Who Holds the Override Switch?
Over 40% of agentic AI projects will be cancelled by 2027. Gartner named three causes, and the model is not one of them.
In plain words
Over 40% of AI agent projects will be cancelled by 2027. The model is not one of the reasons.
Gartner named three causes: rising cost, unclear value, and weak risk controls. All three are governance problems.
Some manufacturers are removing the human approval step on small machine adjustments, because approval adds delay.
Inside a factory, an agent does not run the line. It proposes a change, and the control system applies it to the next lot.
If that change is wrong and nobody reviewed it, you do not scrap one wafer. You bias a whole batch and find out weeks later.
The delay they are removing is seconds. The delay of being wrong is weeks.
Picture it. A co-pilot who can take the controls is useful. A co-pilot who takes them without telling you is not.
Why it matters to you. Decide who holds the override switch before the agent goes live, not after the first bad batch.
Terms in this piece
- agentic AI agentic AI
- Software that is given an objective and then plans, acts and checks its own work across several steps, rather than answering a single question. On a factory floor the word that matters is acts.
The number
AGENTIC AI PROJECTS CANCELLED BY 2027 · GARTNER
The honest caveat
Removing the approval step is sometimes right: on a well-understood adjustment, a human click adds delay and no judgement. The argument holds for changes nobody has bounded yet. Tiered approval is the answer, not approval on everything.
Your turn
Is your fab defining approval tiers for AI recommendations yet, or is a human still clicking "accept" on every one?
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The run's own source list was not recorded. These are the sources the piece names in its own words, listed here so every claim has an owner.
- AnalystGartner — over 40% of agentic AI projects will be cancelled by 2027; the three causes named: rising cost, unclear value, weak risk controls
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