David Autor is a labor economist at MIT. He has written about how the arrival of personal computers increased inequality among American workers. But when it comes to AI, David thinks there could be a different outcome. 

Read David’s article about AI in Noema Magazine. 

In this episode, David explains: 

• How computers increased the wage gap between college and non-college educated workers
• Why AI’s ability to supplement expertise may open up expert fields to more people 
• How AI could make healthcare and legal services cheaper
• What fields will still experience rapid devaluation of skills due to AI 
• The “no regrets” policies that the US could enact to help ease the impact of AI  

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John Mills is the CEO and co-founder of a nonprofit called Watch Duty. His problem is this: How do you build an app to warn people when they are in immediate danger from a natural disaster? Watch Duty has millions of users and played a key role in the Los Angeles fires of 2025. In the show, John talks about how he built his app with the help of an army of volunteers, and why the government hadn’t already built something like Watch Duty.

In this episode, John explains: 

• Why one-quarter of Los Angeles residents downloaded Watch Duty during the 2025 fires
• Why the all-clear message matters almost as much as the initial warning
• How they are expanding into flood warnings
• How to decode firefighter’s radio chatter, and his favorite bit of jargon 

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Josh Tyrangiel is the author of “AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter.” On today’s show, Josh talks about some of these real people and the problems they’re working on: a professor trying to understand her nonverbal son, a general who delivered millions of Covid vaccines in 2021, and a hospital CEO trying to reduce the rate of deadly infections. 

In this episode, Josh explains: 

• Where AI is helping to reduce hospital infections (and where it’s struggling)
• Why distributing the Covid vaccine was almost as hard as creating it
• Why convincing people to use AI is often the hardest problem to solve 
• Why we should use nuclear weapons as a model for regulating AI

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• Follow Jacob Goldstein on LinkedIn, X and Instagram
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Betsey Stevenson is a labor economist at the University of Michigan, and she was an economic adviser to President Obama. Betsey’s problem is this: How can we create a world where the benefits of AI are broadly shared?

Betsey draws on history – including how the invention of household appliances created a crisis of meaning for American women – to understand how we should respond to the challenge of AI. And she suggests policies to help spread the wealth AI could bring.

In this episode, Betsey explains: 

• How Engels’ Pause serves as a warning for workers
• How 20th century women adapted to automation
• How AI has changed life for college students
• The argument for taxing AI firms and distributing the proceeds to the public

Connect with us:

• Follow Jacob Goldstein on LinkedIn, X and Instagram
• Email us at [email protected] 
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Maps have gotten much better over the past few decades. But they're still mostly two dimensional, and they struggle to keep up with a world that is always changing. Brian McClendon is the Chief Technology Officer of Niantic Spatial, a spinout of the company that makes Pokémon Go. Brian's problem is this: How do you build a three-dimensional map of the world that both robots and humans can use to find their way?

In this episode, Brian explains: 

• What he learned building Google Earth 
• How Pokémon Go players helped build the foundation for robot navigation
• What it will take to teach AI to understand the physical world.
• Why GPS is so bad in cities 
•  Why trees are such a big problem for digital mapmakers

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Dan Shipper is the co-founder and CEO of Every, a company that publishes newsletters about AI, develops AI-related software, and helps other companies use AI. Dan has two problems. One, how do you build a company where almost everybody has their own AI agent? And two, how do you use AI as a tool to improve your writing, rather than as a replacement for writing?

In this episode, Dan explains: 

• Why managing agents will be a core skill of the future
• Why AI agents won’t replace you anytime soon 
• How writers learn faster than AI models 
• How to give AI the social skills to work in group settings 
• How AI can help you better understand yourself

Check out Every at their website: https://every.to/

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The apples you can buy at the grocery store have gotten profoundly better over the past few decades. It’s a kind of everyday, hiding-in-plain sight innovation.  Kate Evans is an apple breeder and professor at Washington State University. Kate's problem is this: How do you invent a better apple?

With her team, Kate has in fact invented a new kind of apple called the Sunflare. It’s arriving in stores in a few years. She also helped to invent the Cosmic Crisp, which is out already.

In this episode, Kate explains: 

• Why grocery-store apples have gotten so much better
• Why some of the most delicious apples never make it into stores 
• Why it takes decades to invent a new kind of apple
• How much more we have to learn about apple genetics 
• How the apple industry is adapting to climate change 

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Drilled, a new addition to the Pushkin network, is a true-crime climate change podcast exposing how corporate corruption and political operatives built decades of climate denial and delay. Award-winning investigative journalist Amy Westervelt unravels evidence of deception, disinformation, and the power structures keeping real climate solutions out of reach. Her new season, Carbon Cowboys, traces how the ethanol kingpin of Iowa became the king of corn in Brazil. In September 2025, a group of Brazilian ministers trekked all the way to chilly North Dakota to see a presentation on a new type of clean energy project, one that promised to help them deliver Brazilian President Lula’s dream of turning Brazil into "the Saudi Arabia of sustainable aviation fuels." It was the latest in a string of projects from Midwest Republican kingmaker Bruce Rastetter, whose investments in Brazil might just transform him into a global carbon czar, even as his Summit pipeline carbon project faces fierce opposition from Iowa to North Dakota. The problem? It all requires loads of land and none of it does a thing about climate change.

Here's episode 1. Find more of Drilled: Carbon Cowboys wherever you get podcasts.

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Rob Meyerson is the co-founder and CEO of Interlune. Rob's problem is this: How do you help build an economy on the moon? Eventually, Rob hopes Interlune will help build a moon base. For now, he is focused on bringing a gas called helium-3 back from the moon to sell on earth. 

Earlier in his career, Rob was the president of Blue Origin, the rocket company founded by Jeff Bezos.

In this episode, Rob explains: 

•  Why reusable rockets are only the first step for going back to the moon
• What it's going to take to actually manufacture things in space
• How to build a business by sifting through moon dirt
• How nuclear fusion and quantum computing could rely on mining the moon 

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Aaron Edsinger left his job as director of robotics at Google to start a company called Hello Robot. Aaron’s problem is this: How do you build an affordable robot that people can use to solve real problems at home? The result is a robot that looks nothing like a person. In fact, it’s closer to a Roomba with an arm.

In this episode, Aaron explains: 

•  Why home robots have barely progressed since the Roomba
• Why simpler robots can be more useful than complex humanoids 
•  Why the physical world is so much harder for AI than language
• How robot safety is fundamentally a physics problem

Connect with us:

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