AI-augmented leadership and judgment
AI does not relieve leaders of their thinking. It demands more of it. The work is learning to use intelligent tools to deepen practical wisdom rather than outsource it, and to build the daily discipline that keeps decisions human at the moments that matter.
The promise sold with most AI tools is relief. Let the system handle the analysis, the draft, the first pass, and free the leader for higher things. The promise is half right, and the wrong half is the dangerous one. AI does take work off the desk. It also asks more of the practical wisdom that remains, because someone still has to decide whether the confident output is right, and that someone is accountable in a way the model never is.
Augmented leadership is a discipline before it is a technology. It begins with a daily choice: to think with the machine or to hand thinking over to it. The first keeps the leader in the loop, questioning, checking, deciding. The second feels efficient and erodes the judgment the leader is paid for. The same tool runs both ways. The difference shows up in the habits around it, not in the model.
Recent research with hundreds of executives points the same way. The leaders who gain most from intelligent tools treat them as demanding partners rather than as oracles. They ask the model to argue against them. They hold the output to a standard. They stay close enough to the work to catch a plausible answer that is wrong.
Skepticism, in this setting, is a leadership virtue rather than a temperament. The writing and talks gathered here are about making it a practice: how to use AI to deepen practical wisdom instead of retiring it, from the daily decision to the boardroom.
Book
Routledge
2026
Research
Thinkers50 and Hult
2025
Essays and posts
Hult Ashridge
2026-02-19
Talks and media
- PMI Enterprise Agility WebinarPodcast
PMI
2026-07-02
Scaling Coach Podcast
2026-07
- People and Projects PodcastPodcast
People and Projects Podcast
2026-07
Management Summit 2026 Live Podcast
2026-04