AI doomsdayers want us to believe mass job loss would be unprecedented. But Kathryn Anne Edwards has a sharp reminder: In the first five weeks of the pandemic, the U.S. economy shed 22.5 million jobs—larger than any single AI job-loss estimate she has seen. The difference was policy. Unemployment support, direct cash to families, and a strong public response helped workers survive the shock and helped the labor market recover. This week, Nick and Paul talk with Edwards about what the pandemic recovery can teach us about AI, automation, unemployment, and the future of work. Why do AI debates so often treat workers as passive victims and government as irrelevant? What would a serious policy response to technological disruption look like? And why should we be skeptical of billionaires and tech leaders who insist that this time, unlike every other economic transition, they are uniquely important and special?