The AI productivity gap is becoming increasingly visible as new research challenges the narrative of widespread AI success. A survey by the National Bureau of Economic Research found that nine out of ten executives reported no measurable impact from AI on productivity or employment over the past three years.
This disconnect highlights a deeper issue: the difference between perception and reality in enterprise AI adoption. While many organisations publicly report strong productivity gains, these claims are often not backed by rigorous measurement. Research from McKinsey & Company suggests that although 62% of companies report productivity increases, only 20% of engineering teams actually use metrics to track AI’s impact.
The problem is structural. Productivity claims often become inflated as they move up organisational layers, evolving from anecdotal feedback into executive-level narratives. This creates a cycle where perceived success is reported before real transformation occurs. In practice, many teams struggle with low adoption, lack of training, and unrealistic expectations set by early projections.
There are also operational costs to this gap. Overestimated productivity gains can lead to unrealistic planning, team burnout, and declining trust in AI initiatives. When tools fail to meet expectations, organisations risk abandoning them before they deliver long-term value.
- Most executives report no measurable AI productivity impact.
- Many organisations lack adequate measurement frameworks.
- Productivity claims are often based on perception, not data.
- Premature optimism can lead to operational inefficiencies.
The key insight is not that AI lacks potential, but that real value requires time, workflow redesign, and disciplined measurement. Organisations that succeed will be those that move beyond performative progress and focus on verifiable outcomes. In 2026, closing the AI productivity gap will depend on honesty, accountability, and a willingness to prioritise long-term transformation over short-term narratives.
ソース：
https://businessasusual.io/p/ninety-percent-of-ceos-say-ai-changed
