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Every CEO Explains Why AI Automation Creates More Human Work

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Why does automating everything lead to more human work? That's the question I asked last week in “After Automation”—an 8,000-word essay on the structural reasons behind this paradox—which quickly became our most viral piece of the year, driving the discourse on X with reactions from Lenny Rachitsky (@lennysan), the AI Daily Brief (@AIDailyBrief), and Marc Andreessen (@pmarca). On this week’s AI & I, @every COO Brandon Gell and I unpack: - The structural reason automation creates more work for humans, not less. AI makes yesterday's expert competence cheap—which floods the zone with code, writing, and design that's close, but not quite right. That glut drives up demand for experts who can work with AI to create distinctive, memorable work. - Why “AI layoffs” are usually a cover story. ClickUp recently laid off around 22% of its team and blamed AI. Our read: It's an easier explanation than admitting mismanagement, overhiring, or a company that isn't doing well financially. - Why models' exponential benchmark progress isn't what it seems. Once they saturate a benchmark, you can always find a slightly larger frame that zeros the progress out. Humans are indispensable because we operate outside established frames. - Why the need for human judgment only intensifies as we approach AGI. Agents act on behalf of someone—they don't have self-motivated wants. No matter how powerful they get, all the economic and technological forces push AI toward looking back at you and asking, “What should I do next?” - The practical answer to the AI paradox: Ride the models. When new models come out, use them for the work you're already good at—and you'll be more in demand than ever, not despite the automation, but because of it. This is a must-watch for anyone trying to figure out what to do with AI at work—and whether they should be worried. Watch below! Timestamps: 1. Introduction: 00:00:51 2. The AI paradox: more automation, more human work : 00:05:51 3. How AI makes yesterday's expert competence cheap: 00:10:00 4. AI can act autonomously but it does not have agency: 00:18:00 5. Why Dan is all in on AGI : 00:20:39 6. AI layoffs are a lie : 00:21:57 7. Ride the models and you'll be fine : 00:25:42 8. How to use AI as a long-form features editor: 00:35:30

9:29 AM · May 27, 2026 View on X

YouTube: https://youtu.be/dCmOTURRf1Y

Spotify: https://open.spotify.com/episode/58rbN4WgcbESfA37XDik7C?si=U0ezF-mZRH2qoJR9vCxb1Q

Dan Shipper đź“§Dan Shipper đź“§@danshipper

Why does automating everything lead to more human work? That's the question I asked last week in “After Automation”—an 8,000-word essay on the structural reasons behind this paradox—which quickly became our most viral piece of the year, driving the discourse on X with reactions from Lenny Rachitsky (@lennysan), the AI Daily Brief (@AIDailyBrief), and Marc Andreessen (@pmarca). On this week’s AI & I, @every COO Brandon Gell and I unpack: - The structural reason automation creates more work for humans, not less. AI makes yesterday's expert competence cheap—which floods the zone with code, writing, and design that's close, but not quite right. That glut drives up demand for experts who can work with AI to create distinctive, memorable work. - Why “AI layoffs” are usually a cover story. ClickUp recently laid off around 22% of its team and blamed AI. Our read: It's an easier explanation than admitting mismanagement, overhiring, or a company that isn't doing well financially. - Why models' exponential benchmark progress isn't what it seems. Once they saturate a benchmark, you can always find a slightly larger frame that zeros the progress out. Humans are indispensable because we operate outside established frames. - Why the need for human judgment only intensifies as we approach AGI. Agents act on behalf of someone—they don't have self-motivated wants. No matter how powerful they get, all the economic and technological forces push AI toward looking back at you and asking, “What should I do next?” - The practical answer to the AI paradox: Ride the models. When new models come out, use them for the work you're already good at—and you'll be more in demand than ever, not despite the automation, but because of it. This is a must-watch for anyone trying to figure out what to do with AI at work—and whether they should be worried. Watch below! Timestamps: 1. Introduction: 00:00:51 2. The AI paradox: more automation, more human work : 00:05:51 3. How AI makes yesterday's expert competence cheap: 00:10:00 4. AI can act autonomously but it does not have agency: 00:18:00 5. Why Dan is all in on AGI : 00:20:39 6. AI layoffs are a lie : 00:21:57 7. Ride the models and you'll be fine : 00:25:42 8. How to use AI as a long-form features editor: 00:35:30

4:29 PM · May 27, 2026 · 6.1K Views
4:29 PM · May 27, 2026 · 2.5K Views
Every CEO Explains Why AI Automation Creates More Human Work · Digg