Why 95% of AI Pilots Fail

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95% of enterprise AI pilots fail to create measurable financial impact. Not because the technology is inadequate. Because the human skills to deploy it effectively have not been developed.

Organisations are deploying AI tools into workforces that lack the capabilities needed to use them, into management structures that cannot define success, and into workflows that have not been redesigned. The result is billions invested and zero return.

The AI problem is a skills problem dressed in the language of a technology problem.

The Deverout Skills Architecture Framework identifies three layers of capability demand. Technical and digital capabilities. Cognitive and analytical capabilities that AI cannot replicate. And human and adaptive capabilities — empathy, cultural intelligence, leadership.

The workers who will be most valuable in the AI economy are not those who think most like machines. They are those who think most distinctively like humans.

The Talent Paradox — Volume II: The Skills Imperative is available now on Amazon.

Buy on Amazon | See the complete series

Deverout Graham, Managing Partner, Deverout and Associates. Contact us.

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