Executives building billion-dollar AI strategies without using AI tools

The sharper point Suresh is making isn't just that executives lack technical fluency, it's that the social cost of admitting ignorance has risen so high inside large organizations that no one in the room is willing to slow the process down. The dysfunction is political before it's technical.

This is largely disconnected from recent activity in our archive, which has no prior coverage to anchor against. The story belongs to a growing body of enterprise AI criticism that sits adjacent to coverage of AI procurement and workforce displacement, where the recurring tension is between board-level pressure to show AI investment and the operational reality of deploying these tools at scale. The gap Suresh identifies, between the people signing the checks and the people who have actually used the product for more than a demo, is a structural feature of how large firms adopted cloud and mobile too, but the speed and cost of AI commitments makes the misalignment more acute this cycle.

Watch whether any major consulting firm (McKinsey, BCG, Accenture) publishes internal guidance or a public framework in the next two quarters that explicitly ties executive AI literacy to project governance sign-off. If that norm starts forming, it signals the market is pricing in the competence gap Suresh describes.