Your people don’t need more AI tools. They need more confidence using them. This post explores why adoption often stalls after rollout and how leadership behaviors, not technology, determine whether AI becomes embedded in real work.
Why Measuring AI Use Isn’t Enough Anymore
AI adoption has moved quickly. Measurement has not. Many organizations can tell you whether employees are using AI tools. Far fewer can explain whether those tools are improving outcomes, building confidence or strengthening decision-making. As we move into 2026, that gap matters more than it used to.
What Talent Leaders Must Get Right Early in 2026
AI is no longer something talent leaders are evaluating from a distance. It’s already shaping how work gets done. That makes early 2026 an important window. The priorities you set now will influence how confidently your organization navigates what comes next. This is not about predicting the future. It’s about focusing on the fundamentals that matter most right now