Michael Webb

In this discussion, economist Michael Webb, known for his work at DeepMind and Stanford, tackles the complex implications of AI on the labor market. He explores whether automation will lead to mass unemployment or economic growth. Webb shares historical insights, revealing how past technologies have impacted job dynamics and inequality. Key topics include the scope of job exposure to AI, how technology can initially widen inequality, and the gradual pace of automation adoption. He also contemplates the entrepreneurial possibilities sparked by AI advancements.