The gap isn't the technology. It's the humans.
That’s the part I want to talk about today. Greta and her team ran what they call the Everyday AI Program. It became the largest L&D program in Workday’s twenty-year history. As a result, the monthly adoption of their core AI tools rose above 85%, a jump of more than 40 points from where they started. Conservatively, they estimate they’ve saved more than 600,000 hours.
But there’s a more important number in this story. Their highest AI adopters are spending two-plus additional hours every week collaborating — meeting with stakeholders, meeting with customers. Their time didn’t vanish into more busywork. It got reinvested in the work only people can do.
When I asked Greta how they pulled it off, she shared a structure: mindset, skillset, habits. The goal is to enable every single person to build all three.
Here’s how to do that:
Mindset — get people believing it’s for them. Run events that activate curiosity, where teams compete to solve real problems with AI. That’s how you bring a social element into learning.
It makes AI feel less like a threat and more like something you try alongside your colleagues.
Skillset — show what good looks like. Build a single place to learn. Document specific “AI plays” — concrete moments where someone can drop AI into their actual work. Because it’s one thing to know what AI is. It’s another to know how to use it on the task in front of you.
Habits — make it stick. Have every person set a personal AI goal. Give everyone a simple dashboard showing which tools they’re using and how often. That’s how the behavior — and the change — becomes visible to them. And that’s how new habits form.