Recently, I called the non-emergency line for my county’s sheriff department and guess who picked up on the second ring? That’s right, our good friend, the cheerful AI assistant. There might have been a generic name like Claire assigned to the bot—sorry to all the Claires out there, trust me, it doesn’t get more generic than Chris—but it took me a minute to realize I needed to say something to move the prompt forward. This interaction, among others, got me thinking about our societal dependence on artificial intelligence. There’s a lot of talk about opting out, but when it’s already infiltrated into our daily lives, is that even possible? There are endless questions—many of which I hope people in positions of power are asking beyond merely acquiring power and profit—but today, I want to explore a troublesome component of AI that I just now started to experience: micromanagement by AI. It’s subtle, and you might not even realize it’s happening to you, but it is.

For the past ten years, a common theme on this podcast is learning. Whether we are learning something new or diving deeper into our craft, the ability to experiment and evolve our abilities lead to new ideas and expertise. This sounds like a great way to bring a sense of purpose to our lives, but a sobering question keeps me up at night: what if our society no longer values new ideas and expertise? What if original thought and mastery is no longer valued, or even possible, because as a society we can’t focus longer than a second, addicted to dopamine and existential whiplash? What will become of us when what takes us months can be done by technology in minutes? Think for a moment what we learn in the months, or even years, working on a project. We try something and fail, over and over, until it clicks. Then we repeat the process until finally the project is done. Yes, it satisfies some business objective, but more importantly, our expertise grows. The sobering reality is that we don’t learn in minutes, we learn in months. We learn through failure. So, in a world that worships tools that enable supersonic productivity, the question we must wrestle with is this: How will we learn?