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Killer Acquisition or Leveling Up: The Use of Mergers to Enter Adjacent Markets

Dirk Auer — 1 February 2023

In the world of video games, the process by which players train themselves or their characters in order to overcome a difficult “boss battle” is called “leveling up.” I find that the phrase also serves as a useful metaphor in the context of corporate mergers. Here, “leveling up” can be thought of as acquiring another firm in order to enter or reinforce one’s presence in an adjacent market where a larger and more successful incumbent is already active.

In video-game terminology, that incumbent would be the “boss.” Acquiring firms choose to level up when they recognize that building internal capacity to compete with the “boss” is too slow, too expensive, or is simply infeasible. An acquisition thus becomes the only way “to beat the boss” (or, at least, to maximize the odds of doing so).

Alas, this behavior is often mischaracterized as a “killer acquisition” or “reverse killer acquisition.” What separates leveling up from killer acquisitions is that the former serve to turn the merged entity into a more powerful competitor, while the latter attempt to weaken competition. In the case of “reverse killer acquisitions,” the assumption is that the acquiring firm would have entered the adjacent market regardless absent the merger, leaving even more firms competing in that market.

In other words, the distinction ultimately boils down to a simple (though hard to answer) question: could both the acquiring and target firms have effectively competed with the “boss” without a merger?

Because they are ubiquitous in the tech sector, these mergers—sometimes also referred to as acquisitions of nascent competitors—have drawn tremendous attention from antitrust authorities and policymakers. All too often, policymakers fail to adequately consider the realistic counterfactual to a merger and mistake leveling up for a killer acquisition. The most recent high-profile example is Meta’s acquisition of the virtual-reality fitness app Within. But in what may be a hopeful sign of a turning of the tide, a federal court appears set to clear that deal over objections from the Federal Trade Commission (FTC).

Some Recent ‘Boss Battles’

The canonical example of leveling up in tech markets is likely Google’s acquisition of Android back in 2005. While Apple had not yet launched the iPhone, it was already clear by 2005 that mobile would become an important way to access the internet (including Google’s search services). Rumors were swirling that Apple, following its tremendously successful iPod, had started developing a phone, and Microsoft had been working on Windows Mobile for a long time.

In short, there was a serious risk that Google would be reliant on a single mobile gatekeeper (i.e., Apple) if it did not move quickly into mobile. Purchasing Android was seen as the best way to do so. (Indeed, averting an analogous sort of threat appears to be driving Meta’s move into virtual reality today.)

The natural next question is whether Google or Android could have succeeded in the mobile market absent the merger. My guess is that the answer is no. In 2005, Google did not produce any consumer hardware. Quickly and successfully making the leap would have been daunting. As for Android:

Google had significant advantages that helped it to make demands from carriers and OEMs that Android would not have been able to make. In other words, Google was uniquely situated to solve the collective action problem stemming from OEMs’ desire to modify Android according to their own idiosyncratic preferences. It used the appeal of its app bundle as leverage to get OEMs and carriers to commit to support Android devices for longer with OS updates. The popularity of its apps meant that OEMs and carriers would have great difficulty in going it alone without them, and so had to engage in some contractual arrangements with Google to sell Android phones that customers wanted. Google was better resourced than Android likely would have been and may have been able to hold out for better terms with a more recognizable and desirable brand name than a hypothetical Google-less Android. In short, though it is of course possible that Android could have succeeded despite the deal having been blocked, it is also plausible that Android became so successful only because of its combination with Google. (citations omitted)

In short, everything suggests that Google’s purchase of Android was a good example of leveling up. Note that much the same could be said about the company’s decision to purchase Fitbit in order to compete against Apple and its Apple Watch (which quickly dominated the market after its launch in 2015).

A more recent example of leveling up is Microsoft’s planned acquisition of Activision Blizzard. In this case, the merger appears to be about improving Microsoft’s competitive position in the platform market for game consoles, rather than in the adjacent market for games.

At the time of writing, Microsoft is staring down the barrel of a gun: Sony is on the cusp of becoming the runaway winner of yet another console generation. Microsoft’s executives appear to have concluded that this is partly due to a lack of exclusive titles on the Xbox platform. Hence, they are seeking to purchase Activision Blizzard, one of the most successful game studios, known among other things for its acclaimed Call of Duty series.

Again, the question is whether Microsoft could challenge Sony by improving its internal game-publishing branch (known as Xbox Game Studios) or whether it needs to acquire a whole new division. This is obviously a hard question to answer, but a cursory glance at the titles shipped by Microsoft’s publishing studio suggest that the issues it faces could not simply be resolved by throwing more money at its existing capacities. Indeed, Microsoft Game Studios seems to be plagued by organizational failings that might only be solved by creating more competition within the Microsoft company. As one gaming journalist summarized:

The current predicament of these titles goes beyond the amount of money invested or the buzzwords used to market them – it’s about Microsoft’s plan to effectively manage its studios. Encouraging independence isn’t an excuse for such a blatantly hands-off approach which allows titles to fester for years in development hell, with some fostering mistreatment to occur. On the surface, it’s just baffling how a company that’s been ranked as one of the top 10 most reputable companies eight times in 11 years (as per RepTrak) could have such problems with its gaming division.

The upshot is that Microsoft appears to have recognized that its own game-development branch is failing, and that acquiring a well-functioning rival is the only way to rapidly compete with Sony. There is thus a strong case to be made that competition authorities and courts should approach the merger with caution, as it has at least the potential to significantly increase competition in the game-console industry.

Finally, leveling up is sometimes a way for smaller firms to try and move faster than incumbents into a burgeoning and promising segment. The best example of this is arguably Meta’s effort to acquire Within, a developer of VR fitness apps. Rather than being an attempt to thwart competition from a competitor in the VR app market, the goal of the merger appears to be to compete with the likes of Google, Apple, and Sony at the platform level. As Mark Zuckerberg wrote back in 2015, when Meta’s VR/AR strategy was still in its infancy:

Our vision is that VR/AR will be the next major computing platform after mobile in about 10 years… The strategic goal is clearest. We are vulnerable on mobile to Google and Apple because they make major mobile platforms. We would like a stronger strategic position in the next wave of computing….

Over the next few years, we’re going to need to make major new investments in apps, platform services, development / graphics and AR. Some of these will be acquisitions and some can be built in house. If we try to build them all in house from scratch, then we risk that several will take too long or fail and put our overall strategy at serious risk. To derisk this, we should acquire some of these pieces from leading companies.

In short, many of the tech mergers that critics portray as killer acquisitions are just as likely to be attempts by firms to compete head-on with incumbents. This “leveling up” is precisely the sort of beneficial outcome that antitrust laws were designed to promote.

Building Products Is Hard

Critics are often quick to apply the “killer acquisition” label to any merger where a large platform is seeking to enter or reinforce its presence in an adjacent market. The preceding paragraphs demonstrate that it’s not that simple, as these mergers often enable firms to improve their competitive position in the adjacent market. For obvious reasons, antitrust authorities and policymakers should be careful not to thwart this competition.

The harder part is how to separate the wheat from the chaff. While I don’t have a definitive answer, an easy first step would be for authorities to more seriously consider the supply side of the equation.

Building a new product is incredibly hard, even for the most successful tech firms. Microsoft famously failed with its Zune music player and Windows Phone. The Google+ social network never gained any traction. Meta’s foray into the cryptocurrency industry was a sobering experience. Amazon’s Fire Phone bombed. Even Apple, which usually epitomizes Silicon Valley firms’ ability to enter new markets, has had its share of dramatic failures: Apple Maps, its Ping social network, and the first Home Pod, to name a few.

To put it differently, policymakers should not assume that internal growth is always a realistic alternative to a merger. Instead, they should carefully examine whether such a strategy is timely, cost-effective, and likely to succeed.

This is obviously a daunting task. Firms will struggle to dispositively show that they need to acquire the target firm in order to effectively compete against an incumbent. The question essentially hinges on the quality of the firm’s existing management, engineers, and capabilities. All of these are difficult—perhaps even impossible—to measure. At the very least, policymakers can improve the odds of reaching a correct decision by approaching these mergers with an open mind.

Under Chair Lina Khan’s tenure, the FTC has opted for the opposite approach and taken a decidedly hostile view of tech acquisitions. The commission sued to block both Meta’s purchase of Within and Microsoft’s acquisition of Activision Blizzard. Likewise, several economists—notably Tommasso Valletti—have called for policymakers to reverse the burden of proof in merger proceedings, and opined that all mergers should be viewed with suspicion because, absent efficiencies, they always reduce competition.

Unfortunately, this skeptical approach is something of a self-fulfilling prophecy: when authorities view mergers with suspicion, they are likely to be dismissive of the benefits discussed above. Mergers will be blocked and entry into adjacent markets will occur via internal growth.

Large tech companies’ many failed attempts to enter adjacent markets via internal growth suggest that such an outcome would ultimately harm the digital economy. Too many “boss battles” will needlessly be lost, depriving consumers of precious competition and destroying startup companies’ exit strategies.

In Antitrust & Competition, Apple, Exclusionary Conduct, Facebook, Federal Trade Commission, Google, Mergers & Acquisitions, Platforms, Truth on the Market Android, Apple, gatekeeper, google, killer acquisition, mergers, Meta, Meta-Within, microsoft

What Do Twitter’s Struggles with CSAM Mean for Section 230 Reform?

Ben Sperry & Kristian Stout — 15 December 2022

Twitter has seen a lot of ups and downs since Elon Musk closed on his acquisition of the company in late October and almost immediately set about his initiatives to “reform” the platform’s operations.

One of the stories that has gotten somewhat lost in the ensuing chaos is that, in the short time under Musk, Twitter has made significant inroads—on at least some margins—against the visibility of child sexual abuse material (CSAM) by removing major hashtags that were used to share it, creating a direct reporting option, and removing major purveyors. On the other hand, due to the large reductions in Twitter’s workforce—both voluntary and involuntary—there are now very few human reviewers left to deal with the issue.

Section 230 immunity currently protects online intermediaries from most civil suits for CSAM (a narrow carveout is made under Section 1595 of the Trafficking Victims Protection Act). While the federal government could bring criminal charges if it believes online intermediaries are violating federal CSAM laws, and certain narrow state criminal claims could be brought consistent with federal law, private litigants are largely left without the ability to find redress on their own in the courts.

This, among other reasons, is why there has been a push to amend Section 230 immunity. Our proposal (along with co-author Geoffrey Manne) suggests online intermediaries should have a reasonable duty of care to remove illegal content. But this still requires thinking carefully about what a reasonable duty of care entails.

For instance, one of the big splash moves made by Twitter after Musk’s acquisition was to remove major CSAM distribution hashtags. While this did limit visibility of CSAM for a time, some experts say it doesn’t really solve the problem, as new hashtags will arise. So, would a reasonableness standard require the periodic removal of major hashtags? Perhaps it would. It appears to have been a relatively low-cost way to reduce access to such material, and could theoretically be incorporated into a larger program that uses automated discovery to find and remove future hashtags.

Of course it won’t be perfect, and will be subject to something of a Whac-A-Mole dynamic. But the relevant question isn’t whether it’s a perfect solution, but whether it yields significant benefit relative to its cost, such that it should be regarded as a legally reasonable measure that platforms should broadly implement.

On the flip side, Twitter has lost such a large amount of its workforce that it potentially no longer has enough staff to do the important review of CSAM. As long as Twitter allows adult nudity, and algorithms are unable to effectively distinguish between different types of nudity, human reviewers remain essential. A reasonableness standard might also require sufficient staff and funding dedicated to reviewing posts for CSAM.

But what does it mean for a platform to behave “reasonably”?

Platforms Should Behave ‘Reasonably’

Rethinking platforms’ safe harbor from liability as governed by a “reasonableness” standard offers a way to more effectively navigate the complexities of these tradeoffs without resorting to the binary of immunity or total liability that typically characterizes discussions of Section 230 reform.

It could be the case that, given the reality that machines can’t distinguish between “good” and “bad” nudity, it is patently unreasonable for an open platform to allow any nudity at all if it is run with the level of staffing that Musk seems to prefer for Twitter.

Consider the situation that MindGeek faced a couple of years ago. It was pressured by financial providers, including PayPal and Visa, to clean up the CSAM and nonconsenual pornography that appeared on its websites. In response, they removed more than 80% of suspected illicit content and required greater authentication for posting.

Notwithstanding efforts to clean up the service, a lawsuit was filed against MindGeek and Visa by victims who asserted that the credit-card company was a knowing conspirator for processing payments to MindGeek’s sites when they were purveying child pornography. Notably, Section 230 issues were dismissed early on in the case, but the remaining claims—rooted in the Racketeer Influenced and Corrupt Organizations Act (RICO) and the Trafficking Victims Protection Act (TVPA)—contained elements that support evaluating the conduct of online intermediaries, including payment providers who support online services, through a reasonableness lens.

In our amicus, we stressed the broader policy implications of failing to appropriately demarcate the bounds of liability. In short, we stressed that deterrence is best encouraged by placing responsibility for control on the party most closely able to monitor the situation—i.e., MindGeek, and not Visa. Underlying this, we believe that an appropriately tuned reasonableness standard should be able to foreclose these sorts of inquiries at early stages of litigation if there is good evidence that an intermediary behaved reasonably under the circumstances.

In this case, we believed the court should have taken seriously the fact that a payment processor needs to balance a number of competing demands— legally, economically, and morally—in a way that enables them to serve their necessary prosocial roles. Here, Visa had to balance its role, on the one hand, as a neutral intermediary responsible for handling millions of daily transactions, with its interests to ensure that it did not facilitate illegal behavior. But it also was operating, essentially, under a veil of ignorance: all of the information it had was derived from news reports, as it was not directly involved in, nor did it have special insight into, the operation of MindGeek’s businesses.

As we stressed in our intermediary-liability paper, there is indeed a valid concern that changes to intermediary-liability policy not invite a flood of ruinous litigation. Instead, there needs to be some ability to determine at the early stages of litigation whether a defendant behaved reasonably under the circumstances. In the MindGeek case, we believed that Visa did.

In essence, much of this approach to intermediary liability boils down to finding socially and economically efficient dividing lines that can broadly demarcate when liability should attach. For example, if Visa is liable as a co-conspirator in MindGeek’s allegedly illegal enterprise for providing a payment network that MindGeek uses by virtue of its relationship with yet other intermediaries (i.e., the banks that actually accept and process the credit-card payments), why isn’t the U.S. Post Office also liable for providing package-delivery services that allow MindGeek to operate? Or its maintenance contractor for cleaning and maintaining its offices?

Twitter implicitly engaged in this sort of analysis when it considered becoming an OnlyFans competitor. Despite having considerable resources—both algorithmic and human—Twitter’s internal team determined they could not “accurately detect child sexual exploitation and non-consensual nudity at scale.” As a result, they abandoned the project. Similarly, Tumblr tried to make many changes, including taking down CSAM hashtags, before finally giving up and removing all pornographic material in order to remain in the App Store for iOS. At root, these firms demonstrated the ability to weigh costs and benefits in ways entirely consistent with a reasonableness analysis.

Thinking about the MindGeek situation again, it could also be the case that MindGeek did not behave reasonably. Some of MindGeek’s sites encouraged the upload of user-generated pornography. If MindGeek experienced the same limitations in detecting “good” and “bad” pornography (which is likely), it could be that the company behaved recklessly for many years, and only tightened its verification procedures once it was caught. If true, that is behavior that should not be protected by the law with a liability shield, as it is patently unreasonable.

Apple is sometimes derided as an unfair gatekeeper of speech through its App Store. But, ironically, Apple itself has made complex tradeoffs between data security and privacy—through use of encryption, on the one hand, and checking devices for CSAM material, on the other. Prioritizing encryption over scanning devices (especially photos and messages) for CSAM is a choice that could allow for more CSAM to proliferate. But the choice is, again, a difficult one: how much moderation is needed and how do you balance such costs against other values important to users, such as privacy for the vast majority of nonoffending users?

As always, these issues are complex and involve tradeoffs. But it is obvious that more can and needs to be done by online intermediaries to remove CSAM.

But What Is ‘Reasonable’? And How Do We Get There?

The million-dollar legal question is what counts as “reasonable?” We are not unaware of the fact that, particularly when dealing with online platforms that deal with millions of users a day, there is a great deal of surface area exposed to litigation by potentially illicit user-generated conduct. Thus, it is not the case, at least for the foreseeable future, that we need to throw open gates of a full-blown common-law process to determine questions of intermediary liability. What is needed, instead, is a phased-in approach that gets courts in the business of parsing these hard questions and building up a body of principles that, on the one hand, encourage platforms to do more to control illicit content on their services, and on the other, discourages unmeritorious lawsuits by the plaintiffs’ bar.

One of our proposals for Section 230 reform is for a multistakeholder body, overseen by an expert agency like the Federal Trade Commission or National Institute of Standards and Technology, to create certified moderation policies. This would involve online intermediaries working together with a convening federal expert agency to develop a set of best practices for removing CSAM, including thinking through the cost-benefit analysis of more moderation—human or algorithmic—or even wholesale removal of nudity and pornographic content.

Compliance with these standards should, in most cases, operate to foreclose litigation against online service providers at an early stage. If such best practices are followed, a defendant could point to its moderation policies as a “certified answer” to any complaint alleging a cause of action arising out of user-generated content. Compliant practices will merit dismissal of the case, effecting a safe harbor similar to the one currently in place in Section 230.

In litigation, after a defendant answers a complaint with its certified moderation policies, the burden would shift to the plaintiff to adduce sufficient evidence to show that the certified standards were not actually adhered to. Such evidence should be more than mere res ipsa loquitur; it must be sufficient to demonstrate that the online service provider should have been aware of a harm or potential harm, that it had the opportunity to cure or prevent it, and that it failed to do so. Such a claim would need to meet a heightened pleading requirement, as for fraud, requiring particularity. And, periodically, the body overseeing the development of this process would incorporate changes to the best practices standards based on the cases being brought in front of courts.

Online service providers don’t need to be perfect in their content-moderation decisions, but they should behave reasonably. A properly designed duty-of-care standard should be flexible and account for a platform’s scale, the nature and size of its user base, and the costs of compliance, among other considerations. What is appropriate for YouTube, Facebook, or Twitter may not be the same as what’s appropriate for a startup social-media site, a web-infrastructure provider, or an e-commerce platform.

Indeed, this sort of flexibility is a benefit of adopting a “reasonableness” standard, such as is found in common-law negligence. Allowing courts to apply the flexible common-law duty of reasonable care would also enable jurisprudence to evolve with the changing nature of online intermediaries, the problems they pose, and the moderating technologies that become available.

Conclusion

Twitter and other online intermediaries continue to struggle with the best approach to removing CSAM, nonconsensual pornography, and a whole host of other illicit content. There are no easy answers, but there are strong ethical reasons, as well as legal and market pressures, to do more. Section 230 reform is just one part of a complete regulatory framework, but it is an important part of getting intermediary liability incentives right. A reasonableness approach that would hold online platforms accountable in a cost-beneficial way is likely to be a key part of a positive reform agenda for Section 230.

In Apple, Credit Cards, Platforms, Truth on the Market, Twitter App Store, Apple, CSAM, payments, section 230, Twitter

The Four Ways of Spending Data

Stephen Dnes — 28 July 2022

[TOTM: The following is part of a digital symposium by TOTM guests and authors on Antitrust’s Uncertain Future: Visions of Competition in the New Regulatory Landscape. Information on the authors and the entire series of posts is available here.]

In Free to Choose, Milton Friedman famously noted that there are four ways to spend money[1]:

Spending your own money on yourself. For example, buying groceries or lunch. There is a strong incentive to economize and to get full value.
Spending your own money on someone else. For example, buying a gift for another. There is a strong incentive to economize, but perhaps less to achieve full value from the other person’s point of view. Altruism is admirable, but it differs from value maximization, since—strictly speaking—giving cash would maximize the other’s value. Perhaps the point of a gift is that it does not amount to cash and the maximization of the other person’s welfare from their point of view.
Spending someone else’s money on yourself. For example, an expensed business lunch. “Pass me the filet mignon and Chateau Lafite! Do you have one of those menus without any prices?” There is a strong incentive to get maximum utility, but there is little incentive to economize.
Spending someone else’s money on someone else. For example, applying the proceeds of taxes or donations. There may be an indirect desire to see utility, but incentives for quality and cost management are often diminished.

This framework can be criticized. Altruism has a role. Not all motives are selfish. There is an important role for action to help those less fortunate, which might mean, for instance, that a charity gains more utility from category (4) (assisting the needy) than from category (3) (the charity’s holiday party). It always depends on the facts and the context. However, there is certainly a grain of truth in the observation that charity begins at home and that, in the final analysis, people are best at managing their own affairs.

How would this insight apply to data interoperability? The difficult cases of assisting the needy do not arise here: there is no serious sense in which data interoperability does, or does not, result in destitution. Thus, Friedman’s observations seem to ring true: when spending data, those whose data it is seem most likely to maximize its value. This is especially so where collection of data responds to incentives—that is, the amount of data collected and processed responds to how much control over the data is possible.

The obvious exception to this would be a case of market power. If there is a monopoly with persistent barriers to entry, then the incentive may not be to maximize total utility, and therefore to limit data handling to the extent that a higher price can be charged for the lesser amount of data that does remain available. This has arguably been seen with some data-handling rules: the “Jedi Blue” agreement on advertising bidding, Apple’s Intelligent Tracking Prevention and App Tracking Transparency, and Google’s proposed Privacy Sandbox, all restrict the ability of others to handle data. Indeed, they may fail Friedman’s framework, since they amount to the platform deciding how to spend others’ data—in this case, by not allowing them to collect and process it at all.

It should be emphasized, though, that this is a special case. It depends on market power, and existing antitrust and competition laws speak to it. The courts will decide whether cases like Daily Mail v Google and Texas et al. v Google show illegal monopolization of data flows, so as to fall within this special case of market power. Outside the United States, cases like the U.K. Competition and Markets Authority’s Google Privacy Sandbox commitments and the European Union’s proposed commitments with Amazon seek to allow others to continue to handle their data and to prevent exclusivity from arising from platform dynamics, which could happen if a large platform prevents others from deciding how to account for data they are collecting. It will be recalled that even Robert Bork thought that there was risk of market power harms from the large Microsoft Windows platform a generation ago.[2] Where market power risks are proven, there is a strong case that data exclusivity raises concerns because of an artificial barrier to entry. It would only be if the benefits of centralized data control were to outweigh the deadweight loss from data restrictions that this would be untrue (though query how well the legal processes verify this).

Yet the latest proposals go well beyond this. A broad interoperability right amounts to “open season” for spending others’ data. This makes perfect sense in the European Union, where there is no large domestic technology platform, meaning that the data is essentially owned via foreign entities (mostly, the shareholders of successful U.S. and Chinese companies). It must be very tempting to run an industrial policy on the basis that “we’ll never be Google” and thus to embrace “sharing is caring” as to others’ data.

But this would transgress the warning from Friedman: would people optimize data collection if it is open to mandatory sharing even without proof of market power? It is deeply concerning that the EU’s DATA Act is accompanied by an infographic that suggests that coffee-machine data might be subject to mandatory sharing, to allow competition in services related to the data (e.g., sales of pods; spare-parts automation). There being no monopoly in coffee machines, this simply forces vertical disintegration of data collection and handling. Why put a data-collection system into a coffee maker at all, if it is to be a common resource? Friedman’s category (4) would apply: the data is taken and spent by another. There is no guarantee that there would be sensible decision making surrounding the resource.

It will be interesting to see how common-law jurisdictions approach this issue. At the risk of stating the obvious, the polity in continental Europe differs from that in the English-speaking democracies when it comes to whether the collective, or the individual, should be in the driving seat. A close read of the UK CMA’s Google commitments is interesting, in that paragraph 30 requires no self-preferencing in data collection and requires future data-handling systems to be designed with impacts on competition in mind. No doubt the CMA is seeking to prevent data-handling exclusivity on the basis that this prevents companies from using their data collection to compete. This is far from the EU DATA Act’s position in that it is certainly not a right to handle Google’s data: it is simply a right to continue to process one’s own data.

U.S. proposals are at an earlier stage. It would seem important, as a matter of principle, not to make arbitrary decisions about vertical integration in data systems, and to identify specific market-power concerns instead, in line with common-law approaches to antitrust.

It might be very attractive to the EU to spend others’ data on their behalf, but that does not make it right. Those working on the U.S. proposals would do well to ensure that there is a meaningful market-power gate to avoid unintended consequences.

Disclaimer: The author was engaged for expert advice relating to the UK CMA’s Privacy Sandbox case on behalf of the complainant Marketers for an Open Web.

[1] Milton Friedman, Free to Choose, 1980, pp.115-119

[2] Comments at the Yale Law School conference, Robert H. Bork’s influence on Antitrust Law, Sep. 27-28, 2013.

The Woman in the High Office

Dirk Auer — 27 July 2022

[TOTM: The following is part of a digital symposium by TOTM guests and authors on Antitrust’s Uncertain Future: Visions of Competition in the New Regulatory Landscape. Information on the authors and the entire series of posts is available here.]

May 2007, Palo Alto

The California sun shone warmly on Eric Schmidt’s face as he stepped out of his car and made his way to have dinner at Madera, a chic Palo Alto restaurant.

Dining out was a welcome distraction from the endless succession of strategy meetings with the nitpickers of the law department, which had been Schmidt’s bread and butter for the last few months. The lawyers seemed to take issue with any new project that Google’s engineers came up with. “How would rivals compete with our maps?”; “Our placement should be no less favorable than rivals’’; etc. The objections were endless.

This is not how things were supposed to be. When Schmidt became Google’s chief executive officer in 2001, his mission was to take the company public and grow the firm into markets other than search. But then something unexpected happened. After campaigning on an anti-monopoly platform, a freshman senator from Minnesota managed to get her anti-discrimination bill through Congress in just her first few months in office. All companies with a market cap of more than $150 billion were now prohibited from favoring their own products. Google had recently crossed that Rubicon, putting a stop to years of carefree expansion into new markets.

But today was different. The waiter led Schmidt to his table overlooking Silicon Valley. His acquaintance was already seated.

With his tall and slender figure, Andy Rubin had garnered quite a reputation among Silicon Valley’s elite. After engineering stints at Apple and Motorola, developing various handheld devices, Rubin had set up his own shop. The idea was bold: develop the first open mobile platform—based on Linux, nonetheless. Rubin had pitched the project to Google in 2005 but given the regulatory uncertainty over the future of antitrust—the same wave of populist sentiment that would carry Klobuchar to office one year later—Schmidt and his team had passed.

“There’s no money in open source,” the company’s CFO ruled. Schmidt had initially objected, but with more pressing matters to deal with, he ultimately followed his CFO’s advice.

Schmidt and Rubin were exchanging pleasantries about Microsoft and Java when the meals arrived–sublime Wagyu short ribs and charred spring onions paired with a 1986 Chateau Margaux.

Rubin finally cut to the chase. “Our mobile operating system will rely on state-of-the-art touchscreen technology. Just like the device being developed by Apple. Buying Android today might be your only way to avoid paying monopoly prices to access Apple’s mobile users tomorrow.”

Schmidt knew this all too well: The future was mobile, and few companies were taking Apple’s upcoming iPhone seriously enough. Even better, as a firm, Android was treading water. Like many other startups, it had excellent software but no business model. And with the Klobuchar bill putting the brakes on startup investment—monetizing an ecosystem had become a delicate legal proposition, deterring established firms from acquiring startups–Schmidt was in the middle of a buyer’s market. “Android we could make us a force to reckon with” Schmidt thought to himself.

But he quickly shook that thought, remembering the words of his CFO: “There is no money in open source.” In an ideal world, Google would have used Android to promote its search engine—placing a search bar on Android users to draw users to its search engine—or maybe it could have tied a proprietary app store to the operating system, thus earning money from in-app purchases. But with the Klobuchar bill, these were no longer options. Not without endless haggling with Google’s planning committee of lawyers.

And they would have a point, of course. Google risked heavy fines and court-issued injunctions that would stop the project in its tracks. Such risks were not to be taken lightly. Schmidt needed a plan to make the Android platform profitable while accommodating Google’s rivals, but he had none.

The desserts were served, Schmidt steered the conversation to other topics, and the sun slowly set over Sand Hill Road.

Present Day, Cupertino

Apple continues to dominate the smartphone industry with little signs of significant competition on the horizon. While there are continuing rumors that Google, Facebook, or even TikTok might enter the market, these have so far failed to transpire.

Google’s failed partnership with Samsung, back in 2012, still looms large over the industry. After lengthy talks to create an open mobile platform failed to materialize, Google ultimately entered into an agreement with the longstanding mobile manufacturer. Unfortunately, the deal was mired by antitrust issues and clashing visions—Samsung was believed to favor a closed ecosystem, rather than the open platform envisioned by Google.

The sense that Apple is running away with the market is only reinforced by recent developments. Last week, Tim Cook unveiled the company’s new iPhone 11—the first ever mobile device to come with three cameras. With an eye-watering price tag of $1,199 for the top-of-the-line Pro model, it certainly is not cheap. In his presentation, Cook assured consumers Apple had solved the security issues that have been an important bugbear for the iPhone and its ecosystem of competing app stores.

Analysts expect the new range of devices will help Apple cement the iPhone’s 50% market share. This is especially likely given the important challenges that Apple’s main rivals continue to face.

The Windows Phone’s reputation for buggy software continues to undermine its competitive position, despite its comparatively low price point. Andy Rubin, the head of the Windows Phone, was reassuring in a press interview, but there is little tangible evidence he will manage to successfully rescue the flailing ship. Meanwhile, Huawei has come under increased scrutiny for the threats it may pose to U.S. national security. The Chinese manufacturer may face a U.S. sales ban, unless the company’s smartphone branch is sold to a U.S. buyer. Oracle is said to be a likely candidate.

The sorry state of mobile competition has become an increasingly prominent policy issue. President Klobuchar took to Twitter and called on mobile-device companies to refrain from acting as monopolists, intimating elsewhere that failure to do so might warrant tougher regulation than her anti-discrimination bill:

The ABA’s Antitrust Law Section Sounds the Alarm on Klobuchar-Grassley

Lazar Radic and Geoffrey Manne — 12 May 2022

Sens. Amy Klobuchar (D-Minn.) and Chuck Grassley (R-Iowa)—cosponsors of the American Innovation Online and Choice Act, which seeks to “rein in” tech companies like Apple, Google, Meta, and Amazon—contend that “everyone acknowledges the problems posed by dominant online platforms.”

In their framing, it is simply an acknowledged fact that U.S. antitrust law has not kept pace with developments in the digital sector, allowing a handful of Big Tech firms to exploit consumers and foreclose competitors from the market. To address the issue, the senators’ bill would bar “covered platforms” from engaging in a raft of conduct, including self-preferencing, tying, and limiting interoperability with competitors’ products.

That’s what makes the open letter to Congress published late last month by the usually staid American Bar Association’s (ABA) Antitrust Law Section so eye-opening. The letter is nothing short of a searing critique of the legislation, which the section finds to be poorly written, vague, and departing from established antitrust-law principles.

The ABA, of course, has a reputation as an independent, highly professional, and heterogenous group. The antitrust section’s membership includes not only in-house corporate counsel, but lawyers from nonprofits, consulting firms, federal and state agencies, judges, and legal academics. Given this context, the comments must be read as a high-level judgment that recent legislative and regulatory efforts to “discipline” tech fall outside the legal mainstream and would come at the cost of established antitrust principles, legal precedent, transparency, sound economic analysis, and ultimately consumer welfare.

The Antitrust Section’s Comments

As the ABA Antitrust Law Section observes:

The Section has long supported the evolution of antitrust law to keep pace with evolving circumstances, economic theory, and empirical evidence. Here, however, the Section is concerned that the Bill, as written, departs in some respects from accepted principles of competition law and in so doing risks causing unpredicted and unintended consequences.

Broadly speaking, the section’s criticisms fall into two interrelated categories. The first relates to deviations from antitrust orthodoxy and the principles that guide enforcement. The second is a critique of the AICOA’s overly broad language and ambiguous terminology.

Departing from established antitrust-law principles

Substantively, the overarching concern expressed by the ABA Antitrust Law Section is that AICOA departs from the traditional role of antitrust law, which is to protect the competitive process, rather than choosing to favor some competitors at the expense of others. Indeed, the section’s open letter observes that, out of the 10 categories of prohibited conduct spelled out in the legislation, only three require a “material harm to competition.”

Take, for instance, the prohibition on “discriminatory” conduct. As it stands, the bill’s language does not require a showing of harm to the competitive process. It instead appears to enshrine a freestanding prohibition of discrimination. The bill targets tying practices that are already prohibited by U.S. antitrust law, but while similarly eschewing the traditional required showings of market power and harm to the competitive process. The same can be said, mutatis mutandis, for “self-preferencing” and the “unfair” treatment of competitors.

The problem, the section’s letter to Congress argues, is not only that this increases the teleological chasm between AICOA and the overarching goals and principles of antitrust law, but that it can also easily lead to harmful unintended consequences. For instance, as the ABA Antitrust Law Section previously observed in comments to the Australian Competition and Consumer Commission, a prohibition of pricing discrimination can limit the extent of discounting generally. Similarly, self-preferencing conduct on a platform can be welfare-enhancing, while forced interoperability—which is also contemplated by AICOA—can increase prices for consumers and dampen incentives to innovate. Furthermore, some of these blanket prohibitions are arguably at loggerheads with established antitrust doctrine, such as in, e.g., Trinko, which established that even monopolists are generally free to decide with whom they will deal.

Arguably, the reason why the Klobuchar-Grassley bill can so seamlessly exclude or redraw such a central element of antitrust law as competitive harm is because it deliberately chooses to ignore another, preceding one. Namely, the bill omits market power as a requirement for a finding of infringement or for the legislation’s equally crucial designation as a “covered platform.” It instead prescribes size metrics—number of users, market capitalization—to define which platforms are subject to intervention. Such definitions cast an overly wide net that can potentially capture consumer-facing conduct that doesn’t have the potential to harm competition at all.

It is precisely for this reason that existing antitrust laws are tethered to market power—i.e., because it long has been recognized that only companies with market power can harm competition. As John B. Kirkwood of Seattle University School of Law has written:

Market power’s pivotal role is clear…This concept is central to antitrust because it distinguishes firms that can harm competition and consumers from those that cannot.

In response to the above, the ABA Antitrust Law Section (reasonably) urges Congress explicitly to require an effects-based showing of harm to the competitive process as a prerequisite for all 10 of the infringements contemplated in the AICOA. This also means disclaiming generalized prohibitions of “discrimination” and of “unfairness” and replacing blanket prohibitions (such as the one for self-preferencing) with measured case-by-case analysis.

Opaque language for opaque ideas

Another underlying issue is that the Klobuchar-Grassley bill is shot through with indeterminate language and fuzzy concepts that have no clear limiting principles. For instance, in order either to establish liability or to mount a successful defense to an alleged violation, the bill relies heavily on inherently amorphous terms such as “fairness,” “preferencing,” and “materiality,” or the “intrinsic” value of a product. But as the ABA Antitrust Law Section letter rightly observes, these concepts are not defined in the bill, nor by existing antitrust case law. As such, they inject variability and indeterminacy into how the legislation would be administered.

Moreover, it is also unclear how some incommensurable concepts will be weighed against each other. For example, how would concerns about safety and security be weighed against prohibitions on self-preferencing or requirements for interoperability? What is a “core function” and when would the law determine it has been sufficiently “enhanced” or “maintained”—requirements the law sets out to exempt certain otherwise prohibited behavior? The lack of linguistic and conceptual clarity not only explodes legal certainty, but also invites judicial second-guessing into the operation of business decisions, something against which the U.S. Supreme Court has long warned.

Finally, the bill’s choice of language and recent amendments to its terminology seem to confirm the dynamic discussed in the previous section. Most notably, the latest version of AICOA replaces earlier language invoking “harm to the competitive process” with “material harm to competition.” As the ABA Antitrust Law Section observes, this “suggests a shift away from protecting the competitive process towards protecting individual competitors.” Indeed, “material harm to competition” deviates from established categories such as “undue restraint of trade” or “substantial lessening of competition,” which have a clear focus on the competitive process. As a result, it is not unreasonable to expect that the new terminology might be interpreted as meaning that the actionable standard is material harm to competitors.

In its letter, the antitrust section urges Congress not only to define more clearly the novel terminology used in the bill, but also to do so in a manner consistent with existing antitrust law. Indeed:

The Section further recommends that these definitions direct attention to analysis consistent with antitrust principles: effects-based inquiries concerned with harm to the competitive process, not merely harm to particular competitors

Conclusion

The AICOA is a poorly written, misguided, and rushed piece of regulation that contravenes both basic antitrust-law principles and mainstream economic insights in the pursuit of a pre-established populist political goal: punishing the success of tech companies. If left uncorrected by Congress, these mistakes could have potentially far-reaching consequences for innovation in digital markets and for consumer welfare. They could also set antitrust law on a regressive course back toward a policy of picking winners and losers.

Assessing Less Restrictive Alternatives and Interbrand Competition in Epic v Apple

Geoff Manne, Dirk Auer & Lazar Radic — 1 April 2022

The International Center for Law & Economics (ICLE) filed an amicus brief on behalf of itself and 26 distinguished law & economics scholars with the 9th U.S. Circuit Court of Appeals in the hotly anticipated and intensely important Epic Games v Apple case.

A fantastic group of attorneys from White & Case generously assisted us with the writing and filing of the brief, including George Paul, Jack Pace, Gina Chiapetta, and Nicholas McGuire. The scholars who signed the brief are listed at the end of this post. A summary of the brief’s arguments follows. For some of our previous writings on the case, see here, here, here, and here.

Introduction

In Epic Games v. Apple, Epic challenged Apple’s prohibition of third-party app stores and in-app payments (IAP) systems from operating on its proprietary iOS platform as a violation of antitrust law. The U.S. District Court for the Northern District of California ruled against Epic, finding that Epic’s real concern is its own business interests in the face of Apple’s business model—in particular, the commission Apple charges for use of its IAP system—rather than harm to consumers and to competition more broadly.

Epic appealed to the 9th Circuit on several grounds. Our brief primarily addresses two of Epic’s arguments:

First, Epic takes issue with the district court’s proper finding that Apple’s procompetitive justifications outweigh the anticompetitive effects of Apple’s business model. But Epic’s case fails at step one of the rule-of-reason analysis, as it didn’t demonstrate that Apple’s app distribution and IAP practices caused the significant, market-wide, anticompetitive effects that the Supreme Court, in 2018’s Ohio v. American Express (“Amex”), deemed necessary to show anticompetitive harm in cases involving two-sided transaction markets (like Apple’s App Store).
Second, Epic argues that the theoretical existence of less restrictive alternatives (“LRA”) to Apple’s business model is sufficient to meet its burden under the rule of reason. But the reliance on LRA in this case is misplaced. Forcing Apple to adopt the “open” platform that Epic champions would reduce interbrand competition and improperly permit antitrust plaintiffs to commandeer the judiciary to modify routine business conduct any time a plaintiff’s attorney or district court can imagine a less restrictive version of a challenged practice—irrespective of whether the practice promotes consumer welfare. This is especially true in the context of two-sided platform businesses, where such an approach would sacrifice interbrand, systems-level competition for the sake of a superficial increase in competition among a small subset of platform users.

Competitive Effects in Two-Sided Markets

Two-sided markets connect distinct sets of users whose demands for the platform are interdependent—i.e., consumers’ demand for a platform increases as more products are available, and conversely, product developers’ demand for a platform increases as additional consumers use the platform, increasing the overall potential for transactions. As a result of these complex dynamics, conduct that may appear anticompetitive when considering the effects on only one set of customers may be entirely consistent with—and actually promote—healthy competition when examining the effects on both sides.

That’s why the Supreme Court recognized in Amex that it was improper to focus on only one side of a two-sided platform. And this holding doesn’t require adherence to the Court’s contentious finding of a two-sided relevant market in Amex. Indeed, even scholars highly critical of the Amex decision recognize the importance of considering effects on both sides of a two-sided platform.

While the district court did find that Epic demonstrated some anticompetitive effects, Epic’s evidence focused only on the effects that Apple’s conduct had on certain app developers; it failed to appropriately examine whether consumers were harmed overall. As Geoffrey Manne has observed, in two-sided markets, “some harm” is not the same thing as “competitively relevant harm.” Supracompetitive prices on one side do not tell us much about the existence or exercise of (harmful) market power in two-sided markets. As the Supreme Court held in Amex:

The fact that two-sided platforms charge one side a price that is below or above cost reflects differences in the two sides’ demand elasticity, not market power or anticompetitive pricing. Price increases on one side of the platform likewise do not suggest anticompetitive effects without some evidence that they have increased the overall cost of the platform’s services.

Without further evidence of the effect of Apple’s practices on consumers, no conclusions can be drawn about the competitive effects of Apple’s conduct.

Nor can an appropriate examination of anticompetitive effects ignore output. The ability to restrict output, after all, is what allows a monopolist to increase prices. Whereas price effects alone might appear predatory on one side of the market and supra-competitive on the other, output reflects what is happening in the market as a whole. It is therefore the most appropriate measure for antitrust law generally, and it is especially useful in two-sided markets, where asymmetrical price changes are of little use in determining anticompetitive effects.

Ultimately, the question before the court must be whether Apple’s overall pricing structure and business model reduces output, either by deterring app developers from participating in the market or by deterring users from purchasing apps (or iOS devices) as a consequence of the app-developer commission. The district court here noted that it could not ascertain whether Apple’s alleged restrictions had a “positive or negative impact on game transaction volume.”

Thus, Epic’s case fails at step one of the rule of reason analysis because it simply hasn’t demonstrated the requisite harm to competition.

Less Restrictive Alternatives and the Rule of Reason

But even if that weren’t the case, Epic’s claims also don’t make it past step three of the rule of reason analysis.

Epic’s appeal relies on theoretical “less restrictive alternatives” (LRA) to Apple’s business model, which highlights longstanding questions about the role and limits of LRA analysis under the rule of reason.

According to Epic, because the district court identified some anticompetitive effects on one side of the market, and because alternative business models could, in theory, be implemented to achieve the same procompetitive benefits as Apple’s current business model, the court should have ruled in Epic’s favor at step three.

There are several problems with this.

First, the existence of an LRA is irrelevant if anticompetitive harm has not been established, of course (as is the case here).

Nor does the fact that some hypothetically less restrictive alternative exists automatically render the conduct under consideration anticompetitive. As the Court held in Trinko, antitrust laws do not “give judges carte blanche to insist that a monopolist alter its way of doing business whenever some other approach might yield greater competition.”

While, following the Supreme Court’s recent Alston decision, LRA analysis may well be appropriate in some contexts to identify anticompetitive conduct in the face of procompetitive justifications, there is no holding (in either the 9th Circuit or the Supreme Court) requiring it in the context of two-sided markets. (Amex refers to LRA analysis as constituting step three, but because that case was resolved at step one, it must be viewed as mere dictum).And for good reason. In the context of two-sided platforms, an LRA approach would inevitably require courts to second guess the particular allocation of costs, prices, and product attributes across platform users. As Tom Nachbar writes:

Platform defendants, even if they are able to establish the general procompetitive justifications for charging above and below cost prices on the two sides of their platforms, will have to defend the precise combination of prices they have chosen [under an LRA approach] . . . . The relative difficulty of defending any particular allocation of costs will present considerable risk of destabilizing platform markets.

Moreover, LRAs—like the ones proposed by Epic—that are based on maximizing competitor effectiveness by “opening” an incumbent’s platform would convert the rule of reason into a regulatory tool that may not promote competition at all. As Alan Devlin deftly puts it:

This construction of antitrust law—that dominant companies must affirmatively support their fringe rivals’ ability to compete effectively—adopts a perspective of antitrust that is regulatory in nature. . . . [I]f one adopts the increasingly prevalent view that antitrust must facilitate unfettered access to markets, thus spurring free entry and expansion by incumbent rivals, the Sherman Act goes from being a prophylactic device aimed at protecting consumers against welfare-reducing acts to being a misplaced regulatory tool that potentially sacrifices both consumer welfare and efficiency in a misguided pursuit of more of both.

Open Platforms Are not Necessarily Less Restrictive Platforms

It is also important to note that Epic’s claimed LRAs are neither viable alternatives nor actually “less restrictive.” Epic’s proposal would essentially turn Apple’s iOS into an open platform more similar to Google’s Android, its largest market competitor.

“Open” and “closed” platforms both have distinct benefits and drawbacks; one is not inherently superior to the other. Closed proprietary platforms like Apple’s iOS create incentives for companies to internalize positive indirect network effects, which can lead to higher levels of product variety, user adoption, and total social welfare. As Andrei Hagiu has written:

A proprietary platform may in fact induce more developer entry (i.e., product variety), user adoption and higher total social welfare than an open platform.

For example, by filtering which apps can access the App Store and precluding some transactions from taking place on it, a closed or semi-closed platform like Apple’s may ultimately increase the number of apps and transactions on its platform, where doing so makes the iOS ecosystem more attractive to both consumers and developers.

Any analysis of a supposedly less restrictive alternative to Apple’s “walled garden” model thus needs to account for the tradeoffs between open and closed platforms, and not merely assume that “open” equates to “good,” and “closed” to “bad.”

Further, such analysis also must consider tradeoffs among consumers and among developers. More vigilant users might be better served by an “open” platform because they find it easier to avoid harmful content; less vigilant ones may want more active assistance in screening for malware, spyware, or software that simply isn’t optimized for the user’s device. There are similar tradeoffs on the developer side: Apple’s model lowers the cost to join the App store, which particularly benefits smaller developers and those whose apps fall outside the popular gaming sector. In a nutshell, the IAP fee cross-subsidizes the delivery of services to the approximately 80% of apps on the App Store that are free and pay no IAP fees.

In fact, the overwhelming irony of Epic’s proposed approach is that Apple could avoid condemnation if it made its overall platform more restrictive. If, for example, Apple had not adopted an App Store model and offered a completely closed and fully integrated device, there would be no question of relative costs and benefits imposed on independent app developers; there would be no independent developers on the iOS platform at all.

Thus, Epic’s proposed LRA approach, which amounts to converting iOS to an open platform, proves too much. It would enable any contractual or employment relationship for a complementary product or service to be challenged because it could be offered through a “less restrictive” open market mechanism—in other words, that any integrated firm should be converted into an open platform.

At least since the Supreme Court’s seminal 1977 Sylvania ruling, U.S. antitrust law has been unequivocal in its preference for interbrand over intrabrand competition. Paradoxically, turning a closed platform into an open one (as Epic intends) would, under the guise of protecting competition, actually destroy competition where it matters most: at the interbrand, systems level.

Conclusion

Forcing Apple to adopt the “open” platform that Epic champions would reduce interbrand competition among platform providers. It would also more broadly allow antitrust plaintiffs to insist the courts modify routine business conduct any time a plaintiff’s attorney or district court can imagine a less restrictive version of a challenged practice, regardless of whether that practice nevertheless promotes consumer welfare. In the context of two-sided platform businesses, this would mean sacrificing systems-level competition for the sake of a superficial increase in competition among a small subset of platform users.

The bottom line is that an order compelling Apple to allow competing app stores would require the company to change the way in which it monetizes the App Store. This might have far-reaching distributional consequences for both groups— consumers and distributors. Courts (and, obviously, competitors) are ill-suited to act as social planners and to balance out such complex tradeoffs, especially in the absence of clear anticompetitive harm and the presence of plausible procompetitive benefits.

Amici Scholars Signing on to the Brief

(The ICLE brief presents the views of the individual signers listed below. Institutions are listed for identification purposes only.)

Alden Abbott Senior Research Fellow, Mercatus Center, George Mason University Former General Counsel, U.S. Federal Trade Commission	Ben Klein Professor of Economics Emeritus, University of California Los Angeles
Thomas C. Arthur L. Q. C. Lamar Professor of Law, Emory University School of Law	Peter Klein Professor of Entrepreneurship and Corporate Innovation, Baylor University, Hankamer School of Business
Dirk Auer Director of Competition Policy, International Center for Law & Economics Adjunct Professor, University of Liège (Belgium)	Jonathan Klick Charles A. Heimbold, Jr. Professor of Law, University of Pennsylvania Carey Law School
Jonathan M. Barnett Torrey H. Webb Professor of Law, University of Southern California, Gould School of Law	Daniel Lyons Professor of Law, Boston College Law School
Donald J. Boudreaux Professor of Economics, former Economics Department Chair, George Mason University	Geoffrey A. Manne President and Founder, International Center for Law & Economics Distinguished Fellow, Northwestern University Center on Law, Business & Economics
Giuseppe Colangelo Jean Monnet Chair in European Innovation Policy and Associate Professor of Competition Law and Economics, University of Basilicata and Libera Università Internazionale degli Studi Sociali	Francisco Marcos Associate Professor of Law, IE University Law School (Spain)
Anthony Dukes Chair and Professor of Marketing, University of Southern California, Marshall School of Business	Scott E. Masten Professor of Business Economics and Public Policy, University of Michigan, Ross Business School
Richard A. Epstein Laurence A. Tisch Professor of Law, New York University, School of Law James Parker Hall Distinguished Service Professor of Law Emeritus, University of Chicago Law School	Alan J. Meese Ball Professor of Law, College of William & Mary Law School
Vivek Ghosal Economics Department Chair and Virginia and Lloyd W. Rittenhouse Professor of Economics, Rensselaer Polytechnic Institute	Igor Nikolic Research Fellow, Robert Schuman Centre for Advanced Studies, European University Institute (Italy)
Janice Hauge Professor of Economics, University of North Texas	Paul H. Rubin Samuel Candler Dobbs Professor of Economics Emeritus, Emory University
Justin (Gus) Hurwitz Professor of Law, University of Nebraska College of Law	Vernon L. Smith George L. Argyros Endowed Chair in Finance and Economics and Professor of Economics and Law, Chapman University Nobel Laureate in Economics (2002)
Michael S. Jacobs Distinguished Research Professor of Law Emeritus, DePaul University College of Law	Michael Sykuta Associate Professor of Economics, University of Missouri
Mark A. Jamison Gerald Gunter Professor of the Public Utility Research Center, University of Florida, Warrington College of Business	Alexander “Sasha” Volokh Associate Professor of Law, Emory University School of Law

In Antitrust & Competition, Apple, Exclusionary Conduct, Exclusive Dealing, Platforms, Supreme Court, Truth on the Market, Tying, Vertical Restraints antitrust, App Store, Apple, Epic v. Apple, iOS, less restrictive alternatives, platforms, walled garden

In Apple v Epic, 9th Circuit Should Remember that Antitrust Forbids Enhancing, not Exercising, Market Power

Thom Lambert — 1 April 2022

On March 31, I and several other law and economics scholars filed an amicus brief in Epic Games v. Apple, which is on appeal to the U.S. Court of Appeals for Ninth Circuit. In this post, I summarize the central arguments of the brief, which was joined by Alden Abbott, Henry Butler, Alan Meese, Aurelien Portuese, and John Yun and prepared with the assistance of Don Falk of Schaerr Jaffe LLP.

First, some background for readers who haven’t followed the case.

Epic, maker of the popular Fortnite video game, brought antitrust challenges against two policies Apple enforces against developers of third-party apps that run on iOS, the mobile operating system for Apple’s popular iPhones and iPads. One policy requires that all iOS apps be distributed through Apple’s own App Store. The other requires that any purchases of digital goods made while using an iOS app utilize Apple’s In App Purchase system (IAP). Apple collects a share of the revenue from sales made through its App Store and using IAP, so these two policies provide a way for it to monetize its innovative app platform.

Epic maintains that Apple’s app policies violate the federal antitrust laws. Following a trial, the district court disagreed, though it condemned another of Apple’s policies under California state law. Epic has appealed the antitrust rulings against it.

My fellow amici and I submitted our brief in support of Apple to draw the Ninth Circuit’s attention to a distinction that is crucial to ensuring that antitrust promotes long-term consumer welfare: the distinction between the mere extraction of surplus through the exercise of market power and the enhancement of market power via the weakening of competitive constraints.

The central claim of our brief is that Epic’s antitrust challenges to Apple’s app store policies should fail because Epic has not shown that the policies enhance Apple’s market power in any market. Moreover, condemnation of the practices would likely induce Apple to use its legitimately obtained market power to extract surplus in a different way that would leave consumers worse off than they are under the status quo.

Mere Surplus Extraction vs. Market Power Extension

As the Supreme Court has observed, “Congress designed the Sherman Act as a ‘consumer welfare prescription.’” The Act endeavors to protect consumers from harm resulting from “market power,” which is the ability of a firm lacking competitive constraints to enhance its profits by reducing its output—either quantitively or qualitatively—from the level that would persist if the firm faced vigorous competition. A monopolist, for example, might cut back on the quantity it produces (to drive up market price) or it might skimp on quality (to enhance its per-unit profit margin). A firm facing vigorous competition, by contrast, couldn’t raise market price simply by reducing its own production, and it would lose significant sales to rivals if it raised its own price or unilaterally cut back on product quality. Market power thus stems from deficient competition.

As Dennis Carlton and Ken Heyer have observed, two different types of market power-related business behavior may injure consumers and are thus candidates for antitrust prohibition. One is an exercise of market power: an action whereby a firm lacking competitive constraints increases its returns by constricting its output so as to raise price or otherwise earn higher profit margins. When a firm engages in this sort of conduct, it extracts a greater proportion of the wealth, or “surplus,” generated by its transactions with its customers.

Every voluntary transaction between a buyer and seller creates surplus, which is the difference between the subjective value the consumer attaches to an item produced and the cost of producing and distributing it. Price and other contract terms determine how that surplus is allocated between the buyer and the seller. When a firm lacking competitive constraints exercises its market power by, say, raising price, it extracts for itself a greater proportion of the surplus generated by its sale.

The other sort of market power-related business behavior involves an effort by a firm to enhance its market power by weakening competitive constraints. For example, when a firm engages in unreasonably exclusionary conduct that drives its rivals from the market or increases their costs so as to render them less formidable competitors, its market power grows.

U.S. antitrust law treats these two types of market power-related conduct differently. It forbids behavior that enhances market power and injures consumers, but it permits actions that merely exercise legitimately obtained market power without somehow enhancing it. For example, while charging a monopoly price creates immediate consumer harm by extracting for the monopolist a greater share of the surplus created by the transaction, the Supreme Court observed in Trinko that “[t]he mere possession of monopoly power, and the concomitant charging of monopoly prices, is not . . . unlawful.” (See also linkLine: “Simply possessing monopoly power and charging monopoly prices does not violate [Sherman Act] § 2….”)

Courts have similarly refused to condemn mere exercises of market power in cases involving surplus-extractive arrangements more complicated than simple monopoly pricing. For example, in its Independent Ink decision, the U.S. Supreme Court expressly declined to adopt a rule that would have effectively banned “metering” tie-ins.

In a metering tie-in, a seller with market power on some unique product that is used with a competitively supplied complement that is consumed in varying amounts—say, a highly unique printer that uses standard ink—reduces the price of its unique product (the printer), requires buyers to also purchase from it their requirements of the complement (the ink), and then charges a supracompetitive price for the latter product. This allows the seller to charge higher effective prices to high-volume users of its unique tying product (buyers who use lots of ink) and lower prices to lower-volume users.

Assuming buyers’ use of the unique product correlates with the value they ascribe to it, a metering tie-in allows the seller to price discriminate, charging higher prices to buyers who value its unique product more. This allows the seller to extract more of the surplus generated by sales of its product, but it in no way extends the seller’s market power.

In refusing to adopt a rule that would have condemned most metering tie-ins, the Independent Ink Court observed that “it is generally recognized that [price discrimination] . . . occurs in fully competitive markets” and that tying arrangements involving requirements ties may be “fully consistent with a free, competitive market.” The Court thus reasoned that mere price discrimination and surplus extraction, even when accomplished through some sort of contractual arrangement like a tie-in, are not by themselves anticompetitive harms warranting antitrust’s condemnation.

The Ninth Circuit has similarly recognized that conduct that exercises market power to extract surplus but does not somehow enhance that power does not create antitrust liability. In Qualcomm, the court refused to condemn the chipmaker’s “no license, no chips” policy, which enabled it to enhance its profits by earning royalties on original equipment manufacturers’ sales of their high-priced products.

In reversing the district court’s judgment in favor of the FTC, the Ninth Circuit conceded that Qualcomm’s policies were novel and that they allowed it to enhance its profits by extracting greater surplus. The court refused to condemn the policies, however, because they did not injure competition by weakening competitive constraints:

This is not to say that Qualcomm’s “no license, no chips” policy is not “unique in the industry” (it is), or that the policy is not designed to maximize Qualcomm’s profits (Qualcomm has admitted as much). But profit-seeking behavior alone is insufficient to establish antitrust liability. As the Supreme Court stated in Trinko, the opportunity to charge monopoly prices “is an important element of the free-market system” and “is what attracts ‘business acumen’ in the first place; it induces risk taking that produces innovation and economic growth.”

The Qualcomm court’s reference to Trinko highlights one reason courts should not condemn exercises of market power that merely extract surplus without enhancing market power: allowing such surplus extraction furthers dynamic efficiency—welfare gain that accrues over time from the development of new and improved products and services.

Dynamic efficiency results from innovation, which entails costs and risks. Firms are more willing to incur those costs and risks if their potential payoff is higher, and an innovative firm’s ability to earn supracompetitive profits off its “better mousetrap” enhances its payoff.

Allowing innovators to extract such profits also helps address the fact most of the benefits of product innovation inure to people other than the innovator. Private actors often engage in suboptimal levels of behaviors that produce such benefit spillovers, or “positive externalities,” because they bear all the costs of those behaviors but capture just a fraction of the benefit produced. By enhancing the benefits innovators capture from their innovative efforts, allowing non-power-enhancing surplus extraction helps generate a closer-to-optimal level of innovative activity.

Not only do supracompetitive profits extracted through the exercise of legitimately obtained market power motivate innovation, they also enable it by helping to fund innovative efforts. Whereas businesses that are forced by competition to charge prices near their incremental cost must secure external funding for significant research and development (R&D) efforts, firms collecting supracompetitive returns can finance R&D internally. Indeed, of the top fifteen global spenders on R&D in 2018, eleven were either technology firms accused of possessing monopoly power (#1 Apple, #2 Alphabet/Google, #5 Intel, #6 Microsoft, #7 Apple, and #14 Facebook) or pharmaceutical companies whose patent protections insulate their products from competition and enable supracompetitive pricing (#8 Roche, #9 Johnson & Johnson, #10 Merck, #12 Novartis, and #15 Pfizer).

In addition to fostering dynamic efficiency by motivating and enabling innovative efforts, a policy acquitting non-power-enhancing exercises of market power allows courts to avoid an intractable question: which instances of mere surplus extraction should be precluded?

Precluding all instances of surplus extraction by firms with market power would conflict with precedents like Trinko and linkLine (which say that legitimate monopolists may legally charge monopoly prices) and would be impracticable given the ubiquity of above-cost pricing in niche and brand-differentiated markets.

A rule precluding surplus extraction when accomplished by a practice more complicated that simple monopoly pricing—say, some practice that allows price discrimination against buyers who highly value a product—would be both arbitrary and backward. The rule would be arbitrary because allowing supracompetitive profits from legitimately obtained market power motivates and enables innovation regardless of the means used to extract surplus. The rule would be backward because, while simple monopoly pricing always reduces overall market output (as output-reduction is the very means by which the producer causes price to rise), more complicated methods of extracting surplus, such as metering tie-ins, often enhance market output and overall social welfare.

A third possibility would be to preclude exercising market power to extract more surplus than is necessary to motivate and enable innovation. That position, however, would require courts to determine how much surplus extraction is required to induce innovative efforts. Courts are poorly positioned to perform such a task, and their inevitable mistakes could significantly chill entrepreneurial activity.

Consider, for example, a firm contemplating a $5 million investment that might return up to $50 million. Suppose the managers of the firm weighed expected costs and benefits and decided the risky gamble was just worth taking. If the gamble paid off but a court stepped in and capped the firm’s returns at $20 million—a seemingly generous quadrupling of the firm’s investment—future firms in the same position would not make similar investments. After all, the firm here thought this gamble was just barely worth taking, given the high risk of failure, when available returns were $50 million.

In the end, then, the best policy is to draw the line as both the U.S. Supreme Court and the Ninth Circuit have done: Whereas enhancements of market power are forbidden, merely exercising legitimately obtained market power to extract surplus is permitted.

Apple’s Policies Do Not Enhance Its Market Power

Under the legal approach described above, the two Apple policies Epic has challenged do not give rise to antitrust liability. While the policies may boost Apple’s profits by facilitating its extraction of surplus from app transactions on its mobile devices, they do not enhance Apple’s market power in any conceivable market.

As the creator and custodian of the iOS operating system, Apple has the ability to control which applications will run on its iPhones and iPads. Developers cannot produce operable iOS apps unless Apple grants them access to the Application Programming Interfaces (APIs) required to enable the functionality of the operating system and hardware. In addition, Apple can require developers to obtain digital certificates that will enable their iOS apps to operate. As the district court observed, “no certificate means the code will not run.”

Because Apple controls which apps will work on the operating system it created and maintains, Apple could collect the same proportion of surplus it currently extracts from iOS app sales and in-app purchases on iOS apps even without the policies Epic is challenging. It could simply withhold access to the APIs or digital certificates needed to run iOS apps unless developers promised to pay it 30% of their revenues from app sales and in-app purchases of digital goods.

This means that the challenged policies do not give Apple any power it doesn’t already possess in the putative markets Epic identified: the markets for “iOS app distribution” and “iOS in-app payment processing.”

The district court rejected those market definitions on the ground that Epic had not established cognizable aftermarkets for iOS-specific services. It defined the relevant market instead as “mobile gaming transactions.” But no matter. The challenged policies would not enhance Apple’s market power in that broader market either.

In “mobile gaming transactions” involving non-iOS (e.g., Android) mobile apps, Apple’s policies give it no power at all. Apple doesn’t distribute non-iOS apps or process in-app payments on such apps. Moreover, even if Apple were to being doing so—say, by distributing Android apps in its App Store or allowing producers of Android apps to include IAP as their in-app payment system—it is implausible that Apple’s policies would allow it to gain new market power. There are giant, formidable competitors in non-iOS app distribution (e.g., Google’s Play Store) and in payment processing for non-iOS in-app purchases (e.g., Google Play Billing). It is inconceivable that Apple’s policies would allow it to usurp so much scale from those rivals that Apple could gain market power over non-iOS mobile gaming transactions.

That leaves only the iOS segment of the mobile gaming transactions market. And, as we have just seen, Apple’s policies give it no new power to extract surplus from those transactions; because it controls access to iOS, it could do so using other means.

Nor do the challenged policies enable Apple to maintain its market power in any conceivable market. This is not a situation like Microsoft where a firm in a market adjacent to a monopolist’s could somehow pose a challenge to that monopolist, and the monopolist nips the potential competition in the bud by reducing the potential rival’s scale. There is no evidence in the record to support the (implausible) notion that rival iOS app stores or in-app payment processing systems could ever evolve in a manner that would pose a challenge to Apple’s position in mobile devices, mobile operating systems, or any other market in which it conceivably has market power.

Epic might retort that but for the challenged policies, rivals could challenge Apple’s market share in iOS app distribution and in-app purchase processing. Rivals could not, however, challenge Apple’s market power in such markets, as that power stems from its control of iOS. The challenged policies therefore do not enable Apple to shore up any existing market power.

Alternative Means of Extracting Surplus Would Likely Reduce Consumer Welfare

Because the policies Epic has challenged are not the source of Apple’s ability to extract surplus from iOS app transactions, judicial condemnation of the policies would likely induce Apple to extract surplus using different means. Changing how it earns profits off iOS app usage, however, would likely leave consumers worse off than they are under the status quo.

Apple could simply charge third-party app developers a flat fee for access to the APIs needed to produce operable iOS apps but then allow them to distribute their apps and process in-app payments however they choose. Such an approach would allow Apple to monetize its innovative app platform while permitting competition among providers of iOS app distribution and in-app payment processing services. Relative to the status quo, though, such a model would likely reduce consumer welfare by:

Reducing the number of free and niche apps,as app developers could no longer avoid a fee to Apple by adopting a free (likely ad-supported) business model, and producers of niche apps may not generate enough revenue to justify Apple’s flat fee;
Raising business risks for app developers, who, if Apple cannot earn incremental revenue off sales and use of their apps, may face a greater likelihood that the functionality of those apps will be incorporated into future versions of iOS;
Reducing Apple’s incentive to improve iOS and its mobile devices, as eliminating Apple’s incremental revenue from app usage reduces its motivation to make costly enhancements that keep users on their iPhones and iPads;
Raising the price of iPhones and iPads and generating deadweight loss, as Apple could no longer charge higher effective prices to people who use apps more heavily and would thus likely hike up its device prices, driving marginal consumers from the market; and
Reducing user privacy and security, as jettisoning a closed app distribution model (App Store only) would impair Apple’s ability to screen iOS apps for features and bugs that create security and privacy risks.

An alternative approach—one that would avoid many of the downsides just stated by allowing Apple to continue earning incremental revenue off iOS app usage—would be for Apple to charge app developers a revenue-based fee for access to the APIs and other amenities needed to produce operable iOS apps. That approach, however, would create other costs that would likely leave consumers worse off than they are under the status quo.

The policies Epic has challenged allow Apple to collect a share of revenues from iOS app transactions immediately at the point of sale. Replacing those policies with a revenue-based API license system would require Apple to incur additional costs of collecting revenues and ensuring that app developers are accurately reporting them. In order to extract the same surplus it currently collects—and to which it is entitled given its legitimately obtained market power—Apple would have to raise its revenue-sharing percentage above its current commission rate to cover its added collection and auditing costs.

The fact that Apple has elected not to adopt this alternative means of collecting the revenues to which it is entitled suggests that the added costs of moving to the alternative approach (extra collection and auditing costs) would exceed any additional consumer benefit such a move would produce. Because Apple can collect the same revenue percentage from app transactions two different ways, it has an incentive to select the approach that maximizes iOS app transaction revenues. That is the approach that creates the greatest value for consumers and also for Apple.

If Apple believed that the benefits to app users of competition in app distribution and in-app payment processing would exceed the extra costs of collection and auditing, it would have every incentive to switch to a revenue-based licensing regime and increase its revenue share enough to cover its added collection and auditing costs. As such an approach would enhance the net value consumers receive when buying apps and making in-app purchases, it would raise overall app revenues, boosting Apple’s bottom line. The fact that Apple has not gone in this direction, then, suggests that it does not believe consumers would receive greater benefit under the alternative system. Apple might be wrong, of course. But it has a strong motivation to make the consumer welfare-enhancing decision here, as doing so maximizes its own profits.

The policies Epic has challenged do not enhance or shore up Apple’s market power, a salutary pre-requisite to antitrust liability. Furthermore, condemning the policies would likely lead Apple to monetize its innovative app platform in a manner that would reduce consumer welfare relative to the status quo. The Ninth Circuit should therefore affirm the district court’s rejection of Epic’s antitrust claims.

Italy’s Google and Apple Decisions: Regulatory Paternalism and Overenforcement

Lazar Radic — 10 December 2021

The Autorità Garante della Concorenza e del Mercato (AGCM), Italy’s competition and consumer-protection watchdog, on Nov. 25 handed down fines against Google and Apple of €10 million each—the maximum penalty contemplated by the law—for alleged unfair commercial practices. Ultimately, the two decisions stand as textbook examples of why regulators should, wherever possible, strongly defer to consumer preferences, rather than substitute their own.

The Alleged Infringements

The AGCM has made two practically identical cases built around two interrelated claims. The first claim is that the companies have not properly informed users that the data they consent to share will be used for commercial purposes. The second is that, by making users opt out if they don’t want to consent to data sharing, the companies unduly restrict users’ freedom of choice and constrain them to accept terms they would not have otherwise accepted.

According to the AGCM, Apple and Google’s behavior infringes Articles 20, 21, 22, 24 and 25 of the Italian Consumer Code. The first three provisions prohibit misleading business practices, and are typically applied to conduct such as lying, fraud, the sale of unsafe products, or the omission or otherwise deliberate misrepresentation of facts in ways that would deceive the average user. The conduct caught by the first claim would allegedly fall into this category.

The last two provisions, by contrast, refer to aggressive business practices such as coercion, blackmail, verbal threats, and even physical harassment capable of “limiting the freedom of choice of users.” The conduct described in the second claim would fall here.

The First Claim

The AGCM’s first claim does not dispute that the companies informed users about the commercial use of their data. Instead, the authority argues that the companies are not sufficiently transparent in how they inform users.

Let’s start with Google. Upon creating a Google ID, users can click to view the “Privacy and Terms” disclosure, which details the types of data that Google processes and the reasons that it does so. As Figure 1 below demonstrates, the company explains that it processes data: “to publish personalized ads, based on your account settings, on Google services as well as on other partner sites and apps” (translation of the Italian text highlighted in the first red rectangle). Below, under the “data combination” heading, the user is further informed that: “in accordance with the settings of your account, we show you personalized ads based on the information gathered from your combined activity on Google and YouTube” (the section in the second red rectangle).

**Figure 1**: ACGM Google decision, p. 7

After creating a Google ID, a pop-up once again reminds the user that “this Google account is configured to include the personalization function, which provides tips and personalized ads based on the information saved on your account. [And that] you can select ‘other options’ to change the personalization settings as well as the information saved in your account.”

The AGCM sees two problems with this. First, the user must click on “Privacy and Terms” to be told what Google does with their data and why. Viewing this information is not simply an unavoidable step in the registration process. Second, the AGCM finds it unacceptable that the commercial use of data is listed together with other, non-commercial uses, such as improved quality, security, etc. (the other items listed in Figure 1). The allegation is that this leads to confusion and makes it less likely that users will notice the commercial aspects of data usage.

A similar argument is made in the Apple decision, where the AGCM similarly contends that users are not properly informed that their data may be used for commercial purposes. As shown in Figure 2, upon creating an Apple ID, users are asked to consent to receive “communications” (notifications, tips, and updates on Apple products, services, and software) and “Apps, music, TV, and other” (latest releases, exclusive content, special offers, tips on apps, music, films, TV programs, books, podcasts, Apple Pay and others).

If users click on “see how your data is managed”—located just above the “Continue” button, as shown in Figure 2—they are taken to another page, where they are given more detailed information about what data Apple collects and how it is used. Apple discloses that it may employ user data to send communications and marketing e-mails about new products and services. Categories are clearly delineated and users are reminded that, if they wish to change their marketing email preferences, they can do so by going to appleid.apple.com. The word “data” is used 40 times and the taxonomy of the kind of data gathered by Apple is truly comprehensive. See for yourself.

The App Store, Apple Book Store, and iTunes Store have similar clickable options (“see how your data is managed”) that lead to pages with detailed information about how Apple uses data. This includes unambiguous references to so-called “commercial use” (e.g., “Apple uses information on your purchases, downloads, and other activities to send you tailored ads and notifications relative to Apple marketing campaigns.”)

But these disclosures failed to convince the AGCM that users are sufficiently aware that their data may be used for commercial purposes. The two reasons cited in the opinion mirror those in the Google decision. First, the authority claims that the design of the “see how your data is managed” option does not “induce the user to click on it” (see the marked area in Figure 2). Further, it notes that accessing the “Apple ID Privacy” page requires a “voluntary and eventual [i.e., hypothetical]” action by the user. According to the AGCM, this leads to a situation in which “the average user” is not “directly and intuitively” aware of the magnitude of data used for commercial purposes, and is instead led to believe that data is shared to improve the functionality of the Apple product and the Apple ecosystem.

The Second Claim

The AGCM’s second claim contends that the opt-out mechanism used by both Apple and Google “limits and conditions” users’ freedom of choice by nudging them toward the companies’ preferred option—i.e., granting the widest possible consent to process data for commercial use.

In Google’s case, the AGCM first notes that, when creating a Google ID, a user must take an additional discretionary step before they can opt out of data sharing. This refers to mechanism in which a user must click the words “OTHER OPTIONS,” in bright blue capitalized font, as shown in Figure 3 below (first blue rectangle, upper right corner).

***Figure 3:*** AGCM Google decision, p. 22

The AGCM’s complaint here is that it is insufficient to grant users merely the possibility of opting out, as Google does. Rather, the authority contends, users must be explicitly asked whether they wish to share their data. As in the first claim, the AGCM holds that questions relating to the commercial use of data must be woven in as unavoidable steps in the registration process.

The AGCM also posits that the opt-out mechanism itself (in the lower left corner of Figure 3) “restricts and conditions” users’ freedom of choice by preventing them from “expressly and preventively” manifesting their real preferences. The contention is that, if presented with an opt-in checkbox, users would choose differently—and thus, from the authority’s point of view, choose correctly. Indeed, the AGCM concludes from the fact that the vast majority of users have not opted out from data sharing (80-100%, according to the authority), that the only reasonable conclusion is that “a significant number of subscribers have been induced to make a commercial decision without being aware of it.”

A similar argument is made in the Apple decision. Here, the issue is the supposed difficulty of the opt-out mechanism, which the AGCM describes as “intricate and non-immediate.” If a user wishes to opt out of data sharing, he or she would not only have to “uncheck” the checkboxes displayed in Figure 2, but also do the same in the Apple Store with respect to their preferences for other individual Apple products. This “intricate” process generally involves two to three steps. For instance, to opt out of “personalized tips,” a user must first go to Settings, then select their name, then multimedia files, and then “deactivate personalized tips.”

According to the AGCM, the registration process is set up in such a way that the users’ consent is not informed, free, and specific. It concludes:

The consumer, entangled in this system, of which he is not aware, is conditioned in his choices, undergoing the transfer of his data, which the professional can dispose of for his own promotional purposes.

The AGCM’s decisions fail on three fronts. They are speculative, paternalistic, and subject to the Nirvana Fallacy. They are also underpinned by an extremely uncharitable conception of what the “average user” knows and understands.

Epistemic Modesty Under Uncertainty

The AGCM makes far-reaching and speculative assumptions about user behavior based on incomplete knowledge. For instance, both Google and Apple’s registration processes make clear that they gather users’ data for advertising purposes—which, especially in the relevant context, cannot be interpreted by a user as anything but “commercial” (even under the AGCM’s pessimistic assumptions about the “average user.”) It’s true that the disclosure requires the user to click “see how your data is managed” (Apple) or “Privacy and Terms” (Google). But it’s not at all clear that this is less transparent than, say, the obligatory scroll-text that most users will ignore before blindly clicking to accept.

For example, in registering for a Blizzard account (a gaming service), users are forced to read the company’s lengthy terms and conditions, with information on the “commercial use” of data buried somewhere in a seven-page document of legalese. Does it really follow from this that Blizzard users are better informed about the commercial use of their data? I don’t think so.

Rather than the obligatory scroll-text, the AGCM may have in mind some sort of pop-up screen. But would this mean that companies should also include separate, obligatory pop-ups for every other relevant aspect of their terms and conditions? This would presumably take us back to square one, as the AGCM’s complaint was that Google amalgamated commercial and non-commercial uses of data under the same title. Perhaps the pop-up for the commercial use of data would have to be made more conspicuous. This would presumably require a normative hierarchy of the companies’ terms and conditions, listed in order of relevance for users. That would raise other thorny questions. For instance, should information about the commercial use of data be more prominently displayed than information about safety and security?

A reasonable alternative—especially under conditions of uncertainty—would be to leave Google and Apple alone to determine the best way to inform consumers, because nobody reads the terms and conditions anyway, no matter how they are presented. Moreover, the AGCM offers no evidence to support its contention that companies’ opt-out mechanisms lead more users to share their data than would freely choose to do so.

Whose Preferences?

The AGCM also replaces revealed user preferences with its own view of what those preferences should be. For instance, the AGCM doesn’t explain why opting to share data for commercial purposes would be, in principle, a bad thing. There are a number of plausible and legitimate explanations for why a user would opt for more generous data-sharing arrangements: they may believe that data sharing will improve their experience; may wish to receive tailored ads rather than generic ones; or may simply value a company’s product and see data sharing as a fair exchange. None of these explanations—or, indeed, any others—are ever contemplated in the AGCM decision.

Assuming that opt-outs, facultative terms and conditions screens, and two-to-three-step procedures to change one’s preferences truncate users’ “freedom of choice” is paternalistic and divorced from the reality of the average person, and the average Italian.

Ideal or Illegal?

At the heart of the AGCM decisions is the notion that it is proper to punish market actors wherever the real doesn’t match a regulator’s vision of the ideal—commonly known as “the Nirvana fallacy.” When the AGCM claims that Apple and Google do not properly disclose the commercial use of user data, or that the offered opt-out mechanism is opaque or manipulative, the question is: compared to what? There will always be theoretically “better” ways of granting users the choice to opt out of sharing their data. The test should not be whether a company falls short of some ideal imagined practice, but whether the existing mechanism actually deceives users.

There is nothing in the AGCM’s decisions to suggest that it does. Depending on how precipitously one lowers the bar for what the “average user” would understand, just about any intervention might be justified, in principle. But to justify the AGCM’s intervention in this case requires stretching the plausible ignorance of the average user to its absolute theoretical limits.

Conclusion

Even if a court were to buy the AGCM’s impossibly low view of the “average user” and grant the first claim—which would be unfortunate, but plausible — not even the most liberal reading of Articles 24 and 25 can support the view that “overly complex, non-immediate” opt-outs, as interpreted by the AGCM, limit users’ freedom of choice in any way comparable to the type of conduct described in those provisions (coercion, blackmail, verbal threats, etc.)

The AGCM decisions are shot through with unsubstantiated assumptions about users’ habits and preferences, and risk imposing undue burdens not only on the companies, but on users themselves. With some luck, they will be stricken down by a sensible judge. In the meantime, however, the trend of regulatory paternalism and over-enforcement continues. Much like in the United States, where the Federal Trade Commission (FTC) has occasionally engaged in product-design decisions that substitute the commission’s own preferences for those of consumers, regulators around the world continue to think they know better than consumers about what’s in their best interests.

In Apple, European Union, Google, International, Platforms Apple, consumer protection, google, italy

Mandatory Interoperability Is Not a ‘Super Tool’ for Platform Competition

Sam Bowman — 29 November 2021

On both sides of the Atlantic, 2021 has seen legislative and regulatory proposals to mandate that various digital services be made interoperable with others. Several bills to do so have been proposed in Congress; the EU’s proposed Digital Markets Act would mandate interoperability in certain contexts for “gatekeeper” platforms; and the UK’s competition regulator will be given powers to require interoperability as part of a suite of “pro-competitive interventions” that are hoped to increase competition in digital markets.

The European Commission plans to require Apple to use USB-C charging ports on iPhones to allow interoperability among different chargers (to save, the Commission estimates, two grams of waste per-European per-year). Interoperability demands for forms of interoperability have been at the center of at least two major lawsuits: Epic’s case against Apple and a separate lawsuit against Apple by the app called Coronavirus Reporter. In July, a group of pro-intervention academics published a white paper calling interoperability “the ‘Super Tool’ of Digital Platform Governance.”

What is meant by the term “interoperability” varies widely. It can refer to relatively narrow interventions in which user data from one service is made directly portable to other services, rather than the user having to download and later re-upload it. At the other end of the spectrum, it could mean regulations to require virtually any vertical integration be unwound. (Should a Tesla’s engine be “interoperable” with the chassis of a Land Rover?) And in between are various proposals for specific applications of interoperability—some product working with another made by another company.

Why Isn’t Everything Interoperable?

The world is filled with examples of interoperability that arose through the (often voluntary) adoption of standards. Credit card companies oversee massive interoperable payments networks; screwdrivers are interoperable with screws made by other manufacturers, although different standards exist; many U.S. colleges accept credits earned at other accredited institutions. The containerization revolution in shipping is an example of interoperability leading to enormous efficiency gains, with a government subsidy to encourage the adoption of a single standard.

And interoperability can emerge over time. Microsoft Word used to be maddeningly non-interoperable with other word processors. Once OpenOffice entered the market, Microsoft patched its product to support OpenOffice files; Word documents now work slightly better with products like Google Docs, as well.

But there are also lots of things that could be interoperable but aren’t, like the Tesla motors that can’t easily be removed and added to other vehicles. The charging cases for Apple’s AirPods and Sony’s wireless earbuds could, in principle, be shaped to be interoperable. Medical records could, in principle, be standardized and made interoperable among healthcare providers, and it’s easy to imagine some of the benefits that could come from being able to plug your medical history into apps like MyFitnessPal and Apple Health. Keurig pods could, in principle, be interoperable with Nespresso machines. Your front door keys could, in principle, be made interoperable with my front door lock.

The reason not everything is interoperable like this is because interoperability comes with costs as well as benefits. It may be worth letting different earbuds have different designs because, while it means we sacrifice easy interoperability, we gain the ability for better designs to be brought to market and for consumers to have choice among different kinds. We may find that, while digital health records are wonderful in theory, the compliance costs of a standardized format might outweigh those benefits.

Manufacturers may choose to sell an expensive device with a relatively cheap upfront price tag, relying on consumer “lock in” for a stream of supplies and updates to finance the “full” price over time, provided the consumer likes it enough to keep using it.

Interoperability can remove a layer of security. I don’t want my bank account to be interoperable with any payments app, because it increases the risk of getting scammed. What I like about my front door lock is precisely that it isn’t interoperable with anyone else’s key. Lots of people complain about popular Twitter accounts being obnoxious, rabble-rousing, and stupid; it’s not difficult to imagine the benefits of a new, similar service that wanted everyone to start from the same level and so did not allow users to carry their old Twitter following with them.

There thus may be particular costs that prevent interoperability from being worth the tradeoff, such as that:

It might be too costly to implement and/or maintain.
It might prescribe a certain product design and prevent experimentation and innovation.
It might add too much complexity and/or confusion for users, who may prefer not to have certain choices.
It might increase the risk of something not working, or of security breaches.
It might prevent certain pricing models that increase output.
It might compromise some element of the product or service that benefits specifically from not being interoperable.

In a market that is functioning reasonably well, we should be able to assume that competition and consumer choice will discover the desirable degree of interoperability among different products. If there are benefits to making your product interoperable with others that outweigh the costs of doing so, that should give you an advantage over competitors and allow you to compete them away. If the costs outweigh the benefits, the opposite will happen—consumers will choose products that are not interoperable with each other.

In short, we cannot infer from the absence of interoperability that something is wrong, since we frequently observe that the costs of interoperability outweigh the benefits.

Of course, markets do not always lead to optimal outcomes. In cases where a market is “failing”—e.g., because competition is obstructed, or because there are important externalities that are not accounted for by the market’s prices—certain goods may be under-provided. In the case of interoperability, this can happen if firms struggle to coordinate upon a single standard, or because firms’ incentives to establish a standard are not aligned with the social optimum (i.e., interoperability might be optimal and fail to emerge, or vice versa).

But the analysis cannot stop here: just because a market might not be functioning well and does not currently provide some form of interoperability, we cannot assume that if it was functioning well that it would provide interoperability.

Interoperability for Digital Platforms

Since we know that many clearly functional markets and products do not provide all forms of interoperability that we could imagine them providing, it is perfectly possible that many badly functioning markets and products would still not provide interoperability, even if they did not suffer from whatever has obstructed competition or effective coordination in that market. In these cases, imposing interoperability would destroy value.

It would therefore be a mistake to assume that more interoperability in digital markets would be better, even if you believe that those digital markets suffer from too little competition. Let’s say, for the sake of argument, that Facebook/Meta has market power that allows it to keep its subsidiary WhatsApp from being interoperable with other competing services. Even then, we still would not know if WhatsApp users would want that interoperability, given the trade-offs.

A look at smaller competitors like Telegram and Signal, which we have no reason to believe have market power, demonstrates that they also are not interoperable with other messaging services. Signal is run by a nonprofit, and thus has little incentive to obstruct users for the sake of market power. Why does it not provide interoperability? I don’t know, but I would speculate that the security risks and technical costs of doing so outweigh the expected benefit to Signal’s users. If that is true, it seems strange to assume away the potential costs of making WhatsApp interoperable, especially if those costs may relate to things like security or product design.

Interoperability and Contact-Tracing Apps

A full consideration of the trade-offs is also necessary to evaluate the lawsuit that Coronavirus Reporter filed against Apple. Coronavirus Reporter was a COVID-19 contact-tracing app that Apple rejected from the App Store in March 2020. Its makers are now suing Apple for, they say, stifling competition in the contact-tracing market. Apple’s defense is that it only allowed COVID-19 apps from “recognised entities such as government organisations, health-focused NGOs, companies deeply credentialed in health issues, and medical or educational institutions.” In effect, by barring it from the App Store, and offering no other way to install the app, Apple denied Coronavirus Reporter interoperability with the iPhone. Coronavirus Reporter argues it should be punished for doing so.

No doubt, Apple’s decision did reduce competition among COVID-19 contact tracing apps. But increasing competition among COVID-19 contact-tracing apps via mandatory interoperability might have costs in other parts of the market. It might, for instance, confuse users who would like a very straightforward way to download their country’s official contact-tracing app. Or it might require access to certain data that users might not want to share, preferring to let an intermediary like Apple decide for them. Narrowing choice like this can be valuable, since it means individual users don’t have to research every single possible option every time they buy or use some product. If you don’t believe me, turn off your spam filter for a few days and see how you feel.

In this case, the potential costs of the access that Coronavirus Reporter wants are obvious: while it may have had the best contact-tracing service in the world, sorting it from other less reliable and/or scrupulous apps may have been difficult and the risk to users may have outweighed the benefits. As Apple and Facebook/Meta constantly point out, the security risks involved in making their services more interoperable are not trivial.

It isn’t competition among COVID-19 apps that is important, per se. As ever, competition is a means to an end, and maximizing it in one context—via, say, mandatory interoperability—cannot be judged without knowing the trade-offs that maximization requires. Even if we thought of Apple as a monopolist over iPhone users—ignoring the fact that Apple’s iPhones obviously are substitutable with Android devices to a significant degree—it wouldn’t follow that the more interoperability, the better.

A ‘Super Tool’ for Digital Market Intervention?

The Coronavirus Reporter example may feel like an “easy” case for opponents of mandatory interoperability. Of course we don’t want anything calling itself a COVID-19 app to have totally open access to people’s iPhones! But what’s vexing about mandatory interoperability is that it’s very hard to sort the sensible applications from the silly ones, and most proposals don’t even try. The leading U.S. House proposal for mandatory interoperability, the ACCESS Act, would require that platforms “maintain a set of transparent, third-party-accessible interfaces (including application programming interfaces) to facilitate and maintain interoperability with a competing business or a potential competing business,” based on APIs designed by the Federal Trade Commission.

The only nod to the costs of this requirement are provisions that further require platforms to set “reasonably necessary” security standards, and a provision to allow the removal of third-party apps that don’t “reasonably secure” user data. No other costs of mandatory interoperability are acknowledged at all.

The same goes for the even more substantive proposals for mandatory interoperability. Released in July 2021, “Equitable Interoperability: The ‘Super Tool’ of Digital Platform Governance” is co-authored by some of the most esteemed competition economists in the business. While it details obscure points about matters like how chat groups might work across interoperable chat services, it is virtually silent on any of the costs or trade-offs of its proposals. Indeed, the first “risk” the report identifies is that regulators might be too slow to impose interoperability in certain cases! It reads like interoperability has been asked what its biggest weaknesses are in a job interview.

Where the report does acknowledge trade-offs—for example, interoperability making it harder for a service to monetize its user base, who can just bypass ads on the service by using a third-party app that blocks them—it just says that the overseeing “technical committee or regulator may wish to create conduct rules” to decide.

Ditto with the objection that mandatory interoperability might limit differentiation among competitors – like, for example, how imposing the old micro-USB standard on Apple might have stopped us from getting the Lightning port. Again, they punt: “We recommend that the regulator or the technical committee consult regularly with market participants and allow the regulated interface to evolve in response to market needs.”

But if we could entrust this degree of product design to regulators, weighing the costs of a feature against its benefits, we wouldn’t need markets or competition at all. And the report just assumes away many other obvious costs: “the working hypothesis we use in this paper is that the governance issues are more of a challenge than the technical issues.” Despite its illustrious panel of co-authors, the report fails to grapple with the most basic counterargument possible: its proposals have costs as well as benefits, and it’s not straightforward to decide which is bigger than which.

Strangely, the report includes a section that “looks ahead” to “Google’s Dominance Over the Internet of Things.” This, the report says, stems from the company’s “market power in device OS’s [that] allows Google to set licensing conditions that position Google to maintain its monopoly and extract rents from these industries in future.” The report claims this inevitability can only be avoided by imposing interoperability requirements.

The authors completely ignore that a smart home interoperability standard has already been developed, backed by a group of 170 companies that include Amazon, Apple, and Google, as well as SmartThings, IKEA, and Samsung. It is open source and, in principle, should allow a Google Home speaker to work with, say, an Amazon Ring doorbell. In markets where consumers really do want interoperability, it can emerge without a regulator requiring it, even if some companies have apparent incentive not to offer it.

If You Build It, They Still Might Not Come

Much of the case for interoperability interventions rests on the presumption that the benefits will be substantial. It’s hard to know how powerful network effects really are in preventing new competitors from entering digital markets, and none of the more substantial reports cited by the “Super Tool” report really try.

In reality, the cost of switching among services or products is never zero. Simply pointing out that particular costs—such as network effect-created switching costs—happen to exist doesn’t tell us much. In practice, many users are happy to multi-home across different services. I use at least eight different messaging apps every day (Signal, WhatsApp, Twitter DMs, Slack, Discord, Instagram DMs, Google Chat, and iMessage/SMS). I don’t find it particularly costly to switch among them, and have been happy to adopt new services that seemed to offer something new. Discord has built a thriving 150-million-user business, despite these switching costs. What if people don’t actually care if their Instagram DMs are interoperable with Slack?

None of this is to argue that interoperability cannot be useful. But it is often overhyped, and it is difficult to do in practice (because of those annoying trade-offs). After nearly five years, Open Banking in the UK—cited by the “Super Tool” report as an example of what it wants for other markets—still isn’t really finished yet in terms of functionality. It has required an enormous amount of time and investment by all parties involved and has yet to deliver obvious benefits in terms of consumer outcomes, let alone greater competition among the current accounts that have been made interoperable with other services. (My analysis of the lessons of Open Banking for other services is here.) Phone number portability, which is also cited by the “Super Tool” report, is another example of how hard even simple interventions can be to get right.

The world is filled with cases where we could imagine some benefits from interoperability but choose not to have them, because the costs are greater still. None of this is to say that interoperability mandates can never work, but their benefits can be oversold, especially when their costs are ignored. Many of mandatory interoperability’s more enthusiastic advocates should remember that such trade-offs exist—even for policies they really, really like.

5 Thoughts on the Senate’s Proposed Platform Self-Preferencing Ban

Sam Bowman & Geoffrey Manne — 14 October 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Breaking Down the American Choice and Innovation Online Act

Sam Bowman — 1 September 2021

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

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

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

Section 2(a)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Section 2(b)(2)

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

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

Section 2(b)(3)

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

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

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

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

Section 2(b)(5)

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

Section 2(b)(7)

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

Section 2(b)(8)

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

Section 2(b)(10)

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

Conclusion

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

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

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

The Klobuchar Bill’s Not-So-Bright Lines for Antitrust Scrutiny

Eric Fruits & Geoffrey Manne — 20 July 2021

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

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

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

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

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

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

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

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

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

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

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

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

3M	Danaher Corp.	PepsiCo
Abbott Laboratories	Deere & Co.	Pfizer
AbbVie	Eli Lilly and Co.	Philip Morris International
Adobe Inc.	ExxonMobil	Procter & Gamble
Advanced Micro Devices	Facebook Inc.	Qualcomm
Alphabet Inc.	General Electric Co.	Raytheon Technologies
Amazon	Goldman Sachs	Salesforce
American Express	Honeywell	ServiceNow
American Tower	IBM	Square Inc.
Amgen	Intel	Starbucks
Apple Inc.	Intuit	Target Corp.
Applied Materials	Intuitive Surgical	Tesla Inc.
AT&T	Johnson & Johnson	Texas Instruments
Bank of America	JPMorgan Chase	The Coca-Cola Co.
Berkshire Hathaway	Lockheed Martin	The Estée Lauder Cos.
BlackRock	Lowe’s	The Home Depot
Boeing	Mastercard	The Walt Disney Co.
Bristol Myers Squibb	McDonald’s	Thermo Fisher Scientific
Broadcom Inc.	Medtronic	T-Mobile US
Caterpillar Inc.	Merck & Co.	Union Pacific Corp.
Charles Schwab Corp.	Microsoft	United Parcel Service
Charter Communications	Morgan Stanley	UnitedHealth Group
Chevron Corp.	Netflix	Verizon Communications
Cisco Systems	NextEra Energy	Visa Inc.
Citigroup	Nike Inc.	Walmart
Comcast	Nvidia	Wells Fargo
Costco	Oracle Corp.	Zoom Video Communications
CVS Health	PayPal

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

Ally Financial	Freddie Mac
American International Group	KeyBank
BNY Mellon	M&T Bank
Capital One	Northern Trust
Citizens Financial Group	PNC Financial Services
Fannie Mae	Regions Financial Corp.
Fifth Third Bank	State Street Corp.
First Republic Bank	Truist Financial
Ford Motor Co.	U.S. Bancorp

Publicly traded companies with more than $100 billion in sales

AmerisourceBergen	Dell Technologies
Anthem	General Motors
Cardinal Health	Kroger
Centene Corp.	McKesson Corp.
Cigna	Walgreens Boots Alliance

Archives For Apple

Some Recent ‘Boss Battles’

Building Products Is Hard

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Platforms Should Behave ‘Reasonably’

But What Is ‘Reasonable’? And How Do We Get There?

Conclusion

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May 2007, Palo Alto

Present Day, Cupertino

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The Antitrust Section’s Comments

Departing from established antitrust-law principles

Opaque language for opaque ideas

Conclusion

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Introduction

Competitive Effects in Two-Sided Markets

Less Restrictive Alternatives and the Rule of Reason

Open Platforms Are not Necessarily Less Restrictive Platforms

Conclusion

Amici Scholars Signing on to the Brief

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The Alleged Infringements

Epistemic Modesty Under Uncertainty

Whose Preferences?

Ideal or Illegal?

Conclusion

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Why Isn’t Everything Interoperable?

Interoperability for Digital Platforms

Interoperability and Contact-Tracing Apps

A ‘Super Tool’ for Digital Market Intervention?

If You Build It, They Still Might Not Come

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Section 2(a)

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

Section 2(b)(2)

Section 2(b)(3)

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

Section 2(b)(5)

Section 2(b)(7)

Section 2(b)(8)

Section 2(b)(10)

Conclusion

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

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

Publicly traded companies with more than $100 billion in sales

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