He Sold AI for 20 Years. Then He Built His First App.

What happens when someone who’s pitched AI to every Fortune 500 buyer finally sits down and builds something himself.

Bruce Randall knew how to sell AI. Two decades of it — Oracle, AT&T, enterprise AI startups. He could walk into a boardroom and explain exactly how machine learning would save a company millions. He could map the ROI, handle the objections, close the deal. He was good at it.

But selling something and understanding it are two different things.

“I was selling it. So, I learned enough about it selling it, but I wanted to learn the back end of it because the data science is where a lot of the magic happens.”

Bruce had spent his career being the person who translates AI for buyers. The person in the room who makes it make sense. And at some point, he looked at his own explanations and realized they were secondhand. Polished, convincing, effective — but borrowed. He’d never felt the friction of actually building something.

What he did about it

He enrolled in MIT’s AI Product Manager certification and the Blueprint simultaneously. Not one or the other. Both. The MIT program gave him the academic framework. The Blueprint put tools in his hands.

Bruce used Hunch and then Lovable to build a local SEO tool: a website scanner that analyzes a site and returns keyword recommendations with a local SEO improvement plan. A functional product that solves a real problem.

He had never built an application before. Never written a line of code.

“I never thought that I would build an application. And by the time I was done with that, I had a functional application. And that really impressed me.”

That moment — the moment you go from someone who describes what AI can do to someone who has actually done it — changes everything about how you show up in a room. Your explanations carry different weight when they come from direct experience. The questions you ask get sharper. The gaps in a vendor pitch become visible in ways they never were before.

The hands-on difference

Bruce articulated something I hear from nearly every AI player-coach I talk to on the podcast. The gap between reading about AI and building with it is wider than people expect.

“If you’re hands-on, I can explain it better if I’m hands-on than if I just read it in a book. I’ve been very successful in explaining that to people in ways that make sense because I’ve done it and I understand it.”

This is the paradox of AI expertise right now. The people who sound most confident about AI are often the ones who’ve never built anything with it. They’ve read the reports, attended the keynotes, maybe run a few prompts. Bruce was that person for twenty years — and he was better at the pitch than most. What made him different is he recognized the gap and decided to close it.

He’s now writing a book called “The AI Human Paradox.” The fact that the person writing it has both sold AI to enterprise buyers for two decades AND built his own application from scratch is exactly what gives that book a point of view worth reading.

The window is closing

Bruce put it plainly:

“If you don’t start with AI now and start learning it, in a year or two, you’re going to be looking from behind to the people that did.”

He’s not wrong. The leaders I talk to every week who are getting hands-on now are building intuition that compounds over time. The ones who are waiting for the “right moment” to start are watching that gap widen from the other side.

Twenty years of selling AI taught Bruce how to talk about it. A few months of building taught him how to understand it. The second thing made the first thing dramatically better.

The best time to start building was a year ago. The second best time is today.

Listen to the full conversation: Episode 36, The AI Product Leader

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Polly Allen is the founder of AI Career Boost and host of The AI Product Leader podcast. She spent years leading AI at Amazon Alexa before building the AI Career Boost Blueprint, an 8-week program for Director+ product leaders becoming indispensable AI player-coaches. Subscribe to The AI Player-Coach newsletter →