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Nathan Goldschlag

Director of Research at the Economic Innovation Group and former Census Bureau economist, specializing in firm dynamics, measurement of technology adoption, and labor market statistics.

Top 3 podcasts with Nathan Goldschlag

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32 snips
May 16, 2025 • 57min

AI and Jobs: What Do We Really Know?

In this enlightening conversation, Nathan Goldschlag, Research Director at the Economic Innovation Group, dives into the intricate relationship between AI and employment. He shares insights from his extensive research on how AI is being embraced by various industries and its potential to enhance productivity. The discussion touches on the importance of complementary skills, the changing landscape for job seekers, and the economic implications of AI advancements. Goldschlag also highlights the ongoing challenges and debates surrounding worker displacement and the future of work.
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Nov 11, 2025 • 44min

The AI Economy and You: How AI Is, Will, and May Alter the Nature of Work and Economic Growth with Anton Korinek, Nathan Goldschlag, and Bharat Chander

In a fascinating discussion, Nathan Goldschlag, a director at the Economic Innovation Group, Bharat Chander from Stanford, and Anton Korinek, a UVA professor, dive into the transformative impact of AI on jobs and the economy. They explore the nuances of augmentation versus automation, the complexities behind large layoffs, and the need for better data on AI adoption. The trio emphasizes scenario planning for future developments, critiques misguided policy approaches, and offers advice for students navigating the evolving job landscape amid AI advancements.
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Nov 14, 2025 • 45min

Scaling Laws: The AI Economy and You: How AI Is, Will, and May Alter the Nature of Work and Economic Growth with Anton Korinek, Nathan Goldschlag, and Bharat Chander

In this engaging discussion, Anton Korinek, a prominent economist from the University of Virginia, Nathan Goldschlag from the Economic Innovation Group, and Bharat Chander of Stanford tackle the complex impacts of AI on jobs and the economy. They explore how AI could outperform humans, the theories behind layoff narratives, and the necessity of scenario planning for future labor shifts. They address skepticism regarding rapid automation, propose data needs for better understanding, and caution against policies that could hinder economic dynamism.

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