Reading suggestions – January 2026

This publication contains my latest reading suggestions, i.e., academic papers and articles I enjoyed reading in January 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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Antitrust:

• The world’s most downloaded antitrust articles of 2025 (NLR)
• Refining Our Competition Regime (CMA)

AI:

• On the Slow Death of Scaling (Sara Hooker – SSRN)
• AI Models Are Starting to Learn by Asking Themselves Questions (Will Knight – Wired)

Digital:

• Scientific production in the era of large language models (Kusumegi et al. – Science)
• An Empirical Critique of the DSA Transparency Database (Eline Leijten – SSRN)

Econ:

• A.I. and Our Economic Future (Charles I. Jones)
• Markups and Business Dynamism across Industries (Albrecht & Decker – IJIO)
• The software complexity of nations (Sándor Juhász et al. – Research Policy)

Others:

• Cass Sunstein on Scaling Liberalism (Scaling Theory)
• A New Year’s letter to a young person (Luis Garicano – Substack)
• Balance of power (Vitalik Buterin)
• Kílian Jornet on What We Can Learn From Pushing Our Bodies to Extremes (Garcia-Navarro – NYT)

Thibault Schrepel
@ProfSchrepel