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ROI & Cost

What percentage of AI pilots fail to reach production?

By AI Statistics Center Editorial TeamLast updated: Reviewed against primary sources

Short Answer

About 95% of enterprise generative AI pilots stall or fail to deliver measurable P&L impact, according to MIT's NANDA research (2025).

Key Facts

  • 25% — of organisations have moved 40% or more of their AI pilots into production — the rest remain in 'pilot purgatory' (Olakai (citing Deloitte), 2026).
  • 29% — of executives say they can measure AI ROI confidently — while 79% report seeing productivity gains (IBM, 2026).
  • 25% — of AI initiatives deliver expected ROI, and just 16% have scaled enterprise-wide (IBM (citing CEO Study), 2026).
25%

of organisations have moved 40% or more of their AI pilots into production — the rest remain in 'pilot purgatory'

Three out of four enterprises have the majority of AI initiatives still sitting in pilot mode — consuming budget, occupying engineering time, and delivering nothing to the bottom line. Without measurement frameworks to justify scaling investment, pilots stall and teams move on to the next experiment.

Why do AI pilots fail?

The core issue is enterprise integration, not model quality. Generic AI tools stall because they don't learn from or adapt to existing workflows, data, or processes. Just 25% of organisations have moved 40% or more of their AI pilots into production, leaving the rest in 'pilot purgatory' that consumes budget without delivering results.

What percentage of AI initiatives scale enterprise-wide?

Only 16% of AI initiatives have scaled enterprise-wide, per IBM's CEO study, and only 25% deliver expected ROI. The constraint is culture, governance, workflow design, and data strategy — not the underlying AI technology.

How do successful AI projects differ from failed ones?

Successful projects tie AI directly to a measurable business KPI, have executive sponsorship, re-engineer workflows around AI rather than bolting AI onto existing workflows, and invest heavily in change management and training. Leaders are 2–3× more likely to do all four.

Supporting Data

Recommended Citation

AI Statistics Center, citing Olakai (citing Deloitte) (2026). https://aistatisticscenter.com/answers/what-percentage-of-ai-pilots-fail

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Last reviewed and updated: by the AI Statistics Center Editorial Team. All statistics are sourced from primary research publications and linked directly to their origin.