This publication contains my latest reading suggestions, i.e., academic papers and articles I enjoyed reading in September 2026. You can follow me on X (@ProfSchrepel), LinkedIn (here) or BlueSky (here) to be notified of similar articles on a more regular basis. The Network Law Review is also available on X (@NetworkLawRev), BlueSky (here), and LinkedIn (here).
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The Competition System:
Here is what I published this month in The Competition System, where these monthly readings feed into my work:
- The Commission’s new Article 102 Guidelines stop one paragraph short
- Keeping a market where it is can now be the harm (Booking/eTraveli, T-1139/23)
- The European Innovation Act, tested
- The AI slowdown pact under EU law (Buist v. Anthropic)
Antitrust:
- Keeper Acquisitions: What Big Tech Keeps When It Buys (Unekbas – NLR)
- Dominance in Motion: A practical R&D-intensity test for dynamic markets (Padilla – NLR)
- Monopoly Causation (Hovenkamp – SSRN)
- Digital (Killer?) Acquisitions (Ederer, Seibel & Simcoe – NBER)
- Using Policy Functions to Estimate Merger Impacts (Gowrisankaran, Bruegge & Gross – NBER)
- The Next Five Years of Computational Antitrust (Schrepel – CPI)
- What 30 Antitrust Agencies Actually Do With AI (Computational Antitrust) 🎥
AI:
- Reimagining research papers as interactive and reliable AI agents (Miao et al. – Nature)
- The Economics of Recursive Self-Improvement (Cunningham et al. – arXiv)
- The Rise and Fall of Agent Civilizations (Dwarkesh Patel)
- An empirical critique of the DSA Transparency Database (Leijten – ICTL)
- Meet the Anthropic Officials Who Think AI Might Be Justified in Going Rogue (Sibarium – WF)
Academia:
- The Scholar’s Telescope: AI and the Public Purpose of Legal Scholarship (McGinnis – SSRN)
- The University after AI (Potts – SSRN)
- Why AI Detection Fails for Academic Integrity (Karr et al. – arXiv)
Others:
- Xavier Gabaix on The Shape of Big Things (Schrepel – Scaling Theory) 🎧 → Also on Spotify and Apple