Episode 8: Steering the AI revolution

In the fourth episode of the CEPS Tech Podcast series on “the Future of Work and AI”, we explore how artificial intelligence fits into a longer history of technological change — and why institutions, organisational models, and public policy are central to shaping its impact on the future of work. Our hosts, Tom Parker and Laura Nurski, are joined by Daron Acemoglu, Institute Professor at MIT, Co-Director of MIT’s Shaping the Future of Work Initiative and, of course, Nobel laureate in Economics and Carlota Perez, Honorary Professor at University College London and the University of Sussex as well as Adjunct Professor of Technology and Socio-Economic Development at TalTech, Estonia. 

The episode looks at how to steer the current wave of technological change, especially looking at artificial intelligence, toward more inclusive outcomes, by analysing past tech revolutions, looking at the role of institutions in guiding AI in the public interested as well as the role of organisations in managing the technology and adapting their way of work to the technology.  

We discuss: 

• Why AI matters – but isn’t the whole story 
• How institutions steer the direction and distribution of innovation 
• The often-overlooked role of management models in shaping work and inequality 
• Whether organisational design should be treated as a public concern 

This conversation connects the dots between past and future, theory and policy — and asks what kind of state we need to make the most of the AI era. 

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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