The Strategy Skills Podcast: Strategy | Leadership | Critical Thinking | Problem-Solving · FirmsConsulting.com & StrategyTraining.com

616: NYU Stern's Prof on How AI Is Rewriting the Future of Work (with Ben Zweig)

·52 min

1. The Strategy Skills Podcast episode with Ben Zweig focuses on how AI is rewriting work, labor markets, and job design. 2. Kris Sifarova hosts the conversation, and Ben Zweig is introduced as an adjunct professor at NYU Stern School of Business and founder of Revalio Labs. 3. The episode asks what leaders and workers should do when job architecture, workforce intelligence, and AI are changing the way work gets allocated. 4. Zweig traces his path from a PhD in economics into a quant job at a hedge fund, where Bloomberg terminals made financial data feel structured and ubiquitous. 5. He says he left finance partly because he did not have the stomach for portfolio stress and wanted to see how goods and services are created in the real world. 6. At IBM’s Chief Analytics Office, he worked on workforce analytics and saw that a company with about 400,000 employees still made immature workforce decisions. 7. He says that IBM spent about 75% of its money on people, which made the gap between spend and decision quality especially surprising. 8. Zweig argues that labor markets are not as sophisticated as capital markets and that this mismatch is a major weakness in how society operates. 9. He frames Revalio Labs as an attempt to make labor markets more scientific and rigorous. 10. He rejects the idea that treating people as a resource is automatically derogatory, saying employees are a factor of production alongside capital, land, and ideas. 11. He says better allocation can create more fulfilling work lives because many depressing jobs come from poor matches between workers and work. 12. He says organizations often think too statically about jobs and skills, which leads to prescriptive work design and bad jobs. 13. He prefers defining jobs as bundles of work activities and tasks, with people bringing skills, experience, interests, attitudes, and ambitions into those tasks. 14. He says managers should move from simply delegating to reconfiguring work when business strategy, technology, or team composition changes. 15. He quotes General Patton’s idea to tell people what needs to be done rather than how to do it, then let them show ingenuity. 16. He says firms should give teams autonomy, listen more, and jointly brainstorm better ways to get work done. 17. On AI layoffs, he breaks the issue into three variables: firm responsiveness to technology, worker responsiveness to technology, and the speed at which jobs can transform. 18. He says small firms appear to be moving faster than large procedural firms, and he flags rigid certification structures for accountants, lawyers, and licensed roles as a source of concern. 19. The conversation is practical and managerial, with long answer stretches from Zweig and frequent pivots from theory to examples like consulting, accounting, Glassdoor reviews, and NotebookLM. 20. Listeners who manage teams, study future-of-work strategy, or track AI’s labor-market effects are the clearest fit, while people wanting a purely technical AI discussion may skip it.

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