AI can help you build faster. It can’t tell you what’s worth building.
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What is the core argument about AI‑assisted coding speed versus product value?
Welcome back to Insights Unlocked. In this episode, we're talking with veteran product leader and author Rich Mironoff about what happens when AI makes it dramatically easier to build software. Does faster coding actually lead to better products or more revenue? Rich explains why human judgment, customer discovery, and understanding what's truly worth building may matter more than ever in the age of AI. Enjoy the show.
Welcome to Insights Unlocked, an original podcast from User Testing, where we bring you candid conversations and stories with the thinkers, doers, and builders behind some of the most successful digital products and experiences in the world, from concept to execution.
Welcome to the Insights Unlocked podcast. I'm Nathan Isaacs, Principal Content Marketing Manager at UserTesting. And joining us today as host is Mike Mace, Director of Solution Marketing here at UserTesting. Welcome, Mike.
Hey, great to be with you.
And our guest today is Rich Mironoff. Rich is a veteran product management leader, author, and longtime advisor to product executives and organizations on building stronger product teams and creating products customers truly value. Welcome to the show, Rich.
Thanks so much. I'm excited to be here.
So, Rich, great to talk with you. You know, a couple of years ago, I interviewed you not for this podcast, but just for a written interview. to talk about how to reduce product waste. You'd written about ways to improve business conversations that product teams have with the rest of the company. And we'll give a link to that interview because I still love it. I loved how you were really practical about it. And I think it's still really, really valid today. But anyway, ever since then, I've been following your posts. And in the last year, you've written several articles on the impact of AI on product development. I thought they were like the thing on product waste. They were really, really practical and insightful.
And so today I wanted to talk with you about those things. Let's start with about a year ago. At that time, you were very cautious about the benefits of AI for software development. Could you summarize kind of your thinking at that time? And do you still have the same concerns today?
I think I have new fresh concerns. Oh,
no.
So, you know, a year ago, maybe a year and a half ago, I was still in the not sure these tools really work class. Yes. The let's not get ahead of ourselves and promise a bunch of things if the tech's not ready. And part of that for me, I actually worked on a little bit of AI in 1979, okay, in my university days. So I've been watching AI go through the last five or six or seven AI waves and winters, and I've always been a little skeptical about whether this stuff does what it's supposed to do. So a year ago, a year and a half ago, I was coming at it from, is it ready yet? And I think that's very reasonable. I mean, for those of us who remember when browsers arrived and everybody on the planet, every board of directors was beating up every CEO to make sure that that company had a website, even though nobody knew why they needed a website and you
had to have
one. And if we go to like 2008 and we had the arrival of the current generation of of mobile phones right ios and and android and every board of directors in the planet was beating up every ceo so that that company would have a mobile app in the app store now nobody actually knew what that app was supposed to do but you didn't go back to your board and say well we're the only company in our space that doesn't have a mobile app right yes um and eventually you figured out what that tech was good for and and it became assumed in what we do but not a differentiator So, you know, watching the AI stuff for a long time, you know, when is it ready? When is it real? I think, you know, my new concerns are that the phrase I'm seeing a lot in the current writing is we're giving up our cognitive control here.
It's cognitive surrender, right? Where just because an agent can spin up 100,000 lines of code per minute,
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Chapters
5 chapters
1
What is the core argument about AI‑assisted coding speed versus product value?
0:02–12:27
2
How did Rich’s view on AI for software development evolve over the past year?
12:27–23:35
3
What does “cognitive surrender” mean and why is it dangerous for product teams?
23:35–29:21
4
Are “full‑stack builder” roles realistic or a risky shortcut for companies?
29:21–46:52
5
What’s the difference between engineering waste and product waste?
46:52–55:53
Speakers
2 identifiedMore from Insights Unlocked
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