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A bipartisan group of senators unveiled legislation today that would dramatically curtail the ability of online platforms to “self-preference” their own services—for example, when Apple pre-installs its own Weather or Podcasts apps on the iPhone, giving it an advantage that independent apps don’t have. The measure accompanies a House bill that included similar provisions, with some changes.

1. The Senate bill closely resembles the House version, and the small improvements will probably not amount to much in practice.

The major substantive changes we have seen between the House bill and the Senate version are:

  1. Violations in Section 2(a) have been modified to refer only to conduct that “unfairly” preferences, limits, or discriminates between the platform’s products and others, and that “materially harm[s] competition on the covered platform,” rather than banning all preferencing, limits, or discrimination.
  2. The evidentiary burden required throughout the bill has been changed from  “clear and convincing” to a “preponderance of evidence” (in other words, greater than 50%).
  3. An affirmative defense has been added to permit a platform to escape liability if it can establish that challenged conduct that “was narrowly tailored, was nonpretextual, and was necessary to… maintain or enhance the core functionality of the covered platform.”
  4. The minimum market capitalization for “covered platforms” has been lowered from $600 billion to $550 billion.
  5. The Senate bill would assess fines of 15% of revenues from the period during which the conduct occurred, in contrast with the House bill, which set fines equal to the greater of either 15% of prior-year revenues or 30% of revenues from the period during which the conduct occurred.
  6. Unlike the House bill, the Senate bill does not create a private right of action. Only the U.S. Justice Department (DOJ), Federal Trade Commission (FTC), and state attorneys-generals could bring enforcement actions on the basis of the bill.

Item one here certainly mitigates the most extreme risks of the House bill, which was drafted, bizarrely, to ban all “preferencing” or “discrimination” by platforms. If that were made law, it could literally have broken much of the Internet. The softened language reduces that risk somewhat.

However, Section 2(b), which lists types of conduct that would presumptively establish a violation under Section 2(a), is largely unchanged. As outlined here, this would amount to a broad ban on a wide swath of beneficial conduct. And “unfair” and “material” are notoriously slippery concepts. As a practical matter, their inclusion here may not significantly alter the course of enforcement under the Senate legislation from what would ensue under the House version.

Item three, which allows challenged conduct to be defended if it is “necessary to… maintain or enhance the core functionality of the covered platform,” may also protect some conduct. But because the bill requires companies to prove that challenged conduct is not only beneficial, but necessary to realize those benefits, it effectively implements a “guilty until proven innocent” standard that is likely to prove impossible to meet. The threat of permanent injunctions and enormous fines will mean that, in many cases, companies simply won’t be able to justify the expense of endeavoring to improve even the “core functionality” of their platforms in any way that could trigger the bill’s liability provisions. Thus, again, as a practical matter, the difference between the Senate and House bills may be only superficial.

The effect of this will likely be to diminish product innovation in these areas, because companies could not know in advance whether the benefits of doing so would be worth the legal risk. We have previously highlighted existing conduct that may be lost if a bill like this passes, such as pre-installation of apps or embedding maps and other “rich” results in boxes on search engine results pages. But the biggest loss may be things we don’t even know about yet, that just never happen because the reward from experimentation is not worth the risk of being found to be “discriminating” against a competitor.

We dove into the House bill in Breaking Down the American Choice and Innovation Online Act and Breaking Down House Democrats’ Forthcoming Competition Bills.

2. The prohibition on “unfair self-preferencing” is vague and expansive and will make Google, Amazon, Facebook, and Apple’s products worse. Consumers don’t want digital platforms to be dumb pipes, or to act like a telephone network or sewer system. The Internet is filled with a superabundance of information and options, as well as a host of malicious actors. Good digital platforms act as middlemen, sorting information in useful ways and taking on some of the risk that exists when, inevitably, we end up doing business with untrustworthy actors.

When users have the choice, they tend to prefer platforms that do quite a bit of “discrimination”—that is, favoring some sellers over others, or offering their own related products or services through the platform. Most people prefer Amazon to eBay because eBay is chaotic and riskier to use.

Competitors that decry self-preferencing by the largest platforms—integrating two different products with each other, like putting a maps box showing only the search engine’s own maps on a search engine results page—argue that the conduct is enabled only by a platform’s market dominance and does not benefit consumers.

Yet these companies often do exactly the same thing in their own products, regardless of whether they have market power. Yelp includes a map on its search results page, not just restaurant listings. DuckDuckGo does the same. If these companies offer these features, it is presumably because they think their users want such results. It seems perfectly plausible that Google does the same because it thinks its users—literally the same users, in most cases—also want them.

Fundamentally, and as we discuss in Against the Vertical Disrcimination Presumption, there is simply no sound basis to enact such a bill (even in a slightly improved version):

The notion that self-preferencing by platforms is harmful to innovation is entirely speculative. Moreover, it is flatly contrary to a range of studies showing that the opposite is likely true. In reality, platform competition is more complicated than simple theories of vertical discrimination would have it, and there is certainly no basis for a presumption of harm.

We discussed self-preferencing further in Platform Self-Preferencing Can Be Good for Consumers and Even Competitors, and showed that platform “discrimination” is often what consumers want from digital platforms in On the Origin of Platforms: An Evolutionary Perspective.

3. The bill massively empowers an FTC that seems intent to use antitrust to achieve political goals. The House bill would enable competitors to pepper covered platforms with frivolous lawsuits. The bill’s sponsors presumably hope that removing the private right of action will help to avoid that. But the bill still leaves intact a much more serious risk to the rule of law: the bill’s provisions are so broad that federal antitrust regulators will have enormous discretion over which cases they take.

This means that whoever is running the FTC and DOJ will be able to threaten covered platforms with a broad array of lawsuits, potentially to influence or control their conduct in other, unrelated areas. While some supporters of the bill regard this as a positive, most antitrust watchers would greet this power with much greater skepticism. Fundamentally, both bills grant antitrust enforcers wildly broad powers to pursue goals unrelated to competition. FTC Chair Lina Khan has, for example, argued that “the dispersion of political and economic control” ought to be antitrust’s goal. Commissioner Rebecca Kelly-Slaughter has argued that antitrust should be “antiracist”.

Whatever the desirability of these goals, the broad discretionary authority the bills confer on the antitrust agencies means that individual commissioners may have significantly greater scope to pursue the goals that they believe to be right, rather than Congress.

See discussions of this point at What Lina Khan’s Appointment Means for the House Antitrust Bills, Republicans Should Tread Carefully as They Consider ‘Solutions’ to Big Tech, The Illiberal Vision of Neo-Brandeisian Antitrust, and Alden Abbott’s discussion of FTC Antitrust Enforcement and the Rule of Law.

4. The bill adopts European principles of competition regulation. These are, to put it mildly, not obviously conducive to the sort of innovation and business growth that Americans may expect. Europe has no tech giants of its own, a condition that shows little sign of changing. Apple, alone, is worth as much as the top 30 companies in Germany’s DAX index, and the top 40 in France’s CAC index. Landmark European competition cases have seen Google fined for embedding Shopping results in the Search page—not because it hurt consumers, but because it hurt competing pricecomparison websites.

A fundamental difference between American and European competition regimes is that the U.S. system is far more friendly to businesses that obtain dominant market positions because they have offered better products more cheaply. Under the American system, successful businesses are normally given broad scope to charge high prices and refuse to deal with competitors. This helps to increase the rewards and incentive to innovate and invest in order to obtain that strong market position. The European model is far more burdensome.

The Senate bill adopts a European approach to refusals to deal—the same approach that led the European Commission to fine Microsoft for including Windows Media Player with Windows—and applies it across Big Tech broadly. Adopting this kind of approach may end up undermining elements of U.S. law that support innovation and growth.

For more, see How US and EU Competition Law Differ.

5. The proposals are based on a misunderstanding of the state of competition in the American economy, and of antitrust enforcement. It is widely believed that the U.S. economy has seen diminished competition. This is mistaken, particularly with respect to digital markets. Apparent rises in market concentration and profit margins disappear when we look more closely: local-level concentration is falling even as national-level concentration is rising, driven by more efficient chains setting up more stores in areas that were previously served by only one or two firms.

And markup rises largely disappear after accounting for fixed costs like R&D and marketing.

Where profits are rising, in areas like manufacturing, it appears to be mainly driven by increased productivity, not higher prices. Real prices have not risen in line with markups. Where profitability has increased, it has been mainly driven by falling costs.

Nor have the number of antitrust cases brought by federal antitrust agencies fallen. The likelihood of a merger being challenged more than doubled between 1979 and 2017. And there is little reason to believe that the deterrent effect of antitrust has weakened. Many critics of Big Tech have decided that there must be a problem and have worked backwards from that conclusion, selecting whatever evidence supports it and ignoring the evidence that does not. The consequence of such motivated reasoning is bills like this.

See Geoff’s April 2020 written testimony to the House Judiciary Investigation Into Competition in Digital Markets here.

[The following post was adapted from the International Center for Law & Economics White Paper “Polluting Words: Is There a Coasean Case to Regulate Offensive Speech?]

Words can wound. They can humiliate, anger, insult.

University students—or, at least, a vociferous minority of them—are keen to prevent this injury by suppressing offensive speech. To ensure campuses are safe places, they militate for the cancellation of talks by speakers with opinions they find offensive, often successfully. And they campaign to get offensive professors fired from their jobs.

Off campus, some want this safety to be extended to the online world and, especially, to the users of social media platforms such as Twitter and Facebook. In the United States, this would mean weakening the legal protections of offensive speech provided by Section 230 of the Communications Decency Act (as President Joe Biden has recommended) or by the First Amendment and. In the United Kingdom, the Online Safety Bill is now before Parliament. If passed, it will give a U.K. government agency the power to dictate the content-moderation policies of social media platforms.

You don’t need to be a woke university student or grandstanding politician to suspect that society suffers from an overproduction of offensive speech. Basic economics provides a reason to suspect it—the reason being that offense is an external cost of speech. The cost is borne not by the speaker but by his audience. And when people do not bear all the costs of an action, they do it too much.

Jack tweets “women don’t have penises.” This offends Jill, who is someone with a penis who considers herself (or himself, if Jack is right) to be a woman. And it offends many others, who agree with Jill that Jack is indulging in ugly transphobic biological essentialism. Lacking Bill Clinton’s facility for feeling the pain of others, Jack does not bear this cost. So, even if it exceeds whatever benefit Jack gets from saying that women don’t have penises, he will still say it. In other words, he will say it even when doing so makes society altogether worse off.

It shouldn’t be allowed!

That’s what we normally say when actions harm others more than they benefit the agent. The law normally conforms to John Stuart Mill’s “Harm Principle” by restricting activities—such as shooting people or treating your neighbours to death metal at 130 decibels at 2 a.m.—with material external costs. Those who seek legal reform to restrict offensive speech are surely doing no more than following an accepted general principle.

But it’s not so simple. As Ronald Coase pointed out in his famous 1960 article “The Problem of Social Cost,” externalities are a reciprocal problem. If Wayne had no neighbors, his playing death metal at 130 decibels at 2 a.m. would have no external costs. Their choice of address is equally a source of the problem. Similarly, if Jill weren’t a Twitter user, she wouldn’t have been offended by Jack’s tweet about who has a penis, since she wouldn’t have encountered it. Externalities are like tangos: they always have at least two perpetrators.

So, the legal question, “who should have a right to what they want?”—Wayne to his loud music or his neighbors to their sleep; Jack to expressing his opinion about women or Jill to not hearing such opinions—cannot be answered by identifying the party who is responsible for the external cost. Both parties are responsible.

How, then, should the question be answered? In the same paper, Coase the showed that, in certain circumstances, who the courts favor will make no difference to what ends up happening, and that what ends up happening will be efficient. Suppose the court says that Wayne cannot bother his neighbors with death metal at 2 a.m. If Wayne would be willing to pay $100,000 to keep doing it and his neighbors, combined, would put up with it for anything more than $95,000, then they should be able to arrive at a mutually beneficial deal whereby Wayne pays them something between $95,000 and $100,000 to forgo their right to stop him making his dreadful noise.

That’s not exactly right. If negotiating a deal would cost more than $5,000, then no mutually beneficial deal is possible and the rights-trading won’t happen. Transaction costs being less than the difference between the two parties’ valuations is the circumstance in which the allocation of legal rights makes no difference to how resources get used, and where efficiency will be achieved, in any event.

But it is an unusual circumstance, especially when the external cost is suffered by many people. When the transaction cost is too high, efficiency does depend on the allocation of rights by courts or legislatures. As Coase argued, when this is so, efficiency will be served if a right to the disputed resource is granted to the party with the higher cost of avoiding the externality.

Given the (implausible) valuations Wayne and his neighbors place on the amount of noise in their environment at 2 a.m., efficiency is served by giving Wayne the right to play his death metal, unless he could soundproof his house or play his music at a much lower volume or take some other avoidance measure that costs him less than the $90,000 cost to his neighbours.

And given that Jack’s tweet about penises offends a large open-ended group of people, with whom Jack therefore cannot negotiate, it looks like they should be given the right not to be offended by Jack’s comment and he should be denied the right to make it. Coasean logic supports the woke censors!          

But, again, it’s not that simple—for two reasons.

The first is that, although those are offended may be harmed by the offending speech, they needn’t necessarily be. Physical pain is usually harmful, but not when experienced by a sexual masochist (in the right circumstances, of course). Similarly, many people take masochistic pleasure in being offended. You can tell they do, because they actively seek out the sources of their suffering. They are genuinely offended, but the offense isn’t harming them, just as the sexual masochist really is in physical pain but isn’t harmed by it. Indeed, real pain and real offense are required, respectively, for the satisfaction of the sexual masochist and the offense masochist.

How many of the offended are offense masochists? Where the offensive speech can be avoided at minimal cost, the answer must be most. Why follow Jordan Peterson on Twitter when you find his opinions offensive unless you enjoy being offended by him? Maybe some are keeping tabs on the dreadful man so that they can better resist him, and they take the pain for that reason rather than for masochistic glee. But how could a legislator or judge know? For all they know, most of those offended by Jordan Peterson are offense masochists and the offense he causes is a positive externality.

The second reason Coasean logic doesn’t support the would-be censors is that social media platforms—the venues of offensive speech that they seek to regulate—are privately owned. To see why this is significant, consider not offensive speech, but an offensive action, such as openly masturbating on a bus.

This is prohibited by law. But it is not the mere act that is illegal. You are allowed to masturbate in the privacy of your bedroom. You may not masturbate on a bus because those who are offended by the sight of it cannot easily avoid it. That’s why it is illegal to express obscenities about Jesus on a billboard erected across the road from a church but not at a meeting of the Angry Atheists Society. The laws that prohibit offensive speech in such circumstances—laws against public nuisance, harassment, public indecency, etc.—are generally efficient. The cost they impose on the offenders is less than the benefits to the offended.

But they are unnecessary when the giving and taking of offense occur within a privately owned place. Suppose no law prohibited masturbating on a bus. It still wouldn’t be allowed on buses owned by a profit-seeker. Few people want to masturbate on buses and most people who ride on buses seek trips that are masturbation-free. A prohibition on masturbation will gain the owner more customers than it loses him. The prohibition is simply another feature of the product offered by the bus company. Nice leather seats, punctual departures, and no wankers (literally). There is no more reason to believe that the bus company’s passenger-conduct rules will be inefficient than that its other product features will be and, therefore, no more reason to legally stipulate them.

The same goes for the content-moderation policies of social media platforms. They are just another product feature offered by a profit-seeking firm. If they repel more customers than they attract (or, more accurately, if they repel more advertising revenue than they attract), they would be inefficient. But then, of course, the company would not adopt them.

Of course, the owner of a social media platform might not be a pure profit-maximiser. For example, he might forgo $10 million in advertising revenue for the sake of banning speakers he personally finds offensive. But the outcome is still efficient. Allowing the speech would have cost more by way of the owner’s unhappiness than the lost advertising would have been worth.  And such powerful feelings in the owner of a platform create an opportunity for competitors who do not share his feelings. They can offer a platform that does not ban the offensive speakers and, if enough people want to hear what they have to say, attract users and the advertising revenue that comes with them. 

If efficiency is your concern, there is no problem for the authorities to solve. Indeed, the idea that the authorities would do a better job of deciding content-moderation rules is not merely absurd, but alarming. Politicians and the bureaucrats who answer to them or are appointed by them would use the power not to promote efficiency, but to promote agendas congenial to them. Jurisprudence in liberal democracies—and, especially, in America—has been suspicious of governmental control of what may be said. Nothing about social media provides good reason to become any less suspicious.

The dystopian novel is a powerful literary genre. It has given us such masterpieces as Nineteen Eighty-Four, Brave New World, and Fahrenheit 451. Though these novels often shed light on the risks of contemporary society and the zeitgeist of the era in which they were written, they also almost always systematically overshoot the mark (intentionally or not) and severely underestimate the radical improvements that stem from the technologies (or other causes) that they fear.

But dystopias are not just a literary phenomenon; they are also a powerful force in policy circles. This is epitomized by influential publications such as The Club of Rome’s 1972 report The Limits of Growth, whose dire predictions of Malthusian catastrophe have largely failed to materialize.

In an article recently published in the George Mason Law Review, we argue that contemporary antitrust scholarship and commentary is similarly afflicted by dystopian thinking. In that respect, today’s antitrust pessimists have set their sights predominantly on the digital economy—”Big Tech” and “Big Data”—in the process of alleging a vast array of potential harms.

Scholars have notably argued that the data created and employed by the digital economy produces network effects that inevitably lead to tipping and to more concentrated markets (e.g., here and here). In other words, firms will allegedly accumulate insurmountable data advantages and thus thwart competitors for extended periods of time.

Some have gone so far as to argue that this threatens the very fabric of western democracy. For instance, parallels between the novel Nineteen Eighty-Four and the power of large digital platforms were plain to see when Epic Games launched an antitrust suit against Apple and its App Store in August 2020. The gaming company released a short video clip parodying Apple’s famous “1984” ad (which, upon its release, was itself widely seen as a critique of the tech incumbents of the time). Similarly, a piece in the New Statesman—titled “Slouching Towards Dystopia: The Rise of Surveillance Capitalism and the Death of Privacy”—concluded that:

Our lives and behaviour have been turned into profit for the Big Tech giants—and we meekly click ‘Accept.’ How did we sleepwalk into a world without privacy?

In our article, we argue that these fears are symptomatic of two different but complementary phenomena, which we refer to as “Antitrust Dystopia” and “Antitrust Nostalgia.”

Antitrust Dystopia is the pessimistic tendency among competition scholars and enforcers to assert that novel business conduct will cause technological advances to have unprecedented, anticompetitive consequences. This is almost always grounded in the belief that “this time is different”—that, despite the benign or positive consequences of previous, similar technological advances, this time those advances will have dire, adverse consequences absent enforcement to stave off abuse.

Antitrust Nostalgia is the biased assumption—often built into antitrust doctrine itself—that change is bad. Antitrust Nostalgia holds that, because a business practice has seemingly benefited competition before, changing it will harm competition going forward. Thus, antitrust enforcement is often skeptical of, and triggered by, various deviations from status quo conduct and relationships (i.e., “nonstandard” business arrangements) when change is, to a first approximation, the hallmark of competition itself.

Our article argues that these two worldviews are premised on particularly questionable assumptions about the way competition unfolds, in this case, in data-intensive markets.

The Case of Big Data Competition

The notion that digital markets are inherently more problematic than their brick-and-mortar counterparts—if there even is a meaningful distinction—is advanced routinely by policymakers, journalists, and other observers. The fear is that, left to their own devices, today’s dominant digital platforms will become all-powerful, protected by an impregnable “data barrier to entry.” Against this alarmist backdrop, nostalgic antitrust scholars have argued for aggressive antitrust intervention against the nonstandard business models and contractual arrangements that characterize these markets.

But as our paper demonstrates, a proper assessment of the attributes of data-intensive digital markets does not support either the dire claims or the proposed interventions.

  1. Data is information

One of the most salient features of the data created and consumed by online firms is that, jargon aside, it is just information. As with other types of information, it thus tends to have at least some traits usually associated with public goods (i.e., goods that are non-rivalrous in consumption and not readily excludable). As the National Bureau of Economic Research’s Catherine Tucker argues, data “has near-zero marginal cost of production and distribution even over long distances,” making it very difficult to exclude others from accessing it. Meanwhile, multiple economic agents can simultaneously use the same data, making it non-rivalrous in consumption.

As we explain in our paper, these features make the nature of modern data almost irreconcilable with the alleged hoarding and dominance that critics routinely associate with the tech industry.

2. Data is not scarce; expertise is

Another important feature of data is that it is ubiquitous. The predominant challenge for firms is not so much in obtaining data but, rather, in drawing useful insights from it. This has two important implications for antitrust policy.

First, although data does not have the self-reinforcing characteristics of network effects, there is a sense that acquiring a certain amount of data and expertise is necessary to compete in data-heavy industries. It is (or should be) equally apparent, however, that this “learning by doing” advantage rapidly reaches a point of diminishing returns.

This is supported by significant empirical evidence. As our survey of the empirical literature shows, data generally entails diminishing marginal returns:

Second, it is firms’ capabilities, rather than the data they own, that lead to success in the marketplace. Critics who argue that firms such as Amazon, Google, and Facebook are successful because of their superior access to data might, in fact, have the causality in reverse. Arguably, it is because these firms have come up with successful industry-defining paradigms that they have amassed so much data, and not the other way around.

This dynamic can be seen at play in the early days of the search-engine market. In 2013, The Atlantic ran a piece titled “What the Web Looked Like Before Google.” By comparing the websites of Google and its rivals in 1998 (when Google Search was launched), the article shows how the current champion of search marked a radical departure from the status quo.

Even if it stumbled upon it by chance, Google immediately identified a winning formula for the search-engine market. It ditched the complicated classification schemes favored by its rivals and opted, instead, for a clean page with a single search box. This ensured that users could access the information they desired in the shortest possible amount of time—thanks, in part, to Google’s PageRank algorithm.

It is hardly surprising that Google’s rivals struggled to keep up with this shift in the search-engine industry. The theory of dynamic capabilities tells us that firms that have achieved success by indexing the web will struggle when the market rapidly moves toward a new paradigm (in this case, Google’s single search box and ten blue links). During the time it took these rivals to identify their weaknesses and repurpose their assets, Google kept on making successful decisions: notably, the introduction of Gmail, its acquisitions of YouTube and Android, and the introduction of Google Maps, among others.

Seen from this evolutionary perspective, Google thrived because its capabilities were perfect for the market at that time, while rivals were ill-adapted.

3.    Data as a byproduct of, and path to, platform monetization

Policymakers should also bear in mind that platforms often must go to great lengths in order to create data about their users—data that these same users often do not know about themselves. Under this framing, data is a byproduct of firms’ activity, rather than an input necessary for rivals to launch a business.

This is especially clear when one looks at the formative years of numerous online platforms. Most of the time, these businesses were started by entrepreneurs who did not own much data but, instead, had a brilliant idea for a service that consumers would value. Even if data ultimately played a role in the monetization of these platforms, it does not appear that it was necessary for their creation.

Data often becomes significant only at a relatively late stage in these businesses’ development. A quick glance at the digital economy is particularly revealing in this regard. Google and Facebook, in particular, both launched their platforms under the assumption that building a successful product would eventually lead to significant revenues.

It took five years from its launch for Facebook to start making a profit. Even at that point, when the platform had 300 million users, it still was not entirely clear whether it would generate most of its income from app sales or online advertisements. It was another three years before Facebook started to cement its position as one of the world’s leading providers of online ads. During this eight-year timespan, Facebook prioritized user growth over the monetization of its platform. The company appears to have concluded (correctly, it turns out) that once its platform attracted enough users, it would surely find a way to make itself highly profitable.

This might explain how Facebook managed to build a highly successful platform despite a large data disadvantage when compared to rivals like MySpace. And Facebook is no outlier. The list of companies that prevailed despite starting with little to no data (and initially lacking a data-dependent monetization strategy) is lengthy. Other examples include TikTok, Airbnb, Amazon, Twitter, PayPal, Snapchat, and Uber.

Those who complain about the unassailable competitive advantages enjoyed by companies with troves of data have it exactly backward. Companies need to innovate to attract consumer data or else consumers will switch to competitors, including both new entrants and established incumbents. As a result, the desire to make use of more and better data drives competitive innovation, with manifestly impressive results. The continued explosion of new products, services, and apps is evidence that data is not a bottleneck to competition, but a spur to drive it.

We’ve Been Here Before: The Microsoft Antitrust Saga

Dystopian and nostalgic discussions concerning the power of successful technology firms are nothing new. Throughout recent history, there have been repeated calls for antitrust authorities to reign in these large companies. These calls for regulation have often led to increased antitrust scrutiny of some form. The Microsoft antitrust cases—which ran from the 1990s to the early 2010s on both sides of the Atlantic—offer a good illustration of the misguided “Antitrust Dystopia.”

In the mid-1990s, Microsoft was one of the most successful and vilified companies in America. After it obtained a commanding position in the desktop operating system market, the company sought to establish a foothold in the burgeoning markets that were developing around the Windows platform (many of which were driven by the emergence of the Internet). These included the Internet browser and media-player markets.

The business tactics employed by Microsoft to execute this transition quickly drew the ire of the press and rival firms, ultimately landing Microsoft in hot water with antitrust authorities on both sides of the Atlantic.

However, as we show in our article, though there were numerous calls for authorities to adopt a precautionary principle-type approach to dealing with Microsoft—and antitrust enforcers were more than receptive to these calls—critics’ worst fears never came to be.

This positive outcome is unlikely to be the result of the antitrust cases that were brought against Microsoft. In other words, the markets in which Microsoft operated seem to have self-corrected (or were misapprehended as competitively constrained) and, today, are generally seen as being unproblematic.

This is not to say that antitrust interventions against Microsoft were necessarily misguided. Instead, our critical point is that commentators and antitrust decisionmakers routinely overlooked or misinterpreted the existing and nonstandard market dynamics that ultimately prevented the worst anticompetitive outcomes from materializing. This is supported by several key factors.

First, the remedies that were imposed against Microsoft by antitrust authorities on both sides of the Atlantic were ultimately quite weak. It is thus unlikely that these remedies, by themselves, prevented Microsoft from dominating its competitors in adjacent markets.

Note that, if this assertion is wrong, and antitrust enforcement did indeed prevent Microsoft from dominating online markets, then there is arguably no need to reform the antitrust laws on either side of the Atlantic, nor even to adopt a particularly aggressive enforcement position. The remedies that were imposed on Microsoft were relatively localized. Accordingly, if antitrust enforcement did indeed prevent Microsoft from dominating other online markets, then it is antitrust enforcement’s deterrent effect that is to thank, and not the remedies actually imposed.

Second, Microsoft lost its bottleneck position. One of the biggest changes that took place in the digital space was the emergence of alternative platforms through which consumers could access the Internet. Indeed, as recently as January 2009, roughly 94% of all Internet traffic came from Windows-based computers. Just over a decade later, this number has fallen to about 31%. Android, iOS, and OS X have shares of roughly 41%, 16%, and 7%, respectively. Consumers can thus access the web via numerous platforms. The emergence of these alternatives reduced the extent to which Microsoft could use its bottleneck position to force its services on consumers in online markets.

Third, it is possible that Microsoft’s own behavior ultimately sowed the seeds of its relative demise. In particular, the alleged barriers to entry (rooted in nostalgic market definitions and skeptical analysis of “ununderstandable” conduct) that were essential to establishing the antitrust case against the company may have been pathways to entry as much as barriers.

Consider this error in the Microsoft court’s analysis of entry barriers: the court pointed out that new entrants faced a barrier that Microsoft didn’t face, in that Microsoft didn’t have to contend with a powerful incumbent impeding its entry by tying up application developers.

But while this may be true, Microsoft did face the absence of any developers at all, and had to essentially create (or encourage the creation of) businesses that didn’t previously exist. Microsoft thus created a huge positive externality for new entrants: existing knowledge and organizations devoted to software development, industry knowledge, reputation, awareness, and incentives for schools to offer courses. It could well be that new entrants, in fact, faced lower barriers with respect to app developers than did Microsoft when it entered.

In short, new entrants may face even more welcoming environments because of incumbents. This enabled Microsoft’s rivals to thrive.

Conclusion

Dystopian antitrust prophecies are generally doomed to fail, just like those belonging to the literary world. The reason is simple. While it is easy to identify what makes dominant firms successful in the present (i.e., what enables them to hold off competitors in the short term), it is almost impossible to conceive of the myriad ways in which the market could adapt. Indeed, it is today’s supra-competitive profits that spur the efforts of competitors.

Surmising that the economy will come to be dominated by a small number of successful firms is thus the same as believing that all market participants can be outsmarted by a few successful ones. This might occur in some cases or for some period of time, but as our article argues, it is bound to happen far less often than pessimists fear.

In short, dystopian scholars have not successfully made the case for precautionary antitrust. Indeed, the economic features of data make it highly unlikely that today’s tech giants could anticompetitively maintain their advantage for an indefinite amount of time, much less leverage this advantage in adjacent markets.

With this in mind, there is one dystopian novel that offers a fitting metaphor to end this Article. The Man in the High Castle tells the story of an alternate present, where Axis forces triumphed over the Allies during the second World War. This turns the dystopia genre on its head: rather than argue that the world is inevitably sliding towards a dark future, The Man in the High Castle posits that the present could be far worse than it is.

In other words, we should not take any of the luxuries we currently enjoy for granted. In the world of antitrust, critics routinely overlook that the emergence of today’s tech industry might have occurred thanks to, and not in spite of, existing antitrust doctrine. Changes to existing antitrust law should thus be dictated by a rigorous assessment of the various costs and benefits they would entail, rather than a litany of hypothetical concerns. The most recent wave of calls for antitrust reform have so far failed to clear this low bar.

In recent years, a diverse cross-section of advocates and politicians have leveled criticisms at Section 230 of the Communications Decency Act and its grant of legal immunity to interactive computer services. Proposed legislative changes to the law have been put forward by both Republicans and Democrats.

It remains unclear whether Congress (or the courts) will amend Section 230, but any changes are bound to expand the scope, uncertainty, and expense of content risks. That’s why it’s important that such changes be developed and implemented in ways that minimize their potential to significantly disrupt and harm online activity. This piece focuses on those insurable content risks that most frequently result in litigation and considers the effect of the direct and indirect costs caused by frivolous suits and lawfare, not just the ultimate potential for a court to find liability. The experience of the 1980s asbestos-litigation crisis offers a warning of what could go wrong.

Enacted in 1996, Section 230 was intended to promote the Internet as a diverse medium for discourse, cultural development, and intellectual activity by shielding interactive computer services from legal liability when blocking or filtering access to obscene, harassing, or otherwise objectionable content. Absent such immunity, a platform hosting content produced by third parties could be held equally responsible as the creator for claims alleging defamation or invasion of privacy.

In the current legislative debates, Section 230’s critics on the left argue that the law does not go far enough to combat hate speech and misinformation. Critics on the right claim the law protects censorship of dissenting opinions. Legal challenges to the current wording of Section 230 arise primarily from what constitutes an “interactive computer service,” “good faith” restriction of content, and the grant of legal immunity, regardless of whether the restricted material is constitutionally protected. 

While Congress and various stakeholders debate various alternate statutory frameworks, several test cases simultaneously have been working their way through the judicial system and some states have either passed or are considering legislation to address complaints with Section 230. Some have suggested passing new federal legislation classifying online platforms as common carriers as an alternate approach that does not involve amending or repealing Section 230. Regardless of the form it may take, change to the status quo is likely to increase the risk of litigation and liability for those hosting or publishing third-party content.

The Nature of Content Risk

The class of individuals and organizations exposed to content risk has never been broader. Any information, content, or communication that is created, gathered, compiled, or amended can be considered “material” which, when disseminated to third parties, may be deemed “publishing.” Liability can arise from any step in that process. Those who republish material are generally held to the same standard of liability as if they were the original publisher. (See, e.g., Rest. (2d) of Torts § 578 with respect to defamation.)

Digitization has simultaneously reduced the cost and expertise required to publish material and increased the potential reach of that material. Where it was once limited to books, newspapers, and periodicals, “publishing” now encompasses such activities as creating and updating a website; creating a podcast or blog post; or even posting to social media. Much of this activity is performed by individuals and businesses who have only limited experience with the legal risks associated with publishing.

This is especially true regarding the use of third-party material, which is used extensively by both sophisticated and unsophisticated platforms. Platforms that host third-party-generated content—e.g., social media or websites with comment sections—have historically engaged in only limited vetting of that content, although this is changing. When combined with the potential to reach consumers far beyond the original platform and target audience—lasting digital traces that are difficult to identify and remove—and the need to comply with privacy and other statutory requirements, the potential for all manner of “publishers” to incur legal liability has never been higher.

Even sophisticated legacy publishers struggle with managing the litigation that arises from these risks. There are a limited number of specialist counsel, which results in higher hourly rates. Oversight of legal bills is not always effective, as internal counsel often have limited resources to manage their daily responsibilities and litigation. As a result, legal fees often make up as much as two-thirds of the average claims cost. Accordingly, defense spending and litigation management are indirect, but important, risks associated with content claims.

Effective risk management is any publisher’s first line of defense. The type and complexity of content risk management varies significantly by organization, based on its size, resources, activities, risk appetite, and sophistication. Traditional publishers typically have a formal set of editorial guidelines specifying policies governing the creation of content, pre-publication review, editorial-approval authority, and referral to internal and external legal counsel. They often maintain a library of standardized contracts; have a process to periodically review and update those wordings; and a process to verify the validity of a potential licensor’s rights. Most have formal controls to respond to complaints and to retraction/takedown requests.

Insuring Content Risks

Insurance is integral to most publishers’ risk-management plans. Content coverage is present, to some degree, in most general liability policies (i.e., for “advertising liability”). Specialized coverage—commonly referred to as “media” or “media E&O”—is available on a standalone basis or may be packaged with cyber-liability coverage. Terms of specialized coverage can vary significantly, but generally provides at least basic coverage for the three primary content risks of defamation, copyright infringement, and invasion of privacy.

Insureds typically retain the first dollar loss up to a specific dollar threshold. They may also retain a coinsurance percentage of every dollar thereafter in partnership with their insurer. For example, an insured may be responsible for the first $25,000 of loss, and for 10% of loss above that threshold. Such coinsurance structures often are used by insurers as a non-monetary tool to help control legal spending and to incentivize an organization to employ effective oversight of counsel’s billing practices.

The type and amount of loss retained will depend on the insured’s size, resources, risk profile, risk appetite, and insurance budget. Generally, but not always, increases in an insured’s retention or an insurer’s attachment (e.g., raising the threshold to $50,000, or raising the insured’s coinsurance to 15%) will result in lower premiums. Most insureds will seek the smallest retention feasible within their budget. 

Contract limits (the maximum coverage payout available) will vary based on the same factors. Larger policyholders often build a “tower” of insurance made up of multiple layers of the same or similar coverage issued by different insurers. Two or more insurers may partner on the same “quota share” layer and split any loss incurred within that layer on a pre-agreed proportional basis.  

Navigating the strategic choices involved in developing an insurance program can be complex, depending on an organization’s risks. Policyholders often use commercial brokers to aide them in developing an appropriate risk-management and insurance strategy that maximizes coverage within their budget and to assist with claims recoveries. This is particularly important for small and mid-sized insureds who may lack the sophistication or budget of larger organizations. Policyholders and brokers try to minimize the gaps in coverage between layers and among quota-share participants, but such gaps can occur, leaving a policyholder partially self-insured.

An organization’s options to insure its content risk may also be influenced by the dynamics of the overall insurance market or within specific content lines. Underwriters are not all created equal; it is a challenging responsibility requiring a level of prediction, and some underwriters may fail to adequately identify and account for certain risks. It can also be challenging to accurately measure risk aggregation and set appropriate reserves. An insurer’s appetite for certain lines and the availability of supporting reinsurance can fluctuate based on trends in the general capital markets. Specialty media/content coverage is a small niche within the global commercial insurance market, which makes insurers in this line more sensitive to these general trends.

Litigation Risks from Changes to Section 230

A full repeal or judicial invalidation of Section 230 generally would make every platform responsible for all the content they disseminate, regardless of who created the material requiring at least some additional editorial review. This would significantly disadvantage those platforms that host a significant volume of third-party content. Internet service providers, cable companies, social media, and product/service review companies would be put under tremendous strain, given the daily volume of content produced. To reduce the risk that they serve as a “deep pocket” target for plaintiffs, they would likely adopt more robust pre-publication screening of content and authorized third-parties; limit public interfaces; require registration before a user may publish content; employ more reactive complaint response/takedown policies; and ban problem users more frequently. Small and mid-sized enterprises (SMEs), as well as those not focused primarily on the business of publishing, would likely avoid many interactive functions altogether. 

A full repeal would be, in many ways, a blunderbuss approach to dealing with criticisms of Section 230, and would cause as many or more problems as it solves. In the current polarized environment, it also appears unlikely that Congress will reach bipartisan agreement on amended language for Section 230, or to classify interactive computer services as common carriers, given that the changes desired by the political left and right are so divergent. What may be more likely is that courts encounter a test case that prompts them to clarify the application of the existing statutory language—i.e., whether an entity was acting as a neutral platform or a content creator, whether its conduct was in “good faith,” and whether the material is “objectionable” within the meaning of the statute.

A relatively greater frequency of litigation is almost inevitable in the wake of any changes to the status quo, whether made by Congress or the courts. Major litigation would likely focus on those social-media platforms at the center of the Section 230 controversy, such as Facebook and Twitter, given their active role in these issues, deep pockets and, potentially, various admissions against interest helpful to plaintiffs regarding their level of editorial judgment. SMEs could also be affected in the immediate wake of a change to the statute or its interpretation. While SMEs are likely to be implicated on a smaller scale, the impact of litigation could be even more damaging to their viability if they are not adequately insured.

Over time, the boundaries of an amended Section 230’s application and any consequential effects should become clearer as courts develop application criteria and precedent is established for different fact patterns. Exposed platforms will likely make changes to their activities and risk-management strategies consistent with such developments. Operationally, some interactive features—such as comment sections or product and service reviews—may become less common.

In the short and medium term, however, a period of increased and unforeseen litigation to resolve these issues is likely to prove expensive and damaging. Insurers of content risks are likely to bear the brunt of any changes to Section 230, because these risks and their financial costs would be new, uncertain, and not incorporated into historical pricing of content risk. 

Remembering the Asbestos Crisis

The introduction of a new exposure or legal risk can have significant financial effects on commercial insurance carriers. New and revised risks must be accounted for in the assumptions, probabilities, and load factors used in insurance pricing and reserving models. Even small changes in those values can have large aggregate effects, which may undermine confidence in those models, complicate obtaining reinsurance, or harm an insurer’s overall financial health.

For example, in the 1980s, certain courts adopted the triple-trigger and continuous trigger methods[1] of determining when a policyholder could access coverage under an “occurrence” policy for asbestos claims. As a result, insurers paid claims under policies dating back to the early 1900s and, in some cases, under all policies from that date until the date of the claim. Such policies were written when mesothelioma related to asbestos was unknown and not incorporated into the policy pricing.

Insurers had long-since released reserves from the decades-old policy years, so those resources were not available to pay claims. Nor could underwriters retroactively increase premiums for the intervening years and smooth out the cost of these claims. This created extreme financial stress for impacted insurers and reinsurers, with some ultimately rendered insolvent. Surviving carriers responded by drastically reducing coverage and increasing prices, which resulted in a major capacity shortage that resolved only after the creation of the Bermuda insurance and reinsurance market. 

The asbestos-related liability crisis represented a perfect storm that is unlikely to be replicated. Given the ubiquitous nature of digital content, however, any drastic or misconceived changes to Section 230 protections could still cause significant disruption to the commercial insurance market. 

Content risk is covered, at least in part, by general liability and many cyber policies, but it is not currently a primary focus for underwriters. Specialty media underwriters are more likely to be monitoring Section 230 risk, but the highly competitive market will make it difficult for them to respond to any changes with significant price increases. In addition, the current market environment for U.S. property and casualty insurance generally is in the midst of correcting for years of inadequate pricing, expanding coverage, developing exposures, and claims inflation. It would be extremely difficult to charge an adequate premium increase if the potential severity of content risk were to increase suddenly.

In the face of such risk uncertainty and challenges to adequately increasing premiums, underwriters would likely seek to reduce their exposure to online content risks, i.e., by reducing the scope of coverage, reducing limits, and increasing retentions. How these changes would manifest, and the pain for all involved, would likely depend on how quickly such changes in policyholders’ risk profiles manifest. 

Small or specialty carriers caught unprepared could be forced to exit the market if they experienced a sharp spike in claims or unexpected increase in needed reserves. Larger, multiline carriers may respond by voluntarily reducing or withdrawing their participation in this space. Insurers exposed to ancillary content risk may simply exclude it from cover if adequate price increases are impractical. Such reactions could result in content coverage becoming harder to obtain or unavailable altogether. This, in turn, would incentivize organizations to limit or avoid certain digital activities.

Finding a More Thoughtful Approach

The tension between calls for reform of Section 230 and the potential for disrupting online activity does not mean that political leaders and courts should ignore these issues. Rather, it means that what’s required is a thoughtful, clear, and predictable approach to any changes, with the goal of maximizing the clarity of the changes and their application and minimizing any resulting litigation. Regardless of whether accomplished through legislation or the judicial process, addressing the following issues could minimize the duration and severity of any period of harmful disruption regarding content-risk:

  1. Presumptive immunity – Including an express statement in the definition of “interactive computer service,” or inferring one judicially, to clarify that platforms hosting third-party content enjoy a rebuttable presumption that statutory immunity applies would discourage frivolous litigation as courts establish precedent defining the applicability of any other revisions. 
  1. Specify the grounds for losing immunity – Clarify, at a minimum, what constitutes “good faith” with respect to content restrictions and further clarify what material is or is not “objectionable,” as it relates to newsworthy content or actions that trigger loss of immunity.
  1. Specify the scope and duration of any loss of immunity – Clarify whether the loss of immunity is total, categorical, or specific to the situation under review and the duration of that loss of immunity, if applicable.
  1. Reinstatement of immunity, subject to burden-shifting – Clarify what a platform must do to reinstate statutory immunity on a go-forward basis and clarify that it bears the burden of proving its go-forward conduct entitled it to statutory protection.
  1. Address associated issues – Any clarification or interpretation should address other issues likely to arise, such as the effect and weight to be given to a platform’s application of its community standards, adherence to neutral takedown/complain procedures, etc. Care should be taken to avoid overcorrecting and creating a “heckler’s veto.” 
  1. Deferred effect – If change is made legislatively, the effective date should be deferred for a reasonable time to allow platforms sufficient opportunity to adjust their current risk-management policies, contractual arrangements, content publishing and storage practices, and insurance arrangements in a thoughtful, orderly fashion that accounts for the new rules.

Ultimately, legislative and judicial stakeholders will chart their own course to address the widespread dissatisfaction with Section 230. More important than any of these specific policy suggestions is the principle underpins them: that any changes incorporate due consideration for the potential direct and downstream harm that can be caused if policy is not clear, comprehensive, and designed to minimize unnecessary litigation. 

It is no surprise that, in the years since Section 230 of the Communications Decency Act was passed, the environment and risks associated with digital platforms have evolved or that those changes have created a certain amount of friction in the law’s application. Policymakers should employ a holistic approach when evaluating their legislative and judicial options to revise or clarify the application of Section 230. Doing so in a targeted, predictable fashion should help to mitigate or avoid the risk of increased litigation and other unintended consequences that might otherwise prove harmful to online platforms in the commercial insurance market.

Aaron Tilley is a senior insurance executive with more than 16 years of commercial insurance experience in executive management, underwriting, legal, and claims working in or with the U.S., Bermuda, and London markets. He has served as chief underwriting officer of a specialty media E&O and cyber-liability insurer and as coverage counsel representing international insurers with respect to a variety of E&O and advertising liability claims


[1] The triple-trigger method allowed a policy to be accessed based on the date of the injury-in-fact, manifestation of injury, or exposure to substances known to cause injury. The continuous trigger allowed all policies issued by an insurer, not just one, to be accessed if a triggering event could be established during the policy period.

In a recent op-ed, Robert Bork Jr. laments the Biden administration’s drive to jettison the Consumer Welfare Standard that has formed nearly half a century of antitrust jurisprudence. The move can be seen in the near-revolution at the Federal Trade Commission, in the president’s executive order on competition enforcement, and in several of the major antitrust bills currently before Congress.

Bork notes the Competition and Antitrust Law Enforcement Reform Act, introduced by Sen. Amy Klobuchar (D-Minn.), would “outlaw any mergers or acquisitions for the more than 80 large U.S. companies valued over $100 billion.”

Bork is correct that it will be more than 80 companies, but it is likely to be way more. While the Klobuchar bill does not explicitly outlaw such mergers, under certain circumstances, it shifts the burden of proof to the merging parties, who must demonstrate that the benefits of the transaction outweigh the potential risks. Under current law, the burden is on the government to demonstrate the potential costs outweigh the potential benefits.

One of the measure’s specific triggers for this burden-shifting is if the acquiring party has a market capitalization, assets, or annual net revenue of more than $100 billion and seeks a merger or acquisition valued at $50 million or more. About 120 or more U.S. companies satisfy at least one of these conditions. The end of this post provides a list of publicly traded companies, according to Zacks’ stock screener, that would likely be subject to the shift in burden of proof.

If the goal is to go after Big Tech, the Klobuchar bill hits the mark. All of the FAANG companies—Facebook, Amazon, Apple, Netflix, and Alphabet (formerly known as Google)—satisfy one or more of the criteria. So do Microsoft and PayPal.

But even some smaller tech firms will be subject to the shift in burden of proof. Zoom and Square have market caps that would trigger under Klobuchar’s bill and Snap is hovering around $100 billion in market cap. Twitter and eBay, however, are well under any of the thresholds. Likewise, privately owned Advance Communications, owner of Reddit, would also likely fall short of any of the triggers.

Snapchat has a little more than 300 million monthly active users. Twitter and Reddit each have about 330 million monthly active users. Nevertheless, under the Klobuchar bill, Snapchat is presumed to have more market power than either Twitter or Reddit, simply because the market assigns a higher valuation to Snap.

But this bill is about more than Big Tech. Tesla, which sold its first car only 13 years ago, is now considered big enough that it will face the same antitrust scrutiny as the Big 3 automakers. Walmart, Costco, and Kroger would be subject to the shifted burden of proof, while Safeway and Publix would escape such scrutiny. An acquisition by U.S.-based Nike would be put under the microscope, but a similar acquisition by Germany’s Adidas would not fall under the Klobuchar bill’s thresholds.

Tesla accounts for less than 2% of the vehicles sold in the United States. I have no idea what Walmart, Costco, Kroger, or Nike’s market share is, or even what comprises “the” market these companies compete in. What we do know is that the U.S. Department of Justice and Federal Trade Commission excel at narrowly crafting market definitions so that just about any company can be defined as dominant.

So much of the recent interest in antitrust has focused on Big Tech. But even the biggest of Big Tech firms operate in dynamic and competitive markets. None of my four children use Facebook or Twitter. My wife and I don’t use Snapchat. We all use Netflix, but we also use Hulu, Disney+, HBO Max, YouTube, and Amazon Prime Video. None of these services have a monopoly on our eyeballs, our attention, or our pocketbooks.

The antitrust bills currently working their way through Congress abandon the long-standing balancing of pro- versus anti-competitive effects of mergers in favor of a “big is bad” approach. While the Klobuchar bill appears to provide clear guidance on the thresholds triggering a shift in the burden of proof, the arbitrary nature of the thresholds will result in arbitrary application of the burden of proof. If passed, we will soon be faced with a case in which two firms who differ only in market cap, assets, or sales will be subject to very different antitrust scrutiny, resulting in regulatory chaos.

Publicly traded companies with more than $100 billion in market capitalization

3MDanaher Corp.PepsiCo
Abbott LaboratoriesDeere & Co.Pfizer
AbbVieEli Lilly and Co.Philip Morris International
Adobe Inc.ExxonMobilProcter & Gamble
Advanced Micro DevicesFacebook Inc.Qualcomm
Alphabet Inc.General Electric Co.Raytheon Technologies
AmazonGoldman SachsSalesforce
American ExpressHoneywellServiceNow
American TowerIBMSquare Inc.
AmgenIntelStarbucks
Apple Inc.IntuitTarget Corp.
Applied MaterialsIntuitive SurgicalTesla Inc.
AT&TJohnson & JohnsonTexas Instruments
Bank of AmericaJPMorgan ChaseThe Coca-Cola Co.
Berkshire HathawayLockheed MartinThe Estée Lauder Cos.
BlackRockLowe’sThe Home Depot
BoeingMastercardThe Walt Disney Co.
Bristol Myers SquibbMcDonald’sThermo Fisher Scientific
Broadcom Inc.MedtronicT-Mobile US
Caterpillar Inc.Merck & Co.Union Pacific Corp.
Charles Schwab Corp.MicrosoftUnited Parcel Service
Charter CommunicationsMorgan StanleyUnitedHealth Group
Chevron Corp.NetflixVerizon Communications
Cisco SystemsNextEra EnergyVisa Inc.
CitigroupNike Inc.Walmart
ComcastNvidiaWells Fargo
CostcoOracle Corp.Zoom Video Communications
CVS HealthPayPal

Publicly traded companies with more than $100 billion in current assets

Ally FinancialFreddie Mac
American International GroupKeyBank
BNY MellonM&T Bank
Capital OneNorthern Trust
Citizens Financial GroupPNC Financial Services
Fannie MaeRegions Financial Corp.
Fifth Third BankState Street Corp.
First Republic BankTruist Financial
Ford Motor Co.U.S. Bancorp

Publicly traded companies with more than $100 billion in sales

AmerisourceBergenDell Technologies
AnthemGeneral Motors
Cardinal HealthKroger
Centene Corp.McKesson Corp.
CignaWalgreens Boots Alliance

[TOTM: The following is part of a symposium by TOTM guests and authors marking the release of Nicolas Petit’s “Big Tech and the Digital Economy: The Moligopoly Scenario.” The entire series of posts is available here.

This post is authored by Nicolas Petit himself, the Joint Chair in Competition Law at the Department of Law at European University Institute in Fiesole, Italy, and at EUI’s Robert Schuman Centre for Advanced Studies. He is also invited professor at the College of Europe in Bruges
.]

A lot of water has gone under the bridge since my book was published last year. To close this symposium, I thought I would discuss the new phase of antirust statutorification taking place before our eyes. In the United States, Congress is working on five antitrust bills that propose to subject platforms to stringent obligations, including a ban on mergers and acquisitions, required data portability and interoperability, and line-of-business restrictions. In the European Union (EU), lawmakers are examining the proposed Digital Markets Act (“DMA”) that sets out a complicated regulatory system for digital “gatekeepers,” with per se behavioral limitations of their freedom over contractual terms, technological design, monetization, and ecosystem leadership.

Proponents of legislative reform on both sides of the Atlantic appear to share the common view that ongoing antitrust adjudication efforts are both instrumental and irrelevant. They are instrumental because government (or plaintiff) losses build the evidence needed to support the view that antitrust doctrine is exceedingly conservative, and that legal reform is needed. Two weeks ago, antitrust reform activists ran to Twitter to point out that the U.S. District Court dismissal of the Federal Trade Commission’s (FTC) complaint against Facebook was one more piece of evidence supporting the view that the antitrust pendulum needed to swing. They are instrumental because, again, government (or plaintiffs) wins will support scaling antitrust enforcement in the marginal case by adoption of governmental regulation. In the EU, antitrust cases follow each other almost like night the day, lending credence to the view that regulation will bring much needed coordination and economies of scale.

But both instrumentalities are, at the end of the line, irrelevant, because they lead to the same conclusion: legislative reform is long overdue. With this in mind, the logic of lawmakers is that they need not await the courts, and they can advance with haste and confidence toward the promulgation of new antitrust statutes.

The antitrust reform process that is unfolding is a cause for questioning. The issue is not legal reform in itself. There is no suggestion here that statutory reform is necessarily inferior, and no correlative reification of the judge-made-law method. Legislative intervention can occur for good reason, like when it breaks judicial inertia caused by ideological logjam.

The issue is rather one of precipitation. There is a lot of learning in the cases. The point, simply put, is that a supplementary court-legislative dialogue would yield additional information—or what Guido Calabresi has called “starting points” for regulation—that premature legislative intervention is sweeping under the rug. This issue is important because specification errors (see Doug Melamed’s symposium piece on this) in statutory legislation are not uncommon. Feedback from court cases create a factual record that will often be missing when lawmakers act too precipitously.

Moreover, a court-legislative iteration is useful when the issues in discussion are cross-cutting. The digital economy brings an abundance of them. As tech analysist Ben Evans has observed, data-sharing obligations raise tradeoffs between contestability and privacy. Chapter VI of my book shows that breakups of social networks or search engines might promote rivalry and, at the same time, increase the leverage of advertisers to extract more user data and conduct more targeted advertising. In such cases, Calabresi said, judges who know the legal topography are well-placed to elicit the preferences of society. He added that they are better placed than government agencies’ officials or delegated experts, who often attend to the immediate problem without the big picture in mind (all the more when officials are denied opportunities to engage with civil society and the press, as per the policy announced by the new FTC leadership).

Of course, there are three objections to this. The first consists of arguing that statutes are needed now because courts are too slow to deal with problems. The argument is not dissimilar to Frank Easterbrook’s concerns about irreversible harms to the economy, though with a tweak. Where Easterbook’s concern was one of ossification of Type I errors due to stare decisis, the concern here is one of entrenchment of durable monopoly power in the digital sector due to Type II errors. The concern, however, fails the test of evidence. The available data in both the United States and Europe shows unprecedented vitality in the digital sector. Venture capital funding cruises at historical heights, fueling new firm entry, business creation, and economic dynamism in the U.S. and EU digital sectors, topping all other industries. Unless we require higher levels of entry from digital markets than from other industries—or discount the social value of entry in the digital sector—this should give us reason to push pause on lawmaking efforts.

The second objection is that following an incremental process of updating the law through the courts creates intolerable uncertainty. But this objection, too, is unconvincing, at best. One may ask which of an abrupt legislative change of the law after decades of legal stability or of an experimental process of judicial renovation brings more uncertainty.

Besides, ad hoc statutes, such as the ones in discussion, are likely to pose quickly and dramatically the problem of their own legal obsolescence. Detailed and technical statutes specify rights, requirements, and procedures that often do not stand the test of time. For example, the DMA likely captures Windows as a core platform service subject to gatekeeping. But is the market power of Microsoft over Windows still relevant today, and isn’t it constrained in effect by existing antitrust rules?  In antitrust, vagueness in critical statutory terms allows room for change.[1] The best way to give meaning to buzzwords like “smart” or “future-proof” regulation consists of building in first principles, not in creating discretionary opportunities for permanent adaptation of the law. In reality, it is hard to see how the methods of future-proof regulation currently discussed in the EU creates less uncertainty than a court process.

The third objection is that we do not need more information, because we now benefit from economic knowledge showing that existing antitrust laws are too permissive of anticompetitive business conduct. But is the economic literature actually supportive of stricter rules against defendants than the rule-of-reason framework that applies in many unilateral conduct cases and in merger law? The answer is surely no. The theoretical economic literature has travelled a lot in the past 50 years. Of particular interest are works on network externalities, switching costs, and multi-sided markets. But the progress achieved in the economic understanding of markets is more descriptive than normative.

Take the celebrated multi-sided market theory. The main contribution of the theory is its advice to decision-makers to take the periscope out, so as to consider all possible welfare tradeoffs, not to be more or less defendant friendly. Payment cards provide a good example. Economic research suggests that any antitrust or regulatory intervention on prices affect tradeoffs between, and payoffs to, cardholders and merchants, cardholders and cash users, cardholders and banks, and banks and card systems. Equally numerous tradeoffs arise in many sectors of the digital economy, like ridesharing, targeted advertisement, or social networks. Multi-sided market theory renders these tradeoffs visible. But it does not come with a clear recipe for how to solve them. For that, one needs to follow first principles. A system of measurement that is flexible and welfare-based helps, as Kelly Fayne observed in her critical symposium piece on the book.

Another example might be worth considering. The theory of increasing returns suggests that markets subject to network effects tend to converge around the selection of a single technology standard, and it is not a given that the selected technology is the best one. One policy implication is that social planners might be justified in keeping a second option on the table. As I discuss in Chapter V of my book, the theory may support an M&A ban against platforms in tipped markets, on the conjecture that the assets of fringe firms might be efficiently repositioned to offer product differentiation to consumers. But the theory of increasing returns does not say under what conditions we can know that the selected technology is suboptimal. Moreover, if the selected technology is the optimal one, or if the suboptimal technology quickly obsolesces, are policy efforts at all needed?

Last, as Bo Heiden’s thought provoking symposium piece argues, it is not a given that antitrust enforcement of rivalry in markets is the best way to maintain an alternative technology alive, let alone to supply the innovation needed to deliver economic prosperity. Government procurement, science and technology policy, and intellectual-property policy might be equally effective (note that the fathers of the theory, like Brian Arthur or Paul David, have been very silent on antitrust reform).

There are, of course, exceptions to the limited normative content of modern economic theory. In some areas, economic theory is more predictive of consumer harms, like in relation to algorithmic collusion, interlocking directorates, or “killer” acquisitions. But the applications are discrete and industry-specific. All are insufficient to declare that the antitrust apparatus is dated and that it requires a full overhaul. When modern economic research turns normative, it is often way more subtle in its implications than some wild policy claims derived from it. For example, the emerging studies that claim to identify broad patterns of rising market power in the economy in no way lead to an implication that there are no pro-competitive mergers.

Similarly, the empirical picture of digital markets is incomplete. The past few years have seen a proliferation of qualitative research reports on industry structure in the digital sectors. Most suggest that industry concentration has risen, particularly in the digital sector. As with any research exercise, these reports’ findings deserve to be subject to critical examination before they can be deemed supportive of a claim of “sufficient experience.” Moreover, there is no reason to subject these reports to a lower standard of accountability on grounds that they have often been drafted by experts upon demand from antitrust agencies. After all, we academics are ethically obliged to be at least equally exacting with policy-based research as we are with science-based research.

Now, with healthy skepticism at the back of one’s mind, one can see immediately that the findings of expert reports to date have tended to downplay behavioral observations that counterbalance findings of monopoly power—such as intense business anxiety, technological innovation, and demand-expansion investments in digital markets. This was, I believe, the main takeaway from Chapter IV of my book. And less than six months ago, The Economist ran its leading story on the new marketplace reality of “Tech’s Big Dust-Up.”

More importantly, the findings of the various expert reports never seriously contemplate the possibility of competition by differentiation in business models among the platforms. Take privacy, for example. As Peter Klein reasonably writes in his symposium article, we should not be quick to assume market failure. After all, we might have more choice than meets the eye, with Google free but ad-based, and Apple pricy but less-targeted. More generally, Richard Langlois makes a very convincing point that diversification is at the heart of competition between the large digital gatekeepers. We might just be too short-termist—here, digital communications technology might help create a false sense of urgency—to wait for the end state of the Big Tech moligopoly.

Similarly, the expert reports did not really question the real possibility of competition for the purchase of regulation. As in the classic George Stigler paper, where the railroad industry fought motor-trucking competition with state regulation, the businesses that stand to lose most from the digital transformation might be rationally jockeying to convince lawmakers that not all business models are equal, and to steer regulation toward specific business models. Again, though we do not know how to consider this issue, there are signs that a coalition of large news corporations and the publishing oligopoly are behind many antitrust initiatives against digital firms.

Now, as is now clear from these few lines, my cautionary note against antitrust statutorification might be more relevant to the U.S. market. In the EU, sunk investments have been made, expectations have been created, and regulation has now become inevitable. The United States, however, has a chance to get this right. Court cases are the way to go. And unlike what the popular coverage suggests, the recent District Court dismissal of the FTC case far from ruled out the applicability of U.S. antitrust laws to Facebook’s alleged killer acquisitions. On the contrary, the ruling actually contains an invitation to rework a rushed complaint. Perhaps, as Shane Greenstein observed in his retrospective analysis of the U.S. Microsoft case, we would all benefit if we studied more carefully the learning that lies in the cases, rather than haste to produce instant antitrust analysis on Twitter that fits within 280 characters.


[1] But some threshold conditions like agreement or dominance might also become dated. 

PHOTO: C-Span

Lina Khan’s appointment as chair of the Federal Trade Commission (FTC) is a remarkable accomplishment. At 32 years old, she is the youngest chair ever. Her longstanding criticisms of the Consumer Welfare Standard and alignment with the neo-Brandeisean school of thought make her appointment a significant achievement for proponents of those viewpoints. 

Her appointment also comes as House Democrats are preparing to mark up five bills designed to regulate Big Tech and, in the process, vastly expand the FTC’s powers. This expansion may combine with Khan’s appointment in ways that lawmakers considering the bills have not yet considered.

This is a critical time for the FTC. It has lost a number of high-profile lawsuits and is preparing to expand its rulemaking powers to regulate things like employment contracts and businesses’ use of data. Khan has also argued in favor of additional rulemaking powers around “unfair methods of competition.”

As things stand, the FTC under Khan’s leadership is likely to push for more extensive regulatory powers, akin to those held by the Federal Communications Commission (FCC). But these expansions would be trivial compared to what is proposed by many of the bills currently being prepared for a June 23 mark-up in the House Judiciary Committee. 

The flagship bill—Rep. David Cicilline’s (D-R.I.) American Innovation and Choice Online Act—is described as a platform “non-discrimination” bill. I have already discussed what the real-world effects of this bill would likely be. Briefly, it would restrict platforms’ ability to offer richer, more integrated services at all, since those integrations could be challenged as “discrimination” at the cost of would-be competitors’ offerings. Things like free shipping on Amazon Prime, pre-installed apps on iPhones, or even including links to Gmail and Google Calendar at the top of a Google Search page could be precluded under the bill’s terms; in each case, there is a potential competitor being undermined. 

In fact, the bill’s scope is so broad that some have argued that the FTC simply would not challenge “innocuous self-preferencing” like, say, Apple pre-installing Apple Music on iPhones. Economist Hal Singer has defended the proposals on the grounds that, “Due to limited resources, not all platform integration will be challenged.” 

But this shifts the focus to the FTC itself, and implies that it would have potentially enormous discretionary power under these proposals to enforce the law selectively. 

Companies found guilty of breaching the bill’s terms would be liable for civil penalties of up to 15 percent of annual U.S. revenue, a potentially significant sum. And though the Supreme Court recently ruled unanimously against the FTC’s powers to levy civil fines unilaterally—which the FTC opposed vociferously, and may get restored by other means—there are two scenarios through which it could end up getting extraordinarily extensive control over the platforms covered by the bill.

The first course is through selective enforcement. What Singer above describes as a positive—the fact that enforcers would just let “benign” violations of the law be—would mean that the FTC itself would have tremendous scope to choose which cases it brings, and might do so for idiosyncratic, politicized reasons.

This approach is common in countries with weak rule of law. Anti-corruption laws are frequently used to punish opponents of the regime in China, who probably are also corrupt, but are prosecuted because they have challenged the regime in some way. Hong Kong’s National Security law has also been used to target peaceful protestors and critical media thanks to its vague and overly broad drafting. 

Obviously, that’s far more sinister than what we’re talking about here. But these examples highlight how excessively broad laws applied at the enforcer’s discretion give broad powers to the enforcer to penalize defendants for other, unrelated things. Or, to quote Jay-Z: “Am I under arrest or should I guess some more? / ‘Well, you was doing 55 in a 54.’

The second path would be to use these powers as leverage to get broad consent decrees to govern the conduct of covered platforms. These occur when a lawsuit is settled, with the defendant company agreeing to change its business practices under supervision of the plaintiff agency (in this case, the FTC). The Cambridge Analytica lawsuit ended this way, with Facebook agreeing to change its data-sharing practices under the supervision of the FTC. 

This path would mean the FTC creating bespoke, open-ended regulation for each covered platform. Like the first path, this could create significant scope for discretionary decision-making by the FTC and potentially allow FTC officials to impose their own, non-economic goals on these firms. And it would require costly monitoring of each firm subject to bespoke regulation to ensure that no breaches of that regulation occurred.

Khan, as a critic of the Consumer Welfare Standard, believes that antitrust ought to be used to pursue non-economic objectives, including “the dispersion of political and economic control.” She, and the FTC under her, may wish to use this discretionary power to prosecute firms that she feels are hurting society for unrelated reasons, such as because of political stances they have (or have not) taken.

Khan’s fellow commissioner, Rebecca Kelly Slaughter, has argued that antitrust should be “antiracist”; that “as long as Black-owned businesses and Black consumers are systematically underrepresented and disadvantaged, we know our markets are not fair”; and that the FTC should consider using its existing rulemaking powers to address racist practices. These may be desirable goals, but their application would require contentious value judgements that lawmakers may not want the FTC to make.

Khan herself has been less explicit about the goals she has in mind, but has given some hints. In her essay “The Ideological Roots of America’s Market Power Problem”, Khan highlights approvingly former Associate Justice William O. Douglas’s account of:

“economic power as inextricably political. Power in industry is the power to steer outcomes. It grants outsized control to a few, subjecting the public to unaccountable private power—and thereby threatening democratic order. The account also offers a positive vision of how economic power should be organized (decentralized and dispersed), a recognition that forms of economic power are not inevitable and instead can be restructured.” [italics added]

Though I have focused on Cicilline’s flagship bill, others grant significant new powers to the FTC, as well. The data portability and interoperability bill doesn’t actually define what “data” is; it leaves it to the FTC to “define the term ‘data’ for the purpose of implementing and enforcing this Act.” And, as I’ve written elsewhere, data interoperability needs significant ongoing regulatory oversight to work at all, a responsibility that this bill also hands to the FTC. Even a move as apparently narrow as data portability will involve a significant expansion of the FTC’s powers and give it a greater role as an ongoing economic regulator.

It is concerning enough that this legislative package would prohibit conduct that is good for consumers, and that actually increases the competition faced by Big Tech firms. Congress should understand that it also gives extensive discretionary powers to an agency intent on using them to pursue broad, political goals. If Khan’s appointment as chair was a surprise, what her FTC does with the new powers given to her by Congress should not be.

Economist Josh Hendrickson asserts that the Jones Act is properly understood as a Coasean bargain. In this view, the law serves as a subsidy to the U.S. maritime industry through its restriction of waterborne domestic commerce to vessels that are constructed in U.S. shipyards, U.S.-flagged, and U.S.-crewed. Such protectionism, it is argued, provides the government with ready access to these assets, rather than taking precious time to build them up during times of conflict.

We are skeptical of this characterization.

Although there is an implicit bargain behind the Jones Act, its relationship to the work of Ronald Coase is unclear. Coase is best known for his theorem on the use of bargains and exchanges to reduce negative externalities. But the negative externality is that the Jones Act attempts to address is not apparent. While it may be more efficient or effective than the government building up its own shipbuilding, vessels, and crew in times of war, that’s rather different than addressing an externality. The Jones Act may reflect an implied exchange between the domestic maritime industry and government, but there does not appear to be anything particularly Coasean about it.

Rather, close scrutiny reveals this arrangement between government and industry to be a textbook example of policy failure and rent-seeking run amok. The Jones Act is not a bargain, but a rip-off, with costs and benefits completely out of balance.

The Jones Act and National Defense

For all of the talk of the Jones Act’s critical role in national security, its contributions underwhelm. Ships offer a case in point. In times of conflict, the U.S. military’s primary sources of transport are not Jones Act vessels but government-owned ships in the Military Sealift Command and Ready Reserve Force fleets. These are further supplemented by the 60 non-Jones Act U.S.-flag commercial ships enrolled in the Maritime Security Program, a subsidy arrangement by which ships are provided $5 million per year in exchange for the government’s right to use them in time of need.

In contrast, Jones Act ships are used only sparingly. That’s understandable, as removing these vessels from domestic trade would leave a void in the country’s transportation needs not easily filled.

The law’s contributions to domestic shipbuilding are similarly meager. if not outright counterproductive. A mere two to three large, oceangoing commercial ships are delivered by U.S. shipyards per year. That’s not per shipyard, but all U.S. shipyards combined.

Given the vastly uncompetitive state of domestic shipbuilding—a predictable consequence of handing the industry a captive domestic market via the Jones Act’s U.S.-built requirement—there is a little appetite for what these shipyards produce. As Hendrickson himself points out, the domestic build provision serves to “discourage shipbuilders from innovating and otherwise pursuing cost-saving production methods since American shipbuilders do not face international competition.” We could not agree more.

What keeps U.S. shipyards active and available to meet the military’s needs is not work for the Jones Act commercial fleet but rather government orders. A 2015 Maritime Administration report found that such business accounts for 70 percent of revenue for the shipbuilding and repair industry. A 2019 American Enterprise Institute study concluded that, among U.S. shipbuilders that construct both commercial and military ships, Jones Act vessels accounted for less than 5 percent of all shipbuilding orders.

If the Jones Act makes any contributions of note at all, it is mariners. Of those needed to crew surge sealift ships during times of war, the Jones Act fleet is estimated to account for 29 percent. But here the Jones Act also acts as a double-edged sword. By increasing the cost of ships to four to five times the world price, the law’s U.S.-built requirement results in a smaller fleet with fewer mariners employed than would otherwise be the case. That’s particularly noteworthy given government calculations that there is a deficit of roughly 1,800 mariners to crew its fleet in the event of a sustained sealift operation.

Beyond its ruinous impact on the competitiveness of domestic shipbuilding, the Jones Act has had other deleterious consequences for national security. The increased cost of waterborne transport, or its outright impossibility in the case of liquefied natural gas and propane, results in reduced self-reliance for critical energy supplies. This is a sufficiently significant issue that members of the National Security Council unsuccessfully sought a long-term Jones Act waiver in 2019. The law also means fewer redundancies and less flexibility in the country’s transportation system when responding to crises, both natural and manmade. Waivers of the Jones Act can be issued, but this highly politicized process eats up precious days when time is of the essence. All of these factors merit consideration in the overall national security calculus.

To review, the Jones Act’s opaque and implicit subsidy—doled out via protectionism—results in anemic and uncompetitive shipbuilding, few ships available in time of war, and fewer mariners than would otherwise be the case without its U.S.-built requirement. And it has other consequences for national security that are not only underwhelming but plainly negative. Little wonder that Hendrickson concedes it is unclear whether U.S. maritime policy—of which the Jones Act plays a foundational role—achieves its national security goals.

The toll exacted in exchange for the Jones Act’s limited benefits, meanwhile, is considerable. According to a 2019 OECD study, the law’s repeal would increase domestic value added by $19-$64 billion. Incredibly, that estimate may actually understate matters. Not included in this estimate are related costs such as environmental degradation, increased congestion and highway maintenance, and retaliation from U.S. trade partners during free-trade agreement negotiations due to U.S. unwillingness to liberalize the Jones Act.

Against such critiques, Hendrickson posits that substantial cost savings are illusory due to immigration and other U.S. laws. But how big a barrier such laws would pose is unclear. It’s worth considering, for example, that cruise ships with foreign crews are able to visit multiple U.S. ports so long as a foreign port is also included on the voyage. The granting of Jones Act waivers, meanwhile, has enabled foreign ships to transport cargo between U.S. ports in the past despite U.S. immigration laws.

Would Chinese-flagged and crewed barges be able to engage in purely domestic trade on the Mississippi River absent the Jones Act? Almost certainly not. But it seems perfectly plausible that foreign ships already sailing between U.S. ports as part of international voyages—a frequent occurrence—could engage in cabotage movements without hiring U.S. crews. Take, for example, APL’s Eagle Express X route that stops in Los Angeles, Honolulu, and Dutch Harbor as well as Asian ports. Without the Jones Act, it’s reasonable to believe that ships operating on this route could transport goods from Los Angeles to Honolulu before continuing on to foreign destinations.

But if the Jones Act fails to meet U.S. national security benefits while imposing substantial costs, how to explain its continued survival? Hendrickson avers that the law’s longevity reflects its utility. We believe, however, that the answer lies in the application of public choice theory. Simply put, the law’s costs are both opaque and dispersed across the vast expanse of the U.S. economy while its benefits are highly concentrated. The law’s de facto subsidy is also vastly oversupplied, given that the vast majority of vessels under its protection are smaller craft such as tugboats and barges with trivial value to the country’s sealift capability. This has spawned a lobby aggressively dedicated to the Jones Act’s preservation. Washington, D.C. is home to numerous industry groups and labor organizations that regard the law’s maintenance as critical, but not a single one that views its repeal as a top priority.

It’s instructive in this regard that all four senators from Alaska and Hawaii are strong Jones Act supporters despite their states being disproportionately burdened by the law. This seeming oddity is explained by these states also being disproportionately home to maritime interest groups that support the law. In contrast, Jones Act critics Sen. Mike Lee and the late Sen. John McCain both hailed from land-locked states home to few maritime interest groups.

Disagreements, but also Common Ground

For all of our differences with Hendrickson, however, there is substantial common ground. We are in shared agreement that the Jones Act is suboptimal policy, that its ability to achieve its goals is unclear, and that its U.S.-built requirement is particularly ripe for removal. Where our differences lie is mostly in the scale of gains to be realized from the law’s reform or repeal. As such, there is no reason to maintain the failed status quo. The Jones Act should be repealed and replaced with targeted, transparent, and explicit subsidies to meet the country’s sealift needs. Both the country’s economy and national security would be rewarded—richly so, in our opinion—from such policy change.

The European Commission this week published its proposed Artificial Intelligence Regulation, setting out new rules for  “artificial intelligence systems” used within the European Union. The regulation—the commission’s attempt to limit pernicious uses of AI without discouraging its adoption in beneficial cases—casts a wide net in defining AI to include essentially any software developed using machine learning. As a result, a host of software may fall under the regulation’s purview.

The regulation categorizes AIs by the kind and extent of risk they may pose to health, safety, and fundamental rights, with the overarching goal to:

  • Prohibit “unacceptable risk” AIs outright;
  • Place strict restrictions on “high-risk” AIs;
  • Place minor restrictions on “limited-risk” AIs;
  • Create voluntary “codes of conduct” for “minimal-risk” AIs;
  • Establish a regulatory sandbox regime for AI systems; 
  • Set up a European Artificial Intelligence Board to oversee regulatory implementation; and
  • Set fines for noncompliance at up to 30 million euros, or 6% of worldwide turnover, whichever is greater.

AIs That Are Prohibited Outright

The regulation prohibits AI that are used to exploit people’s vulnerabilities or that use subliminal techniques to distort behavior in a way likely to cause physical or psychological harm. Also prohibited are AIs used by public authorities to give people a trustworthiness score, if that score would then be used to treat a person unfavorably in a separate context or in a way that is disproportionate. The regulation also bans the use of “real-time” remote biometric identification (such as facial-recognition technology) in public spaces by law enforcement, with exceptions for specific and limited uses, such as searching for a missing child.

The first prohibition raises some interesting questions. The regulation says that an “exploited vulnerability” must relate to age or disability. In its announcement, the commission says this is targeted toward AIs such as toys that might induce a child to engage in dangerous behavior.

The ban on AIs using “subliminal techniques” is more opaque. The regulation doesn’t give a clear definition of what constitutes a “subliminal technique,” other than that it must be something “beyond a person’s consciousness.” Would this include TikTok’s algorithm, which imperceptibly adjusts the videos shown to the user to keep them engaged on the platform? The notion that this might cause harm is not fanciful, but it’s unclear whether the provision would be interpreted to be that expansive, whatever the commission’s intent might be. There is at least a risk that this provision would discourage innovative new uses of AI, causing businesses to err on the side of caution to avoid the huge penalties that breaking the rules would incur.

The prohibition on AIs used for social scoring is limited to public authorities. That leaves space for socially useful expansions of scoring systems, such as consumers using their Uber rating to show a record of previous good behavior to a potential Airbnb host. The ban is clearly oriented toward more expansive and dystopian uses of social credit systems, which some fear may be used to arbitrarily lock people out of society.

The ban on remote biometric identification AI is similarly limited to its use by law enforcement in public spaces. The limited exceptions (preventing an imminent terrorist attack, searching for a missing child, etc.) would be subject to judicial authorization except in cases of emergency, where ex-post authorization can be sought. The prohibition leaves room for private enterprises to innovate, but all non-prohibited uses of remote biometric identification would be subject to the requirements for high-risk AIs.

Restrictions on ‘High-Risk’ AIs

Some AI uses are not prohibited outright, but instead categorized as “high-risk” and subject to strict rules before they can be used or put to market. AI systems considered to be high-risk include those used for:

  • Safety components for certain types of products;
  • Remote biometric identification, except those uses that are banned outright;
  • Safety components in the management and operation of critical infrastructure, such as gas and electricity networks;
  • Dispatching emergency services;
  • Educational admissions and assessments;
  • Employment, workers management, and access to self-employment;
  • Evaluating credit-worthiness;
  • Assessing eligibility to receive social security benefits or services;
  • A range of law-enforcement purposes (e.g., detecting deepfakes or predicting the occurrence of criminal offenses);
  • Migration, asylum, and border-control management; and
  • Administration of justice.

While the commission considers these AIs to be those most likely to cause individual or social harm, it may not have appropriately balanced those perceived harms with the onerous regulatory burdens placed upon their use.

As Mikołaj Barczentewicz at the Surrey Law and Technology Hub has pointed out, the regulation would discourage even simple uses of logic or machine-learning systems in such settings as education or workplaces. This would mean that any workplace that develops machine-learning tools to enhance productivity—through, for example, monitoring or task allocation—would be subject to stringent requirements. These include requirements to have risk-management systems in place, to use only “high quality” datasets, and to allow human oversight of the AI, as well as other requirements around transparency and documentation.

The obligations would apply to any companies or government agencies that develop an AI (or for whom an AI is developed) with a view toward marketing it or putting it into service under their own name. The obligations could even attach to distributors, importers, users, or other third parties if they make a “substantial modification” to the high-risk AI, market it under their own name, or change its intended purpose—all of which could potentially discourage adaptive use.

Without going into unnecessary detail regarding each requirement, some are likely to have competition- and innovation-distorting effects that are worth discussing.

The rule that data used to train, validate, or test a high-risk AI has to be high quality (“relevant, representative, and free of errors”) assumes that perfect, error-free data sets exist, or can easily be detected. Not only is this not necessarily the case, but the requirement could impose an impossible standard on some activities. Given this high bar, high-risk AIs that use data of merely “good” quality could be precluded. It also would cut against the frontiers of research in artificial intelligence, where sometimes only small and lower-quality datasets are available to train AI. A predictable effect is that the rule would benefit large companies that are more likely to have access to large, high-quality datasets, while rules like the GDPR make it difficult for smaller companies to acquire that data.

High-risk AIs also must submit technical and user documentation that detail voluminous information about the AI system, including descriptions of the AI’s elements, its development, monitoring, functioning, and control. These must demonstrate the AI complies with all the requirements for high-risk AIs, in addition to documenting its characteristics, capabilities, and limitations. The requirement to produce vast amounts of information represents another potentially significant compliance cost that will be particularly felt by startups and other small and medium-sized enterprises (SMEs). This could further discourage AI adoption within the EU, as European enterprises already consider liability for potential damages and regulatory obstacles as impediments to AI adoption.

The requirement that the AI be subject to human oversight entails that the AI can be overseen and understood by a human being and that the AI can never override a human user. While it may be important that an AI used in, say, the criminal justice system must be understood by humans, this requirement could inhibit sophisticated uses beyond the reasoning of a human brain, such as how to safely operate a national electricity grid. Providers of high-risk AI systems also must establish a post-market monitoring system to evaluate continuous compliance with the regulation, representing another potentially significant ongoing cost for the use of high-risk AIs.

The regulation also places certain restrictions on “limited-risk” AIs, notably deepfakes and chatbots. Such AIs must be labeled to make a user aware they are looking at or listening to manipulated images, video, or audio. AIs must also be labeled to ensure humans are aware when they are speaking to an artificial intelligence, where this is not already obvious.

Taken together, these regulatory burdens may be greater than the benefits they generate, and could chill innovation and competition. The impact on smaller EU firms, which already are likely to struggle to compete with the American and Chinese tech giants, could prompt them to move outside the European jurisdiction altogether.

Regulatory Support for Innovation and Competition

To reduce the costs of these rules, the regulation also includes a new regulatory “sandbox” scheme. The sandboxes would putatively offer environments to develop and test AIs under the supervision of competent authorities, although exposure to liability would remain for harms caused to third parties and AIs would still have to comply with the requirements of the regulation.

SMEs and startups would have priority access to the regulatory sandboxes, although they must meet the same eligibility conditions as larger competitors. There would also be awareness-raising activities to help SMEs and startups to understand the rules; a “support channel” for SMEs within the national regulator; and adjusted fees for SMEs and startups to establish that their AIs conform with requirements.

These measures are intended to prevent the sort of chilling effect that was seen as a result of the GDPR, which led to a 17% increase in market concentration after it was introduced. But it’s unclear that they would accomplish this goal. (Notably, the GDPR contained similar provisions offering awareness-raising activities and derogations from specific duties for SMEs.) Firms operating in the “sandboxes” would still be exposed to liability, and the only significant difference to market conditions appears to be the “supervision” of competent authorities. It remains to be seen how this arrangement would sufficiently promote innovation as to overcome the burdens placed on AI by the significant new regulatory and compliance costs.

Governance and Enforcement

Each EU member state would be expected to appoint a “national competent authority” to implement and apply the regulation, as well as bodies to ensure high-risk systems conform with rules that require third party-assessments, such as remote biometric identification AIs.

The regulation establishes the European Artificial Intelligence Board to act as the union-wide regulatory body for AI. The board would be responsible for sharing best practices with member states, harmonizing practices among them, and issuing opinions on matters related to implementation.

As mentioned earlier, maximum penalties for marketing or using a prohibited AI (as well as for failing to use high-quality datasets) would be a steep 30 million euros or 6% of worldwide turnover, whichever is greater. Breaking other requirements for high-risk AIs carries maximum penalties of 20 million euros or 4% of worldwide turnover, while maximums of 10 million euros or 2% of worldwide turnover would be imposed for supplying incorrect, incomplete, or misleading information to the nationally appointed regulator.

Is the Commission Overplaying its Hand?

While the regulation only restricts AIs seen as creating risk to society, it defines that risk so broadly and vaguely that benign applications of AI may be included in its scope, intentionally or unintentionally. Moreover, the commission also proposes voluntary codes of conduct that would apply similar requirements to “minimal” risk AIs. These codes—optional for now—may signal the commission’s intent eventually to further broaden the regulation’s scope and application.

The commission clearly hopes it can rely on the “Brussels Effect” to steer the rest of the world toward tighter AI regulation, but it is also possible that other countries will seek to attract AI startups and investment by introducing less stringent regimes.

For the EU itself, more regulation must be balanced against the need to foster AI innovation. Without European tech giants of its own, the commission must be careful not to stifle the SMEs that form the backbone of the European market, particularly if global competitors are able to innovate more freely in the American or Chinese markets. If the commission has got the balance wrong, it may find that AI development simply goes elsewhere, with the EU fighting the battle for the future of AI with one hand tied behind its back.

In his recent concurrence in Biden v. Knight, Justice Clarence Thomas sketched a roadmap for how to regulate social-media platforms. The animating factor for Thomas, much like for other conservatives, appears to be a sense that Big Tech has exhibited anti-conservative bias in its moderation decisions, most prominently by excluding former President Donald Trump from Twitter and Facebook. The opinion has predictably been greeted warmly by conservative champions of social-media regulation, who believe it shows how states and the federal government can proceed on this front.

While much of the commentary to date has been on whether Thomas got the legal analysis right, or on the uncomfortable fit of common-carriage law to social media, the deeper question of the First Amendment’s protection of private ordering has received relatively short shrift.

Conservatives’ main argument has been that Big Tech needs to be reined in because it is restricting the speech of private individuals. While conservatives traditionally have defended the state-action doctrine and the right to editorial discretion, they now readily find exceptions to both in order to justify regulating social-media companies. But those two First Amendment doctrines have long enshrined an important general principle: private actors can set the rules for speech on their own property. I intend to analyze this principle from a law & economics perspective and show how it benefits society.

Who Balances the Benefits and Costs of Speech?

Like virtually any other human activity, there are benefits and costs to speech and it is ultimately subjective individual preference that determines the value that speech has. The First Amendment protects speech from governmental regulation, with only limited exceptions, but that does not mean all speech is acceptable or must be tolerated. Under the state-action doctrine, the First Amendment only prevents the government from restricting speech.

Some purported defenders of the principle of free speech no longer appear to see a distinction between restraints on speech imposed by the government and those imposed by private actors. But this is surely mistaken, as no one truly believes all speech protected by the First Amendment should be without consequence. In truth, most regulation of speech has always come by informal means—social mores enforced by dirty looks or responsive speech from others.

Moreover, property rights have long played a crucial role in determining speech rules within any given space. If a man were to come into my house and start calling my wife racial epithets, I would not only ask that person to leave but would exercise my right as a property owner to eject the trespasser—if necessary, calling the police to assist me. I similarly could not expect to go to a restaurant and yell at the top of my lungs about political issues and expect them—even as “common carriers” or places of public accommodation—to allow me to continue.

As Thomas Sowell wrote in Knowledge and Decisions:

The fact that different costs and benefits must be balanced does not in itself imply who must balance them―or even that there must be a single balance for all, or a unitary viewpoint (one “we”) from which the issue is categorically resolved.

Knowledge and Decisions, p. 240

When it comes to speech, the balance that must be struck is between one individual’s desire for an audience and that prospective audience’s willingness to play the role. Asking government to use regulation to make categorical decisions for all of society is substituting centralized evaluation of the costs and benefits of access to communications for the individual decisions of many actors. Rather than incremental decisions regarding how and under what terms individuals may relate to one another—which can evolve over time in response to changes in what individuals find acceptable—government by its nature can only hand down categorical guidelines: “you must allow x, y, and z speech.”

This is particularly relevant in the sphere of social media. Social-media companies are multi-sided platforms. They are profit-seeking, to be sure, but the way they generate profits is by acting as intermediaries between users and advertisers. If they fail to serve their users well, those users could abandon the platform. Without users, advertisers would have no interest in buying ads. And without advertisers, there is no profit to be made. Social-media companies thus need to maximize the value of their platform by setting rules that keep users engaged.

In the cases of Facebook, Twitter, and YouTube, the platforms have set content-moderation standards that restrict many kinds of speech that are generally viewed negatively by users, even if the First Amendment would foreclose the government from regulating those same types of content. This is a good thing. Social-media companies balance the speech interests of different kinds of users to maximize the value of the platform and, in turn, to maximize benefits to all.

Herein lies the fundamental difference between private action and state action: one is voluntary, and the other based on coercion. If Facebook or Twitter suspends a user for violating community rules, it represents termination of a previously voluntary association. If the government kicks someone out of a public forum for expressing legal speech, that is coercion. The state-action doctrine recognizes this fundamental difference and creates a bright-line rule that courts may police when it comes to speech claims. As Sowell put it:

The courts’ role as watchdogs patrolling the boundaries of governmental power is essential in order that others may be secure and free on the other side of those boundaries. But what makes watchdogs valuable is precisely their ability to distinguish those people who are to be kept at bay and those who are to be left alone. A watchdog who could not make that distinction would not be a watchdog at all, but simply a general menace.

Knowledge and Decisions, p. 244

Markets Produce the Best Moderation Policies

The First Amendment also protects the right of editorial discretion, which means publishers, platforms, and other speakers are free from carrying or transmitting government-compelled speech. Even a newspaper with near-monopoly power cannot be compelled by a right-of-reply statute to carry responses by political candidates to editorials it has published. In other words, not only is private regulation of speech not state action, but in many cases, private regulation is protected by the First Amendment.

There is no reason to think that social-media companies today are in a different position than was the newspaper in Miami Herald v. Tornillo. These companies must determine what, how, and where content is presented within their platform. While this right of editorial discretion protects the moderation decisions of social-media companies, its benefits accrue to society at-large.

Social-media companies’ abilities to differentiate themselves based on functionality and moderation policies are important aspects of competition among them. How each platform is used may differ depending on those factors. In fact, many consumers use multiple social-media platforms throughout the day for different purposes. Market competition, not government power, has enabled internet users (including conservatives!) to have more avenues than ever to get their message out.

Many conservatives remain unpersuaded by the power of markets in this case. They see multiple platforms all engaging in very similar content-moderation policies when it comes to certain touchpoint issues, and thus allege widespread anti-conservative bias and collusion. Neither of those claims have much factual support, but more importantly, the similarity of content-moderation standards may simply be common responses to similar demand structures—not some nefarious and conspiratorial plot.

In other words, if social-media users demand less of the kinds of content commonly considered to be hate speech, or less misinformation on certain important issues, platforms will do their best to weed those things out. Platforms won’t always get these determinations right, but it is by no means clear that forcing them to carry all “legal” speech—which would include not just misinformation and hate speech, but pornographic material, as well—would better serve social-media users. There are always alternative means to debate contestable issues of the day, even if it may be more costly to access them.

Indeed, that content-moderation policies make it more difficult to communicate some messages is precisely the point of having them. There is a subset of protected speech to which many users do not wish to be subject. Moreover, there is no inherent right to have an audience on a social-media platform.

Conclusion

Much of the First Amendment’s economic value lies in how it defines roles in the market for speech. As a general matter, it is not the government’s place to determine what speech should be allowed in private spaces. Instead, the private ordering of speech emerges through the application of social mores and property rights. This benefits society, as it allows individuals to create voluntary relationships built on marginal decisions about what speech is acceptable when and where, rather than centralized decisions made by a governing few and that are difficult to change over time.

Politico has released a cache of confidential Federal Trade Commission (FTC) documents in connection with a series of articles on the commission’s antitrust probe into Google Search a decade ago. The headline of the first piece in the series argues the FTC “fumbled the future” by failing to follow through on staff recommendations to pursue antitrust intervention against the company. 

But while the leaked documents shed interesting light on the inner workings of the FTC, they do very little to substantiate the case that the FTC dropped the ball when the commissioners voted unanimously not to bring an action against Google.

Drawn primarily from memos by the FTC’s lawyers, the Politico report purports to uncover key revelations that undermine the FTC’s decision not to sue Google. None of the revelations, however, provide evidence that Google’s behavior actually harmed consumers.

The report’s overriding claim—and the one most consistently forwarded by antitrust activists on Twitter—is that FTC commissioners wrongly sided with the agency’s economists (who cautioned against intervention) rather than its lawyers (who tenuously recommended very limited intervention). 

Indeed, the overarching narrative is that the lawyers knew what was coming and the economists took wildly inaccurate positions that turned out to be completely off the mark:

But the FTC’s economists successfully argued against suing the company, and the agency’s staff experts made a series of predictions that would fail to match where the online world was headed:

— They saw only “limited potential for growth” in ads that track users across the web — now the backbone of Google parent company Alphabet’s $182.5 billion in annual revenue.

— They expected consumers to continue relying mainly on computers to search for information. Today, about 62 percent of those queries take place on mobile phones and tablets, nearly all of which use Google’s search engine as the default.

— They thought rivals like Microsoft, Mozilla or Amazon would offer viable competition to Google in the market for the software that runs smartphones. Instead, nearly all U.S. smartphones run on Google’s Android and Apple’s iOS.

— They underestimated Google’s market share, a heft that gave it power over advertisers as well as companies like Yelp and Tripadvisor that rely on search results for traffic.

The report thus asserts that:

The agency ultimately voted against taking action, saying changes Google made to its search algorithm gave consumers better results and therefore didn’t unfairly harm competitors.

That conclusion underplays what the FTC’s staff found during the probe. In 312 pages of documents, the vast majority never publicly released, staffers outlined evidence that Google had taken numerous steps to ensure it would continue to dominate the market — including emerging arenas such as mobile search and targeted advertising. [EMPHASIS ADDED]

What really emerges from the leaked memos, however, is analysis by both the FTC’s lawyers and economists infused with a healthy dose of humility. There were strong political incentives to bring a case. As one of us noted upon the FTC’s closing of the investigation: “It’s hard to imagine an agency under more pressure, from more quarters (including the Hill), to bring a case around search.” Yet FTC staff and commissioners resisted that pressure, because prediction is hard. 

Ironically, the very prediction errors that the agency’s staff cautioned against are now being held against them. Yet the claims that these errors (especially the economists’) systematically cut in one direction (i.e., against enforcement) and that all of their predictions were wrong are both wide of the mark. 

Decisions Under Uncertainty

In seeking to make an example out of the FTC economists’ inaccurate predictions, critics ignore that antitrust investigations in dynamic markets always involve a tremendous amount of uncertainty; false predictions are the norm. Accordingly, the key challenge for policymakers is not so much to predict correctly, but to minimize the impact of incorrect predictions.

Seen in this light, the FTC economists’ memo is far from the laissez-faire manifesto that critics make it out to be. Instead, it shows agency officials wrestling with uncertain market outcomes, and choosing a course of action under the assumption the predictions they make might indeed be wrong. 

Consider the following passage from FTC economist Ken Heyer’s memo:

The great American philosopher Yogi Berra once famously remarked “Predicting is difficult, especially about the future.” How right he was. And yet predicting, and making decisions based on those predictions, is what we are charged with doing. Ignoring the potential problem is not an option. So I will be reasonably clear about my own tentative conclusions and recommendation, recognizing that reasonable people, perhaps applying a somewhat different standard, may disagree. My recommendation derives from my read of the available evidence, combined with the standard I personally find appropriate to apply to Commission intervention. [EMPHASIS ADDED]

In other words, contrary to what many critics have claimed, it simply is not the case that the FTC’s economists based their recommendations on bullish predictions about the future that ultimately failed to transpire. Instead, they merely recognized that, in a dynamic and unpredictable environment, antitrust intervention requires both a clear-cut theory of anticompetitive harm and a reasonable probability that remedies can improve consumer welfare. According to the economists, those conditions were absent with respect to Google Search.

Perhaps more importantly, it is worth asking why the economists’ erroneous predictions matter at all. Do critics believe that developments the economists missed warrant a different normative stance today?

In that respect, it is worth noting that the economists’ skepticism appeared to have rested first and foremost on the speculative nature of the harms alleged and the difficulty associated with designing appropriate remedies. And yet, if anything, these two concerns appear even more salient today. 

Indeed, the remedies imposed against Google in the EU have not delivered the outcomes that enforcers expected (here and here). This could either be because the remedies were insufficient or because Google’s market position was not due to anticompetitive conduct. Similarly, there is still no convincing economic theory or empirical research to support the notion that exclusive pre-installation and self-preferencing by incumbents harm consumers, and a great deal of reason to think they benefit them (see, e.g., our discussions of the issue here and here). 

Against this backdrop, criticism of the FTC economists appears to be driven more by a prior assumption that intervention is necessary—and that it was and is disingenuous to think otherwise—than evidence that erroneous predictions materially affected the outcome of the proceedings.

To take one example, the fact that ad tracking grew faster than the FTC economists believed it would is no less consistent with vigorous competition—and Google providing a superior product—than with anticompetitive conduct on Google’s part. The same applies to the growth of mobile operating systems. Ditto the fact that no rival has managed to dislodge Google in its most important markets. 

In short, not only were the economist memos informed by the very prediction difficulties that critics are now pointing to, but critics have not shown that any of the staff’s (inevitably) faulty predictions warranted a different normative outcome.

Putting Erroneous Predictions in Context

So what were these faulty predictions, and how important were they? Politico asserts that “the FTC’s economists successfully argued against suing the company, and the agency’s staff experts made a series of predictions that would fail to match where the online world was headed,” tying this to the FTC’s failure to intervene against Google over “tactics that European regulators and the U.S. Justice Department would later label antitrust violations.” The clear message is that the current actions are presumptively valid, and that the FTC’s economists thwarted earlier intervention based on faulty analysis.

But it is far from clear that these faulty predictions would have justified taking a tougher stance against Google. One key question for antitrust authorities is whether they can be reasonably certain that more efficient competitors will be unable to dislodge an incumbent. This assessment is necessarily forward-looking. Framed this way, greater market uncertainty (for instance, because policymakers are dealing with dynamic markets) usually cuts against antitrust intervention.

This does not entirely absolve the FTC economists who made the faulty predictions. But it does suggest the right question is not whether the economists made mistakes, but whether virtually everyone did so. The latter would be evidence of uncertainty, and thus weigh against antitrust intervention.

In that respect, it is worth noting that the staff who recommended that the FTC intervene also misjudged the future of digital markets.For example, while Politico surmises that the FTC “underestimated Google’s market share, a heft that gave it power over advertisers as well as companies like Yelp and Tripadvisor that rely on search results for traffic,” there is a case to be made that the FTC overestimated this power. If anything, Google’s continued growth has opened new niches in the online advertising space.

Pinterest provides a fitting example; despite relying heavily on Google for traffic, its ad-funded service has witnessed significant growth. The same is true of other vertical search engines like Airbnb, Booking.com, and Zillow. While we cannot know the counterfactual, the vertical search industry has certainly not been decimated by Google’s “monopoly”; quite the opposite. Unsurprisingly, this has coincided with a significant decrease in the cost of online advertising, and the growth of online advertising relative to other forms.

Politico asserts not only that the economists’ market share and market power calculations were wrong, but that the lawyers knew better:

The economists, relying on data from the market analytics firm Comscore, found that Google had only limited impact. They estimated that between 10 and 20 percent of traffic to those types of sites generally came from the search engine.

FTC attorneys, though, used numbers provided by Yelp and found that 92 percent of users visited local review sites from Google. For shopping sites like eBay and TheFind, the referral rate from Google was between 67 and 73 percent.

This compares apples and oranges, or maybe oranges and grapefruit. The economists’ data, from Comscore, applied to vertical search overall. They explicitly noted that shares for particular sites could be much higher or lower: for comparison shopping, for example, “ranging from 56% to less than 10%.” This, of course, highlights a problem with the data provided by Yelp, et al.: it concerns only the websites of companies complaining about Google, not the overall flow of traffic for vertical search.

But the more important point is that none of the data discussed in the memos represents the overall flow of traffic for vertical search. Take Yelp, for example. According to the lawyers’ memo, 92 percent of Yelp searches were referred from Google. Only, that’s not true. We know it’s not true because, as Yelp CEO Jerry Stoppelman pointed out around this time in Yelp’s 2012 Q2 earnings call: 

When you consider that 40% of our searches come from mobile apps, there is quite a bit of un-monetized mobile traffic that we expect to unlock in the near future.

The numbers being analyzed by the FTC staff were apparently limited to referrals to Yelp’s website from browsers. But is there any reason to think that is the relevant market, or the relevant measure of customer access? Certainly there is nothing in the staff memos to suggest they considered the full scope of the market very carefully here. Indeed, the footnote in the lawyers’ memo presenting the traffic data is offered in support of this claim:

Vertical websites, such as comparison shopping and local websites, are heavily dependent on Google’s web search results to reach users. Thus, Google is in the unique position of being able to “make or break any web-based business.”

It’s plausible that vertical search traffic is “heavily dependent” on Google Search, but the numbers offered in support of that simply ignore the (then) 40 percent of traffic that Yelp acquired through its own mobile app, with no Google involvement at all. In any case, it is also notable that, while there are still somewhat fewer app users than web users (although the number has consistently increased), Yelp’s app users view significantly more pages than its website users do — 10 times as many in 2015, for example.

Also noteworthy is that, for whatever speculative harm Google might be able to visit on the company, at the time of the FTC’s analysis Yelp’s local ad revenue was consistently increasing — by 89% in Q3 2012. And that was without any ad revenue coming from its app (display ads arrived on Yelp’s mobile app in Q1 2013, a few months after the staff memos were written and just after the FTC closed its Google Search investigation). 

In short, the search-engine industry is extremely dynamic and unpredictable. Contrary to what many have surmised from the FTC staff memo leaks, this cuts against antitrust intervention, not in favor of it.

The FTC Lawyers’ Weak Case for Prosecuting Google

At the same time, although not discussed by Politico, the lawyers’ memo also contains errors, suggesting that arguments for intervention were also (inevitably) subject to erroneous prediction.

Among other things, the FTC attorneys’ memo argued the large upfront investments were required to develop cutting-edge algorithms, and that these effectively shielded Google from competition. The memo cites the following as a barrier to entry:

A search engine requires algorithmic technology that enables it to search the Internet, retrieve and organize information, index billions of regularly changing web pages, and return relevant results instantaneously that satisfy the consumer’s inquiry. Developing such algorithms requires highly specialized personnel with high levels of training and knowledge in engineering, economics, mathematics, sciences, and statistical analysis.

If there are barriers to entry in the search-engine industry, algorithms do not seem to be the source. While their market shares may be smaller than Google’s, rival search engines like DuckDuckGo and Bing have been able to enter and gain traction; it is difficult to say that algorithmic technology has proven a barrier to entry. It may be hard to do well, but it certainly has not proved an impediment to new firms entering and developing workable and successful products. Indeed, some extremely successful companies have entered into similar advertising markets on the backs of complex algorithms, notably Instagram, Snapchat, and TikTok. All of these compete with Google for advertising dollars.

The FTC’s legal staff also failed to see that Google would face serious competition in the rapidly growing voice assistant market. In other words, even its search-engine “moat” is far less impregnable than it might at first appear.

Moreover, as Ben Thompson argues in his Stratechery newsletter: 

The Staff memo is completely wrong too, at least in terms of the potential for their proposed remedies to lead to any real change in today’s market. This gets back to why the fundamental premise of the Politico article, along with much of the antitrust chatter in Washington, misses the point: Google is dominant because consumers like it.

This difficulty was deftly highlighted by Heyer’s memo:

If the perceived problems here can be solved only through a draconian remedy of this sort, or perhaps through a remedy that eliminates Google’s legitimately obtained market power (and thus its ability to “do evil”), I believe the remedy would be disproportionate to the violation and that its costs would likely exceed its benefits. Conversely, if a remedy well short of this seems likely to prove ineffective, a remedy would be undesirable for that reason. In brief, I do not see a feasible remedy for the vertical conduct that would be both appropriate and effective, and which would not also be very costly to implement and to police. [EMPHASIS ADDED]

Of course, we now know that this turned out to be a huge issue with the EU’s competition cases against Google. The remedies in both the EU’s Google Shopping and Android decisions were severely criticized by rival firms and consumer-defense organizations (here and here), but were ultimately upheld, in part because even the European Commission likely saw more forceful alternatives as disproportionate.

And in the few places where the legal staff concluded that Google’s conduct may have caused harm, there is good reason to think that their analysis was flawed.

Google’s ‘revenue-sharing’ agreements

It should be noted that neither the lawyers nor the economists at the FTC were particularly bullish on bringing suit against Google. In most areas of the investigation, neither recommended that the commission pursue a case. But one of the most interesting revelations from the recent leaks is that FTC lawyers did advise the commission’s leadership to sue Google over revenue-sharing agreements that called for it to pay Apple and other carriers and manufacturers to pre-install its search bar on mobile devices:

FTC staff urged the agency’s five commissioners to sue Google for signing exclusive contracts with Apple and the major wireless carriers that made sure the company’s search engine came pre-installed on smartphones.

The lawyers’ stance is surprising, and, despite actions subsequently brought by the EU and DOJ on similar claims, a difficult one to countenance. 

To a first approximation, this behavior is precisely what antitrust law seeks to promote: we want companies to compete aggressively to attract consumers. This conclusion is in no way altered when competition is “for the market” (in this case, firms bidding for exclusive placement of their search engines) rather than “in the market” (i.e., equally placed search engines competing for eyeballs).

Competition for exclusive placement has several important benefits. For a start, revenue-sharing agreements effectively subsidize consumers’ mobile device purchases. As Brian Albrecht aptly puts it:

This payment from Google means that Apple can lower its price to better compete for consumers. This is standard; some of the payment from Google to Apple will be passed through to consumers in the form of lower prices.

This finding is not new. For instance, Ronald Coase famously argued that the Federal Communications Commission (FCC) was wrong to ban the broadcasting industry’s equivalent of revenue-sharing agreements, so-called payola:

[I]f the playing of a record by a radio station increases the sales of that record, it is both natural and desirable that there should be a charge for this. If this is not done by the station and payola is not allowed, it is inevitable that more resources will be employed in the production and distribution of records, without any gain to consumers, with the result that the real income of the community will tend to decline. In addition, the prohibition of payola may result in worse record programs, will tend to lessen competition, and will involve additional expenditures for regulation. The gain which the ban is thought to bring is to make the purchasing decisions of record buyers more efficient by eliminating “deception.” It seems improbable to me that this problematical gain will offset the undoubted losses which flow from the ban on Payola.

Applying this logic to Google Search, it is clear that a ban on revenue-sharing agreements would merely lead both Google and its competitors to attract consumers via alternative means. For Google, this might involve “complete” vertical integration into the mobile phone market, rather than the open-licensing model that underpins the Android ecosystem. Valuable specialization may be lost in the process.

Moreover, from Apple’s standpoint, Google’s revenue-sharing agreements are profitable only to the extent that consumers actually like Google’s products. If it turns out they don’t, Google’s payments to Apple may be outweighed by lower iPhone sales. It is thus unlikely that these agreements significantly undermined users’ experience. To the contrary, Apple’s testimony before the European Commission suggests that “exclusive” placement of Google’s search engine was mostly driven by consumer preferences (as the FTC economists’ memo points out):

Apple would not offer simultaneous installation of competing search or mapping applications. Apple’s focus is offering its customers the best products out of the box while allowing them to make choices after purchase. In many countries, Google offers the best product or service … Apple believes that offering additional search boxes on its web browsing software would confuse users and detract from Safari’s aesthetic. Too many choices lead to consumer confusion and greatly affect the ‘out of the box’ experience of Apple products.

Similarly, Kevin Murphy and Benjamin Klein have shown that exclusive contracts intensify competition for distribution. In other words, absent theories of platform envelopment that are arguably inapplicable here, competition for exclusive placement would lead competing search engines to up their bids, ultimately lowering the price of mobile devices for consumers.

Indeed, this revenue-sharing model was likely essential to spur the development of Android in the first place. Without this prominent placement of Google Search on Android devices (notably thanks to revenue-sharing agreements with original equipment manufacturers), Google would likely have been unable to monetize the investment it made in the open source—and thus freely distributed—Android operating system. 

In short, Politico and the FTC legal staff do little to show that Google’s revenue-sharing payments excluded rivals that were, in fact, as efficient. In other words, Bing and Yahoo’s failure to gain traction may simply be the result of inferior products and cost structures. Critics thus fail to show that Google’s behavior harmed consumers, which is the touchstone of antitrust enforcement.

Self-preferencing

Another finding critics claim as important is that FTC leadership declined to bring suit against Google for preferencing its own vertical search services (this information had already been partially leaked by the Wall Street Journal in 2015). Politico’s framing implies this was a mistake:

When Google adopted one algorithm change in 2011, rival sites saw significant drops in traffic. Amazon told the FTC that it saw a 35 percent drop in traffic from the comparison-shopping sites that used to send it customers

The focus on this claim is somewhat surprising. Even the leaked FTC legal staff memo found this theory of harm had little chance of standing up in court:

Staff has investigated whether Google has unlawfully preferenced its own content over that of rivals, while simultaneously demoting rival websites…. 

…Although it is a close call, we do not recommend that the Commission proceed on this cause of action because the case law is not favorable to our theory, which is premised on anticompetitive product design, and in any event, Google’s efficiency justifications are strong. Most importantly, Google can legitimately claim that at least part of the conduct at issue improves its product and benefits users. [EMPHASIS ADDED]

More importantly, as one of us has argued elsewhere, the underlying problem lies not with Google, but with a standard asset-specificity trap:

A content provider that makes itself dependent upon another company for distribution (or vice versa, of course) takes a significant risk. Although it may benefit from greater access to users, it places itself at the mercy of the other — or at least faces great difficulty (and great cost) adapting to unanticipated, crucial changes in distribution over which it has no control…. 

…It was entirely predictable, and should have been expected, that Google’s algorithm would evolve. It was also entirely predictable that it would evolve in ways that could diminish or even tank Foundem’s traffic. As one online marketing/SEO expert puts it: On average, Google makes about 500 algorithm changes per year. 500!….

…In the absence of an explicit agreement, should Google be required to make decisions that protect a dependent company’s “asset-specific” investments, thus encouraging others to take the same, excessive risk? 

Even if consumers happily visited rival websites when they were higher-ranked and traffic subsequently plummeted when Google updated its algorithm, that drop in traffic does not amount to evidence of misconduct. To hold otherwise would be to grant these rivals a virtual entitlement to the state of affairs that exists at any given point in time. 

Indeed, there is good reason to believe Google’s decision to favor its own content over that of other sites is procompetitive. Beyond determining and ensuring relevance, Google surely has the prerogative to compete vigorously and decide how to design its products to keep up with a changing market. In this case, that means designing, developing, and offering its own content in ways that partially displace the original “ten blue links” design of its search results page and instead offer its own answers to users’ queries.

Competitor Harm Is Not an Indicator of the Need for Intervention

Some of the other information revealed by the leak is even more tangential, such as that the FTC ignored complaints from Google’s rivals:

Amazon and Facebook privately complained to the FTC about Google’s conduct, saying their business suffered because of the company’s search bias, scraping of content from rival sites and restrictions on advertisers’ use of competing search engines. 

Amazon said it was so concerned about the prospect of Google monopolizing the search advertising business that it willingly sacrificed revenue by making ad deals aimed at keeping Microsoft’s Bing and Yahoo’s search engine afloat.

But complaints from rivals are at least as likely to stem from vigorous competition as from anticompetitive exclusion. This goes to a core principle of antitrust enforcement: antitrust law seeks to protect competition and consumer welfare, not rivals. Competition will always lead to winners and losers. Antitrust law protects this process and (at least theoretically) ensures that rivals cannot manipulate enforcers to safeguard their economic rents. 

This explains why Frank Easterbrook—in his seminal work on “The Limits of Antitrust”—argued that enforcers should be highly suspicious of complaints lodged by rivals:

Antitrust litigation is attractive as a method of raising rivals’ costs because of the asymmetrical structure of incentives…. 

…One line worth drawing is between suits by rivals and suits by consumers. Business rivals have an interest in higher prices, while consumers seek lower prices. Business rivals seek to raise the costs of production, while consumers have the opposite interest…. 

…They [antitrust enforcers] therefore should treat suits by horizontal competitors with the utmost suspicion. They should dismiss outright some categories of litigation between rivals and subject all such suits to additional scrutiny.

Google’s competitors spent millions pressuring the FTC to bring a case against the company. But why should it be a failing for the FTC to resist such pressure? Indeed, as then-commissioner Tom Rosch admonished in an interview following the closing of the case:

They [Google’s competitors] can darn well bring [a case] as a private antitrust action if they think their ox is being gored instead of free-riding on the government to achieve the same result.

Not that they would likely win such a case. Google’s introduction of specialized shopping results (via the Google Shopping box) likely enabled several retailers to bypass the Amazon platform, thus increasing competition in the retail industry. Although this may have temporarily reduced Amazon’s traffic and revenue (Amazon’s sales have grown dramatically since then), it is exactly the outcome that antitrust laws are designed to protect.

Conclusion

When all is said and done, Politico’s revelations provide a rarely glimpsed look into the complex dynamics within the FTC, which many wrongly imagine to be a monolithic agency. Put simply, the FTC’s commissioners, lawyers, and economists often disagree vehemently about the appropriate course of conduct. This is a good thing. As in many other walks of life, having a market for ideas is a sure way to foster sound decision making.

But in the final analysis, what the revelations do not show is that the FTC’s market for ideas failed consumers a decade ago when it declined to bring an antitrust suit against Google. They thus do little to cement the case for antitrust intervention—whether a decade ago, or today.

In what has become regularly scheduled programming on Capitol Hill, Facebook CEO Mark Zuckerberg, Twitter CEO Jack Dorsey, and Google CEO Sundar Pichai will be subject to yet another round of congressional grilling—this time, about the platforms’ content-moderation policies—during a March 25 joint hearing of two subcommittees of the House Energy and Commerce Committee.

The stated purpose of this latest bit of political theatre is to explore, as made explicit in the hearing’s title, “social media’s role in promoting extremism and misinformation.” Specific topics are expected to include proposed changes to Section 230 of the Communications Decency Act, heightened scrutiny by the Federal Trade Commission, and misinformation about COVID-19—the subject of new legislation introduced by Rep. Jennifer Wexton (D-Va.) and Sen. Mazie Hirono (D-Hawaii).

But while many in the Democratic majority argue that social media companies have not done enough to moderate misinformation or hate speech, it is a problem with no realistic legal fix. Any attempt to mandate removal of speech on grounds that it is misinformation or hate speech, either directly or indirectly, would run afoul of the First Amendment.

Much of the recent focus has been on misinformation spread on social media about the 2020 election and the COVID-19 pandemic. The memorandum for the March 25 hearing sums it up:

Facebook, Google, and Twitter have long come under fire for their role in the dissemination and amplification of misinformation and extremist content. For instance, since the beginning of the coronavirus disease of 2019 (COVID-19) pandemic, all three platforms have spread substantial amounts of misinformation about COVID-19. At the outset of the COVID-19 pandemic, disinformation regarding the severity of the virus and the effectiveness of alleged cures for COVID-19 was widespread. More recently, COVID-19 disinformation has misrepresented the safety and efficacy of COVID-19 vaccines.

Facebook, Google, and Twitter have also been distributors for years of election disinformation that appeared to be intended either to improperly influence or undermine the outcomes of free and fair elections. During the November 2016 election, social media platforms were used by foreign governments to disseminate information to manipulate public opinion. This trend continued during and after the November 2020 election, often fomented by domestic actors, with rampant disinformation about voter fraud, defective voting machines, and premature declarations of victory.

It is true that, despite social media companies’ efforts to label and remove false content and bar some of the biggest purveyors, there remains a considerable volume of false information on social media. But U.S. Supreme Court precedent consistently has limited government regulation of false speech to distinct categories like defamation, perjury, and fraud.

The Case of Stolen Valor

The court’s 2011 decision in United States v. Alvarez struck down as unconstitutional the Stolen Valor Act of 2005, which made it a federal crime to falsely claim to have earned a military medal. A four-justice plurality opinion written by Justice Anthony Kennedy, along with a two-justice concurrence, both agreed that a statement being false did not, by itself, exclude it from First Amendment protection. 

Kennedy’s opinion noted that while the government may impose penalties for false speech connected with the legal process (perjury or impersonating a government official); with receiving a benefit (fraud); or with harming someone’s reputation (defamation); the First Amendment does not sanction penalties for false speech, in and of itself. The plurality exhibited particular skepticism toward the notion that government actors could be entrusted as a “Ministry of Truth,” empowered to determine what categories of false speech should be made illegal:

Permitting the government to decree this speech to be a criminal offense, whether shouted from the rooftops or made in a barely audible whisper, would endorse government authority to compile a list of subjects about which false statements are punishable. That governmental power has no clear limiting principle. Our constitutional tradition stands against the idea that we need Oceania’s Ministry of Truth… Were this law to be sustained, there could be an endless list of subjects the National Government or the States could single out… Were the Court to hold that the interest in truthful discourse alone is sufficient to sustain a ban on speech, absent any evidence that the speech was used to gain a material advantage, it would give government a broad censorial power unprecedented in this Court’s cases or in our constitutional tradition. The mere potential for the exercise of that power casts a chill, a chill the First Amendment cannot permit if free speech, thought, and discourse are to remain a foundation of our freedom. [EMPHASIS ADDED]

As noted in the opinion, declaring false speech illegal constitutes a content-based restriction subject to “exacting scrutiny.” Applying that standard, the court found “the link between the Government’s interest in protecting the integrity of the military honors system and the Act’s restriction on the false claims of liars like respondent has not been shown.” 

While finding that the government “has not shown, and cannot show, why counterspeech would not suffice to achieve its interest,” the plurality suggested a more narrowly tailored solution could be simply to publish Medal of Honor recipients in an online database. In other words, the government could overcome the problem of false speech by promoting true speech. 

In 2012, President Barack Obama signed an updated version of the Stolen Valor Act that limited its penalties to situations where a misrepresentation is shown to result in receipt of some kind of benefit. That places the false speech in the category of fraud, consistent with the Alvarez opinion.

A Social Media Ministry of Truth

Applying the Alvarez standard to social media, the government could (and already does) promote its interest in public health or election integrity by publishing true speech through official channels. But there is little reason to believe the government at any level could regulate access to misinformation. Anything approaching an outright ban on accessing speech deemed false by the government not only would not be the most narrowly tailored way to deal with such speech, but it is bound to have chilling effects even on true speech.

The analysis doesn’t change if the government instead places Big Tech itself in the position of Ministry of Truth. Some propose making changes to Section 230, which currently immunizes social media companies from liability for user speech (with limited exceptions), regardless what moderation policies the platform adopts. A hypothetical change might condition Section 230’s liability shield on platforms agreeing to moderate certain categories of misinformation. But that would still place the government in the position of coercing platforms to take down speech. 

Even the “fix” of making social media companies liable for user speech they amplify through promotions on the platform, as proposed by Sen. Mark Warner’s (D-Va.) SAFE TECH Act, runs into First Amendment concerns. The aim of the bill is to regard sponsored content as constituting speech made by the platform, thus opening the platform to liability for the underlying misinformation. But any such liability also would be limited to categories of speech that fall outside First Amendment protection, like fraud or defamation. This would not appear to include most of the types of misinformation on COVID-19 or election security that animate the current legislative push.

There is no way for the government to regulate misinformation, in and of itself, consistent with the First Amendment. Big Tech companies are free to develop their own policies against misinformation, but the government may not force them to do so. 

Extremely Limited Room to Regulate Extremism

The Big Tech CEOs are also almost certain to be grilled about the use of social media to spread “hate speech” or “extremist content.” The memorandum for the March 25 hearing sums it up like this:

Facebook executives were repeatedly warned that extremist content was thriving on their platform, and that Facebook’s own algorithms and recommendation tools were responsible for the appeal of extremist groups and divisive content. Similarly, since 2015, videos from extremists have proliferated on YouTube; and YouTube’s algorithm often guides users from more innocuous or alternative content to more fringe channels and videos. Twitter has been criticized for being slow to stop white nationalists from organizing, fundraising, recruiting and spreading propaganda on Twitter.

Social media has often played host to racist, sexist, and other types of vile speech. While social media companies have community standards and other policies that restrict “hate speech” in some circumstances, there is demand from some public officials that they do more. But under a First Amendment analysis, regulating hate speech on social media would fare no better than the regulation of misinformation.

The First Amendment doesn’t allow for the regulation of “hate speech” as its own distinct category. Hate speech is, in fact, as protected as any other type of speech. There are some limited exceptions, as the First Amendment does not protect incitement, true threats of violence, or “fighting words.” Some of these flatly do not apply in the online context. “Fighting words,” for instance, applies only in face-to-face situations to “those personally abusive epithets which, when addressed to the ordinary citizen, are, as a matter of common knowledge, inherently likely to provoke violent reaction.”

One relevant precedent is the court’s 1992 decision in R.A.V. v. St. Paul, which considered a local ordinance in St. Paul, Minnesota, prohibiting public expressions that served to cause “outrage, alarm, or anger with respect to racial, gender or religious intolerance.” A juvenile was charged with violating the ordinance when he created a makeshift cross and lit it on fire in front of a black family’s home. The court unanimously struck down the ordinance as a violation of the First Amendment, finding it an impermissible content-based restraint that was not limited to incitement or true threats.

By contrast, in 2003’s Virginia v. Black, the Supreme Court upheld a Virginia law outlawing cross burnings done with the intent to intimidate. The court’s opinion distinguished R.A.V. on grounds that the Virginia statute didn’t single out speech regarding disfavored topics. Instead, it was aimed at speech that had the intent to intimidate regardless of the victim’s race, gender, religion, or other characteristic. But the court was careful to limit government regulation of hate speech to instances that involve true threats or incitement.

When it comes to incitement, the legal standard was set by the court’s landmark Brandenberg v. Ohio decision in 1969, which laid out that:

the constitutional guarantees of free speech and free press do not permit a State to forbid or proscribe advocacy of the use of force or of law violation except where such advocacy is directed to inciting or producing imminent lawless action and is likely to incite or produce such action. [EMPHASIS ADDED]

In other words, while “hate speech” is protected by the First Amendment, specific types of speech that convey true threats or fit under the related doctrine of incitement are not. The government may regulate those types of speech. And they do. In fact, social media users can be, and often are, charged with crimes for threats made online. But the government can’t issue a per se ban on hate speech or “extremist content.”

Just as with misinformation, the government also can’t condition Section 230 immunity on platforms removing hate speech. Insofar as speech is protected under the First Amendment, the government can’t specifically condition a government benefit on its removal. Even the SAFE TECH Act’s model for holding platforms accountable for amplifying hate speech or extremist content would have to be limited to speech that amounts to true threats or incitement. This is a far narrower category of hateful speech than the examples that concern legislators. 

Social media companies do remain free under the law to moderate hateful content as they see fit under their terms of service. Section 230 immunity is not dependent on whether companies do or don’t moderate such content, or on how they define hate speech. But government efforts to step in and define hate speech would likely run into First Amendment problems unless they stay focused on unprotected threats and incitement.

What Can the Government Do?

One may fairly ask what it is that governments can do to combat misinformation and hate speech online. The answer may be a law that requires takedowns by court order of speech after it is declared illegal, as proposed by the PACT Act, sponsored in the last session by Sens. Brian Schatz (D-Hawaii) and John Thune (R-S.D.). Such speech may, in some circumstances, include misinformation or hate speech.

But as outlined above, the misinformation that the government can regulate is limited to situations like fraud or defamation, while the hate speech it can regulate is limited to true threats and incitement. A narrowly tailored law that looked to address those specific categories may or may not be a good idea, but it would likely survive First Amendment scrutiny, and may even prove a productive line of discussion with the tech CEOs.