{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI & I","title":"We Automated Everything With AI and Tripled Our Headcount","html":"","width":"100%","height":180,"duration":2473,"description":"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.\nWhy does Dan believe there's more human work to do than ever?\nIn 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.\nDan 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.\nIf you found this episode interesting, please like, subscribe, comment, and share!\nTo hear more from Dan Shipper:\nSubscribe to Every: https://every.to/subscribe\nFollow him on X: https://twitter.com/danshipper\nLinks to resources mentioned in the episode:\n“After Automation” by Dan Shipper: https://every.to/chain-of-thought/after-automation\nBrandon Gell on Every: https://every.to/@brandon_5263\nJoin the membership for where you live at ⁠joinbilt.com/dan⁠\nTimestamps:\n\n00:00:51 Introduction\n\n00:05:51 The AI paradox: more automation, more human work\n\n00:10:00 How AI makes yesterday's expert competence cheap\n\n00:18:00 AI can act autonomously but it does not have agency\n\n00:20:39 Why Dan is all in on AGI\n\n00:21:57 AI layoffs are a lie\n\n00:25:42 Ride the models and you'll be fine\n\n00:35:30 How to use AI as a long-form features editor","thumbnail_url":"https://img.transistorcdn.com/tpm1hNSy8JXTtPDypo5McPF0S6eDqruRTGYywu9SVrc/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDM2/YzU4NDNmYTQxNTJh/MTEzYjE4YmJmYTg5/ODY1NS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}