GoKawiilEconomists flag gap between AI adoption and measured productivity gains
A Harvard Business Review contributor, writing with colleagues Nicole Radziwill and Todd McClees, revisits a December 2024 warning that enterprises remain poorly positioned to benefit from AI despite widespread adoption. The piece argues the shortfall stems from organizational and human readiness issues rather than the technology itself, and outlines steps companies can take to close the gap.
GoKawiil's interpretation of the reporting above, not reported fact.
The disconnect between AI investment and productivity statistics suggests that technology alone may not drive measurable gains without changes to workflows, training, and management practices. This framing shifts responsibility from AI tools to organizational design, implying that companies expecting quick returns may need to rethink how they integrate AI into actual work processes.
- Widespread AI adoption has not yet shown up clearly in productivity data.
- Authors argue the gap reflects human and organizational readiness, not just technology limits.
- The piece offers guidance for organizations to better position themselves to benefit from AI.
Source: fastcompany.com, 2026-10-18
Published there as: “The AI productivity paradox: Why AI is everywhere except in the productivity numbers”
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