'Automation Is a Lie,' Says AI Founder Whose Company Doubled Headcount Despite Heavy AI Use

Every doubled headcount over the past year while relying heavily on internal AI tooling. The founder said automation does not eliminate human effort because ensuring automated systems work well requires people on top of the automation. He compared modern management to active work rather than passive oversight, arguing that supervising AI workflows is a human job. He cited a benchmark where GPT-5.5 scored 62 out of 100 versus human engineers scoring in the high 80s to low 90s, with humans also using AI tools. He attributed the performance gap to judgment rather than raw capability.

"Every doubled its headcount over the past year while running heavily on AI tooling internally. The host called the move "quite contrarian" and noted that hiring at that pace "is not what people would've expected from a company that is so AI forward.""

""We have so much automation, so much AI, and I also work way more," he said. The macro labor data tells a similar story. Total nonfarm payrolls climbed to 158,736 thousand in April 2026, the highest level in the BLS dataset, even as enterprise AI adoption accelerated across the same period."

""Automation is a lie. In the sense that every time you automate something in order to make sure the automation is working well, you need a human on top of it," he said. His analogy is the modern manager. "Managers actually spend a lot of time working. Most managers are not like on the beach," he said. Supervising AI workflows, in his view, is the same job."

"The numbers behind his Senior Engineer Benchmark make the point concrete. GPT-5.5 scored 62 out of 100, while human engineers scored in the high 80s to low 90s. Shipper described it as "race a human in a car versus another human in a car," meaning the human engineers were also using AI tools. This is AI going head-to-head with AI-augmented humans and losing by a significant margin."

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