June 24, 2026 | 11am - 12pm PT or 2pm - 3pm ET
Your CEO has declared AI a priority. Your teams have access to the tools. A few pilots have shown promise. And yet a majority of the organization is still working the way they always have, without AI.
You’re not alone. This is the pattern we see in nearly every Fortune 500 organization right now: a widening gap between AI ambition and everyday practice. The technology works as intended, however the organizational systems around it (i.e., how people learn, experiment, get rewarded, and make decisions) have not yet caught up.
This is the session for leaders who are past the strategy phase and deep in the messy, human work of making AI real. Drawing from our experience embedding AI into enterprise operating models, we’ll share what we’ve seen work and what hasn’t worked when it comes to turning adoption from an initiative into an organizational capability.
What we’ll dig into:
The organizational bottlenecks that kill AI adoption after the pilot phase and how to clear them before momentum stalls
How to build a test-and-learn engine that moves AI from isolated experiments to a repeatable operating rhythm
What “AI fluency” actually looks like in practice and how to wire it into talent development so your people grow with the technology, not behind it
Creating space for safe experimentation without building a culture of “permanent pilots” that never scale
The leadership behaviors that sustain adoption through the inevitable middle phase when the novelty wears off and the real work begins
The window for getting this right is narrowing. Organizations that embed AI into how they work in 2026 will set the pace. Those still running pilots in 2027 will be playing catch-up.