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...

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/

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.

How to implement the EU #AIAct without stifling innovation? Daniel Schnurr highlights 5 key challenges: risk mitigation, trade-offs, adaptability, value-chain responsibility & coherence with sectoral rules. www.networklawreview.org/schnurr-ai-a...

NEW: Korea’s new AI regime shows both promise and peril of overlapping regulators, argues Yo Sop Choi. The 2023 Digital Bill of Rights aims for coherence, but real clarity will hinge on agency coordination: www.networklawreview.org/choi-ai/

New @networklawreview.bsky.social piece by Kyohei Yamamoto & Yasunori Tabei summarizing Japan’s emerging AI regulation: a soft-law AI Bill, a JFTC market study on generative AI, and the new MSCA for mobile software www.networklawreview.org/yamamoto-tab....

NEW article by Nuno Cunha Rodrigues, President of Portuguese Competition Authority. He argues that AI disruption demands a new regulatory ecosystem where competition law works hand in hand with other public policies www.networklawreview.org/cunha-rodrig...

Generative AI exposes GDPR’s limits: consent at scale, accuracy of outputs, erasure in trained models. The fix isn’t more principles, says Florence G'sell (Stanford University), it’s adaptive institutions (EU AI Office, expert panels) and iterative rules. www.networklawreview.org/gsell-statut...

NEW: Jin, Wagman & Zhong show how privacy, security & cross-border data laws overlap with AI policies. These overlaps create trade-offs: innovation vs. protection, competition vs. compliance costs. They call for internationally coordinated AI/data gov www.networklawreview.org/jin-wagman-z...

NEW: @paulohm.bsky.social (Georgetown Law) argues that as AI drives the cost of compliance toward zero, debates on AI regulation should focus on its substance rather than its administrative burden www.networklawreview.org/ohm-ai-regul...

Here are my @profschrepel.bsky.social reading suggestions. Topics include AI openness, how AI improves itself, the unintended consequences of privacy regulation (it’s bad...), vertical integration and consumer choice, classical liberalism, and more. www.networklawreview.org/august-2025/

The NLR is publishing a new special issue: “The Law & Technology & Economics of AI.” It brings law, economics, and computer science together to spark new ideas for AI governance. The introduction features all contributors and the titles of their pieces: networklawreview.org/law-tech-eco...

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

Here are @profschrepel.bsky.social’s monthly reading suggestions. Topics include: concentration in AI agents, #computationalantitrust, Lina Khan 2.0, GDPR ineffectiveness, democracies & capitalism, the network science of philosophy, and more. www.networklawreview.org/april-2025/

In this new article, Raz Agranat and Michal Gal explore the competitive dynamics in emerging AI agent markets. They argue that positive feedback loops may enable dominant agents to outperform rivals by leveraging the advantages of scale & network effects www.networklawreview.org/ai-agents-ne....

The EU AI Act is one of the first attempts to regulate AI. Given that previous European digital regulations, such as the GDPR, have influenced laws all over the world, can we expect to see the AI Act as a global standard? @marcoalmada.com waves in www.networklawreview.org/almada-ai-act/.

NEW: "Rising Market Power: Evidence from Industry Studies" by Nathan Miller (Georgetown University McDonough School of Business) Key message: rising market power in the U.S. is largely driven by technological advances rather than weak antitrust enforcement. www.networklawreview.org/rising-marke...

Here are the world’s most downloaded #antitrust and competition law articles posted on @ssrn.bsky.social during 2024: networklawreview.org/top-2024/.

NEW: Catch up on everything that happened in U.S. antitrust over the past few months here: www.networklawreview.org/antidote-4/

The 10 most-read articles on the Network Law Review in 2024 (a thread 🧶)

Hello, digital, complex world.