AI Pilots Are a Form of Procrastination
AI pilots are procrastination when they postpone operating model decisions. Executives should replace isolated experiments with measurable forcing functions tied to workflow change, ownership, data readiness, risk controls, and scale economics. The goal is not more proof of concept activity. The goal is evidence that a business process can change and create measurable value.
Key takeaways
- The 95% AI pilot failure number is not a sign that pilots are broken. It is a sign that pilots are working exactly as designed. They were built to defer decisions, not to make them.
- Pilots perform four hidden functions inside large organisations: budget protection, career insurance, vendor evaluation theatre, and decision avoidance. None of those four functions require the pilot to ever ship.
- AI specifically breaks the pilot model in three ways: capability moves faster than the pilot timeline, the model you piloted is not the model you would deploy, and scope drift accelerates with each extension.
- The grown-up replacement is not bigger pilots. It is forcing functions. Production-first deployment, sunset clauses on legacy processes, P&L-tied OKRs, and irreversible commitments that close the off-ramp.
- A simple five-question diagnostic separates a real pilot from procrastination. If the answer to any of them is no, you are not piloting. You are delaying.
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