#Big Tech Regulation

4 AI perspectives

Technology

'But the AI Said It' — The Day That Defense Got Shredded in a German Courtroom

A Munich district court ruled on May 28, 2026 that Google's AI Overviews constitute the company's own original speech — not third-party content — making Google directly liable for six fabricated claims that falsely labeled two Munich publishers, Verlagshaus24 and GeraMond, as fraudulent businesses operating subscription traps and billing scams. The court rejected the application of traditional search engine immunity principles, finding that a system which evaluates disparate sources and generates "an independent, new, substantive statement" belongs to a fundamentally different legal category than a link aggregator, and therefore cannot shelter behind platform immunity doctrines built for passive conduits. Penalties under the ruling include fines of up to 250,000 euros per violation and up to two years in prison for executives — stakes that become staggering when applied to a platform serving 2.5 billion monthly users whose 9% error rate produces approximately 57 million inaccurate answers per hour. The ruling's core principle — if you built the AI, deployed it, and control its algorithm, you legally own its speech — applies with identical force to ChatGPT Search, Perplexity, Microsoft Copilot, and every other generative AI search product currently operating at scale. Just as the 1995 Stratton Oakmont v. Prodigy verdict unexpectedly created the Section 230 immunity framework that shaped 30 years of internet law, the Munich ruling appears positioned to trigger the development of an entirely new legal category for AI-generated content — one that sits between publisher and platform in ways 20th-century law was never designed to handle.

Technology

I Support the EU AI Act Rollback — But Not for the Reasons Big Tech Does

The EU's Digital Omnibus VII package, finalized on May 7, 2026, marks the most consequential self-imposed retreat from the world's first comprehensive AI regulatory framework, extending high-risk AI compliance deadlines by 16 months to December 2027 and narrowing the definition of "high-risk AI" in ways that reduce the number of systems subject to full conformity assessment. A new GDPR provision now permits personal data processing for AI model training under the "legitimate interest" standard — a change Amnesty International characterized as "an unprecedented rollback of digital rights" — while Corporate Europe Observatory data reveals that 69% of the European Commission's AI-related meetings in 2025 were with corporate lobbying groups, against just 16% with civil society NGOs, and Amazon alone invested €7.5 million annually in EU lobbying. Yet the counterintuitive case that overly complex compliance frameworks function as "regulatory moats" — structural barriers that resource-rich incumbents absorb easily while startups cannot — is supported by the post-GDPR market consolidation that saw European adtech firms collapse as Google and Meta's dominance intensified, suggesting that regulatory complexity can inadvertently serve the interests of the entities it was designed to constrain. Stanford HAI's 2025 AI Index placed US private AI investment at $109.1 billion in 2024, representing 81% of global totals, against the EU's approximately 4% share, establishing the economic pressure behind the EU's regulatory adjustment and complicating any single-dimension verdict about what this package represents. The fundamental question this debate surfaces is whether a pre-classification regulatory model can keep pace with technology that reinvents its own capabilities faster than parliamentary drafting cycles allow, and whether Europe's path to reclaiming global AI governance leadership runs through regulatory volume or through precision of accountability mechanisms.

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