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The free-experimentation era of AI is over and the bill is due. Leadership now expects measurable workforce change from their AI investments, not just rollouts, tool adoption, or training completions. That pressure is landing on HR, L&D, and AI leaders, many of whom are still working within mandates set 12 to 18 months ago—without a clear playbook for what comes next.
Sound familiar? You're not alone. AI adoption is messy. Even the best organizations are still figuring it out. That's why we're bringing together three experts who have seen many of these efforts up close: Al Dea on leadership and change strategy, Matt Burr on learning design, and Katie Diggle on the practitioner side. Join them for a candid conversation about what it takes to turn AI investments into meaningful workforce change.
Key Takeaways
What’s blocking AI adoption and how to distinguish root causes from symptoms
Practical ways to make adoption and behavior change stick