Junior roles in AI-exposed fields are disappearing fast.

The obvious culprit is AI rapidly automating entry-level jobs. And yet, this isn't quite right. What is driving the drop is managers’ expectations about what AI will do, not the work that it's already replacing.

I discussed this with Ben Zweig of Revelio Labs, which builds global workforce data from millions of individual profiles to track hiring, separations and job flows. Their data shows how expectation and uncertainty are reshaping the market.

Together, we explored the future of work and shared practical advice for new grads.

We covered:

(01:15) What's happening in the labor market?

(05:27) The inherent complexity of the labor market

(06:24) How Revelio Labs captures labor market data

(08:39) "The Canary in the Coal Mine"

(11:52) Who does AI exposure harm the most?

(13:01) How AI anticipation is harming the job market

(15:15) Testing the expectation mismatch hypothesis

(17:30) Could AI be creating more jobs?

(20:44) Breaking down jobs into smaller tasks

(27:33) Why large companies struggle to reorganize

(30:35) Focus on creating adaptive, flexible roles

(36:03) Managing AI's increasing capability

(39:11) What entry-level workers need to do

Where to find me:

- Exponential View newsletter: https://www.exponentialview.co/

- Website: https://www.azeemazhar.com/

- LinkedIn: https://www.linkedin.com/in/azhar

- Twitter/X: https://x.com/azeem

Where to find Ben:

- https://www.linkedin.com/in/ben-zweig/

- Twitter/X: https://x.com/BJZweig

- Revelio Labs: https://www.reveliolabs.com/

Production by supermix.io and EPIIPLUS1

Production and research: Chantal Smith, Hannah Petrovic and Marija Gavrilov.

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