Last week we dropped a bit of a bomb with Part 1 of our AI series, sharing the MIT research that revealed 95% of AI adoption efforts are failing inside companies. If you watched that video and quietly wondered whether your organization might be in that 95%, you’re not alone.
If your AI rollout feels sluggish, messy, or more complicated than it should, and your instinct is to add more tools, more dashboards, or more oversight, I want to stop you right there. That move feels logical, but it’s exactly how many leaders end up deepening the problem instead of fixing it.
That’s why we’re continuing the conversation this week with Part 2.
In this week’s video and blog, we’re unpacking why AI often makes existing friction louder, not smaller, and what that means for you as the leader responsible for results. This isn’t about chasing the next shiny platform. It’s about understanding what AI is surfacing inside your organization and how to ensure your rollout becomes part of the 5% that actually succeed, not another well-intentioned initiative that stalls out.
The new video and blog go live today on | 
