Alvin Wang Graylin, Digital Fellow at Stanford's Institute for Human-Centered AI (HAI) a, returns to Work in Fintech to explain why the AI jobs shock is years away, not decades. He puts it plainly: most thinking work could be replaceable within 3 to 10 years, and around 1.5 billion people worldwide will be affected in the near term.

With host Matthew Cheung, Alvin explains why new graduates are hit first, why 10 to 40% unemployment would push society into chaos, and what the GI Bill teaches us about getting through a transition this big. He also makes the case that scarcity, not human nature, made humans violent, and that AI could be what finally ends that scarcity.

Connect with Alvin Wang Graylin:
https://www.linkedin.com/in/agraylin

Matthew Cheung (Host & Founder Work in Fintech):
https://www.linkedin.com/in/matthewcheung50/

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