What makes AI hard in career development is rarely the technology itself. New tools arrive constantly and expectations run high, while most implementation questions still have no settled answer. Practitioners are already using these tools, whether or not a policy governs them, and the pressure to respond well lands on people who were not hired to be technologists. A transition this unsettled calls for a different kind of leadership than a rollout plan provides. 

This session treats AI adoption as an adaptive challenge. Technical problems have known solutions. Adaptive challenges require you and your people to learn your way forward, adjusting habits and expectations as you go. Most of what makes AI hard for leaders sits in that second category, beyond what procurement checklists and vendor demos can tell you. Building AI skills across your team creates potential; adaptive capacity is what converts it into better decisions and better service. 

We’ll also work through what it means to steward these tools for the clients and communities you serve, especially those most likely to be left behind when technology outpaces the systems meant to protect them. Stewardship here means staying accountable to your values when the easy path and the responsible one diverge: what you do with case notes and assessment results, and what you tell interestholders about tools you did not design.