New research: How understanding skill relevance can drive smarter human capital development

New research from @João Souto-Maior at the @Burning Glass Institute and @Mitchell Stevens at the @Stanford Graduate School of Education introduces a new framework for understanding the Heckman Curve — one that accounts for both skill development and skill obsolescence in shaping the smartest approach to human capital investment.

Borrowed expertise: Why AI’s productivity boom may not survive the generation that built it

The productivity numbers from generative artificial intelligence (AI) are remarkable, and they are real. Across knowledge industries, output per worker is rising in ways that would have been hard to imagine three years ago. The natural conclusion, drawn by many, is that we are at the early stage of a long economic boom, with the gains compounding as adoption deepens.

Getting in the Front Door in the Age of AI: Policies to Help Early-Career Workers

Rachel Lipson discusses how a lot of the AI policy debate uses the China trade shock as a key analogy. But if an AI disruption hits young workers the hardest initially, she worries that looking at manufacturing job loss might not be the right model...

Learning Throughout The Life Course: In Dialogue with David Soo

David Soo is the former vice president of policy and engagement at Jobs for the Future (JFF), where he led key initiatives across JFF and JFFLabs focused on building external engagement and influence, including leadership of the Policy & Advocacy team. Soo's experience across the policy and philanthropic space gives him a unique vantage point on the future of learning — and why it demands closer collaboration across sectors.

Learning Throughout The Life Course: In Dialogue with Katie Caves

Katie Caves is a senior researcher and lecturer at ETH Zurich, where she studies global vocational education and training systems to identify models that work, and how they can be adapted to different contexts. Caves’ work is concerned with large-scale systems change, creating more mutually equitable and beneficial learning infrastructure for students, businesses, and economies.

Can America retrain workers before AI leaves them behind?

Success will require investing in employees as seriously as America invests in chips