Archives For Apple

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.

Still from Squid Game, Netflix and Siren Pictures Inc., 2021

Recent commentary on the proposed merger between WarnerMedia and Discovery, as well as Amazon’s acquisition of MGM, often has included the suggestion that the online content-creation and video-streaming markets are excessively consolidated, or that they will become so absent regulatory intervention. For example, in a recent letter to the U.S. Justice Department (DOJ), the American Antitrust Institute and Public Knowledge opine that:

Slow and inadequate oversight risks the streaming market going the same route as cable—where consumers have little power, few options, and where consolidation and concentration reign supreme. A number of threats to competition are clear, as discussed in this section, including: (1) market power issues surrounding content and (2) the role of platforms in “gatekeeping” to limit competition.

But the AAI/PK assessment overlooks key facts about the video-streaming industry, some of which suggest that, if anything, these markets currently suffer from too much fragmentation.

The problem is well-known: any individual video-streaming service will offer only a fraction of the content that viewers want, but budget constraints limit the number of services that a household can afford to subscribe to. It may be counterintuitive, but consolidation in the market for video-streaming can solve both problems at once.

One subscription is not enough

Surveys find that U.S. households currently maintain, on average, four video-streaming subscriptions. This explains why even critics concede that a plethora of streaming services compete for consumer eyeballs. For instance, the AAI and PK point out that:

Today, every major media company realizes the value of streaming and a bevy of services have sprung up to offer different catalogues of content.

These companies have challenged the market leader, Netflix and include: Prime Video (2006), Hulu (2007), Paramount+ (2014), ESPN+ (2018), Disney+ (2019), Apple TV+ (2019), HBO Max (2020), Peacock (2020), and Discovery+ (2021).

With content scattered across several platforms, multiple subscriptions are the only way for households to access all (or most) of the programs they desire. Indeed, other than price, library sizes and the availability of exclusive content are reportedly the main drivers of consumer purchase decisions.

Of course, there is nothing inherently wrong with the current equilibrium in which consumers multi-home across multiple platforms. One potential explanation is demand for high-quality exclusive content, which requires tremendous investment to develop and promote. Production costs for TV series routinely run in the tens of millions of dollars per episode (see here and here). Economic theory predicts these relationship-specific investments made by both producers and distributors will cause producers to opt for exclusive distribution or vertical integration. The most sought-after content is thus exclusive to each platform. In other words, exclusivity is likely the price that users must pay to ensure that high-quality entertainment continues to be produced.

But while this paradigm has many strengths, the ensuing fragmentation can be detrimental to consumers, as this may lead to double marginalization or mundane issues like subscription fatigue. Consolidation can be a solution to both.

Substitutes, complements, or unrelated?

As Hal Varian explains in his seminal book, the relationship between two goods can range among three extremes: perfect substitutes (i.e., two goods are perfectly interchangeable); perfect complements (i.e., there is no value to owning one good without the other); or goods that exist in independent markets (i.e., the price of one good does not affect demand for the other).

These distinctions are critical when it comes to market concentration. All else equal—which is obviously not the case in reality—increased concentration leads to lower prices for complements, and higher prices for substitutes. Finally, if demand for two goods is unrelated, then bringing them under common ownership should not affect their price.

To at least some extent, streaming services should be seen as complements rather than substitutes—or, at least, as services with unrelated demand. If they were perfect substitutes, consumers would be indifferent between two Netflix subscriptions or one Netflix plan and one Amazon Prime plan. That is obviously not the case. Nor are they perfect complements, which would mean that Netflix is worthless without Amazon Prime, Disney+, and other services.

However, there is reason to believe there exists some complementarity between streaming services, or at least that demand for them is independent. Most consumers subscribe to multiple services, and almost no one subscribes to the same service twice:

SOURCE: Finance Buzz

This assertion is also supported by the ubiquitous bundling of subscriptions in the cable distribution industry, which also has recently been seen in video-streaming markets. For example, in the United States, Disney+ can be purchased in a bundle with Hulu and ESPN+.

The key question is: is each service more valuable, less valuable, or as valuable in isolation than they are when bundled? If households place some additional value on having a complete video offering (one that includes child entertainment, sports, more mature content, etc.), and if they value the convenience of accessing more of their content via a single app, then we can infer these services are to some extent complementary.

Finally, it is worth noting that any complementarity between these services would be largely endogenous. If the industry suddenly switched to a paradigm of non-exclusive content—as is broadly the case for audio streaming—the above analysis would be altered (though, as explained above, such a move would likely be detrimental to users). Streaming services would become substitutes if they offered identical catalogues.

In short, the extent to which streaming services are complements ultimately boils down to an empirical question that may fluctuate with industry practices. As things stand, there is reason to believe that these services feature some complementarities, or at least that demand for them is independent. In turn, this suggests that further consolidation within the industry would not lead to price increases and may even reduce them.

Consolidation can enable price discrimination

It is well-established that bundling entertainment goods can enable firms to better engage in price discrimination, often increasing output and reducing deadweight loss in the process.

Take George Stigler’s famous explanation for the practice of “block booking,” in which movie studios sold multiple films to independent movie theatres as a unit. Stigler assumes the underlying goods are neither substitutes nor complements:

Stigler, George J. (1963) “United States v. Loew’s Inc.: A Note on Block-Booking,” Supreme Court Review: Vol. 1963 : No. 1 , Article 2.

The upshot is that, when consumer tastes for content are idiosyncratic—as is almost certainly the case for movies and television series, movies—it can counterintuitively make sense to sell differing content as a bundle. In doing so, the distributor avoids pricing consumers out of the content upon which they place a lower value. Moreover, this solution is more efficient than price discriminating on an unbundled basis, as doing so would require far more information on the seller’s part and would be vulnerable to arbitrage.

In short, bundling enables each consumer to access a much wider variety of content. This, in turn, provides a powerful rationale for mergers in the video-streaming space—particularly where they can bring together varied content libraries. Put differently, it cuts in favor of more, not less, concentration in video-streaming markets (at least, up to a certain point).

Finally, a wide array of scale-related economies further support the case for concentration in video-streaming markets. These include potential economies of scale, network effects, and reduced transaction costs.

The simplest of these ideas is that the cost of video streaming may decrease at the margin (i.e., serving each marginal viewer might be cheaper than the previous one). In other words, mergers of video-streaming services mayenable platforms to operate at a more efficient scale. There has notably been some discussion of whether Netflix benefits from scale economies of this sort. But this is, of course, ultimately an empirical question. As I have written with Geoffrey Manne, we should not assume that this is the case for all digital platforms, or that these increasing returns are present at all ranges of output.

Likewise, the fact that content can earn greater revenues by reaching a wider audience (or a greater number of small niches) may increase a producer’s incentive to create high-quality content. For example, Netflix’s recent hit series Squid Game reportedly cost $16.8 million to produce a total of nine episodes. This is significant for a Korean-language thriller. These expenditures were likely only possible because of Netflix’s vast network of viewers. Video-streaming mergers can jump-start these effects by bringing previously fragmented audiences onto a single platform.

Finally, operating at a larger scale may enable firms and consumers to economize on various transaction and search costs. For instance, consumers don’t need to manage several subscriptions, and searching for content is easier within a single ecosystem.

Conclusion

In short, critics could hardly be more wrong in assuming that consolidation in the video-streaming industry will necessarily harm consumers. To the contrary, these mergers should be presumptively welcomed because, to a first approximation, they are likely to engender lower prices and reduce deadweight loss.

Critics routinely draw parallels between video streaming and the consolidation that previously moved through the cable industry. They suggest these events as evidence that consolidation was (and still is) inefficient and exploitative of consumers. As AAI and PK frame it:

Moreover, given the broader competition challenges that reside in those markets, and the lessons learned from a failure to ensure competition in the traditional MVPD markets, enforcers should be particularly vigilant.

But while it might not have been ideal for all consumers, the comparatively laissez-faire approach to competition in the cable industry arguably facilitated the United States’ emergence as a global leader for TV programming. We are now witnessing what appears to be a similar trend in the online video-streaming market.

This is mostly a good thing. While a single streaming service might not be the optimal industry configuration from a welfare standpoint, it would be equally misguided to assume that fragmentation necessarily benefits consumers. In fact, as argued throughout this piece, there are important reasons to believe that the status quo—with at least 10 significant players—is too fragmented and that consumers would benefit from additional consolidation.

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.

The American Choice and Innovation Online Act (previously called the Platform Anti-Monopoly Act), introduced earlier this summer by U.S. Rep. David Cicilline (D-R.I.), would significantly change the nature of digital platforms and, with them, the internet itself. Taken together, the bill’s provisions would turn platforms into passive intermediaries, undermining many of the features that make them valuable to consumers. This seems likely to remain the case even after potential revisions intended to minimize the bill’s unintended consequences.

In its current form, the bill is split into two parts that each is dangerous in its own right. The first, Section 2(a), would prohibit almost any kind of “discrimination” by platforms. Because it is so open-ended, lawmakers might end up removing it in favor of the nominally more focused provisions of Section 2(b), which prohibit certain named conduct. But despite being more specific, this section of the bill is incredibly far-reaching and would effectively ban swaths of essential services.

I will address the potential effects of these sections point-by-point, but both elements of the bill suffer from the same problem: a misguided assumption that “discrimination” by platforms is necessarily bad from a competition and consumer welfare point of view. On the contrary, this conduct is often exactly what consumers want from platforms, since it helps to bring order and legibility to otherwise-unwieldy parts of the Internet. Prohibiting it, as both main parts of the bill do, would make the Internet harder to use and less competitive.

Section 2(a)

Section 2(a) essentially prohibits any behavior by a covered platform that would advantage that platform’s services over any others that also uses that platform; it characterizes this preferencing as “discrimination.”

As we wrote when the House Judiciary Committee’s antitrust bills were first announced, this prohibition on “discrimination” is so broad that, if it made it into law, it would prevent platforms from excluding or disadvantaging any product of another business that uses the platform or advantaging their own products over those of their competitors.

The underlying assumption here is that platforms should be like telephone networks: providing a way for different sides of a market to communicate with each other, but doing little more than that. When platforms do do more—for example, manipulating search results to favor certain businesses or to give their own products prominence —it is seen as exploitative “leveraging.”

But consumers often want platforms to be more than just a telephone network or directory, because digital markets would be very difficult to navigate without some degree of “discrimination” between sellers. The Internet is so vast and sellers are often so anonymous that any assistance which helps you choose among options can serve to make it more navigable. As John Gruber put it:

From what I’ve seen over the last few decades, the quality of the user experience of every computing platform is directly correlated to the amount of control exerted by its platform owner. The current state of the ownerless world wide web speaks for itself.

Sometimes, this manifests itself as “self-preferencing” of another service, to reduce additional time spent searching for the information you want. When you search for a restaurant on Google, it can be very useful to get information like user reviews, the restaurant’s phone number, a button on mobile to phone them directly, estimates of how busy it is, and a link to a Maps page to see how to actually get there.

This is, undoubtedly, frustrating for competitors like Yelp, who would like this information not to be there and for users to have to click on either a link to Yelp or a link to Google Maps. But whether it is good or bad for Yelp isn’t relevant to whether it is good for users—and it is at least arguable that it is, which makes a blanket prohibition on this kind of behavior almost inevitably harmful.

If it isn’t obvious why removing this kind of feature would be harmful for users, ask yourself why some users search in Yelp’s app directly for this kind of result. The answer, I think, is that Yelp gives you all the information above that Google does (and sometimes is better, although I tend to trust Google Maps’ reviews over Yelp’s), and it’s really convenient to have all that on the same page. If Google could not provide this kind of “rich” result, many users would probably stop using Google Search to look for restaurant information in the first place, because a new friction would have been added that made the experience meaningfully worse. Removing that option would be good for Yelp, but mainly because it removes a competitor.

If all this feels like stating the obvious, then it should highlight a significant problem with Section 2(a) in the Cicilline bill: it prohibits conduct that is directly value-adding for consumers, and that creates competition for dedicated services like Yelp that object to having to compete with this kind of conduct.

This is true across all the platforms the legislation proposes to regulate. Amazon prioritizes some third-party products over others on the basis of user reviews, rates of returns and complaints, and so on; Amazon provides private label products to fill gaps in certain product lines where existing offerings are expensive or unreliable; Apple pre-installs a Camera app on the iPhone that, obviously, enjoys an advantage over rival apps like Halide.

Some or all of this behavior would be prohibited under Section 2(a) of the Cicilline bill. Combined with the bill’s presumption that conduct must be defended affirmatively—that is, the platform is presumed guilty unless it can prove that the challenged conduct is pro-competitive, which may be very difficult to do—and the bill could prospectively eliminate a huge range of socially valuable behavior.

Supporters of the bill have already been left arguing that the law simply wouldn’t be enforced in these cases of benign discrimination. But this would hardly be an improvement. It would mean the Federal Trade Commission (FTC) and U.S. Justice Department (DOJ) have tremendous control over how these platforms are built, since they could challenge conduct in virtually any case. The regulatory uncertainty alone would complicate the calculus for these firms as they refine, develop, and deploy new products and capabilities. 

So one potential compromise might be to do away with this broad-based rule and proscribe specific kinds of “discriminatory” conduct instead. This approach would involve removing Section 2(a) from the bill but retaining Section 2(b), which enumerates 10 practices it deems to be “other discriminatory conduct.” This may seem appealing, as it would potentially avoid the worst abuses of the broad-based prohibition. In practice, however, it would carry many of the same problems. In fact, many of 2(b)’s provisions appear to go even further than 2(a), and would proscribe even more procompetitive conduct that consumers want.

Sections 2(b)(1) and 2(b)(9)

The wording of these provisions is extremely broad and, as drafted, would seem to challenge even the existence of vertically integrated products. As such, these prohibitions are potentially even more extensive and invasive than Section 2(a) would have been. Even a narrower reading here would seem to preclude safety and privacy features that are valuable to many users. iOS’s sandboxing of apps, for example, serves to limit the damage that a malware app can do on a user’s device precisely because of the limitations it imposes on what other features and hardware the app can access.

Section 2(b)(2)

This provision would preclude a firm from conditioning preferred status on use of another service from that firm. This would likely undermine the purpose of platforms, which is to absorb and counter some of the risks involved in doing business online. An example of this is Amazon’s tying eligibility for its Prime program to sellers that use Amazon’s delivery service (FBA – Fulfilled By Amazon). The bill seems to presume in an example like this that Amazon is leveraging its power in the market—in the form of the value of the Prime label—to profit from delivery. But Amazon could, and already does, charge directly for listing positions; it’s unclear why it would benefit from charging via FBA when it could just charge for the Prime label.

An alternate, simpler explanation is that FBA improves the quality of the service, by granting customers greater assurance that a Prime product will arrive when Amazon says it will. Platforms add value by setting out rules and providing services that reduce the uncertainties between buyers and sellers they’d otherwise experience if they transacted directly with each other. This section’s prohibition—which, as written, would seem to prevent any kind of quality assurance—likely would bar labelling by a platform, even where customers explicitly want it.

Section 2(b)(3)

As written, this would prohibit platforms from using aggregated data to improve their services at all. If Apple found that 99% of its users uninstalled an app immediately after it was installed, it would be reasonable to conclude that the app may be harmful or broken in some way, and that Apple should investigate. This provision would ban that.

Sections 2(b)(4) and 2(b)(6)

These two provisions effectively prohibit a platform from using information it does not also provide to sellers. Such prohibitions ignore the fact that it is often good for sellers to lack certain information, since withholding information can prevent abuse by malicious users. For example, a seller may sometimes try to bribe their customers to post positive reviews of their products, or even threaten customers who have posted negative ones. Part of the role of a platform is to combat that kind of behavior by acting as a middleman and forcing both consumer users and business users to comply with the platform’s own mechanisms to control that kind of behavior.

If this seems overly generous to platforms—since, obviously, it gives them a lot of leverage over business users—ask yourself why people use platforms at all. It is not a coincidence that people often prefer Amazon to dealing with third-party merchants and having to navigate those merchants’ sites themselves. The assurance that Amazon provides is extremely valuable for users. Much of it comes from the company’s ability to act as a middleman in this way, lowering the transaction costs between buyers and sellers.

Section 2(b)(5)

This provision restricts the treatment of defaults. It is, however, relatively restrained when compared to, for example, the DOJ’s lawsuit against Google, which treats as anticompetitive even payment for defaults that can be changed. Still, many of the arguments that apply in that case also apply here: default status for apps can be a way to recoup income foregone elsewhere (e.g., a browser provided for free that makes its money by selling the right to be the default search engine).

Section 2(b)(7)

This section gets to the heart of why “discrimination” can often be procompetitive: that it facilitates competition between platforms. The kind of self-preferencing that this provision would prohibit can allow firms that have a presence in one market to extend that position into another, increasing competition in the process. Both Apple and Amazon have used their customer bases in smartphones and e-commerce, respectively, to grow their customer bases for video streaming, in competition with Netflix, Google’s YouTube, cable television, and each other. If Apple designed a search engine to compete with Google, it would do exactly the same thing, and we would be better off because of it. Restricting this kind of behavior is, perversely, exactly what you would do if you wanted to shield these incumbents from competition.

Section 2(b)(8)

As with other provisions, this one would preclude one of the mechanisms by which platforms add value: creating assurance for customers about the products they can expect if they visit the platform. Some of this relates to child protection; some of the most frustrating stories involve children being overcharged when they use an iPhone or Android app, and effectively being ripped off because of poor policing of the app (or insufficiently strict pricing rules by Apple or Google). This may also relate to rules that state that the seller cannot offer a cheaper product elsewhere (Amazon’s “General Pricing Rule” does this, for example). Prohibiting this would simply impose a tax on customers who cannot shop around and would prefer to use a platform that they trust has the lowest prices for the item they want.

Section 2(b)(10)

Ostensibly a “whistleblower” provision, this section could leave platforms with no recourse, not even removing a user from its platform, in response to spurious complaints intended purely to extract value for the complaining business rather than to promote competition. On its own, this sort of provision may be fairly harmless, but combined with the provisions above, it allows the bill to add up to a rent-seekers’ charter.

Conclusion

In each case above, it’s vital to remember that a reversed burden of proof applies. So, there is a high chance that the law will side against the defendant business, and a large downside for conduct that ends up being found to violate these provisions. That means that platforms will likely err on the side of caution in many cases, avoiding conduct that is ambiguous, and society will probably lose a lot of beneficial behavior in the process.

Put together, the provisions undermine much of what has become an Internet platform’s role: to act as an intermediary, de-risk transactions between customers and merchants who don’t know each other, and tweak the rules of the market to maximize its attractiveness as a place to do business. The “discrimination” that the bill would outlaw is, in practice, behavior that makes it easier for consumers to navigate marketplaces of extreme complexity and uncertainty, in which they often know little or nothing about the firms with whom they are trying to transact business.

Customers do not want platforms to be neutral, open utilities. They can choose platforms that are like that already, such as eBay. They generally tend to prefer ones like Amazon, which are not neutral and which carefully cultivate their service to be as streamlined, managed, and “discriminatory” as possible. Indeed, many of people’s biggest complaints with digital platforms relate to their openness: the fake reviews, counterfeit products, malware, and spam that come with letting more unknown businesses use your service. While these may be unavoidable by-products of running a platform, platforms compete on their ability to ferret them out. Customers are unlikely to thank legislators for regulating Amazon into being another eBay.

The language of the federal antitrust laws is extremely general. Over more than a century, the federal courts have applied common-law techniques to construe this general language to provide guidance to the private sector as to what does or does not run afoul of the law. The interpretive process has been fraught with some uncertainty, as judicial approaches to antitrust analysis have changed several times over the past century. Nevertheless, until very recently, judges and enforcers had converged toward relying on a consumer welfare standard as the touchstone for antitrust evaluations (see my antitrust primer here, for an overview).

While imperfect and subject to potential error in application—a problem of legal interpretation generally—the consumer welfare principle has worked rather well as the focus both for antitrust-enforcement guidance and judicial decision-making. The general stability and predictability of antitrust under a consumer welfare framework has advanced the rule of law. It has given businesses sufficient information to plan transactions in a manner likely to avoid antitrust liability. It thereby has cabined uncertainty and increased the probability that private parties would enter welfare-enhancing commercial arrangements, to the benefit of society.

In a very thoughtful 2017 speech, then Acting Assistant Attorney General for Antitrust Andrew Finch commented on the importance of the rule of law to principled antitrust enforcement. He noted:

[H]ow do we administer the antitrust laws more rationally, accurately, expeditiously, and efficiently? … Law enforcement requires stability and continuity both in rules and in their application to specific cases.

Indeed, stability and continuity in enforcement are fundamental to the rule of law. The rule of law is about notice and reliance. When it is impossible to make reasonable predictions about how a law will be applied, or what the legal consequences of conduct will be, these important values are diminished. To call our antitrust regime a “rule of law” regime, we must enforce the law as written and as interpreted by the courts and advance change with careful thought.

The reliance fostered by stability and continuity has obvious economic benefits. Businesses invest, not only in innovation but in facilities, marketing, and personnel, and they do so based on the economic and legal environment they expect to face.

Of course, we want businesses to make those investments—and shape their overall conduct—in accordance with the antitrust laws. But to do so, they need to be able to rely on future application of those laws being largely consistent with their expectations. An antitrust enforcement regime with frequent changes is one that businesses cannot plan for, or one that they will plan for by avoiding certain kinds of investments.

That is certainly not to say there has not been positive change in the antitrust laws in the past, or that we would have been better off without those changes. U.S. antitrust law has been refined, and occasionally recalibrated, with the courts playing their appropriate interpretive role. And enforcers must always be on the watch for new or evolving threats to competition.  As markets evolve and products develop over time, our analysis adapts. But as those changes occur, we pursue reliability and consistency in application in the antitrust laws as much as possible.

Indeed, we have enjoyed remarkable continuity and consensus for many years. Antitrust law in the U.S. has not been a “paradox” for quite some time, but rather a stable and valuable law enforcement regime with appropriately widespread support.

Unfortunately, policy decisions taken by the new Federal Trade Commission (FTC) leadership in recent weeks have rejected antitrust continuity and consensus. They have injected substantial uncertainty into the application of competition-law enforcement by the FTC. This abrupt change in emphasis undermines the rule of law and threatens to reduce economic welfare.

As of now, the FTC’s departure from the rule of law has been notable in two areas:

  1. Its rejection of previous guidance on the agency’s “unfair methods of competition” authority, the FTC’s primary non-merger-related enforcement tool; and
  2. Its new advice rejecting time limits for the review of generally routine proposed mergers.

In addition, potential FTC rulemakings directed at “unfair methods of competition” would, if pursued, prove highly problematic.

Rescission of the Unfair Methods of Competition Policy Statement

The FTC on July 1 voted 3-2 to rescind the 2015 FTC Policy Statement Regarding Unfair Methods of Competition under Section 5 of the FTC Act (UMC Policy Statement).

The bipartisan UMC Policy Statement has originally been supported by all three Democratic commissioners, including then-Chairwoman Edith Ramirez. The policy statement generally respected and promoted the rule of law by emphasizing that, in applying the facially broad “unfair methods of competition” (UMC) language, the FTC would be guided by the well-established principles of the antitrust rule of reason (including considering any associated cognizable efficiencies and business justifications) and the consumer welfare standard. The FTC also explained that it would not apply “standalone” Section 5 theories to conduct that would violate the Sherman or Clayton Acts.

In short, the UMC Policy Statement sent a strong signal that the commission would apply UMC in a manner fully consistent with accepted and well-understood antitrust policy principles. As in the past, the vast bulk of FTC Section 5 prosecutions would be brought against conduct that violated the core antitrust laws. Standalone Section 5 cases would be directed solely at those few practices that harmed consumer welfare and competition, but somehow fell into a narrow crack in the basic antitrust statutes (such as, perhaps, “invitations to collude” that lack plausible efficiency justifications). Although the UMC Statement did not answer all questions regarding what specific practices would justify standalone UMC challenges, it substantially limited business uncertainty by bringing Section 5 within the boundaries of settled antitrust doctrine.

The FTC’s announcement of the UMC Policy Statement rescission unhelpfully proclaimed that “the time is right for the Commission to rethink its approach and to recommit to its mandate to police unfair methods of competition even if they are outside the ambit of the Sherman or Clayton Acts.” As a dissenting statement by Commissioner Christine S. Wilson warned, consumers would be harmed by the commission’s decision to prioritize other unnamed interests. And as Commissioner Noah Joshua Phillips stressed in his dissent, the end result would be reduced guidance and greater uncertainty.

In sum, by suddenly leaving private parties in the dark as to how to conform themselves to Section 5’s UMC requirements, the FTC’s rescission offends the rule of law.

New Guidance to Parties Considering Mergers

For decades, parties proposing mergers that are subject to statutory Hart-Scott-Rodino (HSR) Act pre-merger notification requirements have operated under the understanding that:

  1. The FTC and U.S. Justice Department (DOJ) will routinely grant “early termination” of review (before the end of the initial 30-day statutory review period) to those transactions posing no plausible competitive threat; and
  2. An enforcement agency’s decision not to request more detailed documents (“second requests”) after an initial 30-day pre-merger review effectively serves as an antitrust “green light” for the proposed acquisition to proceed.

Those understandings, though not statutorily mandated, have significantly reduced antitrust uncertainty and related costs in the planning of routine merger transactions. The rule of law has been advanced through an effective assurance that business combinations that appear presumptively lawful will not be the target of future government legal harassment. This has advanced efficiency in government, as well; it is a cost-beneficial optimal use of resources for DOJ and the FTC to focus exclusively on those proposed mergers that present a substantial potential threat to consumer welfare.

Two recent FTC pronouncements (one in tandem with DOJ), however, have generated great uncertainty by disavowing (at least temporarily) those two welfare-promoting review policies. Joined by DOJ, the FTC on Feb. 4 announced that the agencies would temporarily suspend early terminations, citing an “unprecedented volume of filings” and a transition to new leadership. More than six months later, this “temporary” suspension remains in effect.

Citing “capacity constraints” and a “tidal wave of merger filings,” the FTC subsequently published an Aug. 3 blog post that effectively abrogated the 30-day “green lighting” of mergers not subject to a second request. It announced that it was sending “warning letters” to firms reminding them that FTC investigations remain open after the initial 30-day period, and that “[c]ompanies that choose to proceed with transactions that have not been fully investigated are doing so at their own risk.”

The FTC’s actions interject unwarranted uncertainty into merger planning and undermine the rule of law. Preventing early termination on transactions that have been approved routinely not only imposes additional costs on business; it hints that some transactions might be subject to novel theories of liability that fall outside the antitrust consensus.

Perhaps more significantly, as three prominent antitrust practitioners point out, the FTC’s warning letters states that:

[T]he FTC may challenge deals that “threaten to reduce competition and harm consumers, workers, and honest businesses.” Adding in harm to both “workers and honest businesses” implies that the FTC may be considering more ways that transactions can have an adverse impact other than just harm to competition and consumers [citation omitted].

Because consensus antitrust merger analysis centers on consumer welfare, not the protection of labor or business interests, any suggestion that the FTC may be extending its reach to these new areas is inconsistent with established legal principles and generates new business-planning risks.

More generally, the Aug. 6 FTC “blog post could be viewed as an attempt to modify the temporal framework of the HSR Act”—in effect, an effort to displace an implicit statutory understanding in favor of an agency diktat, contrary to the rule of law. Commissioner Wilson sees the blog post as a means to keep investigations open indefinitely and, thus, an attack on the decades-old HSR framework for handling most merger reviews in an expeditious fashion (see here). Commissioner Phillips is concerned about an attempt to chill legal M&A transactions across the board, particularly unfortunate when there is no reason to conclude that particular transactions are illegal (see here).

Finally, the historical record raises serious questions about the “resource constraint” justification for the FTC’s new merger review policies:

Through the end of July 2021, more than 2,900 transactions were reported to the FTC. It is not clear, however, whether these record-breaking HSR filing numbers have led (or will lead) to more deals being investigated. Historically, only about 13 percent of all deals reported are investigated in some fashion, and roughly 3 percent of all deals reported receive a more thorough, substantive review through the issuance of a Second Request. Even if more deals are being reported, for the majority of transactions, the HSR process is purely administrative, raising no antitrust concerns, and, theoretically, uses few, if any, agency resources. [Citations omitted.]

Proposed FTC Competition Rulemakings

The new FTC leadership is strongly considering competition rulemakings. As I explained in a recent Truth on the Market post, such rulemakings would fail a cost-benefit test. They raise serious legal risks for the commission and could impose wasted resource costs on the FTC and on private parties. More significantly, they would raise two very serious economic policy concerns:

First, competition rules would generate higher error costs than adjudications. Adjudications cabin error costs by allowing for case-specific analysis of likely competitive harms and procompetitive benefits. In contrast, competition rules inherently would be overbroad and would suffer from a very high rate of false positives. By characterizing certain practices as inherently anticompetitive without allowing for consideration of case-specific facts bearing on actual competitive effects, findings of rule violations inevitably would condemn some (perhaps many) efficient arrangements.

Second, competition rules would undermine the rule of law and thereby reduce economic welfare. FTC-only competition rules could lead to disparate legal treatment of a firm’s business practices, depending upon whether the FTC or the U.S. Justice Department was the investigating agency. Also, economic efficiency gains could be lost due to the chilling of aggressive efficiency-seeking business arrangements in those sectors subject to rules. [Emphasis added.]

In short, common law antitrust adjudication, focused on the consumer welfare standard, has done a good job of promoting a vibrant competitive economy in an efficient fashion. FTC competition rulemaking would not.

Conclusion

Recent FTC actions have undermined consensus antitrust-enforcement standards and have departed from established merger-review procedures with respect to seemingly uncontroversial consolidations. Those decisions have imposed costly uncertainty on the business sector and are thereby likely to disincentivize efficiency-seeking arrangements. What’s more, by implicitly rejecting consensus antitrust principles, they denigrate the primacy of the rule of law in antitrust enforcement. The FTC’s pursuit of competition rulemaking would further damage the rule of law by imposing arbitrary strictures that ignore matter-specific considerations bearing on the justifications for particular business decisions.

Fortunately, these are early days in the Biden administration. The problematic initial policy decisions delineated in this comment could be reversed based on further reflection and deliberation within the commission. Chairwoman Lina Khan and her fellow Democratic commissioners would benefit by consulting more closely with Commissioners Wilson and Phillips to reach agreement on substantive and procedural enforcement policies that are better tailored to promote consumer welfare and enhance vibrant competition. Such policies would benefit the U.S. economy in a manner consistent with the rule of law.

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. 

ICLE at the Oxford Union

Sam Bowman —  13 July 2021

Earlier this year, the International Center for Law & Economics (ICLE) hosted a conference with the Oxford Union on the themes of innovation, competition, and economic growth with some of our favorite scholars. Though attendance at the event itself was reserved for Oxford Union members, videos from that day are now available for everyone to watch.

Charles Goodhart and Manoj Pradhan on demographics and growth

Charles Goodhart, of Goodhart’s Law fame, and Manoj Pradhan discussed the relationship between demographics and growth, and argued that an aging global population could mean higher inflation and interest rates sooner than many imagine.

Catherine Tucker on privacy and innovation — is there a trade-off?

Catherine Tucker of the Massachusetts Institute of Technology discussed the costs and benefits of privacy regulation with ICLE’s Sam Bowman, and considered whether we face a trade-off between privacy and innovation online and in the fight against COVID-19.

Don Rosenberg on the political and economic challenges facing a global tech company in 2021

Qualcomm’s General Counsel Don Rosenberg, formerly of Apple and IBM, discussed the political and economic challenges facing a global tech company in 2021, as well as dealing with China while working in one of the most strategically vital industries in the world.

David Teece on the dynamic capabilities framework

David Teece explained the dynamic capabilities framework, a way of understanding business strategy and behavior in an uncertain world.

Vernon Smith in conversation with Shruti Rajagopalan on what we still have to learn from Adam Smith

Nobel laureate Vernon Smith discussed the enduring insights of Adam Smith with the Mercatus Center’s Shruti Rajagopalan.

Samantha Hoffman, Robert Atkinson and Jennifer Huddleston on American and Chinese approaches to tech policy in the 2020s

The final panel, with the Information Technology and Innovation Foundation’s President Robert Atkinson, the Australian Strategic Policy Institute’s Samantha Hoffman, and the American Action Forum’s Jennifer Huddleston, discussed the role that tech policy in the U.S. and China plays in the geopolitics of the 2020s.

Interrogations concerning the role that economic theory should play in policy decisions are nothing new. Milton Friedman famously drew a distinction between “positive” and “normative” economics, notably arguing that theoretical models were valuable, despite their unrealistic assumptions. Kenneth Arrow and Gerard Debreu’s highly theoretical work on General Equilibrium Theory is widely acknowledged as one of the most important achievements of modern economics.

But for all their intellectual value and academic merit, the use of models to inform policy decisions is not uncontroversial. There is indeed a long and unfortunate history of influential economic models turning out to be poor depictions (and predictors) of real-world outcomes.

This raises a key question: should policymakers use economic models to inform their decisions and, if so, how? This post uses the economics of externalities to illustrate both the virtues and pitfalls of economic modeling. Throughout economic history, externalities have routinely been cited to support claims of market failure and calls for government intervention. However, as explained below, these fears have frequently failed to withstand empirical scrutiny.

Today, similar models are touted to support government intervention in digital industries. Externalities are notably said to prevent consumers from switching between platforms, allegedly leading to unassailable barriers to entry and deficient venture-capital investment. Unfortunately, as explained below, the models that underpin these fears are highly abstracted and far removed from underlying market realities.

Ultimately, this post argues that, while models provide a powerful way of thinking about the world, naïvely transposing them to real-world settings is misguided. This is not to say that models are useless—quite the contrary. Indeed, “falsified” models can shed powerful light on economic behavior that would otherwise prove hard to understand.

Bees

Fears surrounding economic externalities are as old as modern economics. For example, in the 1950s, economists routinely cited bee pollination as a source of externalities and, ultimately, market failure.

The basic argument was straightforward: Bees and orchards provide each other with positive externalities. Bees cross-pollinate flowers and orchards contain vast amounts of nectar upon which bees feed, thus improving honey yields. Accordingly, several famous economists argued that there was a market failure; bees fly where they please and farmers cannot prevent bees from feeding on their blossoming flowers—allegedly causing underinvestment in both. This led James Meade to conclude:

[T]he apple-farmer provides to the beekeeper some of his factors free of charge. The apple-farmer is paid less than the value of his marginal social net product, and the beekeeper receives more than the value of his marginal social net product.

A finding echoed by Francis Bator:

If, then, apple producers are unable to protect their equity in apple-nectar and markets do not impute to apple blossoms their correct shadow value, profit-maximizing decisions will fail correctly to allocate resources at the margin. There will be failure “by enforcement.” This is what I would call an ownership externality. It is essentially Meade’s “unpaid factor” case.

It took more than 20 years and painstaking research by Steven Cheung to conclusively debunk these assertions. So how did economic agents overcome this “insurmountable” market failure?

The answer, it turns out, was extremely simple. While bees do fly where they please, the relative placement of beehives and orchards has a tremendous impact on both fruit and honey yields. This is partly because bees have a very limited mean foraging range (roughly 2-3km). This left economic agents with ample scope to prevent free-riding.

Using these natural sources of excludability, they built a web of complex agreements that internalize the symbiotic virtues of beehives and fruit orchards. To cite Steven Cheung’s research

Pollination contracts usually include stipulations regarding the number and strength of the colonies, the rental fee per hive, the time of delivery and removal of hives, the protection of bees from pesticide sprays, and the strategic placing of hives. Apiary lease contracts differ from pollination contracts in two essential aspects. One is, predictably, that the amount of apiary rent seldom depends on the number of colonies, since the farmer is interested only in obtaining the rent per apiary offered by the highest bidder. Second, the amount of apiary rent is not necessarily fixed. Paid mostly in honey, it may vary according to either the current honey yield or the honey yield of the preceding year.

But what of neighboring orchards? Wouldn’t these entail a more complex externality (i.e., could one orchard free-ride on agreements concluded between other orchards and neighboring apiaries)? Apparently not:

Acknowledging the complication, beekeepers and farmers are quick to point out that a social rule, or custom of the orchards, takes the place of explicit contracting: during the pollination period the owner of an orchard either keeps bees himself or hires as many hives per area as are employed in neighboring orchards of the same type. One failing to comply would be rated as a “bad neighbor,” it is said, and could expect a number of inconveniences imposed on him by other orchard owners. This customary matching of hive densities involves the exchange of gifts of the same kind, which apparently entails lower transaction costs than would be incurred under explicit contracting, where farmers would have to negotiate and make money payments to one another for the bee spillover.

In short, not only did the bee/orchard externality model fail, but it failed to account for extremely obvious counter-evidence. Even a rapid flip through the Yellow Pages (or, today, a search on Google) would have revealed a vibrant market for bee pollination. In short, the bee externalities, at least as presented in economic textbooks, were merely an economic “fable.” Unfortunately, they would not be the last.

The Lighthouse

Lighthouses provide another cautionary tale. Indeed, Henry Sidgwick, A.C. Pigou, John Stuart Mill, and Paul Samuelson all cited the externalities involved in the provision of lighthouse services as a source of market failure.

Here, too, the problem was allegedly straightforward. A lighthouse cannot prevent ships from free-riding on its services when they sail by it (i.e., it is mostly impossible to determine whether a ship has paid fees and to turn off the lighthouse if that is not the case). Hence there can be no efficient market for light dues (lighthouses were seen as a “public good”). As Paul Samuelson famously put it:

Take our earlier case of a lighthouse to warn against rocks. Its beam helps everyone in sight. A businessman could not build it for a profit, since he cannot claim a price from each user. This certainly is the kind of activity that governments would naturally undertake.

He added that:

[E]ven if the operators were able—say, by radar reconnaissance—to claim a toll from every nearby user, that fact would not necessarily make it socially optimal for this service to be provided like a private good at a market-determined individual price. Why not? Because it costs society zero extra cost to let one extra ship use the service; hence any ships discouraged from those waters by the requirement to pay a positive price will represent a social economic loss—even if the price charged to all is no more than enough to pay the long-run expenses of the lighthouse.

More than a century after it was first mentioned in economics textbooks, Ronald Coase finally laid the lighthouse myth to rest—rebutting Samuelson’s second claim in the process.

What piece of evidence had eluded economists for all those years? As Coase observed, contemporary economists had somehow overlooked the fact that large parts of the British lighthouse system were privately operated, and had been for centuries:

[T]he right to operate a lighthouse and to levy tolls was granted to individuals by Acts of Parliament. The tolls were collected at the ports by agents (who might act for several lighthouses), who might be private individuals but were commonly customs officials. The toll varied with the lighthouse and ships paid a toll, varying with the size of the vessel, for each lighthouse passed. It was normally a rate per ton (say 1/4d or 1/2d) for each voyage. Later, books were published setting out the lighthouses passed on different voyages and the charges that would be made.

In other words, lighthouses used a simple physical feature to create “excludability” and prevent free-riding. The main reason ships require lighthouses is to avoid hitting rocks when they make their way to a port. By tying port fees and light dues, lighthouse owners—aided by mild government-enforced property rights—could easily earn a return on their investments, thus disproving the lighthouse free-riding myth.

Ultimately, this meant that a large share of the British lighthouse system was privately operated throughout the 19th century, and this share would presumably have been more pronounced if government-run “Trinity House” lighthouses had not crowded out private investment:

The position in 1820 was that there were 24 lighthouses operated by Trinity House and 22 by private individuals or organizations. But many of the Trinity House lighthouses had not been built originally by them but had been acquired by purchase or as the result of the expiration of a lease.

Of course, this system was not perfect. Some ships (notably foreign ones that did not dock in the United Kingdom) might free-ride on this arrangement. It also entailed some level of market power. The ability to charge light dues meant that prices were higher than the “socially optimal” baseline of zero (the marginal cost of providing light is close to zero). Though it is worth noting that tying port fees and light dues might also have decreased double marginalization, to the benefit of sailors.

Samuelson was particularly weary of this market power that went hand in hand with the private provision of public goods, including lighthouses:

Being able to limit a public good’s consumption does not make it a true-blue private good. For what, after all, are the true marginal costs of having one extra family tune in on the program? They are literally zero. Why then prevent any family which would receive positive pleasure from tuning in on the program from doing so?

However, as Coase explained, light fees represented only a tiny fraction of a ship’s costs. In practice, they were thus unlikely to affect market output meaningfully:

[W]hat is the gain which Samuelson sees as coming from this change in the way in which the lighthouse service is financed? It is that some ships which are now discouraged from making a voyage to Britain because of the light dues would in future do so. As it happens, the form of the toll and the exemptions mean that for most ships the number of voyages will not be affected by the fact that light dues are paid. There may be some ships somewhere which are laid up or broken up because of the light dues, but the number cannot be great, if indeed there are any ships in this category.

Samuelson’s critique also falls prey to the Nirvana Fallacy pointed out by Harold Demsetz: markets might not be perfect, but neither is government intervention. Market power and imperfect appropriability are the two (paradoxical) pitfalls of the first; “white elephants,” underinvestment, and lack of competition (and the information it generates) tend to stem from the latter.

Which of these solutions is superior, in each case, is an empirical question that early economists had simply failed to consider—assuming instead that market failure was systematic in markets that present prima facie externalities. In other words, models were taken as gospel without any circumspection about their relevance to real-world settings.

The Tragedy of the Commons

Externalities were also said to undermine the efficient use of “common pool resources,” such grazing lands, common irrigation systems, and fisheries—resources where one agent’s use diminishes that of others, and where exclusion is either difficult or impossible.

The most famous formulation of this problem is Garret Hardin’s highly influential (over 47,000 cites) “tragedy of the commons.” Hardin cited the example of multiple herdsmen occupying the same grazing ground:

The rational herdsman concludes that the only sensible course for him to pursue is to add another animal to his herd. And another; and another … But this is the conclusion reached by each and every rational herdsman sharing a commons. Therein is the tragedy. Each man is locked into a system that compels him to increase his herd without limit—in a world that is limited. Ruin is the destination toward which all men rush, each pursuing his own best interest in a society that believes in the freedom of the commons.

In more technical terms, each economic agent purportedly exerts an unpriced negative externality on the others, thus leading to the premature depletion of common pool resources. Hardin extended this reasoning to other problems, such as pollution and allegations of global overpopulation.

Although Hardin hardly documented any real-world occurrences of this so-called tragedy, his policy prescriptions were unequivocal:

The most important aspect of necessity that we must now recognize, is the necessity of abandoning the commons in breeding. No technical solution can rescue us from the misery of overpopulation. Freedom to breed will bring ruin to all.

As with many other theoretical externalities, empirical scrutiny revealed that these fears were greatly overblown. In her Nobel-winning work, Elinor Ostrom showed that economic agents often found ways to mitigate these potential externalities markedly. For example, mountain villages often implement rules and norms that limit the use of grazing grounds and wooded areas. Likewise, landowners across the world often set up “irrigation communities” that prevent agents from overusing water.

Along similar lines, Julian Morris and I conjecture that informal arrangements and reputational effects might mitigate opportunistic behavior in the standard essential patent industry.

These bottom-up solutions are certainly not perfect. Many common institutions fail—for example, Elinor Ostrom documents several problematic fisheries, groundwater basins and forests, although it is worth noting that government intervention was sometimes behind these failures. To cite but one example:

Several scholars have documented what occurred when the Government of Nepal passed the “Private Forest Nationalization Act” […]. Whereas the law was officially proclaimed to “protect, manage and conserve the forest for the benefit of the entire country”, it actually disrupted previously established communal control over the local forests. Messerschmidt (1986, p.458) reports what happened immediately after the law came into effect:

Nepalese villagers began freeriding — systematically overexploiting their forest resources on a large scale.

In any case, the question is not so much whether private institutions fail, but whether they do so more often than government intervention. be it regulation or property rights. In short, the “tragedy of the commons” is ultimately an empirical question: what works better in each case, government intervention, propertization, or emergent rules and norms?

More broadly, the key lesson is that it is wrong to blindly apply models while ignoring real-world outcomes. As Elinor Ostrom herself put it:

The intellectual trap in relying entirely on models to provide the foundation for policy analysis is that scholars then presume that they are omniscient observers able to comprehend the essentials of how complex, dynamic systems work by creating stylized descriptions of some aspects of those systems.

Dvorak Keyboards

In 1985, Paul David published an influential paper arguing that market failures undermined competition between the QWERTY and Dvorak keyboard layouts. This version of history then became a dominant narrative in the field of network economics, including works by Joseph Farrell & Garth Saloner, and Jean Tirole.

The basic claim was that QWERTY users’ reluctance to switch toward the putatively superior Dvorak layout exerted a negative externality on the rest of the ecosystem (and a positive externality on other QWERTY users), thus preventing the adoption of a more efficient standard. As Paul David put it:

Although the initial lead acquired by QWERTY through its association with the Remington was quantitatively very slender, when magnified by expectations it may well have been quite sufficient to guarantee that the industry eventually would lock in to a de facto QWERTY standard. […]

Competition in the absence of perfect futures markets drove the industry prematurely into standardization on the wrong system — where decentralized decision making subsequently has sufficed to hold it.

Unfortunately, many of the above papers paid little to no attention to actual market conditions in the typewriter and keyboard layout industries. Years later, Stan Liebowitz and Stephen Margolis undertook a detailed analysis of the keyboard layout market. They almost entirely rejected any notion that QWERTY prevailed despite it being the inferior standard:

Yet there are many aspects of the QWERTY-versus-Dvorak fable that do not survive scrutiny. First, the claim that Dvorak is a better keyboard is supported only by evidence that is both scant and suspect. Second, studies in the ergonomics literature find no significant advantage for Dvorak that can be deemed scientifically reliable. Third, the competition among producers of typewriters, out of which the standard emerged, was far more vigorous than is commonly reported. Fourth, there were far more typing contests than just the single Cincinnati contest. These contests provided ample opportunity to demonstrate the superiority of alternative keyboard arrangements. That QWERTY survived significant challenges early in the history of typewriting demonstrates that it is at least among the reasonably fit, even if not the fittest that can be imagined.

In short, there was little to no evidence supporting the view that QWERTY inefficiently prevailed because of network effects. The falsification of this narrative also weakens broader claims that network effects systematically lead to either excess momentum or excess inertia in standardization. Indeed, it is tempting to characterize all network industries with heavily skewed market shares as resulting from market failure. Yet the QWERTY/Dvorak story suggests that such a conclusion would be premature.

Killzones, Zoom, and TikTok

If you are still reading at this point, you might think that contemporary scholars would know better than to base calls for policy intervention on theoretical externalities. Alas, nothing could be further from the truth.

For instance, a recent paper by Sai Kamepalli, Raghuram Rajan and Luigi Zingales conjectures that the interplay between mergers and network externalities discourages the adoption of superior independent platforms:

If techies expect two platforms to merge, they will be reluctant to pay the switching costs and adopt the new platform early on, unless the new platform significantly outperforms the incumbent one. After all, they know that if the entering platform’s technology is a net improvement over the existing technology, it will be adopted by the incumbent after merger, with new features melded with old features so that the techies’ adjustment costs are minimized. Thus, the prospect of a merger will dissuade many techies from trying the new technology.

Although this key behavioral assumption drives the results of the theoretical model, the paper presents no evidence to support the contention that it occurs in real-world settings. Admittedly, the paper does present evidence of reduced venture capital investments after mergers involving large tech firms. But even on their own terms, this data simply does not support the authors’ behavioral assumption.

And this is no isolated example. Over the past couple of years, several scholars have called for more muscular antitrust intervention in networked industries. A common theme is that network externalities, switching costs, and data-related increasing returns to scale lead to inefficient consumer lock-in, thus raising barriers to entry for potential rivals (here, here, here).

But there are also countless counterexamples, where firms have easily overcome potential barriers to entry and network externalities, ultimately disrupting incumbents.

Zoom is one of the most salient instances. As I have written previously:

To get to where it is today, Zoom had to compete against long-established firms with vast client bases and far deeper pockets. These include the likes of Microsoft, Cisco, and Google. Further complicating matters, the video communications market exhibits some prima facie traits that are typically associated with the existence of network effects.

Along similar lines, Geoffrey Manne and Alec Stapp have put forward a multitude of other examples. These include: The demise of Yahoo; the disruption of early instant-messaging applications and websites; MySpace’s rapid decline; etc. In all these cases, outcomes do not match the predictions of theoretical models.

More recently, TikTok’s rapid rise offers perhaps the greatest example of a potentially superior social-networking platform taking significant market share away from incumbents. According to the Financial Times, TikTok’s video-sharing capabilities and its powerful algorithm are the most likely explanations for its success.

While these developments certainly do not disprove network effects theory, they eviscerate the common belief in antitrust circles that superior rivals are unable to overthrow incumbents in digital markets. Of course, this will not always be the case. As in the previous examples, the question is ultimately one of comparing institutions—i.e., do markets lead to more or fewer error costs than government intervention? Yet this question is systematically omitted from most policy discussions.

In Conclusion

My argument is not that models are without value. To the contrary, framing problems in economic terms—and simplifying them in ways that make them cognizable—enables scholars and policymakers to better understand where market failures might arise, and how these problems can be anticipated and solved by private actors. In other words, models alone cannot tell us that markets will fail, but they can direct inquiries and help us to understand why firms behave the way they do, and why markets (including digital ones) are organized in a given way.

In that respect, both the theoretical and empirical research cited throughout this post offer valuable insights for today’s policymakers.

For a start, as Ronald Coase famously argued in what is perhaps his most famous work, externalities (and market failure more generally) are a function of transaction costs. When these are low (relative to the value of a good), market failures are unlikely. This is perhaps clearest in the “Fable of the Bees” example. Given bees’ short foraging range, there were ultimately few real-world obstacles to writing contracts that internalized the mutual benefits of bees and orchards.

Perhaps more importantly, economic research sheds light on behavior that might otherwise be seen as anticompetitive. The rules and norms that bind farming/beekeeping communities, as well as users of common pool resources, could easily be analyzed as a cartel by naïve antitrust authorities. Yet externality theory suggests they play a key role in preventing market failure.

Along similar lines, mergers and acquisitions (as well as vertical integration, more generally) can reduce opportunism and other externalities that might otherwise undermine collaboration between firms (here, here and here). And much of the same is true for certain types of unilateral behavior. Tying video games to consoles (and pricing the console below cost) can help entrants overcome network externalities that might otherwise shield incumbents. Likewise, Google tying its proprietary apps to the open source Android operating system arguably enabled it to earn a return on its investments, thus overcoming the externality problem that plagues open source software.

All of this raises a tantalizing prospect that deserves far more attention than it is currently given in policy circles: authorities around the world are seeking to regulate the tech space. Draft legislation has notably been tabled in the United States, European Union and the United Kingdom. These draft bills would all make it harder for large tech firms to implement various economic hierarchies, including mergers and certain contractual arrangements.

This is highly paradoxical. If digital markets are indeed plagued by network externalities and high transaction costs, as critics allege, then preventing firms from adopting complex hierarchies—which have traditionally been seen as a way to solve externalities—is just as likely to exacerbate problems. In other words, like the economists of old cited above, today’s policymakers appear to be focusing too heavily on simple models that predict market failure, and far too little on the mechanisms that firms have put in place to thrive within this complex environment.

The bigger picture is that far more circumspection is required when using theoretical models in real-world policy settings. Indeed, as Harold Demsetz famously put it, the purpose of normative economics is not so much to identify market failures, but to help policymakers determine which of several alternative institutions will deliver the best outcomes for consumers:

This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements. In practice, those who adopt the nirvana viewpoint seek to discover discrepancies between the ideal and the real and if discrepancies are found, they deduce that the real is inefficient. Users of the comparative institution approach attempt to assess which alternative real institutional arrangement seems best able to cope with the economic problem […].

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.

Democratic leadership of the House Judiciary Committee have leaked the approach they plan to take to revise U.S. antitrust law and enforcement, with a particular focus on digital platforms. 

Broadly speaking, the bills would: raise fees for larger mergers and increase appropriations to the FTC and DOJ; require data portability and interoperability; declare that large platforms can’t own businesses that compete with other businesses that use the platform; effectively ban large platforms from making any acquisitions; and generally declare that large platforms cannot preference their own products or services. 

All of these are ideas that have been discussed before. They are very much in line with the EU’s approach to competition, which places more regulation-like burdens on big businesses, and which is introducing a Digital Markets Act that mirrors the Democrats’ proposals. Some Republicans are reportedly supportive of the proposals, which is surprising since they mean giving broad, discretionary powers to antitrust authorities that are controlled by Democrats who take an expansive view of antitrust enforcement as a way to achieve their other social and political goals. The proposals may also be unpopular with consumers if, for example, they would mean that popular features like integrating Maps into relevant Google Search results becomes prohibited.

The multi-bill approach here suggests that the committee is trying to throw as much at the wall as possible to see what sticks. It may reflect a lack of confidence among the proposers in their ability to get their proposals through wholesale, especially given that Amy Klobuchar’s CALERA bill in the Senate creates an alternative that, while still highly interventionist, does not create ex ante regulation of the Internet the same way these proposals do.

In general, the bills are misguided for three main reasons. 

One, they seek to make digital platforms into narrow conduits for other firms to operate on, ignoring the value created by platforms curating their own services by, for example, creating quality controls on entry (as Apple does on its App Store) or by integrating their services with related products (like, say, Google adding events from Gmail to users’ Google Calendars). 

Two, they ignore the procompetitive effects of digital platforms extending into each other’s markets and competing with each other there, in ways that often lead to far more intense competition—and better outcomes for consumers—than if the only firms that could compete with the incumbent platform were small startups.

Three, they ignore the importance of incentives for innovation. Platforms invest in new and better products when they can make money from doing so, and limiting their ability to do that means weakened incentives to innovate. Startups and their founders and investors are driven, in part, by the prospect of being acquired, often by the platforms themselves. Making those acquisitions more difficult, or even impossible, means removing one of the key ways startup founders can exit their firms, and hence one of the key rewards and incentives for starting an innovative new business. 

For more, our “Joint Submission of Antitrust Economists, Legal Scholars, and Practitioners” set out why many of the House Democrats’ assumptions about the state of the economy and antitrust enforcement were mistaken. And my post, “Buck’s “Third Way”: A Different Road to the Same Destination”, argued that House Republicans like Ken Buck were misguided in believing they could support some of the proposals and avoid the massive regulatory oversight that they said they rejected.

Platform Anti-Monopoly Act 

The flagship bill, introduced by Antitrust Subcommittee Chairman David Cicilline (D-R.I.), establishes a definition of “covered platform” used by several of the other bills. The measures would apply to platforms with at least 500,000 U.S.-based users, a market capitalization of more than $600 billion, and that is deemed a “critical trading partner” with the ability to restrict or impede the access that a “dependent business” has to its users or customers.

Cicilline’s bill would bar these covered platforms from being able to promote their own products and services over the products and services of competitors who use the platform. It also defines a number of other practices that would be regarded as discriminatory, including: 

  • Restricting or impeding “dependent businesses” from being able to access the platform or its software on the same terms as the platform’s own lines of business;
  • Conditioning access or status on purchasing other products or services from the platform; 
  • Using user data to support the platform’s own products in ways not extended to competitors; 
  • Restricting the platform’s commercial users from using or accessing data generated on the platform from their own customers;
  • Restricting platform users from uninstalling software pre-installed on the platform;
  • Restricting platform users from providing links to facilitate business off of the platform;
  • Preferencing the platform’s own products or services in search results or rankings;
  • Interfering with how a dependent business prices its products; 
  • Impeding a dependent business’ users from connecting to services or products that compete with those offered by the platform; and
  • Retaliating against users who raise concerns with law enforcement about potential violations of the act.

On a basic level, these would prohibit lots of behavior that is benign and that can improve the quality of digital services for users. Apple pre-installing a Weather app on the iPhone would, for example, run afoul of these rules, and the rules as proposed could prohibit iPhones from coming with pre-installed apps at all. Instead, users would have to manually download each app themselves, if indeed Apple was allowed to include the App Store itself pre-installed on the iPhone, given that this competes with other would-be app stores.

Apart from the obvious reduction in the quality of services and convenience for users that this would involve, this kind of conduct (known as “self-preferencing”) is usually procompetitive. For example, self-preferencing allows platforms to compete with one another by using their strength in one market to enter a different one; Google’s Shopping results in the Search page increase the competition that Amazon faces, because it presents consumers with a convenient alternative when they’re shopping online for products. Similarly, Amazon’s purchase of the video-game streaming service Twitch, and the self-preferencing it does to encourage Amazon customers to use Twitch and support content creators on that platform, strengthens the competition that rivals like YouTube face. 

It also helps innovation, because it gives firms a reason to invest in services that would otherwise be unprofitable for them. Google invests in Android, and gives much of it away for free, because it can bundle Google Search into the OS, and make money from that. If Google could not self-preference Google Search on Android, the open source business model simply wouldn’t work—it wouldn’t be able to make money from Android, and would have to charge for it in other ways that may be less profitable and hence give it less reason to invest in the operating system. 

This behavior can also increase innovation by the competitors of these companies, both by prompting them to improve their products (as, for example, Google Android did with Microsoft’s mobile operating system offerings) and by growing the size of the customer base for products of this kind. For example, video games published by console manufacturers (like Nintendo’s Zelda and Mario games) are often blockbusters that grow the overall size of the user base for the consoles, increasing demand for third-party titles as well.

For more, check out “Against the Vertical Discrimination Presumption” by Geoffrey Manne and Dirk Auer’s piece “On the Origin of Platforms: An Evolutionary Perspective”.

Ending Platform Monopolies Act 

Sponsored by Rep. Pramila Jayapal (D-Wash.), this bill would make it illegal for covered platforms to control lines of business that pose “irreconcilable conflicts of interest,” enforced through civil litigation powers granted to the Federal Trade Commission (FTC) and the U.S. Justice Department (DOJ).

Specifically, the bill targets lines of business that create “a substantial incentive” for the platform to advantage its own products or services over those of competitors that use the platform, or to exclude or disadvantage competing businesses from using the platform. The FTC and DOJ could potentially order that platforms divest lines of business that violate the act.

This targets similar conduct as the previous bill, but involves the forced separation of different lines of business. It also appears to go even further, seemingly implying that companies like Google could not even develop services like Google Maps or Chrome because their existence would create such “substantial incentives” to self-preference them over the products of their competitors. 

Apart from the straightforward loss of innovation and product developments this would involve, requiring every tech company to be narrowly focused on a single line of business would substantially entrench Big Tech incumbents, because it would make it impossible for them to extend into adjacent markets to compete with one another. For example, Apple could not develop a search engine to compete with Google under these rules, and Amazon would be forced to sell its video-streaming services that compete with Netflix and Youtube.

For more, check out Geoffrey Manne’s written testimony to the House Antitrust Subcommittee and “Platform Self-Preferencing Can Be Good for Consumers and Even Competitors” by Geoffrey and me. 

Platform Competition and Opportunity Act

Introduced by Rep. Hakeem Jeffries (D-N.Y.), this bill would bar covered platforms from making essentially any acquisitions at all. To be excluded from the ban on acquisitions, the platform would have to present “clear and convincing evidence” that the acquired business does not compete with the platform for any product or service, does not pose a potential competitive threat to the platform, and would not in any way enhance or help maintain the acquiring platform’s market position. 

The two main ways that founders and investors can make a return on a successful startup are to float the company at IPO or to be acquired by another business. The latter of these, acquisitions, is extremely important. Between 2008 and 2019, 90 percent of U.S. start-up exits happened through acquisition. In a recent survey, half of current startup executives said they aimed to be acquired. One study found that countries that made it easier for firms to be taken over saw a 40-50 percent increase in VC activity, and that U.S. states that made acquisitions harder saw a 27 percent decrease in VC investment deals

So this proposal would probably reduce investment in U.S. startups, since it makes it more difficult for them to be acquired. It would therefore reduce innovation as a result. It would also reduce inter-platform competition by banning deals that allow firms to move into new markets, like the acquisition of Beats that helped Apple to build a Spotify competitor, or the deals that helped Google, Microsoft, and Amazon build cloud-computing services that all compete with each other. It could also reduce competition faced by old industries, by preventing tech companies from buying firms that enable it to move into new markets—like Amazon’s acquisitions of health-care companies that it has used to build a health-care offering. Even Walmart’s acquisition of Jet.com, which it has used to build an Amazon competitor, could have been banned under this law if Walmart had had a higher market cap at the time.

For more, check out Dirk Auer’s piece “Facebook and the Pros and Cons of Ex Post Merger Reviews” and my piece “Cracking down on mergers would leave us all worse off”. 

ACCESS Act

The Augmenting Compatibility and Competition by Enabling Service Switching (ACCESS) Act, sponsored by Rep. Mary Gay Scanlon (D-Pa.), would establish data portability and interoperability requirements for platforms. 

Under terms of the legislation, covered platforms would be required to allow third parties to transfer data to their users or, with the user’s consent, to a competing business. It also would require platforms to facilitate compatible and interoperable communications with competing businesses. The law directs the FTC to establish technical committees to promulgate the standards for portability and interoperability. 

Data portability and interoperability involve trade-offs in terms of security and usability, and overseeing them can be extremely costly and difficult. In security terms, interoperability requirements prevent companies from using closed systems to protect users from hostile third parties. Mandatory openness means increasing—sometimes, substantially so—the risk of data breaches and leaks. In practice, that could mean users’ private messages or photos being leaked more frequently, or activity on a social media page that a user considers to be “their” private data, but that “belongs” to another user under the terms of use, can be exported and publicized as such. 

It can also make digital services more buggy and unreliable, by requiring that they are built in a more “open” way that may be more prone to unanticipated software mismatches. A good example is that of Windows vs iOS; Windows is far more interoperable with third-party software than iOS is, but tends to be less stable as a result, and users often prefer the closed, stable system. 

Interoperability requirements also entail ongoing regulatory oversight, to make sure data is being provided to third parties reliably. It’s difficult to build an app around another company’s data without assurance that the data will be available when users want it. For a requirement as broad as this bill’s, that could mean setting up quite a large new de facto regulator. 

In the UK, Open Banking (an interoperability requirement imposed on British retail banks) has suffered from significant service outages, and targets a level of uptime that many developers complain is too low for them to build products around. Nor has Open Banking yet led to any obvious competition benefits.

For more, check out Gus Hurwitz’s piece “Portable Social Media Aren’t Like Portable Phone Numbers” and my piece “Why Data Interoperability Is Harder Than It Looks: The Open Banking Experience”.

Merger Filing Fee Modernization Act

A bill that mirrors language in the Endless Frontier Act recently passed by the U.S. Senate, would significantly raise filing fees for the largest mergers. Rather than the current cap of $280,000 for mergers valued at more than $500 million, the bill—sponsored by Rep. Joe Neguse (D-Colo.)–the new schedule would assess fees of $2.25 million for mergers valued at more than $5 billion; $800,000 for those valued at between $2 billion and $5 billion; and $400,000 for those between $1 billion and $2 billion.

Smaller mergers would actually see their filing fees cut: from $280,000 to $250,000 for those between $500 million and $1 billion; from $125,000 to $100,000 for those between $161.5 million and $500 million; and from $45,000 to $30,000 for those less than $161.5 million. 

In addition, the bill would appropriate $418 million to the FTC and $252 million to the DOJ’s Antitrust Division for Fiscal Year 2022. Most people in the antitrust world are generally supportive of more funding for the FTC and DOJ, although whether this is actually good or not depends both on how it’s spent at those places. 

It’s hard to object if it goes towards deepening the agencies’ capacities and knowledge, by hiring and retaining higher quality staff with salaries that are more competitive with those offered by the private sector, and on greater efforts to study the effects of the antitrust laws and past cases on the economy. If it goes toward broadening the activities of the agencies, by doing more and enabling them to pursue a more aggressive enforcement agenda, and supporting whatever of the above proposals make it into law, then it could be very harmful. 

For more, check out my post “Buck’s “Third Way”: A Different Road to the Same Destination” and Thom Lambert’s post “Bad Blood at the FTC”.

Bad Blood at the FTC

Thom Lambert —  9 June 2021

John Carreyrou’s marvelous book Bad Blood chronicles the rise and fall of Theranos, the one-time Silicon Valley darling that was revealed to be a house of cards.[1] Theranos’s Svengali-like founder, Elizabeth Holmes, convinced scores of savvy business people (mainly older men) that her company was developing a machine that could detect all manner of maladies from a small quantity of a patient’s blood. Turns out it was a fraud. 

I had a couple of recurring thoughts as I read Bad Blood. First, I kept thinking about how Holmes’s fraud might impair future medical innovation. Something like Theranos’s machine would eventually be developed, I figured, but Holmes’s fraud would likely set things back by making investors leery of blood-based, multi-disease diagnostics.

I also had a thought about the causes of Theranos’s spectacular failure. A key problem, it seemed, was that the company tried to do too many things at once: develop diagnostic technologies, design an elegant machine (Holmes was obsessed with Steve Jobs and insisted that Theranos’s machine resemble a sleek Apple device), market the product, obtain regulatory approval, scale the operation by getting Theranos machines in retail chains like Safeway and Walgreens, and secure third-party payment from insurers.

A thought that didn’t occur to me while reading Bad Blood was that a multi-disease blood diagnostic system would soon be developed but would be delayed, or possibly even precluded from getting to market, by an antitrust enforcement action based on things the developers did to avoid the very problems that doomed Theranos. 

Sadly, that’s where we are with the Federal Trade Commission’s misguided challenge to the merger of Illumina and Grail.

Founded in 1998, San Diego-based Illumina is a leading provider of products used in genetic sequencing and genomic analysis. Illumina produces “next generation sequencing” (NGS) platforms that are used for a wide array of applications (genetic tests, etc.) developed by itself and other companies.

In 2015, Illumina founded Grail for the purpose of developing a blood test that could detect cancer in asymptomatic individuals—the “holy grail” of cancer diagnosis. Given the superior efficacy and lower cost of treatments for early- versus late-stage cancers, success by Grail could save millions of lives and billions of dollars.

Illumina created Grail as a separate entity in which it initially held a controlling interest (having provided the bulk of Grail’s $100 million Series A funding). Legally separating Grail in this fashion, rather than running it as an Illumina division, offered a number of benefits. It limited Illumina’s liability for Grail’s activities, enabling Grail to take greater risks. It mitigated the Theranos problem of managers’ being distracted by too many tasks: Grail managers could concentrate exclusively on developing a viable cancer-screening test, while Illumina’s management continued focusing on that company’s core business. It made it easier for Grail to attract talented managers, who would rather come in as corporate officers than as division heads. (Indeed, Grail landed Jeff Huber, a high-profile Google executive, as its initial CEO.) Structuring Grail as a majority-owned subsidiary also allowed Illumina to attract outside capital, with the prospect of raising more money in the future by selling new Grail stock to investors.

In 2017, Grail did exactly that, issuing new shares to investors in exchange for $1 billion. While this capital infusion enabled the company to move forward with its promising technologies, the creation of new shares meant that Illumina no longer held a controlling interest in the firm. Its ownership interest dipped below 20 percent and now stands at about 14.5 percent of Grail’s voting shares.  

Setting up Grail so as to facilitate outside capital formation and attract top managers who could focus single-mindedly on product development has paid off. Grail has now developed a blood test that, when processed on Illumina’s NGS platform, can accurately detect a number of cancers in asymptomatic individuals. Grail predicts that this “liquid biopsy,” called Galleri, will eventually be able to detect up to 50 cancers before physical symptoms manifest. Grail is also developing other blood-based cancer tests, including one that confirms cancer diagnoses in patients suspected to have cancer and another designed to detect cancer recurrence in patients who have undergone treatment.

Grail now faces a host of new challenges. In addition to continuing to develop its tests, Grail needs to:  

  • Engage in widespread testing of its cancer-detection products on up to 50 different cancers;
  • Process and present the information from its extensive testing in formats that will be acceptable to regulators;
  • Navigate the pre-market regulatory approval process in different countries across the globe;
  • Secure commitments from third-party payors (governments and private insurers) to provide coverage for its tests;
  • Develop means of manufacturing its products at scale;
  • Create and implement measures to ensure compliance with FDA’s Quality System Regulation (QSR), which governs virtually all aspects of medical device production (design, testing, production, process controls, quality assurance, labeling, packaging, handling, storage, distribution, installation, servicing, and shipping); and
  • Market its tests to hospitals and health-care professionals.

These steps are all required to secure widespread use of Grail’s tests. And, importantly, such widespread use will actually improve the quality of the tests. Grail’s tests analyze the DNA in a patient’s blood to look for methylation patterns that are known to be associated with cancer. In essence, the tests work by comparing the methylation patterns in a test subject’s DNA against a database of genomic data collected from large clinical studies. With enough comparison data, the tests can indicate not only the presence of cancer but also where in the body the cancer signal is coming from. And because Grail’s tests use machine learning to hone their algorithms in response to new data collected from test usage, the greater the use of Grail’s tests, the more accurate, sensitive, and comprehensive they become.     

To assist with the various tasks needed to achieve speedy and widespread use of its tests, Grail decided to reunite with Illumina. In September 2020, the companies entered a merger agreement under which Illumina would acquire the 85.5 percent of Grail voting shares it does not already own for cash and stock worth $7.1 billion and additional contingent payments of $1.2 billion to Grail’s non-Illumina shareholders.

Recombining with Illumina will allow Grail—which has appropriately focused heretofore solely on product development—to accomplish the tasks now required to get its tests to market. Illumina has substantial laboratory capacity that Grail can access to complete the testing needed to refine its products and establish their effectiveness. As the leading global producer of NGS platforms, Illumina has unparalleled experience in navigating the regulatory process for NGS-related products, producing and marketing those products at scale, and maintaining compliance with complex regulations like FDA’s QSR. With nearly 3,000 international employees located in 26 countries, it has obtained regulatory authorizations for NGS-based tests in more than 50 jurisdictions around the world.  It also has long-standing relationships with third-party payors, health systems, and laboratory customers. Grail, by contrast, has never obtained FDA approval for any products, has never manufactured NGS-based tests at scale, has only a fledgling regulatory affairs team, and has far less extensive contacts with potential payors and customers. By remaining focused on its key objective (unlike Theranos), Grail has achieved product-development success. Recombining with Illumina will now enable it, expeditiously and efficiently, to deploy its products across the globe, generating user data that will help improve the products going forward.

In addition to these benefits, the combination of Illumina and Grail will eliminate a problem that occurs when producers of complementary products each operate in markets that are not fully competitive: double marginalization. When sellers of products that are used together each possess some market power due to a lack of competition, their uncoordinated pricing decisions may result in less surplus for each of them and for consumers of their products. Combining so that they can coordinate pricing will leave them and their customers better off.

Unlike a producer participating in a competitive market, a producer that faces little competition can enhance its profits by raising its price above its incremental cost.[2] But there are limits on its ability to do so. As the well-known monopoly pricing model shows, even a monopolist has a “profit-maximizing price” beyond which any incremental price increase would lose money.[3] Raising price above that level would hurt both consumers and the monopolist.

When consumers are deciding whether to purchase products that must be used together, they assess the final price of the overall bundle. This means that when two sellers of complementary products both have market power, there is an above-cost, profit-maximizing combined price for their products. If the complement sellers individually raise their prices so that the combined price exceeds that level, they will reduce their own aggregate welfare and that of their customers.

This unfortunate situation is likely to occur when market power-possessing complement producers are separate companies that cannot coordinate their pricing. In setting its individual price, each separate firm will attempt to capture as much surplus for itself as possible. This will cause the combined price to rise above the profit-maximizing level. If they could unite, the complement sellers would coordinate their prices so that the combined price was lower and the sellers’ aggregate profits higher.

Here, Grail and Illumina provide complementary products (cancer-detection tests and the NGS platforms on which they are processed), and each faces little competition. If they price separately, their aggregate prices are likely to exceed the profit-maximizing combined price for the cancer test and NGS platform access. If they combine into a single firm, that firm would maximize its profits by lowering prices so that the aggregate test/platform price is the profit-maximizing combined price.  This would obviously benefit consumers.

In light of the social benefits the Grail/Illumina merger offers—speeding up and lowering the cost of getting Grail’s test approved and deployed at scale, enabling improvement of the test with more extensive user data, eliminating double marginalization—one might expect policymakers to cheer the companies’ recombination. The FTC, however, is trying to block it.  In late March, the commission brought an action claiming that the merger would violate Section 7 of the Clayton Act by substantially reducing competition in a line of commerce.

The FTC’s theory is that recombining Illumina and Grail will impair competition in the market for “multi-cancer early detection” (MCED) tests. The commission asserts that the combined company would have both the opportunity and the motivation to injure rival producers of MCED tests.

The opportunity to do so would stem from the fact that MCED tests must be processed on NGS platforms, which are produced exclusively by Illumina. Illumina could charge Grail’s rivals or their customers higher prices for access to its NGS platforms (or perhaps deny access altogether) and could withhold the technical assistance rivals would need to secure both regulatory approval of their tests and coverage by third-party payors.

But why would Illumina take this tack, given that it would be giving up profits on transactions with producers and users of other MCED tests? The commission asserts that the losses a combined Illumina/Grail would suffer in the NGS platform market would be more than offset by gains stemming from reduced competition in the MCED test market. Thus, the combined company would have a motive, as well as an opportunity, to cause anticompetitive harm.

There are multiple problems with the FTC’s theory. As an initial matter, the market the commission claims will be impaired doesn’t exist. There is no MCED test market for the simple reason that there are no commercializable MCED tests. If allowed to proceed, the Illumina/Grail merger may create such a market by facilitating the approval and deployment of the first MCED test. At present, however, there is no such market, and the chances of one ever emerging will be diminished if the FTC succeeds in blocking the recombination of Illumina and Grail.

Because there is no existing market for MCED tests, the FTC’s claim that a combined Illumina/Grail would have a motivation to injure MCED rivals—potential consumers of Illumina’s NGS platforms—is rank speculation. The commission has no idea what profits Illumina would earn from NGS platform sales related to MCED tests, what profits Grail would earn on its own MCED tests, and how the total profits of the combined company would be affected by impairing opportunities for rival MCED test producers.

In the only relevant market that does exist—the cancer-detection market—there can be no question about the competitive effect of an Illumina/Grail merger: It would enhance competition by speeding the creation of a far superior offering that promises to save lives and substantially reduce health-care costs. 

There is yet another problem with the FTC’s theory of anticompetitive harm. The commission’s concern that a recombined Illumina/Grail would foreclose Grail’s rivals from essential NGS platforms and needed technical assistance is obviated by Illumina’s commitments. Specifically, Illumina has irrevocably offered current and prospective oncology customers 12-year contract terms that would guarantee them the same access to Illumina’s sequencing products that they now enjoy, with no price increase. Indeed, the offered terms obligate Illumina not only to refrain from raising prices but also to lower them by at least 43% by 2025 and to provide regulatory and technical assistance requested by Grail’s potential rivals. Illumina’s continued compliance with its firm offer will be subject to regular audits by an independent auditor.

In the end, then, the FTC’s challenge to the Illumina/Grail merger is unjustified. The initial separation of Grail from Illumina encouraged the managerial focus and capital accumulation needed for successful test development. Recombining the two firms will now expedite and lower the costs of the regulatory approval and commercialization processes, permitting Grail’s tests to be widely used, which will enhance their quality. Bringing Grail’s tests and Illumina’s NGS platforms within a single company will also benefit consumers by eliminating double marginalization. Any foreclosure concerns are entirely speculative and are obviated by Illumina’s contractual commitments.

In light of all these considerations, one wonders why the FTC challenged this merger (and on a 4-0 vote) in the first place. Perhaps it was the populist forces from left and right that are pressuring the commission to generally be more aggressive in policing mergers. Some members of the commission may also worry, legitimately, that if they don’t act aggressively on a vertical merger, Congress will amend the antitrust laws in a deleterious fashion. But the commission has picked a poor target. This particular merger promises tremendous benefit and threatens little harm. The FTC should drop its challenge and encourage its European counterparts to do the same. 


[1] If you don’t have time for Carreyrou’s book (and you should make time if you can), HBO’s Theranos documentary is pretty solid.

[2] This ability is market power.  In a perfectly competitive market, any firm that charges an above-cost price will lose sales to rivals, who will vie for business by lowering their prices down to the level of their cost.

[3] Under the model, this is the price that emerges at the output level where the producer’s marginal revenue equals its marginal cost.