Fear Is Not Going to Save Us From AI

About this episode

Daniel Schreiber discusses how AI can generate wealth that can be redistributed to alleviate poverty without raising taxes or punishing innovation.

But a concrete economic plan for extreme job losses just might. Daniel Schreiber, CEO of Lemonade and founder of the MOSAIC AI Policy Institute, joins Bradley to make a surprisingly hopeful case. The enormous wealth generated by AI can be captured and redistributed in a way that leaves almost everyone better off, he argues, without raising taxes, punishing innovation, or trusting politicians with a slush fund. "Poverty should end in the era of abundance," says Schreiber. "It should simply end." This episode was taped at P&T Knitwear at 180 Orchard Street — New York City’s only free podcast recording studio. Send us an email with your thoughts on today’s episode: info@firewall.media . Subscribe to Bradley's weekly newsletter and follow Bradley on Linkedin + Substack .

People in this episode

Host: Bradley Tusk

Guest: Daniel Schreiber

Topics covered

• AI
• economic policy
• job loss
• wealth redistribution
• innovation
• poverty

Keywords

• AI
• job losses
• economic plan
• wealth redistribution
• poverty
• innovation
• MOSAIC AI Policy Institute

Mentioned in this episode

Organizations: Lemonade, MOSAIC AI Policy Institute

Places: New York City, P&T Knitwear, 180 Orchard Street

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