July reading suggestions are out. This month: a large-scale evaluation of merger simulations, the fragility of AI agent collusion, statistically undetectable backdoors in neural networks, user innovation, and why the big AI labs are hiring philosophers. networklawreview.org/july-2026/

Reading suggestions – July 2026 - Network Law Review

Here are Thibault Schrepel’s monthly reading suggestions. Topics include the European Commission’s draft merger guidelines, how well merger simulations predict price changes, why data neutrality can s...

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This month’s reading suggestions from @profschrepel.bsky.social are out. Inside: an LLM that predicts case outcomes, the fight over public ownership of the big AI labs, and whether you can tell when AI wrote the article. Plus Pinker on common knowledge. www.networklawreview.org/june-2026/

In memoriam: Marius Schwartz (Georgetown University) In tribute to Marius, we are republishing the article today. We extend our deepest condolences to his family, to Yongmin Chen, and to his many colleagues and friends. www.networklawreview.org/default-posi...

📚 April 2026 reading suggestions are out. AI agents meet complexity economics. The waterbed effect collapses. The AI moat wobbles. Europe drifts into American dependence. Hayek’s papers go online. Barabási on networks. By @profschrepel.bsky.social 👇 www.networklawreview.org/april-2026/

Reading suggestions – April 2026 - Network Law Review

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 d...

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✨New series✨ We introduce "Pott's of Arabia" wherein Jason Potts examines institutional market reforms toward innovation and competition in Saudi Arabia. First piece: a shift toward a dynamic competition paradigm. www.networklawreview.org/potts-arabia...

Introducing Dynamic Competition in the Middle East - Network Law Review

Saudi Arabia's Vision 2030 is the most ambitious economic transformation program in the world today, yet it is widely misunderstood in the West. This article introduces a new analytical framework to e...

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New issue of Competition Stories is out, open access, as always. This one covers: parallel investigations in digital markets, tying doctrine under pressure, Android Auto ruling, the €2.95B Google AdTech fine... EU competition law moves fast. We track it. networklawreview.org/competition-stories-two/

Here are @profschrepel.bsky.social's monthly reading suggestions. Topics include AI's reshaping of research and publishing, the economics of AI talent in universities, using AI to audit EU regulation, economic growth and the rise of large firms, and more... www.networklawreview.org/march-2026/

Reading suggestions – March 2026 - Network Law Review

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 universit...

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Where else can you read Hovenkamp on monopoly power, Acemoglu on taxing digital ads, case-law analysis, and curated monthly readings designed to keep you up to date without the noise? Subscribe ➝ networklawreview.org/subscribe (it's free!)

Is antitrust law about fairness? @sherman1890.bsky.social’s answer is clear: no, and it never was. In this piece, Prof. Hovenkamp dismantles the growing assumption in competition debates that antitrust should correct inequality or redistribute economic power. www.networklawreview.org/hovenkamp-fa...

Fairness and Redistribution in Antitrust Law - Network Law Review

Many parts of the legal system pursue “fair” distributions of wealth or economic status. Antitrust law does not. The antitrust statutes target practices that reduce output or threaten monopoly—measure...

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New on @networklawreview.bsky.social: Generative AI is increasing academic output. But when attention is scarce, output does not equal influence. The Matthew effect intensifies. Stratification follows www.networklawreview.org/matthew-effe...

The Matthew Effect at Scale: Attention Scarcity and the AI Output Explosion - Network Law Review

Generative AI is lowering the marginal cost of academic writing. A natural prediction is that this will allow more researchers to exercise scientific influence. This article argues that the effects ar...

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Here are Thibault Schrepel’s monthly reading suggestions. www.networklawreview.org/february-2026/ Topics include the constitutional limits of the Digital Markets Act, antitrust’s fixation on structural remedies, AI’s productivity impact on firms, generative AI in literature reviews and more!

Here are @profschrepel.bsky.social'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 more. www.networklawreview.org/january-2026/

Reading suggestions – January 2026 - Network Law Review

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, p...

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🚨 Just out: The world’s most downloaded antitrust articles of 2025 on SSRN 🚨 www.networklawreview.org/top-2025/

The world’s most downloaded antitrust articles of 2025 - Network Law Review

As for previous years, here are the world’s most downloaded antitrust and competition law articles posted on SSRN during 2025.

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Here are @profschrepel.bsky.social’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. www.networklawreview.org/december-2025/

Reading suggestions – December 2025 - Network Law Review

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 ...

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NEW: In this paper, William Lehr, Volker Stocker & Jason Whalley argue that EU digital sovereignty fails if it sacrifices intra-EU competition or confuses control with self-sufficiency, especially in the AI stack. www.networklawreview.org/lehr-stocker...

What if antitrust’s obsession with consumer welfare is hurting US competitiveness? Jonathan Barnett shows how global power politics (especially China’s mercantilism) force a fundamental rethink of US antitrust. Essential reading. www.networklawreview.org/barnett-grea...

Trade barriers can drive rivals like China to innovate, but true edge belongs to those plugged into global tech networks. The US-China chip conflict reveals the paradox of protectionism in industrial policy. 👉🏼 Read Dick Langlois on the subject: networklawreview.org/langlois-pro...

China and the Paradox of Protectionism? - Network Law Review

This special issue examines the coexistence of industrial and competition policy in a period of geopolitical rivalry and rapid technological change. The contributions analyze these tensions through th...

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What happens when data from one product quietly boosts a firm’s power in other markets? AI-era spillovers make leveraging strategies far more profitable, and far harder to evaluate. A must read, by Erik Hovenkamp (Cornell) networklawreview.org/hovenkamp-ai...

AI, Data, And Leveraging Strategies: Implications For Antitrust - Network Law Review

In product markets that rely heavily on artificial intelligence (AI), firms both use data and generate data. For a multiproduct firm, the data generated by one product will often have spillover benefi...

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Europe’s renewed push for industrial policy is a golden moment for antitrust agencies according to Frédéric Jenny (OECD). To stay relevant, he suggests they must embrace innovation, sustainability, resilience & growth. networklawreview.org/jenny-indust...

The Rise of Industrial Policy in Europe and the Search for Growth and Innovation: A Golden Opportunity for Competition Authorities - Network Law Review

This paper argues that the unintended and unanticipated costs of globalization revealed during the 2008 financial crisis and the 2020 COVID-19 pandemic have led to a renewed embrace of industrial poli...

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Here are @profschrepel.bsky.social's monthly reading suggestions about antitrust, AI, economics, and more: www.networklawreview.org/november-2025/

Antitrust is no longer a domestic game. Daniel Crane (University of Michigan Law School) maps how Great Powers use antitrust law as a geopolitical lever across tech, culture, finance, and even wartime supply chains. Read here 👇 www.networklawreview.org/crane-great-...

What happens when industrial policy moves from tariffs to invisible regulatory barriers? Daniel Spulber shows how non-tariff barriers distort trade & erode incentives to innovate. New in the NLR x ICLE special issue on competitiveness. 👉 networklawreview.org/spulber-indu...

Is “industrial policy” really back? Giovanni Dosi argues it’s mostly a dystopian reboot, more zero-sum than visionary-oriented strategy. Our new NLR–ICLE special issue starts with a bang. www.networklawreview.org/dosi-industr...

Industrial policy is back in fashion. From AI to semiconductors, governments are rethinking the balance between intervention and competition. This new issue (with ICLE) explores this tension. Read the introduction 👉 www.networklawreview.org/special-issu...

The EU's "future-proof" AI regulation is a fantasy. AI evolves through emergent properties—GPT-1 to GPT-4 was metamorphosis, not iteration. We need future-responsive regulation, not monuments By @profschrepel.bsky.social at @networklawreview.bsky.social www.networklawreview.org/schrepel-fut...

The Future-Proof Fantasy of AI Regulation - Network Law Review

The EU’s quest for “future-proof” AI regulation is a fantasy. AI evolves through emergent properties that defy prediction, yet Brussels continues to draft rules with an industrial, linear mindset. The...

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New Antitrust Antidote: Apple case moves ahead; per se tying theory on Hermès doesn’t fly; alleged algorithmic/benchmarking collusion suits stumble on pleadings... All you need to know about recent U.S. antitrust cases is here: www.networklawreview.org/antidote-7/

Here are @profschrepel.bsky.social’s monthly reading suggestions: DMA & EU users, killer acquisitions, auditable AI, AI Act political economy, GenAI & democracy, AI agents in econ, adaptive regulation + a special issue on law, tech & econ of AI: www.networklawreview.org/september-20...

The EU says its AI rules are “future proof.” They’re not, @profschrepel.bsky.social argues. Without adaptive regulation (modular rules, real-time monitoring, plural triggers, institutional memory) Brussels (and others!) will always be behind the curve. www.networklawreview.org/schrepel-fut...

What if competition law had to be personalized, i.e., tailored to firms, sectors, even algorithms? Adrian Kuenzler (University of Hong Kong) argues AI forces us to abandon one-size-fits-all enforcement. The age of bespoke antitrust is here www.networklawreview.org/kuenzler-ai/

Personalized Competition Law: The New Frontier of AI Market Governance - Network Law Review

Artificial Intelligence technologies prompt several doctrinal shifts in competition law. For AI market governance, this means moving toward personalized enforcement. Rather than applying one-size-fits...

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How can regulatory frameworks keep up in the age of #AI? New in @networklawreview.bsky.social, Visiting Professor @flogsell.bsky.social outlines how #GDPR provisions often fail to apply to AI systems, highlighting the need for more adaptive, flexible, and responsive regulatory approaches.

Statutory Obsolescence in the Age of Innovation: A Few Thoughts about GDPR - Network Law Review

This article examines the problem of statutory obsolescence in the regulation of rapidly evolving technologies, with a focus on GDPR and generative AI. It shows how core GDPR provisions on lawful proc...

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