#693: AI learns your job in weeks … and you start wondering if you still have one. That question shapes our conversation with Dr. Ben Zweig, CEO of Revelio Labs, a workforce data company that uses AI to build large employment databases and study labor market shifts. He also teaches a class on The Future of Work at NYU Stern School of Business. He holds a PhD in economics from CUNY Graduate Center. Dr. Zweig starts with the legend of John Henry, the steel driver who raced a steam drill and lost his life trying to prove that a human could still beat a machine. The story mirrors the Luddites, who smashed looms when automation threatened their work. The fear of technology replacing workers is a theme throughout history. It keeps repeating. And yet, this time it feels different. You hear how today’s panic fits into a longer pattern. Sixty percent of current jobs did not exist a century ago. Even jobs that kept the same name changed completely. Dr. Zweig describes his father tabulating punch cards as a statistician, while he now builds neural networks. Same field. Different tasks. We break down what a job actually means. A job is a bundle of tasks. You execute tasks, but you also orchestrate them – deciding order, workflow and coordination. AI tends to automate the most granular tasks first. Broader, abstract orchestration proves harder to replace. Dr. Zweig argues that “augmentation” often just means partial automation that frees you to focus on what remains. The discussion turns to empathy-driven roles, such as rabbis, psychologists, and teachers. Dr. Zweig cites traits such as empathy, presence, opinion, creativity and hope as distinctly human. He notes AI still struggles with memory and long-term relational trust. You also hear what this means if you are early in your career. Hiring has slowed. Entry-level roles appear more exposed to automation. Dr. Zweig says younger workers often lack orchestration experience and face a risk-averse market. He says that to be competitive in today’s job market, you should take ownership of complex projects from start to finish. Show people – through networking and demonstrated work – that you can manage more than just tasks . Resource: Job Architecture: Building a Language for Workforce Intelligence by Ben Zweig For more information, visit the full show notes at https://affordanything.com/episode693 Learn more about your ad choices. Visit podcastchoices.com/adchoices