AI Leadership Drift: Why Strategy Freezes in Place

When a company's AI rollout stalls, employees are usually blamed — executives chalk it up to fear or a lack of skills. But new research published in Harvard Business Review reaches a very different conclusion. Over three years, Morgan Blangeois and Thomas Roulet conducted 23 in-depth interviews and three leadership workshops across 11 European IT services firms, and found that the real brake was senior leadership itself.

According to the study's authors, in private conversations executives openly admit that AI demands a fundamental rethink of pricing, staffing, and even the business model itself. But the moment the conversation moves to the group setting — when the whole leadership team sits down together — that clarity quietly erodes, replaced by a reassuring but inert narrative of "everything's under control, we're progressing gradually." The authors call this recurring pattern "AI leadership drift."

Why does this happen? Because hard strategic calls — cutting headcount, repricing an existing service, or dismantling a business model built up over years — generate conflict and uncertainty within the group. Retreating to a safe-sounding consensus is the easier path in the short term, but it leaves the company trailing its competitors in the long run.

To halt this drift, the researchers propose four concrete steps: first, ground decisions in your own company's real data rather than industry-wide hype; second, regularly track how comparable companies are actually engaging with AI; third, tie every AI initiative to a specific strategic question and a firm review deadline, or the project simply stalls indefinitely; fourth, appoint someone accountable for keeping uncomfortable but essential issues on the leadership agenda.

The authors' core conclusion: the biggest obstacle to AI transformation isn't the technology itself, or unprepared employees — it's leadership collectively sliding away from hard decisions. And that holds true not just for AI, but for any serious organizational change.