How to Tackle High Failure Rates in Enterprise AI ProjectsHow to Tackle High Failure Rates in Enterprise AI Projects
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The failure rate on enterprise AI projects sits somewhere between 80–95%. Most explanations point to bad data or unclear use cases.
I think the problem usually starts earlier than that.
My new piece in Manifest AI digs into what performing innovation actually looks like from the inside... and what it means to build technology that serves real people instead of projecting that it does.
It's called "Who Does AI Actually Help?" and it draws on my work at Red Mage with nonprofits and community organizations who have every reason to be skeptical of big tech's promises.

manifest.substack.com

Who Does AI Actually Help?

The technology works. The question is: works for whom?

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