Are we thinking about AI and productivity all wrong?
Nobody is talking about this: AI productivity gains might be completely misdefined.
Why it matters
As organizations deploy AI agents at scale, the industry's reliance on self-reported productivity metrics may be masking deeper problems with how we measure work output and business value. A recalibration of measurement frameworks could reshape ROI expectations across enterprise AI adoption.
The key facts
6 to knowSelf-reported productivity estimates identified as unreliable measurement methodology
FT analysis challenges prevailing productivity narrative in AI adoption
Implications for enterprise ROI measurement and AI project evaluation
Self-reported productivity estimates identified as unreliable metric
Implies current AI productivity measurement frameworks may be fundamentally flawed
Published in Financial Times — signals mainstream business leadership audience concern
Go to the source
Financial Times Technologyft.com
Publisher excerpt: Self-reported estimates about how quickly work can be completed are not the most meaningful metric