Episode 5: Can AI rebuild middle-class jobs?

In the third episode of the CEPS Tech Podcast series on “the Future of Work and AI”, we delve into the transformative impact of AI on the labour market and job structures. Our hosts, Tom Parker and Laura Nurski, are joined by David Autor, Professor of Economics at MIT, and Sabine Köszegi, Professor of Labor Science and Organization at TU Vienna. Together, they explore how AI’s learning capabilities distinguish it from traditional computing and its potential to reshape middle-skilled jobs. 

The episode highlights the evolving nature of expertise as AI takes on new tasks, the risks of de-skilling, and the essential role of human-AI collaboration. The discussion also addresses policy recommendations aimed at ensuring the widespread benefits of AI, with a focus on enhancing digital literacy and redesigning jobs to counter the challenges posed by automation. They explore how, with careful design, AI can expand access to skilled work and foster a more inclusive labour market. 

For further reading on CEPS’ and Laura Nurski’s research on other interesting Future of Work and AI topics follow this link. 

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