Cal Newport · Product & Work
TIER 4 Mon, 09 Feb 2026 11:05:57 +0000 (UTC)
A big idea about the future of media that I formed while filming a course for MasterClass. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ | | | # What I Learned from MasterClass | ---|---|--- | | To read or comment on the website, click here --- Last fall, I filmed a course for MasterClass. It’s mainly based on my book _Slow Productivity_ , but there’s some _Deep Work_ in there too. It’s called: “Rebuild Your Focus & Reclaim Your Time.” The course launched last week, so you should definitely check it out. It gets to the core of a lot of the topics we tackle in this newsletter about the intersection of technology and productivity, and it’s an incredibly polished final product. It’s actually this latter point that I want to talk a little bit more about today, as it sparks an interesting question about the future of online media more generally… One of the most striking things about working with MasterClass is its production values. I’ve been a guest on many major video podcasts (from Mel Robbins to Andrew Huberman to Rich Roll). These shows look good. They all have reasonable sets with diffused lights and three-camera setups. MasterClass, however, operates at another level. They use high-end TV-quality production crews. There’s a director, a cinematographer, and multiple camera operators distinct from the focus pullers, all of whom work with gaffers and grips, supported by production assistants. My make-up artist had recently worked on _Sinners_. --- In my career as a writer, I’ve been on TV before as a guest on morning shows and cable news programs, but this was as close as I’ll ever come to starring in a dramatic series or independent film. For me, this experience implied an important reality about the current state of visual media: there remains a non-trivial quality gap between _independent_ video (e.g., as produced for YouTube) and _legacy_ video (e.g., as produced for streaming platforms or linear television). This gap matters. Because these two categories still look different, we treat them distinctly. We’re willing to pay for access to content on Netflix, but we relegate the next rung down on the quality ladder to ad-supported general-use platforms like YouTube. But here’s what’s interesting about the near future: that difference is diminishing. MasterClass, for example, is not funded by a streaming service or television studio; however, they achieve streaming/TV-level production values. Other independent video producers are also closing this gap. This raises a key question: What will happen to video content as the difference between independent and legacy production value vanishes? We can see a glimpse of this future in a project that fascinates me: Dropout TV – also stylized online as :Dropout – which can best be described as a comedy streaming service. It costs $6.99 a month, which gains you access to a slate of original unscripted shows all filmed at a quality level indistinguishable from what you would find on, say, Netflix programs like _Is it Cake?_ or _Nailed It!._ --- Except, they’re not Netflix. Dropout TV doesn’t have multi-billion dollar production budgets or massive venture capital backing. It grew out of the early 2000s website CollegeHumor.com. With the rise of YouTube, CollegeHumor turned more attention to producing content for the platform. But they were frustrated by a model that required them to live or die by a third-party algorithm and the whims of advertisers, so they eventually launched their own subscription app. Today, Dropout boasts over a million subscribers. I refer to this type of niche subscription service, defined by a combination of legacy-quality programming and a focused audience, as a _micro-streamer._ Keep an eye on this market segment. As it becomes easier to produce high-end video, more independent creators will leave the mass-aggregation platforms like YouTube and offer up targeted competition to the major streaming players. Who knows, maybe one day you’ll even have a Deep Life TV app next to Disney+ on your smart TV. Until then, however, you can get your fill of movie-quality Cal content over at MasterClass. --- ### **In Other News** : A Paradoxical Week in Tech Stocks _I’m experimenting with including a section like this more often, in which I briefly discuss news relevant to technology, distraction, and the fight for depth._ **Why A.I. Fears Are Battering Stocks Again** (NYT) The _Times_ had a big story last week about the continued decline in stock prices for software companies that offer services well-suited to automation by language model-based AI, such as those related to legal advice, customer service, or graphic design. You would think that this is good news for the big technology companies offering the A.I. models driving these fears. But here’s what was odd about last week: the stocks of the major tech players were falling as well… **Big Tech sees over $1 trillion wiped from stocks as fears of AI bubble ignite sell-off** __(CNBC) If investors believed we really were just a year or two away from the knowledge sector being substantially automated or integrated with AI, they wouldn’t be selling these big tech companies; they’d instead be rushing to improve their positions Investors seemed instead to be betting on a pragmatic (though decidedly unsexy) version of the future in which language model-based AI disrupts specific industries well-matched to this technology’s capabilities, but does not create a broad economy-altering transformation. This is a future for which the major tech company might already be somewhat overvalued. It’s worth keeping an eye on the investment community’s actions, as talk is cheap, but tech stocks aren’t… (_Update_ : Later on Friday, the stock market rallied, underscoring that whatever bets investors are making, they’re not yet doing so with strong conviction.) --- ### **This Week on the Podcast** : In the **ideas** segment of this week’s _Deep Questions_ episode, I take a more detailed look at common traps in reporting on AI. If you’ve been feeling exhausted, terrified, confused, and overly excited about the AI news that you’ve been reading, then this one is for you. Then, in the **practices** segment, I take a fresh look at one of the internet’s most popular advice topics: morning routines. I have a take that might surprise you. [ **listen** | **watch** ] --- P.S., if someone forwarded this email to you, you can sign up to get your weekly newsletter here. To learn more about my work, including books, articles, and more, check out my website here. | P.O. 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