ACERCA DE ESTE EPISODIO
August 6, 2026: I look at why more than a third of U.S. employers are handing out flat "peanut butter raises" even as top performers use AI to do more. Then I get into new data showing workers' share of U.S. economic output has fallen to the lowest level on record, raising a bigger question: if AI makes people more productive, who gets the gains? Finally, I unpack LinkedIn's move to reduce AI slop and why polished AI-generated work is becoming a real credibility problem inside companies.
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OTROS EPISODIOS EN ESTE PODCAST
September 9, 2026: I unpack the viral resignation of Anthropic researcher Jacob Coxon, who warned that AI labs are racing toward self-improving superintelligence and gambling with human lives. Then I look at OpenAI's claim that thousands of AI agents produced a proof for the Navier-Stokes problem, …
September 11, 2026: I look at The Economist's analysis showing AI has created roughly 1 million American jobs so far, while the predicted jobs apocalypse still has not arrived. Then I get into the latest PISA results showing record-low math, reading, and science scores, and why attention, critical …
I talk with Adam Kautzner, President of Evernorth Care Management and Express Scripts and EVP of Customer Personalization for The Cigna Group, about what it takes to lead a major multi-year transformation in healthcare. We get into how Evernorth and Express Scripts are redesigning pharmacy benefits…
September 14, 2026: I look at Dario Amodei's essay arguing that frontier AI needs to slow down and why competitors publicly agreeing with him raises bigger questions about safety, regulation, IPO timing, and regulatory capture. Then I get into reports of more Oracle layoffs and why this may be less…
September 16, 2026: I look at Anthropic's push for independent AI evaluators and why its preferred watchdog, METR, raises questions about conflicts, trust, and regulatory capture. Then I get into why "be your authentic self" may be terrible career advice and why the better advice is to be your best…
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Gracias por ayudar a mantener actualizada la base de datos de podcasts.
