The gap between AI in theory and AI in practice is execution.

Every company has an AI strategy now. They’ve done the workshops. They’ve sat through the demos. They’ve nodded along to the consultants.

And then nothing ships.

The problem isn’t understanding. It’s building. The gap isn’t knowledge. It’s the distance between a slide deck and working software. Between “we should use AI for this” and “here, use this.”

Most companies treat AI like a research project. They explore. They evaluate. They pilot. They review. Twelve months later, they’re still “exploring.”

The companies pulling ahead aren’t smarter about AI. They just build faster. They pick one painful workflow, automate it in a week, and move to the next. No committees. No phase gates. No six-month roadmaps for something that should take six days.

You don’t close the gap by learning more about AI. You close it by shipping something that uses it.

Build first. Theorize later.