405: The Friction Paradox: Why AI Might Be Making Us Worse at What We Do

Hey. It's Arvid, and this is the Bootstrap founder. Today, we will talk about how AI systems and particularly the ones that do all the work for us can both massively amplify and hinder our effectiveness at the things that we wanna do. This episode is sponsored by paddle.com, my merchant of record payment provider of choice, and they've been helping me focus on PodScan from day one. That's my own business. They're taking care of all the things that are related to money so that founders like you and me can focus on building the things that only we can build. Paddle then handles the rest, sales tax, credit cards failing, all of that. I highly recommend it, so please check out paddle.com. Now picture this, an engineer gets called to fix a massive industrial machine that's been down for hours and that costs the company thousands. They walk in, they look around for maybe two minutes, they pick up a hammer and give one precise tap on a specific component, machine works back to life. The bill? $10,000. The company obviously is outraged. Well, all you did was hit it once with a hammer. How can you charge $10,000 for that? And then the engineer calmly explains, well, the hammer tap was $5 but knowing exactly where to hit, that's the other 9,995. That's a pretty common story that is often told in the industry about expertise and this story perfectly captures what I want to talk about today. The nature of expertise and a growing concern that I have about how AI tools might actually be fundamentally changing our ability to develop it. I recently read an article that got me thinking about one of AI's most celebrated features. Its ability to remove friction from processes that used to be quite difficult. And I think this sounds wonderful, right? Who doesn't want things to be easier? To be frictionless? But here's the thing that's been nagging at me. What if this removal of friction also removes our capacity for expertise? Think about what happens when we use an AI system, particularly the kind of sophisticated agentic ones that we use for coding and all of that to do all this work for us. The abstraction of planning, the individual execution of steps, the verification of those steps and the adaptive behavior to overcome problems and regressions that happen in between. All of this gets kind of taken away from us. It gets abstracted away. And this makes me wonder, can expertise actually still be formed without friction like this at all? Is not friction a necessary requirement for expertise? Or are there maybe ways to become an expert even when the struggle of understanding the nuance and running into problems over and over again is missing? When it comes to software development, to entrepreneurship, being a founder, there's so much in that process, that lifestyle that requires very intense dealing with setbacks and failures and mistakes and …