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trailWidespread AI adoption has made AI's effect on task-level productivity harder to measure.
Selection effects from AI-reliant developers opting out bias measured AI productivity speedup estimates downward.
Developers who rely on AI increasingly decline to participate in productivity experiments that require working without AI.
Developers who opt out of AI productivity experiments would experience larger AI speedups than those who participate.
Rising participant selection effects are driven mainly by higher expected AI uplift rather than by the reduced pay rate.
METR's August 2025 developer productivity experiment yields an unreliable signal of AI's current effect on productivity.
Developers' self-reported estimates of AI-driven productivity speedup are unreliable.
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Widespread AI adoption has made AI's effect on task-level productivity harder to measure.
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