Archives For technology

[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. 

The Biden Administration’s July 9 Executive Order on Promoting Competition in the American Economy is very much a mixed bag—some positive aspects, but many negative ones.

It will have some positive effects on economic welfare, to the extent it succeeds in lifting artificial barriers to competition that harm consumers and workers—such as allowing direct sales of hearing aids in drug stores—and helping to eliminate unnecessary occupational licensing restrictions, to name just two of several examples.

But it will likely have substantial negative effects on economic welfare as well. Many aspects of the order appear to emphasize new regulation—such as Net Neutrality requirements that may reduce investment in broadband by internet service providers—and imposing new regulatory requirements on airlines, pharmaceutical companies, digital platforms, banks, railways, shipping, and meat packers, among others. Arbitrarily imposing new rules in these areas, without a cost-beneficial appraisal and a showing of a market failure, threatens to reduce innovation and slow economic growth, hurting producers and consumer. (A careful review of specific regulatory proposals may shed greater light on the justifications for particular regulations.)

Antitrust-related proposals to challenge previously cleared mergers, and to impose new antitrust rulemaking, are likely to raise costly business uncertainty, to the detriment of businesses and consumers. They are a recipe for slower economic growth, not for vibrant competition.

An underlying problem with the order is that it is based on the false premise that competition has diminished significantly in recent decades and that “big is bad.” Economic analysis found in the February 2020 Economic Report of the President, and in other economic studies, debunks this flawed assumption.

In short, the order commits the fundamental mistake of proposing intrusive regulatory solutions for a largely nonexistent problem. Competitive issues are best handled through traditional well-accepted antitrust analysis, which centers on promoting consumer welfare and on weighing procompetitive efficiencies against anticompetitive harm on a case-by-case basis. This approach:

  1. Deals effectively with serious competitive problems; while at the same time
  2. Cabining error costs by taking into account all economically relevant considerations on a case-specific basis.

Rather than using an executive order to direct very specific regulatory approaches without a strong economic and factual basis, the Biden administration would have been better served by raising a host of competitive issues that merit possible study and investigation by expert agencies. Such an approach would have avoided imposing the costs of unwarranted regulation that unfortunately are likely to stem from the new order.

Finally, the order’s call for new regulations and the elimination of various existing legal policies will spawn matter-specific legal challenges, and may, in many cases, not succeed in court. This will impose unnecessary business uncertainty in addition to public and private resources wasted on litigation.

President Joe Biden named his post-COVID-19 agenda “Build Back Better,” but his proposals to prioritize support for government-run broadband service “with less pressure to turn profits” and to “reduce Internet prices for all Americans” will slow broadband deployment and leave taxpayers with an enormous bill.

Policymakers should pay particular heed to this danger, amid news that the Senate is moving forward with considering a $1.2 trillion bipartisan infrastructure package, and that the Federal Communications Commission, the U.S. Commerce Department’s National Telecommunications and Information Administration, and the U.S. Agriculture Department’s Rural Utilities Service will coordinate on spending broadband subsidy dollars.

In order to ensure that broadband subsidies lead to greater buildout and adoption, policymakers must correctly understand the state of competition in broadband and not assume that increasing the number of firms in a market will necessarily lead to better outcomes for consumers or the public.

A recent white paper published by us here at the International Center for Law & Economics makes the case that concentration is a poor predictor of competitiveness, while offering alternative policies for reaching Americans who don’t have access to high-speed Internet service.

The data show that the state of competition in broadband is generally healthy. ISPs routinely invest billions of dollars per year in building, maintaining, and upgrading their networks to be faster, more reliable, and more available to consumers. FCC data show that average speeds available to consumers, as well as the number of competitors providing higher-speed tiers, have increased each year. And prices for broadband, as measured by price-per-Mbps, have fallen precipitously, dropping 98% over the last 20 years. None of this makes sense if the facile narrative about the absence of competition were true.

In our paper, we argue that the real public policy issue for broadband isn’t curbing the pursuit of profits or adopting price controls, but making sure Americans have broadband access and encouraging adoption. In areas where it is very costly to build out broadband networks, like rural areas, there tend to be fewer firms in the market. But having only one or two ISPs available is far less of a problem than having none at all. Understanding the underlying market conditions and how subsidies can both help and hurt the availability and adoption of broadband is an important prerequisite to good policy.

The basic problem is that those who have decried the lack of competition in broadband often look at the number of ISPs in a given market to determine whether a market is competitive. But this is not how economists think of competition. Instead, economists look at competition as a dynamic process where changes in supply and demand factors are constantly pushing the market toward new equilibria.

In general, where a market is “contestable”—that is, where existing firms face potential competition from the threat of new entry—even just a single existing firm may have to act as if it faces vigorous competition. Such markets often have characteristics (e.g., price, quality, and level of innovation) similar or even identical to those with multiple existing competitors. This dynamic competition, driven by changes in technology or consumer preferences, ensures that such markets are regularly disrupted by innovative products and services—a process that does not always favor incumbents.

Proposals focused on increasing the number of firms providing broadband can actually reduce consumer welfare. Whether through overbuilding—by allowing new private entrants to free-ride on the initial investment by incumbent companies—or by going into the Internet business itself through municipal broadband, government subsidies can increase the number of firms providing broadband. But it can’t do so without costs―which include not just the cost of the subsidies themselves, which ultimately come from taxpayers, but also the reduced incentives for unsubsidized private firms to build out broadband in the first place.

If underlying supply and demand conditions in rural areas lead to a situation where only one provider can profitably exist, artificially adding another completely reliant on subsidies will likely just lead to the exit of the unsubsidized provider. Or, where a community already has municipal broadband, it is unlikely that a private ISP will want to enter and compete with a firm that doesn’t have to turn a profit.

A much better alternative for policymakers is to increase the demand for buildout through targeted user subsidies, while reducing regulatory barriers to entry that limit supply.

For instance, policymakers should consider offering connectivity vouchers to unserved households in order to stimulate broadband deployment and consumption. Current subsidy programs rely largely on subsidizing the supply side, but this requires the government to determine the who and where of entry. Connectivity vouchers would put the choice in the hands of consumers, while encouraging more buildout to areas that may currently be uneconomic to reach due to low population density or insufficient demand due to low adoption rates.

Local governments could also facilitate broadband buildout by reducing unnecessary regulatory barriers. Local building codes could adopt more connection-friendly standards. Local governments could also reduce the cost of access to existing poles and other infrastructure. Eligible Telecommunications Carrier (ETC) requirements could also be eliminated, because they deter potential providers from seeking funds for buildout (and don’t offer countervailing benefits).

Albert Einstein once said: “if I were given one hour to save the planet, I would spend 59 minutes defining the problem, and one minute resolving it.” When it comes to encouraging broadband buildout, policymakers should make sure they are solving the right problem. The problem is that the cost of building out broadband to unserved areas is too high or the demand too low—not that there are too few competitors.

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”.

It’s a telecom tale as old as time: industry gets a prime slice of radio spectrum and falls in love with it, only to take it for granted. Then, faced with the reapportionment of that spectrum, it proceeds to fight tooth and nail (and law firm) to maintain the status quo. 

In that way, the decision by the Intelligent Transportation Society of America (ITSA) and the American Association of State Highway and Transportation Officials (AASHTO) to seek judicial review of the Federal Communications Commission’s (FCC) order reassigning the 5.9GHz band was right out of central casting. But rather than simply asserting that the FCC’s order was arbitrary, ITSA foreshadowed many of the arguments that it intends to make against the order. 

There are three arguments of note, and should ITSA win on the merits of any of those arguments, it would mark a significant departure from the way spectrum is managed in the United States.

First, ITSA asserts that the U.S. Department of Transportation (DOT), by virtue of its role as the nation’s transportation regulator, retains authority to regulate radio spectrum as it pertains to DOT programs, not the FCC. Of course, this notion is absurd on its face. Congress mandated that the FCC act as the exclusive regulator of non-federal uses of wireless. This leaves the FCC free to—in the words of the Communications Act—“encourage the provision of new technologies and services to the public” and to “provide to all Americans” the best communications networks possible. 

In contrast, other federal agencies with some amount of allocated spectrum each focus exclusively on a particular mission, without regard to the broader concerns of the country (including uses by sister agencies or the states). That’s why, rather than allocate the spectrum directly to DOT, the statute directs the FCC to consider allocating spectrum for Intelligent Transportation Systems and to establish the rules for their spectrum use. The statute directs the FCC to consult with the DOT, but leaves final decisions to the FCC.

Today’s crowded airwaves make it impossible to allocate spectrum for 5G, Wi-Fi 6, and other innovative uses without somehow impacting spectrum used by a federal agency. Accepting the ITSA position would fundamentally alter the FCC’s role relative to other agencies with an interest in the disposition of spectrum, rendering the FCC a vestigial regulatory backwater subject to non-expert veto. As a matter of policy, this would effectively prevent the United States from meeting the growing challenges of our exponentially increasing demand for wireless access. 

It would also put us at a tremendous disadvantage relative to other countries.  International coordination of wireless policy has become critical in the global economy, with our global supply chains and wireless equipment manufacturers dependent on global standards to drive economies of scale and interoperability around the globe. At the last World Radio Conference in 2019, interagency spectrum squabbling significantly undermined the U.S. negotiation efforts. If agencies actually had veto power over the FCC’s spectrum decisions, the United States would have no way to create a coherent negotiating position, let alone to advocate effectively for our national interests.   

Second, though relatedly, ITSA asserts that the FCC’s engineers failed to appropriately evaluate safety impacts and interference concerns. It’s hard to see how this could be the case, given both the massive engineering record and the FCC’s globally recognized expertise in spectrum. As a general rule, the FCC leads the world in spectrum engineering (there is a reason things like mobile service and Wi-Fi started in the United States). No other federal agency (including DOT) has such extensive, varied, and lengthy experience with interference analysis. This allows the FCC to develop broadly applicable standards to protect all emergency communications. Every emergency first responder relies on this expertise every day that they use wireless communications to save lives. Here again, we see the wisdom in Congress delegating to a single expert agency the task of finding the right balance to meet all our wireless public-safety needs.

Third, the petition ambitiously asks the court to set aside all parts of the order, with the exception of the one portion that ITSA likes: freeing the top 30MHz of the band for use by C-V2X on a permanent basis. Given their other arguments, this assertion strains credulity. Either the FCC makes the decisions, or the DOT does. Giving federal agencies veto power over FCC decisions would be bad enough. Allowing litigants to play federal agencies against each other so they can mix and match results would produce chaos and/or paralysis in spectrum policy.

In short, ITSA is asking the court to fundamentally redefine the scope of FCC authority to administer spectrum when other federal agencies are involved; to undermine deference owed to FCC experts; and to do all of this while also holding that the FCC was correct on the one part of the order with which the complainants agree. This would make future progress in wireless technology effectively impossible.

We don’t let individual states decide which side of the road to drive on, or whether red or some other color traffic light means stop, because traffic rules only work when everybody follows the same rules. Wireless policy can only work if one agency makes the rules. Congress says that agency is the FCC. The courts (and other agencies) need to remember that.

The European Commission recently issued a formal Statement of Objections (SO) in which it charges Apple with antitrust breach. In a nutshell, the commission argues that Apple prevents app developers—in this case, Spotify—from using alternative in-app purchase systems (IAPs) other than Apple’s own, or steering them towards other, cheaper payment methods on another site. This, the commission says, results in higher prices for consumers in the audio streaming and ebook/audiobook markets.

More broadly, the commission claims that Apple’s App Store rules may distort competition in markets where Apple competes with rival developers (such as how Apple Music competes with Spotify). This explains why the anticompetitive concerns raised by Spotify regarding the Apple App Store rules have now expanded to Apple’s e-books, audiobooks and mobile payments platforms.

However, underlying market realities cast doubt on the commission’s assessment. Indeed, competition from Google Play and other distribution mediums makes it difficult to state unequivocally that the relevant market should be limited to Apple products. Likewise, the conduct under investigation arguably solves several problems relating to platform dynamics, and consumers’ privacy and security.

Should the relevant market be narrowed to iOS?

An important first question is whether there is a distinct, antitrust-relevant market for “music streaming apps distributed through the Apple App Store,” as the EC posits.

This market definition is surprising, given that it is considerably narrower than the one suggested by even the most enforcement-minded scholars. For instance, Damien Geradin and Dimitrias Katsifis—lawyers for app developers opposed to Apple—define the market as “that of app distribution on iOS devices, a two-sided transaction market on which Apple has a de facto monopoly.” Similarly, a report by the Dutch competition authority declared that the relevant market was limited to the iOS App Store, due to the lack of interoperability with other systems.

The commission’s decisional practice has been anything but constant in this space. In the Apple/Shazam and Apple/Beats cases, it did not place competing mobile operating systems and app stores in separate relevant markets. Conversely, in the Google Android decision, the commission found that the Android OS and Apple’s iOS, including Google Play and Apple’s App Store, did not compete in the same relevant market. The Spotify SO seems to advocate for this definition, narrowing it even further to music streaming services.

However, this narrow definition raises several questions. Market definition is ultimately about identifying the competitive constraints that the firm under investigation faces. As Gregory Werden puts it: “the relevant market in an antitrust case […] identifies the competitive process alleged to be harmed.”

In that regard, there is clearly some competition between Apple’s App Store, Google Play and other app stores (whether this is sufficient to place them in the same relevant market is an empirical question).

This view is supported by the vast number of online posts comparing Android and Apple and advising consumers on their purchasing options. Moreover, the growth of high-end Android devices that compete more directly with the iPhone has reinforced competition between the two firms. Likewise, Apple has moved down the value chain; the iPhone SE, priced at $399, competes with other medium-range Android devices.

App developers have also suggested they view Apple and Android as alternatives. They take into account technical differences to decide between the two, meaning that these two platforms compete with each other for developers.

All of this suggests that the App Store may be part of a wider market for the distribution of apps and services, where Google Play and other app stores are included—though this is ultimately an empirical question (i.e., it depends on the degree of competition between both platforms)

If the market were defined this way, Apple would not even be close to holding a dominant position—a prerequisite for European competition intervention. Indeed, Apple only sold 27.43% of smartphones in March 2021. Similarly, only 30.41% of smartphones in use run iOS, as of March 2021. This is well below the lowest market share in a European abuse of dominance—39.7% in the British Airways decision.

The sense that Apple and Android compete for users and developers is reinforced by recent price movements. Apple dropped its App Store commission fees from 30% to 15% in November 2020 and Google followed suit in March 2021. This conduct is consistent with at least some degree of competition between the platforms. It is worth noting that other firms, notably Microsoft, have so far declined to follow suit (except for gaming apps).

Barring further evidence, neither Apple’s market share nor its behavior appear consistent with the commission’s narrow market definition.

Are Apple’s IAP system rules and anti-steering provisions abusive?

The commission’s case rests on the idea that Apple leverages its IAP system to raise the costs of rival app developers:

 “Apple’s rules distort competition in the market for music streaming services by raising the costs of competing music streaming app developers. This in turn leads to higher prices for consumers for their in-app music subscriptions on iOS devices. In addition, Apple becomes the intermediary for all IAP transactions and takes over the billing relationship, as well as related communications for competitors.”

However, expropriating rents from these developers is not nearly as attractive as it might seem. The report of the Dutch competition notes that “attracting and maintaining third-party developers that increase the value of the ecosystem” is essential for Apple. Indeed, users join a specific platform because it provides them with a wide number of applications they can use on their devices. And the opposite applies to developers. Hence, the loss of users on either or both sides reduces the value provided by the Apple App Store. Following this logic, it would make no sense for Apple to systematically expropriate developers. This might partly explain why Apple’s fees are only 30%-15%, since in principle they could be much higher.

It is also worth noting that Apple’s curated App Store and IAP have several redeeming virtues. Apple offers “a highly curated App Store where every app is reviewed by experts and an editorial team helps users discover new apps every day.”  While this has arguably turned the App Store into a relatively closed platform, it provides users with the assurance that the apps they find there will meet a standard of security and trustworthiness.

As noted by the Dutch competition authority, “one of the reasons why the App Store is highly valued is because of the strict review process. Complaints about malware spread via an app downloaded in the App Store are rare.” Apple provides users with a special degree of privacy and security. Indeed, Apple stopped more than $1.5 billion in potentially fraudulent transactions in 2020, proving that the security protocols are not only necessary, but also effective. In this sense, the App Store Review Guidelines are considered the first line of defense against fraud and privacy breaches.

It is also worth noting that Apple only charges a nominal fee for iOS developer kits and no fees for in-app advertising. The IAP is thus essential for Apple to monetize the platform and to cover the costs associated with running the platform (note that Apple does make money on device sales, but that revenue is likely constrained by competition between itself and Android). When someone downloads Spotify from the App Store, Apple does not get paid, but Spotify does get a new client. Thus, while independent developers bear the costs of the app fees, Apple bears the costs and risks of running the platform itself.

For instance, Apple’s App Store Team is divided into smaller teams: the Editorial Design team, the Business Operations team, and the Engineering R&D team. These teams each have employees, budgets, and resources for which Apple needs to pay. If the revenues stopped, one can assume that Apple would have less incentive to sustain all these teams that preserve the App Store’s quality, security, and privacy parameters.

Indeed, the IAP system itself provides value to the Apple App Store. Instead of charging all of the apps it provides, it takes a share of the income from some of them. As a result, large developers that own in-app sales contribute to the maintenance of the platform, while smaller ones are still offered to consumers without having to contribute economically. This boosts Apple’s App Store diversity and supply of digital goods and services.

If Apple was forced to adopt another system, it could start charging higher prices for access to its interface and tools, leading to potential discrimination against the smaller developers. Or, Apple could increase the prices of handset devices, thus incurring higher costs for consumers who do not purchase digital goods. Therefore, there are no apparent alternatives to the current IAP that satisfy the App Store’s goals in the same way.

As the Apple Review Guidelines emphasize, “for everything else there is always the open Internet.” Netflix and Spotify have ditched the subscription options from their app, and they are still among the top downloaded apps in iOS. The IAP system is therefore not compulsory to be successful in Apple’s ecosystem, and developers are free to drop Apple Review Guidelines.

Conclusion

The commission’s case against Apple is based on shaky foundations. Not only is the market definition extremely narrow—ignoring competition from Android, among others—but the behavior challenged by the commission has a clear efficiency-enhancing rationale. Of course, both of these critiques ultimately boil down to empirical questions that the commission will have overcome before it reaches a final decision. In the meantime, the jury is out.

Image by Gerd Altmann from Pixabay

AT&T’s $102 billion acquisition of Time Warner in 2019 will go down in M&A history as an exceptionally ill-advised transaction, resulting in the loss of tens of billions of dollars of shareholder value. It should also go down in history as an exceptional ill-chosen target of antitrust intervention.  The U.S. Department of Justice, with support from many academic and policy commentators, asserted with confidence that the vertical combination of these content and distribution powerhouses would result in an entity that could exercise market power to the detriment of competitors and consumers.

The chorus of condemnation continued with vigor even after the DOJ’s loss in court and AT&T’s consummation of the transaction. With AT&T’s May 17 announcement that it will unwind the two-year-old acquisition and therefore abandon its strategy to integrate content and distribution, it is clear these predictions of impending market dominance were unfounded. 

This widely shared overstatement of antitrust risk derives from a simple but fundamental error: regulators and commentators were looking at the wrong market.  

The DOJ’s Antitrust Case against the Transaction

The business case for the AT&T/Time Warner transaction was straightforward: it promised to generate synergies by combining a leading provider of wireless, broadband, and satellite television services with a leading supplier of video content. The DOJ’s antitrust case against the transaction was similarly straightforward: the combined entity would have the ability to foreclose “must have” content from other “pay TV” (cable and satellite television) distributors, resulting in adverse competitive effects. 

This foreclosure strategy was expected to take two principal forms. First, AT&T could temporarily withhold (or threaten to withhold) content from rival distributors absent payment of a higher carriage fee, which would then translate into higher fees for subscribers. Second, AT&T could permanently withhold content from rival distributors, who would then lose subscribers to AT&T’s DirectTV satellite television service, further enhancing AT&T’s market power. 

Many commentators, both in the trade press and significant portions of the scholarly community, characterized the transaction as posing a high-risk threat to competitive conditions in the pay TV market. These assertions reflected the view that the new entity would exercise a bottleneck position over video-content distribution in the pay TV market and would exercise that power to impose one-sided terms to the detriment of content distributors and consumers. 

Notwithstanding this bevy of endorsements, the DOJ’s case was rejected by the district court and the decision was upheld by the D.C. appellate court. The district judge concluded that the DOJ had failed to show that the combined entity would exercise any credible threat to withhold “must have” content from distributors. A key reason: the lost carriage fees AT&T would incur if it did withhold content were so high, and the migration of subscribers from rival pay TV services so speculative, that it would represent an obviously irrational business strategy. In short: no sophisticated business party would ever take AT&T’s foreclosure threat seriously, in which case the DOJ’s predictions of market power were insufficiently compelling to justify the use of government power to block the transaction.

The Fundamental Flaws in the DOJ’s Antitrust Case

The logical and factual infirmities of the DOJ’s foreclosure hypothesis have been extensively and ably covered elsewhere and I will not repeat that analysis. Following up on my previous TOTM commentary on the transaction, I would like to emphasize the point that the DOJ’s case against the transaction was flawed from the outset for two more fundamental reasons. 

False Assumption #1

The assumption that the combined entity could withhold so-called “must have” content to cause significant and lasting competitive injury to rival distributors flies in the face of market realities.  Content is an abundant, renewable, and mobile resource. There are few entry barriers to the content industry: a commercially promising idea will likely attract capital, which will in turn secure the necessary equipment and personnel for production purposes. Any rival distributor can access a rich menu of valuable content from a plethora of sources, both domestically and worldwide, each of which can provide new content, as required. Even if the combined entity held a license to distribute purportedly “must have” content, that content would be up for sale (more precisely, re-licensing) to the highest bidder as soon as the applicable contract term expired. This is not mere theorizing: it is a widely recognized feature of the entertainment industry.

False Assumption #2

Even assuming the combined entity could wield a portfolio of “must have” content to secure a dominant position in the pay TV market and raise content acquisition costs for rival pay TV services, it still would lack any meaningful pricing power in the relevant consumer market. The reason: significant portions of the viewing population do not want any pay TV or only want dramatically “slimmed-down” packages. Instead, viewers increasingly consume content primarily through video-streaming services—a market in which platforms such as Amazon and Netflix already enjoyed leading positions at the time of the transaction. Hence, even accepting the DOJ’s theory that the combined entity could somehow monopolize the pay TV market consisting of cable and satellite television services, the theory still fails to show any reasonable expectation of anticompetitive effects in the broader and economically relevant market comprising pay TV and streaming services.  Any attempt to exercise pricing power in the pay TV market would be economically self-defeating, since it would likely prompt a significant portion of consumers to switch to (or start to only use) streaming services.

The Antitrust Case for the Transaction

When properly situated within the market that was actually being targeted in the AT&T/Time Warner acquisition, the combined entity posed little credible threat of exercising pricing power. To the contrary, the combined entity was best understood as an entrant that sought to challenge the two pioneer entities—Amazon and Netflix—in the “over the top” content market.

Each of these incumbent platforms individually had (and have) multi-billion-dollar content production budgets that rival or exceed the budgets of major Hollywood studios and enjoy worldwide subscriber bases numbering in the hundreds of millions. If that’s not enough, AT&T was not the only entity that observed the displacement of pay TV by streaming services, as illustrated by the roughly concurrent entry of Disney’s Disney+ service, Apple’s Apple TV+ service, Comcast NBCUniversal’s Peacock service, and others. Both the existing and new competitors are formidable entities operating in a market with formidable capital requirements. In 2019, Netflix, Amazon, and Apple TV expended approximately $15 billion, $6 billion, and again, $6 billion, respectively, on content; by contrast, HBO Max, AT&T’s streaming service, expended approximately $3.5 billion. 

In short, the combined entity faced stiff competition from existing and reasonably anticipated competitors, requiring several billions of dollars on “content spend” to even stay in the running. Far from being able to exercise pricing power in an imaginary market defined by DOJ litigators for strategic purposes, the AT&T/Time Warner entity faced the challenge of merely surviving in a real-world market populated by several exceptionally well-financed competitors. At best, the combined entity “threatened” to deliver incremental competitive benefits by adding a robust new platform to the video-streaming market; at worst, it would fail in this objective and cause no incremental competitive harm. As it turns out, the latter appears to be the case.

The Enduring Virtues of Antitrust Prudence

AT&T’s M&A fiasco has important lessons for broader antitrust debates about the evidentiary standards that should be applied by courts and agencies when assessing alleged antitrust violations, in general, and vertical restraints, in particular.  

Among some scholars, regulators, and legislators, it has become increasingly received wisdom that prevailing evidentiary standards, as reflected in federal case law and agency guidelines, are excessively demanding, and have purportedly induced chronic underenforcement. It has been widely asserted that the courts’ and regulators’ focus on avoiding “false positives” and the associated costs of disrupting innocuous or beneficial business practices has resulted in an overly cautious enforcement posture, especially with respect to mergers and vertical restraints.

In fact, these views were expressed by some commentators in endorsing the antitrust case against the AT&T/Time-Warner transaction. Some legislators have gone further and argued for substantial amendments to the antitrust law to provide enforcers and courts with greater latitude to block or re-engineer combinations that would not pose sufficiently demonstrated competitive risks under current statutory or case law.

The swift downfall of the AT&T/Time-Warner transaction casts great doubt on this critique and accompanying policy proposals. It was precisely the district court’s rigorous application of those “overly” demanding evidentiary standards that avoided what would have been a clear false-positive error. The failure of the “blockbuster” combination to achieve not only market dominance, but even reasonably successful entry, validates the wisdom of retaining those standards.

The fundamental mismatch between the widely supported antitrust case against the transaction and the widely overlooked business realities of the economically relevant consumer market illustrates the ease with which largely theoretical and decontextualized economic models of competitive harm can lead to enforcement actions that lack any reasonable basis in fact.   

Despite calls from some NGOs to mandate radical interoperability, the EU’s draft Digital Markets Act (DMA) adopted a more measured approach, requiring full interoperability only in “ancillary” services like identification or payment systems. There remains the possibility, however, that the DMA proposal will be amended to include stronger interoperability mandates, or that such amendments will be introduced in the Digital Services Act. Without the right checks and balances, this could pose grave threats to Europeans’ privacy and security.

At the most basic level, interoperability means a capacity to exchange information between computer systems. Email is an example of an interoperable standard that most of us use today. Expanded interoperability could offer promising solutions to some of today’s difficult problems. For example, it might allow third-party developers to offer different “flavors” of social media news feed, with varying approaches to content ranking and moderation (see Daphne Keller, Mike Masnick, and Stephen Wolfram for more on that idea). After all, in a pluralistic society, someone will always be unhappy with what some others consider appropriate content. Why not let smaller groups decide what they want to see? 

But to achieve that goal using currently available technology, third-party developers would have to be able to access all of a platform’s content that is potentially available to a user. This would include not just content produced by users who explicitly agrees for their data to be shared with third parties, but also content—e.g., posts, comments, likes—created by others who may have strong objections to such sharing. It doesn’t require much imagination to see how, without adequate safeguards, mandating this kind of information exchange would inevitably result in something akin to the 2018 Cambridge Analytica data scandal.

It is telling that supporters of this kind of interoperability use services like email as their model examples. Email (more precisely, the SMTP protocol) originally was designed in a notoriously insecure way. It is a perfect example of the opposite of privacy by design. A good analogy for the levels of privacy and security provided by email, as originally conceived, is that of a postcard message sent without an envelope that passes through many hands before reaching the addressee. Even today, email continues to be a source of security concerns due to its prioritization of interoperability.

It also is telling that supporters of interoperability tend to point to what are small-scale platforms (e.g., Mastodon) or protocols with unacceptably poor usability for most of today’s Internet users (e.g., Usenet). When proposing solutions to potential privacy problems—e.g., that users will adequately monitor how various platforms use their data—they often assume unrealistic levels of user interest or technical acumen.

Interoperability in the DMA

The current draft of the DMA contains several provisions that broadly construe interoperability as applying only to “gatekeepers”—i.e., the largest online platforms:

  1. Mandated interoperability of “ancillary services” (Art 6(1)(f)); 
  2. Real-time data portability (Art 6(1)(h)); and
  3. Business-user access to their own and end-user data (Art 6(1)(i)). 

The first provision, (Art 6(1)(f)), is meant to force gatekeepers to allow e.g., third-party payment or identification services—for example, to allow people to create social media accounts without providing an email address, which is possible using services like “Sign in with Apple.” This kind of interoperability doesn’t pose as big of a privacy risk as mandated interoperability of “core” services (e.g., messaging on a platform like WhatsApp or Signal), partially due to a more limited scope of data that needs to be exchanged.

However, even here, there may be some risks. For example, users may choose poorly secured identification services and thus become victims of attacks. Therefore, it is important that gatekeepers not be prevented from protecting their users adequately. Of course,there are likely trade-offs between those protections and the interoperability that some want. Proponents of stronger interoperability want this provision amended to cover all “core” services, not just “ancillary” ones, which would constitute precisely the kind of radical interoperability that cannot be safely mandated today.

The other two provisions do not mandate full two-way interoperability, where a third party could both read data from a service like Facebook and modify content on that service. Instead, they provide for one-way “continuous and real-time” access to data—read-only.

The second provision (Art 6(1)(h)) mandates that gatekeepers give users effective “continuous and real-time” access to data “generated through” their activity. It’s not entirely clear whether this provision would be satisfied by, e.g., Facebook’s Graph API, but it likely would not be satisfied simply by being able to download one’s Facebook data, as that is not “continuous and real-time.”

Importantly, the proposed provision explicitly references the General Data Protection Regulation (GDPR), which suggests that—at least as regards personal data—the scope of this portability mandate is not meant to be broader than that from Article 20 GDPR. Given the GDPR reference and the qualification that it applies to data “generated through” the user’s activity, this mandate would not include data generated by other users—which is welcome, but likely will not satisfy the proponents of stronger interoperability.

The third provision from Art 6(1)(i) mandates only “continuous and real-time” data access and only as regards data “provided for or generated in the context of the use of the relevant core platform services” by business users and by “the end users engaging with the products or services provided by those business users.” This provision is also explicitly qualified with respect to personal data, which are to be shared after GDPR-like user consent and “only where directly connected with the use effectuated by the end user in respect of” the business user’s service. The provision should thus not be a tool for a new Cambridge Analytica to siphon data on users who interact with some Facebook page or app and their unwitting contacts. However, for the same reasons, it will also not be sufficient for the kinds of uses that proponents of stronger interoperability envisage.

Why can’t stronger interoperability be safely mandated today?

Let’s imagine that Art 6(1)(f) is amended to cover all “core” services, so gatekeepers like Facebook end up with a legal duty to allow third parties to read data from and write data to Facebook via APIs. This would go beyond what is currently possible using Facebook’s Graph API, and would lack the current safety valve of Facebook cutting off access because of the legal duty to deal created by the interoperability mandate. As Cory Doctorow and Bennett Cyphers note, there are at least three categories of privacy and security risks in this situation:

1. Data sharing and mining via new APIs;

2. New opportunities for phishing and sock puppetry in a federated ecosystem; and

3. More friction for platforms trying to maintain a secure system.

Unlike some other proponents of strong interoperability, Doctorow and Cyphers are open about the scale of the risk: “[w]ithout new legal safeguards to protect the privacy of user data, this kind of interoperable ecosystem could make Cambridge Analytica-style attacks more common.”

There are bound to be attempts to misuse interoperability through clearly criminal activity. But there also are likely to be more legally ambiguous attempts that are harder to proscribe ex ante. Proposals for strong interoperability mandates need to address this kind of problem.

So, what could be done to make strong interoperability reasonably safe? Doctorow and Cyphers argue that there is a “need for better privacy law,” but don’t say whether they think the GDPR’s rules fit the bill. This may be a matter of reasonable disagreement.

What isn’t up for serious debate is that the current framework and practice of privacy enforcement offers little confidence that misuses of strong interoperability would be detected and prosecuted, much less that they would be prevented (see here and here on GDPR enforcement). This is especially true for smaller and “judgment-proof” rule-breakers, including those from outside the European Union. Addressing the problems of privacy law enforcement is a herculean task, in and of itself.

The day may come when radical interoperability will, thanks to advances in technology and/or privacy enforcement, become acceptably safe. But it would be utterly irresponsible to mandate radical interoperability in the DMA and/or DSA, and simply hope the obvious privacy and security problems will somehow be solved before the law takes force. Instituting such a mandate would likely discredit the very idea of interoperability.

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

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

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

AIs That Are Prohibited Outright

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

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

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

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

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

Restrictions on ‘High-Risk’ AIs

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

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

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

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

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

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

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

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

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

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

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

Regulatory Support for Innovation and Competition

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

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

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

Governance and Enforcement

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

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

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

Is the Commission Overplaying its Hand?

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

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

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

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

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

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

Who Balances the Benefits and Costs of Speech?

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

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

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

As Thomas Sowell wrote in Knowledge and Decisions:

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

Knowledge and Decisions, p. 240

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

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

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

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

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

Knowledge and Decisions, p. 244

Markets Produce the Best Moderation Policies

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

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

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

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

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

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

Conclusion

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

We can expect a decision very soon from the High Court of Ireland on last summer’s Irish Data Protection Commission (“IDPC”) decision that placed serious impediments in the transfer data across the Atlantic. That decision, coupled with the July 2020 Court of Justice of the European Union (“CJEU”) decision to invalidate the Privacy Shield agreement between the European Union and the United States, has placed the future of transatlantic trade in jeopardy.

In 2015, the EU Schrems decision invalidated the previously longstanding “safe harbor” agreement between the EU and U.S. to ensure data transfers between the two zones complied with EU privacy requirements. The CJEU later invalidated the Privacy Shield agreement that was created in response to Schrems. In its decision, the court reasoned that U.S. foreign intelligence laws like FISA Section 702 and Executive Order 12333—which give the U.S. government broad latitude to surveil data and offer foreign persons few rights to challenge such surveillance—rendered U.S. firms unable to guarantee the privacy protections of EU citizens’ data.

The IDPC’s decision employed the same logic: if U.S. surveillance laws give the government unreviewable power to spy on foreign citizens’ data, then standard contractual clauses—an alternative mechanism for firms for transferring data—are incapable of satisfying the requirements of EU law.

The implications that flow from this are troubling, to say the least. In the worst case, laws like the CLOUD Act could leave a wide swath of U.S. firms practically incapable doing business in the EU. In the slightly less bad case, firms could be forced to completely localize their data and disrupt the economies of scale that flow from being able to process global data in a unified manner. In any case, the costs for compliance will be massive.

But even if the Irish court upholds the IDPC’s decision, there could still be a path forward for the U.S. and EU to preserve transatlantic digital trade. EU Commissioner for Justice Didier Reynders and U.S. Commerce Secretary Gina Raimondo recently issued a joint statement asserting they are “intensifying” negotiations to develop an enhanced successor to the EU-US Privacy Shield agreement. One can hope the talks are both fast and intense.

It seems unlikely that the Irish High Court would simply overturn the IDPC’s ruling. Instead, the IDCP’s decision will likely be upheld, possibly with recommended modifications. But even in that case, there is a process that buys the U.S. and EU a bit more time before any transatlantic trade involving consumer data grinds to a halt.

After considering replies to its draft decision, the IDPC would issue final recommendations on the extent of the data-transfer suspensions it deems necessary. It would then need to harmonize its recommendations with the other EU data-protection authorities. Theoretically, that could occur in a matter of days, but practically speaking, it would more likely occur over weeks or months. Assuming we get a decision from the Irish High Court before the end of April, it puts the likely deadline for suspension of transatlantic data transfers somewhere between June and September.

That’s not great, but it is not an impossible hurdle to overcome and there are temporary fixes the Biden administration could put in place. Two major concerns need to be addressed.

  1. U.S. data collection on EU citizens needs to be proportional to the necessities of intelligence gathering. Currently, the U.S. intelligence agencies have wide latitude to collect a large amount of data.
  2. The ombudsperson the Privacy Shield agreement created to be responsible for administering foreign citizen data requests was not sufficiently insulated from the political process, creating the need for adequate redress by EU citizens.

As Alex Joel recently noted, the Biden administration has ample powers to effect many of these changes through executive action. After all, EO 12333 was itself a creation of the executive branch. Other changes necessary to shape foreign surveillance to be in accord with EU requirements could likewise arise from the executive branch.

Nonetheless, Congress should not take that as a cue for complacency. It is possible that even if the Biden administration acts, the CJEU could find some or all of the measures insufficient. As the Biden team works to put changes in place through executive order, Congress should pursue surveillance reform through legislation.

Theoretically, the above fixes should be possible; there is not much partisan rancor about transatlantic trade as a general matter. But time is short, and this should be a top priority on policymakers’ radars.

(note: edited to clarify that the Irish High Court is not reviewing SCC’s directly and that the CLOUD Act would not impose legal barriers for firms, but practical ones).