Will AI solve the productivity puzzle? With Nick Bloom
AI productivity gains remain elusive—but business leaders say the inflection point is finally here.
Why it matters
Economist Nick Bloom weighs in on why AI hasn't yet delivered promised productivity improvements and what signals suggest that's about to change—a critical read for practitioners budgeting AI ROI and leaders justifying further investment.
The key facts
9 to knowExpert commentary from economist Nick Bloom on AI productivity paradox
Business leaders report emerging signals of productivity improvement
Timing: July 2026—2+ years into mainstream AI deployment without clear ROI
Focus on workplace/economic impact rather than technology capability
Nick Bloom (Stanford economist, productivity researcher) frames the analysis
Article acknowledges productivity gains have been absent or marginal until now
Business leaders now claiming productivity improvements are emerging
Timing: July 2026 — suggests 2-3 years post-widespread AI adoption in enterprises
FT source — credible business/economics publication
Go to the source
Financial Times Technologyft.com
Publisher excerpt: AI hasn’t resulted in widespread productivity gains. Business leaders say that’s changing