2026-03-26

Nearly 2 Out of 3 AI Projects Fail to Deliver

Nearly 2 out of 3 AI projects fail to deliver

This isn't my opinion. It's the convergence of three studies published in 2025:

IBM surveyed 2,000 CEOs: only 25% of AI initiatives delivered the expected ROI.
McKinsey reports that 61% of companies see no measurable financial impact.
Gartner predicts that 60% of AI projects will be abandoned by the end of 2026 due to unusable data.

And it's not a technology problem.

I saw an SME invest €150K in a custom AI tool... when a €200/month solution covered 80% of the need.

64% of CEOs admit that fear of missing out drives them to invest before understanding the value (IBM, 2025).

43% of French SMEs don't analyse their data to manage their business (Bpifrance Le Lab, June 2025, 1,209 business leaders surveyed).

You don't build a smart house on land with no foundations.

BCG sums it up with the 10-20-70 rule: 10% algorithms, 20% technology, 70% human transformation.

Companies that redesign their workflows before deploying are 3.6x more likely to succeed (McKinsey, 2025).

These 3 mistakes can be diagnosed in 2 days. Before spending a single euro on AI.

Which mistake resonates most with you? Personally, I've seen #2 destroy more projects than the other two combined.

If you want to know where your company stands on these 3 points, book a 30-minute discovery call. It's free and with no commitment.

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