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. 

When we think about important accomplishments, we think about grinding through long hours of work. But is this really necessary? In this episode, Cal turns to the lives of two famous authors to argue that sometimes a slow and steady approach can work just as well in the end, while making the journey more sustainable along the way. He then answers listener questions and concludes with a Tech Corner segment about a ridiculous new claim from the world of AI.

Tyler Cowen recently wrote an article arguing that spending lots of time online is in fact a good thing. In this episode, Cal looks deeper at Cowen’s argument and finds some surprising common ground. The internet can be a major source of good in your life, he argues, but only if you use it in the right way. He then answers listener questions and reviews the books he read in April.

The white whale of modern productivity discourse is achieving an empty email inbox; a goal state that’s often referred to simply as “inbox zero.” In this episode, Cal looks at why the original advice for achieving inbox zero failed and explores a strategy that might work better. He then answers listener questions and in a final segment reacts to a recent guest on the Tim Ferriss podcast who provides an interesting case study of the deep life in action.

Cal talks a lot about his ideas for producing meaningful work in a distracted world. But how do other people tackle this goal? To help better under this question, Cal reacts to a 2018 article from OpenAI CEO Sam Altman in which he details his productivity philosophy. Cal then answers listener questions and concludes with a dystopian tech corner.

In this episode of IN-DEPTH, Cal is joined by David Dewane, the architect responsible for the “eudaimonia machine” featured in DEEP WORK. In this wide-ranging conversation, Cal and David talk about the challenges of finding depth in a distracted world, and the results of David’s personal experimentation in creating a deep life of his own. 

Phones have been receiving a lot of criticism recently, but what if these concerns are missing the mark? In this episode, Cal introduces the difference between primary and secondary phone harms, and argues how our obsession with the former hides the importance of the latter. He then answers reader questions and reviews the books he read in March 2025.

In last week’s episode, Cal discussed data that indicate that the rise of the smartphones is making humans measurably dumber. Here he discusses aggressive strategies for resisting this reality. He then answers listener questions and ends with a tech corner.

Multiple listeners recently sent in a Financial Times article that asks whether humans have passed “peak intelligence.” In this episode, Cal looks closer at the data in this article to try to understand why we seem to be getting dumber, and more importantly, what are the practical steps individuals can take to avoid the trend. He then answers listener questions and ends with a tech corner segment that highlights a blind spot in current discussions of AI.

Modern knowledge work jobs should be cushy gigs. Fixed hours, air conditioning, no hard manual labor, flexibility. So why are we so often burnt out and what can we do about this reality? In this episode, Cal draws a lesson from an unexpected corner of computer science, computer security research, about how we can fix some of the big problems of work in a digital age. He then answers listener questions and returns once again to the topic of AI in a final tech corner segment.