What actually 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" actually measures
• Why tasks are "assemblages," not atoms, and what that means for how we think about job change
• The task chaining paper: why the sequence in which tasks are automated matters as much as which tasks get automated
• Why the handoff costs of breaking work into steps also have handoff benefits and when human checkpoints create value rather than friction
• Jobs as equilibrium objects: why there may never be a complete theory of how tasks get bundled into jobs, and what we can lea ...