Jensen Huang just dismantled the entire “AI is coming for your job” narrative in under two minutes. Huang: “If you apply that to me, you would come to the conclusion what Jensen does for a living is tap on phones and talk. And therefore my job should be gone. But I’m busier than ever.” The entire panic is built on a category error. People look at a job and see the task. They never see the purpose. The task is typing. The purpose is solving. They were never the same thing. Huang: “There’s a fundamental difference between the purpose of the job and the task of the job.” Every doomsday prediction about AI makes the exact same mistake. It watches a programmer type and concludes the job is typing. It watches a designer move pixels and concludes the job is moving pixels. It watches a writer arrange words and concludes the job is arranging words. The job was never the motion. It was the judgment behind it. Huang: “It is a fundamental flaw that we only need a billion lines of code written. We need a trillion lines of code written.” The doomsday model assumes demand is fixed. That there’s a set number of problems in the world and AI is about to solve your share and leave you with nothing. Demand was never fixed. It was capped. Capped by the speed of human fingers on a keyboard. Hospitals still running on software from 2003. Small businesses still doing invoices by hand. Not because nobody imagined better. Because there weren’t enough humans to build it. The backlog of unsolved problems on this planet isn’t shrinking. It’s infinite. AI didn’t show up to take your seat. It kicked open a door to a room full of problems nobody had the bandwidth to touch. Huang: “We have lots and lots of imaginations of all the things that we can do. If we just didn’t have to type anymore, we could go and do those things.” This is what 50 years of keyboards did to us. We didn’t build a tool and stay in control. We built a tool and rearranged our entire lives around serving it. Huang: “This one little device with a keyboard on it consumed all of our lives to the point where we just can’t imagine living without typing anymore.” An entire generation measured its worth by how fast it could press buttons on a rectangle. We called it skill. We called it career. We called it identity. Nobody stopped long enough to ask whether the thing eating 8 hours of every day was the work itself or just the friction standing between us and the work. Huang: “50 years before that people didn’t do that. And so in the future we’re gonna do less of that, we’re gonna do more of something else.” The people most terrified of AI aren’t afraid of losing their purpose. They’re afraid of losing their routine. Because somewhere along the way routine became identity. And when the routine disappears, they don’t know who they are without it. The farmer didn’t stop feeding people when the tractor arrived. The surgeon didn’t stop saving lives when the robot entered the operating room. The task changed. The purpose never did. AI isn’t coming for your job. It’s coming for the part of your job you mistook for the whole thing. Fifty years from now, people will look back at this era the same way we look at scribes copying manuscripts by candlelight. And they’ll ask the same question we always ask. Why did it take so long to let go.