L&D Market Signals

AI change is landing on managers before executive systems are ready

Korn Ferry's survey points to a management capacity problem, not just a training need. For organizations pursuing AI transformation, the first decision is whether managers are being asked to absorb change without changes to work design, decision rights and support.

Ravinder Tulsiani, DBAEmerging signal

Korn Ferry's survey, reported by Yahoo Finance, is worth reading for one number in particular: just 6 percent of talent and senior leaders say their top executives are fully prepared to lead AI driven transformation. In the same survey, two thirds expect managers to spend more time helping teams through change than overseeing day to day work. That combination suggests transformation work is moving downward before the system above managers is clear enough to carry it.

CHROs, CPOs and senior CLOs should separate manager capability from executive clarity. When executives are unclear on how AI changes work, managers end up making local calls on priorities, workflow, role boundaries and judgment. Training can help them communicate and coach through uncertainty. It cannot settle unclear decision rights, conflicting productivity expectations or jobs that have not been redesigned around changed tasks.

I would avoid approving a broad manager enablement program before diagnosing what managers are actually being asked to carry. A better place to start is a small set of roles where AI is already changing the task mix. Look at the work that is changing, the decisions that now sit with the manager, and the support or controls that are still undefined. If the main issue is ambiguity from above, the owner is not only L&D. The executive team has to clarify work design and management expectations, with HR and transformation leaders helping force that clarity before any curriculum scales.

The evidence here is limited. This is one survey report, and it does not show whether organizations that invest in manager training close the gap or simply make managers better shock absorbers. Some organizations may also have stronger executive readiness than this sample reflects, or AI programs structured so managers are not the main translation layer. I would not treat this as proof of a broad market shift. I would treat it as a credible warning about one failure mode in AI transformation.

If AI is moving into core work, manager training should not be funded as a standalone response to executive unreadiness. It should sit alongside role level work redesign, explicit decision rights and a short list of measures that show whether managers are reducing confusion or just carrying more of it. Speed without diagnosis scales waste.

The signal I’m watching

Whether organizations start redefining manager roles, spans, decision rights and support mechanisms as AI programs move from pilots into operating work.

What would strengthen this signal

Comparable population level evidence showing that manager time on change translation is rising during AI adoption, and that outcomes differ when organizations pair manager development with work redesign rather than training alone.