The largest artificial intelligence firms are able to afford access to quality data from content producers like the New York Times, while smaller startups are being left out. This dynamic risks concentrating markets and creating unassailable barriers to entry. Compulsory licenses offer one solution to lower barriers to entry for nascent AI firms without harming content producers and consumers, writes Kristelia García.
Christian Peukert argues that the market for licensing content from copyright owners like newspapers or online forums requires a standardized regime if access to this data, used to train artificial intelligence models, is to remain available for more than just the largest AI firms. A failure to maintain non-discriminatory access will result in the consolidation of both the AI and content production markets.
Is there a world where AI developers could get the training data they need through content licensing deals? Matthew Sag argues that content licensing deals between developers of artificial intelligence and content owners are only possible for large content owners and cannot feasibly apply to the bulk of producers and owners of content on the internet.
Large AI firms like OpenAI and Amazon are licensing content to train their models that they might otherwise have been able to access for free under the fair use doctrine. Mark A. Lemley and Jacob Noti-Victor write that this behavior may constitute anticompetitive acquiescence—where large firms agree to license content they don’t have to in order to raise rivals’ costs.
Hannah Pittock uses weight-loss company Novo Nordisk’s offer to acquire Metsera to create a three-prong framework by which the antitrust agencies can identify when an invitation to exclude a rival from a market constitutes illegal exclusionary conduct under Section 2 of the Sherman Act.
ProMarket Managing Editor Andy Shi reviews the controversy behind ExxonMobil’s new voting program and how it falls into the broader debates over recent developments to shareholder democracy and corporate governance.
Nikolaos Chatzarakis reviews some of the key economic platforms of New York City Mayor-elect Zohran Mamdani. He argues that Mamdani’s platform is ambitious but not unrealistic, and that criticisms of it often rely on simplistic models and theory. Still, there remain areas for improvement.
Roslyn Layton examines the recent Amazon Web Services outage and compares it with last year’s CrowdStrike outage to illustrate differences in scope, responsibility, and systemic impact. She argues that cloud providers should contribute to the Universal Service Fund, ensuring financial contribution to resilience and critical infrastructure for essential services.
Steve Salop explores the anticompetitive innovation behind weight-loss giant Novo Nordisk’s offer to acquire Metsera. Novo’s proposed contract presents a new tactic by which firms with market power can preclude rival mergers that will lead to procompetitive entry.
Richard Messick summarizes the output of last April’s Global Capitalism, Trust, and Accountability Conference, co-sponsored by the Stanford Graduate School of Business and the Center on Democracy, Development and the Rule of Law. Participants explored the mechanisms of international corruption and how citizens, states, and the international community can address them.