A recent study called into question a core assumption about the generative AI revolution: that these tools, at the very least, will make us more productive. In this episode, Cal dives deep into the study and argues that when it comes to efforts that require deep work, AI can sometimes make things worse. He then answers listener questions and then takes a closer look at an article claiming that the lack of Wi-Fi in a West Virginia school is making their students dumber. 

IQ scores had been steadily rising since WWII. But, more recently, this phenomenon has stopped.  Since 2010, we’ve actually been getting dumber. In this episode, Cal gets into the common theories for why this is true before offering his own take, which leads to some practical takeaways to help you thrive in an increasingly stupider world. He then answers listener questions and talks about something he read recently.

A 22-year-old made a splash recently when he published a Wall Street Journal op-ed claiming that work-life balance makes you mediocre. He went on to brag about how sleeping less than 4 hours a night and gaining 80 pounds helped him become a millionaire. In this episode, Cal wades into the furious debate this article sparked. He argues that once you look past the author’s dorm bro bravado, the kid does actually ask a good question. It’s just that his answers are lacking. Cal then tackles listener questions and reviews the books he read in August.

In recent years, it’s been hard not to react to the possibilities of generative AI without a mixture of euphoria or dread. But after OpenAI’s lackluster GPT-5 launch, a new, almost heretical-seeming question has emerged: what if progress on AI is stalled well short of the wild predictions we were promised? In today’s episode, Cal draws from reporting on his recent New Yorker article to go deep into this question. What is going on with AI? How did we get here? What does it mean for our personal quest to live deeper lives? He then answers listener questions and ends by discussing his recent brush with literary acclaim.

In this replay of one of the more popular episodes from the Deep Questions archives, originally aired in August ,2023, Cal explores some of his early strategies for cultivating a deeper life.

When Cal recently returned home from his time spent up in New England he set up a whole new set of daily metrics to track in the fall to keep him pointed toward the deep life. And they failed. Hard. In this episode, Cal dissects why metrics matter, why they’re easy to mess up (including the mistakes he made), and how to use them correctly (including how he corrected his own setup). He then answers listener questions and discusses a recent AI article that got him all hot and bothered.

What does Walt Disney’s malaise in the 1940s have to do with our current struggles with our screens? In this episode, Cal uses a little-known story from Disney’s midlife to identify an effective strategy for escaping the nerve-deadening, dull state created by spending more and more of your professional and personal life on screens. He then answers listener questions (with an unusual level of spiciness), tries to calm himself with a reprise of the SLOW PRODUCTIVITY CORNER theme music, and concludes with a discussion of a recent essay he wrote about how no one really knows anything about AI.

When we think about unhealthy phone usage, we think about the flashing apps, like TikTok and Instagram, in which billions of dollars have been spent to grab our attention. In this episode, Cal points to an unassuming culprit that may be just as responsible: simple messaging apps. He explores research that connects the social stress of pending messages to phone addiction, and explores ways to free yourself from constant messaging without having to isolate yourself socially. He then answers listener questions and discusses what he’s been reading.

Are you worried that you’re using your phone too much? An app blocker might make sense. But how do they work, and which one is right for you? In this episode, Cal goes deep into the motivation, technology, and ultimate end game of this distraction fighting technology. He then answers listener questions and discusses some intriguing comments he’s been seeing about limits to AI’s ability to code.

Trying to stick to complicated time management systems without any breaks can eventually lead to burn out. But if you stop organizational efforts altogether, your life can become a stressful mess. In this episode, Cal taps the wisdom of an elite running coach to devise what he calls one-page productivity: a minimum time management system, meant to be run for limited periods to help you recharge, but that also maintains just enough organization that you can avoid disaster. He argues such maintenance modes should be an important part of any time management practice. Cal then answers listener questions and concludes by reviewing the books he read in June 2025.

A blockbuster new study out of MIT takes a closer look at the impact of writing with the help of AI. In today’s episode, Cal breaks down this paper with the help of author Brad Stulberg (who made waves online recently with his reaction to its findings), picking apart the role of AI in deep work activities. Cal then answers listeners questions, and presents a twist on his typical final segment in which he now describes what he is not reading this week, which provides him a thinly-concealed excuse to rant about AI coverage.

Back in 2023, Cal gave a detailed deep dive that described the three phases of scientific understanding of smartphones, social media, and kids. In today’s episode, Cal argues that we’ve entered a fourth phase; one that will finally lead to (perhaps rapid) cultural changes about what we think is appropriate when it comes to these tools and kids. He then answers listener questions and describes a recent book he enjoyed in his new WHAT TO READ segment.

Few philosophers in recent memory have enjoyed as much attention as Byung-Chul Han. His mix of profundity and pithiness in tackling some of the big issues of the modern technical environment has made him “the internet’s new favorite philosopher” (to quote The New Yorker). But is he saying that is making such an impact? In this episode, Cal seeks to find out. He reports back on five of the biggest ideas he encountered reading Han’s 2017 book, IN THE SWARM. He then answers listener questions and concludes with a WHAT TO READ segment where he tackles a pair of competing articles on AI’s abilities.

In this episode of IN-DEPTH, Cal is joined by Chris Guillebeau, the author of the new book, TIME ANXIETY, and creator of the beloved Art of Non-Conformity blog and World Domination Summit annual conferences. Cal and Chris reminisce about their old days as early advice bloggers and dive into his new ideas about re-thinking our relationship with time. 

The data shows knowledge workers really are more exhausted and more prone to burnout than ever before. But why? In this episode, Cal draws inspiration from an unlikely source to help unpack this troubling trend and then suggest a perhaps radical solution. He then answers listeners’ questions and discusses his latest New Yorker article on the challenges of taming AI. As a bonus, he briefly discusses Cal Network’s new bestselling book.

A common complaint about social media skepticism is that we’re falling into a classic moral panic. We’ve been concerned about many past mass media technologies, and ultimately came to realize that they’re not so bad. So why would we expect anything different about social media? In this episode, Cal tackles this complaint, drawing on an unexpected analogy to find clarity. He then answers listener questions and discusses the books he read in May, but not before first confronting a truly bizarre (or, perhaps, brilliant) piece of art work created by a fan of the show.

A few years ago, in a spirit of post-pandemic experimentation, multiple countries ran formal trials to test a radical idea: shortening the workweek. In this episode, Cal returns to the results of these trials to identify an astounding finding that has critical implications about how we work in the 21st century and how this could be made much better. He then answers listener questions and concludes with a tech corner that addresses a simple question: when will AI begin to automate most of my work?

Summer is here. It’s time to slow down. In this episode, Cal discusses his radically simplified summer schedule and then suggests you similarly inject some “seasonality” into your life, offering tips for finding a slower gear without tanking your job. He then answers listener questions and reacts to the most important AI article that you likely missed last week.