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.