Conviction
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Conviction
Clinical Leaders Are Being Asked to Lead an AI Change Nobody Trained Them For
Most physicians now use AI at work, yet two in three clinicians say their AI training falls short. Clinical leaders are being asked to guide teams through a change they were never prepared to lead. Their judgment, not their technical fluency, is what the moment needs.

Clinical leaders have always been asked to lead change. New protocols, new regulations, new care models. They know how to take something unfamiliar and help a team adopt it safely.
AI is different in one important way. For most of those earlier changes, the clinical leader understood the change better than anyone on the team. With AI, many of them are learning it at the same time as the people they lead, sometimes more slowly. They are being asked to guide a change they were never trained to lead.
Adoption has outrun preparation
The tools have arrived quickly. The American Medical Association's 2026 survey found that 81% of physicians now use AI in their professional work, more than double the share in 2023.
Preparation has not kept pace. Elsevier's 2026 Clinician of the Future study found that 68% of clinicians say their AI training is insufficient and 60% lack confidence in how AI is governed. Wolters Kluwer's 2026 survey found that the share of clinicians aware of formal AI governance policies at their organization rose only from 21% to 27% in a year.
So the people at the center of care are using tools they were not taught to use well, under rules many cannot find, and the clinical leaders above them are expected to make it all work.
What clinical leaders are actually being asked
When AI reaches a department, the questions land on the clinical leader. Can I trust this output for this patient? Who is responsible if it is wrong? Will this change how my performance is judged? Is this going to reduce what we need people for?
Most clinical leaders cannot answer every technical question. They should not have to. But they are expected to give their teams confidence anyway, often without being brought into the decisions that shaped the tool.
Physicians want that involvement. In the AMA's survey, 85% said they want to be consulted on or directly involved in decisions about AI adoption. When clinical leaders are left out of those decisions, they inherit the questions without the answers.
What prepares them
Bring clinical leaders into selection, not just rollout. The leader who will be asked whether a tool is safe should help decide whether it is used. Their objections are often the most valuable input in the process.
Teach judgment, not just features. Training that shows which buttons to press is quickly outdated. Training that helps leaders decide when to trust a recommendation, when to question it and how to explain that reasoning to a team lasts much longer.
Make governance visible. If only about a quarter of clinicians know their organization has AI policies, the policies are not doing their job. Put them where clinical leaders can find them, in language they can repeat to their teams.
Give leaders a place to compare notes. Clinical leaders across departments face many of the same questions. A regular forum to share what is working and what isn't spreads good practice faster than any central rollout plan.
Let them set the pace for their area. Departments differ in risk, workflow and readiness. Leaders who can adjust timing to what their teams can absorb get better adoption than those handed a uniform schedule.
I have written that AI's last mile in healthcare runs through a 12-hour shift. Clinical leaders are the ones walking that last mile with their teams. And as I described in Healthcare Needs People Experts Now, the strategy that matters most eventually depends on the people who have to carry it.
Judgment is the qualification
Clinical leaders do not need to become technologists. What their teams need from them is what they already have: the judgment to know what good care looks like, the credibility to say when something doesn't fit, and the steadiness to keep a team focused on patients while the tools change around them.
Health systems that prepare those leaders and include them early will see AI work the way it was promised. Those that don't will keep wondering why adoption stalls in the places that matter most.
Want to explore these ideas further? Learn more about my work on leadership, identity and conviction at www.theglennllopis.com.
Nobody needs clinical leaders to become technologists. They need them to stay clear about what good care requires while the tools change around it.
© 2026 Glenn Llopis Group, LLC. All rights reserved.
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