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🤖 AI Job Loss: Opposing Viewpoints Explored

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Manage episode 504916397 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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The emergence of advanced Artificial Intelligence (AI), particularly generative AI, has sparked a "great divide" in the global labor market. This divide is characterized by two opposing narratives: the "doomsayer" perspective, which foresees widespread job displacement, and the "optimist" view, which predicts human-AI augmentation, productivity booms, and net job creation. While macroeconomic data currently offers a muted signal, firm-level evidence and early labor market indicators suggest a more immediate disruption, especially for early-career white-collar workers. The traditional policy response of worker retraining is likely insufficient, necessitating more radical solutions such as reimagined social safety nets. The trajectory of AI's impact is not predetermined; it will be shaped by conscious choices aiming to foster human-complementary AI that augments capabilities rather than substitutes labor.

  continue reading

215 episodes

Artwork
iconShare
 
Manage episode 504916397 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

The emergence of advanced Artificial Intelligence (AI), particularly generative AI, has sparked a "great divide" in the global labor market. This divide is characterized by two opposing narratives: the "doomsayer" perspective, which foresees widespread job displacement, and the "optimist" view, which predicts human-AI augmentation, productivity booms, and net job creation. While macroeconomic data currently offers a muted signal, firm-level evidence and early labor market indicators suggest a more immediate disruption, especially for early-career white-collar workers. The traditional policy response of worker retraining is likely insufficient, necessitating more radical solutions such as reimagined social safety nets. The trajectory of AI's impact is not predetermined; it will be shaped by conscious choices aiming to foster human-complementary AI that augments capabilities rather than substitutes labor.

  continue reading

215 episodes

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