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Don't Repeat Green Jobs: Eric Seleznow on Apprenticeship in the AI Moment

Don't Repeat Green Jobs: Eric Seleznow on Apprenticeship in the AI Moment

Insights

  • Across the outcome data, apprenticeship beats other workforce strategies on wages and job longevity. The 2015 federal push carried it beyond construction and the trades into healthcare, technology, and more.
  • The green jobs boom trained workers before the jobs materialized. Seleznow warns AI programs risk the same mistake if they chase headline numbers instead of the evidence.
  • Apprenticeship sticks when employers, families, and supervisors buy in, the way Switzerland integrates it from early education. Sustained federal investment once reached roughly $250 million a year, but that momentum has been hard to hold.

In this episode of the Work, Redefined Podcast, Scott Jensen, Head of the Future of Work practice at Infosys Public Services, sits down with Eric Seleznow, formerly Senior Advisor and Director of Jobs for the Future's Center for Apprenticeship and Work-Based Learning. Seleznow helped lead the 2015 Department of Labor initiative that put $175 million behind expanding apprenticeship beyond construction and the trades into healthcare, technology, and dozens of other sectors, and he explains why the model has consistently beaten other workforce strategies on wages and job longevity. He compares the US system to Switzerland's, where employer buy-in and early education integration build a far more mature pipeline, and reflects on how eight years of sustained federal investment under one administration created momentum that has been harder to hold since. Turning to AI, he draws a pointed parallel to the green jobs push of the 2000s, when training programs launched before anyone knew which jobs would actually exist, and argues the field should stay grounded in labor market data this time rather than chase headline numbers. Jensen and Seleznow close on the state of WIOA reauthorization and the still-unfinished work of integrating apprenticeship funding into a system built around older program structures.

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