Leadership Steadiness Under Disruption

This session examined how leaders keep their footing when neither they nor their people know where AI is taking their work. Participants discussed who is accountable when AI-driven decisions go wrong, how to guide teams without clear answers about their future, and how leaders can use AI to surface the implicit decisions they make by default and test them before they harden into direction.

The discussion then turned to steadiness across the organization: why middle management often absorbs the strain between a fast-moving C-suite and experimenting individual contributors, why upskilling must respect different ways of learning, and how AI might compensate for a leader’s blind spots. A recurring theme was that steadiness depends on self-awareness, and on keeping our humanity at the center as the pace of change accelerates.