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

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

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

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When most executives discuss AI, they focus on automation.
Dr. Ben Zweig, NYU Stern professor and CEO of Revelio Labs, explains why the real disruption isn't machines replacing people, it's our failure to rethink how work is structured.

"Labor markets are not as sophisticated as capital markets," Ben explains. "We allocate capital efficiently, but not labor. That's a huge weakness in how our economy operates."

In this conversation, we explore:

  • Why every company must learn job architecture, seeing jobs not as titles, but as bundles of tasks that must constantly evolve.

  • The three factors that determine whether AI causes unemployment:

    1. How quickly firms adopt new tech

    2. How individuals adapt their skills

    3. How flexibly jobs can transform

  • Why middle managers now sit at the center of organizational adaptation.
    "The top can't really affect this meaningfully, it happens through line managers."

Zweig challenges the old idea of "delegation."
Instead, he calls for reconfiguration, a manager's ability to reshape work as technology shifts.

"Don't tell people how to do things. Tell them what needs to be done, and they'll surprise you with their ingenuity."
- General Patton, quoted by Ben Zweig

We also discuss the human skills that will rise in value: empathy, coordination, and the uniquely human ability to orchestrate complex systems.

"AI can execute tasks, but it doesn't yet coordinate them," he says. "That orchestration, what we call management, is still deeply human."

For young professionals, his advice is both practical and hopeful:

"Manage a project from start to finish. Build something end-to-end. That's how you train orchestration."

Ben also shares how Revelio Labs uses large language models to build a scientific understanding of labor markets, and why "AI is only called AI until you understand it, then it's just math."

Get Ben's book here: https://shorturl.at/qSspC

Job Architecture: Building a Language for Workforce Intelligence.

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