Power and Progress with Simon Johnson
Listen now
Description
In his new book Power and Progress, Simon Johnson, along with his co-author Daron Acemoglu, challenges the techno-optimistic narrative that technological progress will automatically lead to shared prosperity. Johnson, a professor at the MIT Sloan School of Management, takes us through a millennium of technological progress to show how the gains from advancements such as the agricultural and early industrial revolutions tended to benefit a narrow segment of interests. While technology can enable the kind of equitable growth that is heralded by techno-optimists, this requires an environment that mitigates the natural power imbalance between workers and owners of technology through regulation, labor organizations, and an active civic society. As we stand on the brink of a new wave of innovation from AI, it’s critical that we learn from the history of economic progress to ensure that this time, the gains are shared broadly in society. In this episode of our Thinkers & Ideas podcast, Johnson joins BCG Henderson Institute Chairman Martin Reeves to discuss the incentives for corporate leaders to create technology directed at equitable growth, the potential impact of AI on society, and the effectiveness of government policies aimed at fostering shared prosperity. Key topics discussed:  01:19 | Motivation for the book 02:03 | Progress and shared prosperity 07:29 | Effectiveness of redistribution 09:43 | Directing innovation toward social good 16:42 | The impact of AI 20:39 | Role of corporate leaders and investors in directing technology This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy
More Episodes
In Why We Die: The New Science of Ageing and the Quest for Immortality, Venki Ramakrishnan explores the current research on and prospects for human longevity. Ramakrishnan leads a group at the MRC Laboratory of Molecular Biology in Cambridge, England. For his research on the structure and...
Published 04/30/24
Published 04/30/24
In Making Sense of Chaos: A better economics for a better world, J. Doyne Farmer challenges traditional economic models, which rely on simplistic assumptions and fail to provide accurate predictions. Farmer, a complex systems scientist at the University of Oxford and the Santa Fe Institute,...
Published 04/16/24