a16z Podcast
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 problem@pushkin.fm
- Follow Pushkin on Instagram, LinkedIn or X
- Listen to Jacob’s other show, Business History
- To listen to the show early and ad free, sign up for Pushkin+
See omnystudio.com/listener for privacy information.
-
The Great Data Debate
Lakes v. warehouses, analytics v. AI/ML, SQL v. everything else… As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well?…
-
How to Moderate Talks, Panels, Meetings, More (Virtual and Beyond!)
How to moderate good, productive discussions and navigate tricky conversations is top of mind — whether doing a panel, conducting a live event, presenting a talk (or hosting a podcast), managing (and even just participating…
-
Textiles as Tech, Science, Math, Culture… or Civilization
“The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they’re indistinguishable from it.” That quote from computer scientist Mark Weiser is from a 1991 paper where…
-
Data Alone Is Not Enough: The Evolution of Data Architectures
Data, data, data – it’s long been a buzzword in the industry, whether big data, streaming data, data analytics, data science, even AI & machine learning — but data alone is not enough: it takes…
-
Designing for, Marketing to, and Partnering With Gen Z
Gen Z—those born between 1995 and 2010—now makes up 35 percent of the population and represent $143 billion dollars in spending power. This episode is all about how brands can better understand, collaborate with, and…
-
The Present Future of Audio: Talk, Music, Video, Interactivity
We’ve already talked a lot about podcasting, both evolution of the industry as well as the form, but where are we going with the future of audio, more broadly? Can we borrow from the present…
-
Tracking the Trends: AI, WebRTC, Crypto, and Full Stack Startups
Today’s episode is a conversation about four big trends in the tech world. Any one of these trends would be notable on its own, but we cover all four in this hallway-style chat, as a16z…
-
How to Decide, Convey vs. Convince, & More
It seems like investors are especially obsessed with the psychology of decision making — high stakes, after all — but all kinds of decisions, whether in life or business — like dating, product management, what…
-
Fintech for Gen Z and Millennials
Millennials and Gen Z have been hard-hit by the one-two punch of the 2008 and 2020 financial crises. That experience has radically shaped their approach to finances and their mindset around credit and debt. This…
-
Degrading Drugs for Problem Proteins: Journal Club now on Bio Eats World (ep 2)
Welcome to the second episode of Bio Eats World, a brand new podcast all about how biology is technology. Bio is breaking out of the lab and clinic and into our daily lives — on…