Series

Andrew Gavil examines the Biden Administration's antitrust policy, placing it in the broader historical context of evolving competition law. He questions the fit of Kuhn’s concept of paradigm shift for antitrust policy and argues instead that Biden's initiatives reflect the unique demands of the digital economy and the true nature of antitrust, which is ever evolving.

Randy Stutz writes that the Biden administration has recalibrated antirust policy by devoting more equal enforcement attention to competition in buyers’ markets and sellers’ markets, thereby promoting the welfare of both suppliers and consumers. The shift raises questions about whether courts should engage in “multi-market balancing”—the weighing of harms in one market against benefits in a different market—when the interests of suppliers and consumers diverge.

Tim Brennan finds the new shift in antitrust thought and enforcement connected to the Neo-Brandeisian movement to be flawed for the most part. However, he writes that a reinvigorated focus on tacit collusion, which some have blamed on the rise of prices for groceries and apartment rents, may deserve consideration and further study.

Richard S. Markovits discusses the tests of illegality promulgated by United States antitrust law and their moral desirability. He also considers whether there have been any recent shifts in the paradigmatic approaches that are taken to these and other antitrust law/policy issues.

Steven C. Salop writes that the Biden administration oversaw a paradigm shift in antitrust, but it was the full adoption of the ideas of the Post-Chicago school, whose intellectual influence has countered Chicago since the 1980s, rather than the empowerment of the Anti-Monopoly or Neo-Brandeisian school of thought. This latter school of thought played an important role by motivating increased enforcement and corralling political support, even if it did not lead to cases that could not have been brought by Post-Chicagoans.

Daniel Francis reviews the evolutionary and revolutionary dimensions of the Biden administration’s antitrust work, and argues that these two projects have been in deep tension. He concludes that the administration’s evolutionary work within the welfarist paradigm has generated some important successes, but that the revolutionary effort to restore a pre-welfarist vision of antitrust has failed on its own terms — and, in failing, has left welfarism all the stronger.

Eleanor Fox writes that the paradigm shift in United States antitrust is not best understood as an embrace of neo-Brandeisian anti-bigness ideas but rather a rejection of neoliberal principles that have prevented effective antitrust regulation for decades. The shift encompasses the concerns and efforts of centrists, progressives, and neo-Brandeisians.

John W. Mayo reviews whether or not the articulated principles and priorities of the Neo-Brandeisian movement in antitrust scholarship and enforcement represent a “paradigm shift,” per the philosophy of Thomas Kuhn. Mayo finds that the Neo-Brandeisian discourse is best understood as situated within the continuum of the current antitrust paradigm, and that many of its efforts to substantiate its distinctive ideas have failed to properly ground them in empiricism or repudiate existing studies.

Both Donald Trump and Kamala Harris have proposed policies that encourage the redistribution of resources rather than maximizing efficiencies to grow the economic pie. Jeffrey Miron and Constantin Wells argue these preferences will harm the American economy and voters in the long term.

Stacey Dogan writes that antitrust regulators in the United States and Europe are right to investigate Big Tech-AI partnerships. Even if AI markets remain competitive today, history and economics show that the Big Tech companies will push to monopolize segments of the AI market if given the opportunity. The investigations serve as a deterrent against anticompetitive behavior and give the regulators access to the knowledge and information that will be necessary to detect anticompetitive patterns as the AI market matures.