Daniel Rock - What Automation Means for How We Organize Jobs

What happens to a job when AI touches it? The answer depends on something most frameworks aren't designed to measure.In this episode, Ben sits down with Daniel Rock, assistant professor at Penn and co-founder of Work Helix, to dig into AI exposure.Topics covered:What "AI exposure" measuresWhy tasks are "assemblages," not atoms, and what that means for how we think about job changeThe task chaining paper: why the sequence in which tasks are automated matters as much as which tasks get automatedWhy the handoff costs of breaking work into steps also have handoff benefits and when human checkpoints create value rather than frictionJobs as equilibrium objects: why there may never be a complete theory of how tasks get bundled into jobs, and what we can learn from the attemptWhat academics can learn from entrepreneurs and vice versaWhy the green shoots of AI's impact on science and medicine point toward something much bigger than productivity gains at workAbout Daniel Rock: Daniel Rock is an assistant professor at the Wharton School of the University of Pennsylvania and co-founder of Work Helix. His research sits at the intersection of economics, organizational behavior, and artificial intelligence, with a focus on how technology changes work and how firms can measure and manage that change.Follow Daniel on LinkedInPapers discussed:Weak Bundle, Strong BundleTask ChainingFollow us on LinkedInFollow Ben on LinkedInSign up for our NewsletterVisit our website for more informationGet in touch with us at [email protected]