logo
episode-header-image
Aug 22
34m 36s

The future of inequality

Stanford Engineering
About this episode

Sociologist David Grusky argues that all the usual debilitating debates about inequality can be sidestepped if we focus on the worst forms – those rooted in cronyism, racism, and nepotism – that everyone can agree are nothing more than a pernicious transfer of income or wealth from the powerless to the powerful. To fight this “worst form” of inequality, Grusky shows how powerful interventions can be identified with new quasi-experimental methods, including those that use naturally occurring or AI-generated doppelgangers instead of very expensive randomized controlled trials. “We’re leaving a lot of talent on the table. And the cost is profound,” Grusky tells host Russ Altman about the price of inequality on this episode of Stanford Engineering’s The Future of Everything podcast.

Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

Episode Reference Links:

Connect With Us:

Chapters:

(00:00:00) Introduction

Russ Altman introduces guest David Grusky, a professor of sociology at Stanford University.

(00:02:57) Studying Inequality

David explains his motivation for studying inequality.

(00:03:44) What Is Good Inequality?

How productive contributions create justifiable inequalities in income.

(00:04:48) Example of Bad Inequality

When legitimate productivity becomes mixed with exploitation

(00:07:22) Widespread Nature of Bad Inequality

Different groups within society who benefit from bad inequality.

(00:10:58) The Birth Lottery Problem

How the circumstances of birth create hidden advantages.

(00:13:15) Status & Social Class Inequality

Whether prestige and non-financial rewards intersect with inequality.

(00:14:52) Good Jobs vs. Bad Jobs

What constitutes a good job in an era of rapid technological change.

(00:16:20) The Limits of Progressive Taxation

Why progressive taxation fails to distinguish between inequalities.

(00:21:01) Predistribution Solutions

Preventing bad inequality before it occurs with institutional reform.

(00:24:31) Reform Challenges

How entrenched interests and weak evaluation block reform progress.

(00:25:54) Inequality Research Tools

Quasi-experimental methods that evaluate inequality interventions.

(00:28:39) AI Clones for Policy Testing

Using large language models to simulate individuals and test policy ideas.

(00:33:55) Conclusion

Connect With Us:

Episode Transcripts >>> The Future of Everything Website

Connect with Russ >>> Threads / Bluesky / Mastodon

Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Up next
Oct 3
The future of the built environment
Rishee Jain is an engineer and an expert in the built environment – the manmade structures of modern life. The future, Jain says, will be a place where everyone has a safe, comfortable place to live and work, and the built environment adapts in real time to our needs. Jain is now ... Show More
33m 40s
Sep 26
The future of the innovation economy
In a special Future of Everything podcast episode recorded live before a studio audience in New York, host Russ Altman talks to three authorities on the innovation economy. His guests – Fei-Fei Li, professor of computer science and co-director of the Stanford Institute for Human- ... Show More
32m 7s
Sep 19
Best of: The future of ultrafast electronics
About a year ago we released an episode on the future of ultrafast electronics and it quickly became one of our most popular episodes on YouTube. We’re excited to re-share it with you today. Physicist Matthias Kling walks us through his study of photons and the things science can ... Show More
36m 11s
Recommended Episodes
May 2023
The AI Will See You Now: Exploring Biomedical AI and Google’s Med-PaLM2 With Karan Singhal
What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of s ... Show More
42m 48s
Oct 2024
Tesla's Road Ahead: The Bitter Lesson in Robotics
What does Rich Sutton’s "Bitter Lesson" reveal about the decisions Tesla is making in its pursuit of autonomy?In this episode, we dive into Tesla’s recent "We, Robot" event, where they unveiled bold plans for the unsupervised full-self-driving Cybercab, Robovan, and Optimus—their ... Show More
36m 46s
Apr 2025
Web3 & the Future of Genetics: AI, Blockchain & Data Ownership with Nillion : 1271
Your DNA, health data, and digital identity are encrypted, monetized, and weaponized against you. But what if there was a way to take it back… and hack the system? In this mind-expanding episode, Dave sits down with two elite hacker-founders—Michael Tiffany, CEO of Fulcra.ai, and ... Show More
1h 30m
Sep 24
AI's Next Frontier: Privacy-Preserving Neural Networks
Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small businesses win government contracts. He also explores the future directions of AI, and the impact of AI on user autonomy ... Show More
36m 44s
Jan 2025
Sam Altman on AI Superintelligence, U.S. Buys Record Nuclear Power, and Nvidia's Personal AI Supercomputer
We're experimenting and would love to hear from you!In this episode of Discover Daily, we explore groundbreaking developments in AI and energy sectors that are reshaping our technological landscape. OpenAI's dramatic shift towards superintelligence development, following ... Show More
9m 52s
Apr 2025
2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo
Scott and Daniel break down every month from now until the 2027 intelligence explosion.Scott Alexander is author of the highly influential blogs Slate Star Codex and Astral Codex Ten. Daniel Kokotajlo resigned from OpenAI in 2024, rejecting a non-disparagement clause and risking ... Show More
3h 4m
Oct 2
When Will AI Make Scientific Discoveries?
Today’s AI Daily Brief asks when artificial intelligence will begin making real scientific discoveries. We look at Periodic Labs, which just raised more than $300 million to build AI scientists and autonomous labs for physics and chemistry, and Thinking Machines, which is creatin ... Show More
24m 25s
Dec 2024
How Diamond Cooling Could Power the Future of AI, with Akash Systems
In this episode of No Priors, Sarah sits down with Felix Ejeckam and Ty Mitchell, founders of Akash Systems, a company pioneering diamond-based cooling technology for semiconductors used in space applications and large-scale AI data centers. Felix and Ty discuss how their backgro ... Show More
42m 21s
Sep 23
How Microsoft is Fixing the Biggest AI Agent Problem
Want the guide to create AI Agents? get it here: https://clickhubspot.com/fhc Episode 77: Are we nearing a future where AI agents can autonomously tackle our biggest challenges—while remaining efficient, safe, and truly aligned with human goals? Matt Wolfe (https://x.com/mreflow) ... Show More
30m 8s
Apr 2025
Specialized AI brains for physical industry
Everyone wants a piece of general purpose models. Instacart has deployed ChatGPT for recipes and meal planning. The Mayo Clinic is using it to summarize patient records. Schneider Electric is using an OpenAI LLM to generate sustainability reports. With such powerful models, what’ ... Show More
39m 2s