Here are Thibault Schrepel’s monthly reading suggestions. Topics include when and how to rescue efficiencies in horizontal merger control, recent U.S. antitrust decisions from April through June, a large language model that predicts case outcomes under Peruvian competition law, how competition authorities can adopt and govern generative AI, hub-and-spoke collusion through a third-party pricing algorithm,...Read More
Here are Thibault Schrepel's monthly reading suggestions. Topics include innovation on rugged technological landscapes and its implications for competition policy, the error costs of populist antitrust in the wake of the Spirit Airlines collapse, why low merger-prohibition rates say little about deterrence, a computational history of how the U.S. and German press talked about competition,...Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include AI agents and complexity economics in antitrust, the limits of the waterbed effect, Europe’s regulatory drift toward American dependence, the consumer value and 2026 trajectory of generative AI, agentic reproduction of social-science results, AI adoption among federal judges, the economics of long-running institutions like universities, the...Read More
Here are Thibault Schrepel's monthly reading suggestions. Topics include AI's reshaping of research and publishing, end-to-end automation of scientific inquiry, the economics of AI talent in universities, AI detectors' unintended effects on academic writing, using AI to audit EU regulation, economic growth and the rise of large firms, and the costs of disciplinary pivots in...Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include the constitutional limits of the Digital Markets Act, antitrust’s fixation on structural remedies, AI’s productivity impact on firms, the fickleness of scaling laws, generative AI in literature reviews and education, and a century-long view of business concentration.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include market power and competition regimes, the limits of AI scaling, the impact of large language models on scientific production, price discrimination, and broader questions of political and economic power.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include measure market power, nascent competition and killer acquisitions, the end of the Brussels effect, the welfare effect of price discrimination, great-powers competition, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include post-profit antitrust, anticompetitive directors, the dynamic competition approach, Moore's Law, GenAI and creativity, complex systems in AI, the scaling of norms, agentic reviewer, antitrust and industrial policy, great powers competition, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include economic analysis in the DMA, justice automated by AI, the innovation costs of extreme success, agent-based models, how Europe crushes innovation, futarchy, how to master writing, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include the DMA’s impacts on EU users, killer acquisitions, auditable AI systems, the political economy of the AI Act, GenAI and democracy, reinforcement learning in LLMs, AI agents in economics, adaptive regulation, and a special issue on the law, technology & economics of AI with contributions on...Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include AI openness, how AI improves itself, the unintended consequences of privacy regulation (it's bad), vertical integration and consumer choice, GenAI in legal education, classical liberalism, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include the economics of online default positions, what ant colonies can teach AI governance, how to run an LLM on your laptop, how AI is eating the Internet, the philosophy behind the big tech companies, robot regulators, measures of social media network effects, Perfect Days, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include computational antitrust, efficient data sharing, an assessment of the DMA, GenAI through the lens of complexity science, proposals to fix the GDPR, new measures of innovator networks, articles operationalizing dynamic competition, and more.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include: the populist challenge to consumer welfare standards in antitrust, AI startup competition and technological sovereignty, Bitcoin reserve skepticism and internet culture shifts, management’s role in firm performance, and research methodology penalties.Read More
Here are Thibault Schrepel’s monthly reading suggestions. Topics include: concentration in AI agents, computational antitrust, Lina Khan 2.0, AI liability, AI 2027, GDPR ineffectiveness, technological complexity, democracies and capitalism, the network science of philosophy, and more.Read More
