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One AI doesn’t fit all

Olivier GomezOlivier Gomez (OG), source: McKinsey Global Institute
Infographic: One AI doesn’t fit all. What companies assume about one large model, why general-purpose models fail at domain-specific precision, general-purpose AI versus specialized AI, and four steps: identify the task, match the model, deploy with precision, compound the advantage.
Source printed on the infographic: McKinsey Global Institute. Open full size.

Most companies are trying to force one AI model to do everything.

That’s the mistake.

The winners will not have the biggest models. They’ll have the right models for the right jobs.

Legal. Finance. Industrial operations. Healthcare.

Precision beats size when the stakes are real.

General AI gives broad capability. Specialized AI delivers operational advantage.

That is where performance, control, and ROI start compounding.

If you are still deploying AI like a one-size-fits-all tool, you are already behind.

First published in the AI in Infographics series on 17/10/2026. See it on Substack or subscribe to get the next one.

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