AI & I

Dan Shipper runs one of the most AI-native companies today. Every has agents embedded in nearly every workflow—“if you swing a stick in our Slack, you're as likely to hit a human as an agent,” he says. And yet the company has grown from four people to 30 since GPT-3 came out, and is still hiring.
Why does Dan believe there's more human work to do than ever?
In a format flip for AI & I, Every's COO Brandon Gell turns the tables and interviews Dan about his latest essay, “After Automation”—an 8,000-word argument for why rising automation doesn't eliminate demand for human work, it increases it. The thesis: AI makes yesterday's expert competence cheap and widely available, which floods every field with output that's close but not quite right—and that creates more demand for the humans who can take it the rest of the way.
Dan talked with Brandon  about the paradox at the heart of agent-native work: The more AI can do, the more humans are needed to direct it, refine its output, and decide what matters next.

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To hear more from Dan Shipper:
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Links to resources mentioned in the episode:
“After Automation” by Dan Shipper: https://every.to/chain-of-thought/after-automation
Brandon Gell on Every: https://every.to/@brandon_5263


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Timestamps:


00:00:51 Introduction


00:05:51 The AI paradox: more automation, more human work


00:10:00 How AI makes yesterday's expert competence cheap


00:18:00 AI can act autonomously but it does not have agency


00:20:39 Why Dan is all in on AGI


00:21:57 AI layoffs are a lie


00:25:42 Ride the models and you'll be fine


00:35:30 How to use AI as a long-form features editor


What is AI & I?

Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves.

For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.