The Gap

A few weeks ago, I was invited to close out a full day of AI executive learning hosted by a major consulting firm. A hundred senior leaders in the room - from financial services, healthcare, media, and beyond. Google had presented. The head of HR gave a speech about the Workplace, the Workforce, and the Work all changing. It was strategic. It was directional. It set the stage.

Then they gave me an hour.

No deck. No framework. Just stories from the front - what I’m building, what’s breaking, what I’ve learned the hard way. Spec debt. Agentic development. The Click. The overreach. The reckoning. All of it.

Not one person in that room had heard of spec-driven development. Not one had seen agentic AI workflows in action. These were leaders making transformation decisions inside their organizations every day. The distance between what they were discussing and what practitioners are doing right now was staggering.

That’s the gap.

It’s not an intelligence gap. It’s not an access gap. It’s an experience gap - and it’s widening every week. The people building with AI are learning things that don’t exist in PowerPoint. The people talking about AI are referencing frameworks that were current six months ago. In AI time, that’s a generation.

Before my session, I got into a friendly debate with the firm’s global AI go-to-market lead. Stick or carrot. I argued stick… at least for leadership literacy. He argued carrot all day. We both knew the answer was balance, but it was a good fight.

Here’s the provocation I left them with, and I’ll leave it with you: if AI normalizes the quality of output (and it certainly will), then performance management as we know it breaks. We won’t be assessing deliverables. We’ll be assessing how you think, how you apply the tools, and whether you can tell the difference between good enough and actually good.

The leaders who start learning now won’t just adapt. They’ll define the standard everyone else gets measured against.

Start now. The gap doesn’t wait.