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“The technological progress we make in the next 100 years will be far larger than all we’ve made since we first controlled fire and invented the wheel,” writes Sam Altman in his essay “Moore’s Law for Everything.” “This revolution will generate enough wealth for everyone to have what they need, if we as a society manage it responsibly.”Altman is the C.E.O. of OpenAI, one of the biggest, most important players in the artificial intelligence space. His argument is this: Since the 1970s, computers have gotten exponentially better even as they’re gotten cheaper, a phenomenon known as Moore’s Law. Altman believes that A.I. could get us closer to Moore’s Law for everything: it could make everything better even as it makes it cheaper. Housing, health care, education, you name it.But what struck me about his essay is that last clause: “if we as a society manage it responsibly.” Because, as Altman also admits, if he is right then A.I. will generate phenomenal wealth largely by destroying countless jobs — that’s a big part of how everything gets cheaper — and shifting huge amounts of wealth from labor to capital. And whether that world becomes a post-scarcity utopia or a feudal dystopia hinges on how wealth, power and dignity are then distributed — it hinges, in other words, on politics.This is a conversation, then, about the political economy of the next technological age. Some of it is speculative, of course, but some of it isn’t. That shift of power and wealth is already underway. Altman is proposing an answer: a move toward taxing land and wealth, and distributing it to all. We talk about that idea, but also the political economy behind it: Are the people gaining all this power and wealth really going to offer themselves up for more taxation? Or will they fight it tooth-and-nail?We also discuss who is funding the A.I. revolution, the business models these systems will use (and the dangers of those business models), how A.I. would change the geopolitical balance of power, whether we should allow trillionaires, why the political debate over A.I. is stuck, why a pro-technology progressivism would also need to be committed to a radical politics of equality, what global governance of A.I. could look like, whether I’m just “energy flowing through a neural network,” and much more.Mentioned: “Moore’s Law for Everything” by Sam AltmanRecommendations: Crystal Nights by Greg EganThe Last Question by Isaac AsimovThe Gentle Seduction by Marc Stiegler“Meditations on Moloch” by Scott Alexander If you enjoyed this episode, check out our previous conversation “Is A.I. the Problem? Or Are We?”  You can find transcripts (posted midday) and more episodes of "The Ezra Klein Show" at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein.Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.“The Ezra Klein Show” is produced by Annie Galvin, Jeff Geld and Rogé Karma; fact-checking by Michelle Harris; original music by Isaac Jones; mixing by Jeff Geld, audience strategy by Shannon Busta. Special thanks to Kristin Lin. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

There has been a bit of panic lately over employers who say not enough people want to apply for open jobs. Are we facing a labor shortage? Have stimulus checks and expanded unemployment insurance payments created an economy full of people who don’t want to work — and who are holding back the economic recovery? That’s one theory, anyway. But it’s leading to real policy change: 25 Republican governors have cut off expanded unemployment benefits early.You can also tell a different story: The continuing threat of the coronavirus and the ongoing traumas and child care disruptions mean lots of workers don’t feel safe taking jobs in poorly ventilated spaces. Others may be using their stimulus checks and unemployment benefits to let them find a better job than they had before the pandemic, insisting on better pay and conditions. And if so — isn’t that a policy success?This is a moment when an implicit but ugly fact of our economy has been thrown into unusual relief: Our economy relies on poverty — or at least the threat of it — to force people to take bad jobs at low wages. This gets couched in paeans to the virtues of work, but the truth is more instrumental. The country likes cheap goods and plentiful services, and it can’t get them without a lot of people taking jobs that higher-income Americans would never, ever consider. When we begin to see glimmers of worker power in the economy, a lot of powerful people freak out, all at once.Jamila Michener is an associate professor of government at Cornell University and a co-director of Cornell’s Center for Health Equity. She does remarkable research on the intersection of race, poverty and public policy and speaks about all of it with uncommon humanity. We discuss the role of poverty in the economy, cultural narratives around work and deservingness, why the less-well-off masses don’t band together politically, how social programs disempower and humiliate the very people they’re ostensibly supposed to help, why it would be so hard to sell a universal basic income, whether the Biden administration’s economic agenda represents a sharp break from those of past administrations and much more.Mentioned: “Fragmented Democracy: Medicaid, Federalism, and Unequal Politics” by Jamila Michener Book recommendations: Halfway Home by Reuben MillerRoot Shock by Mindy FullilovePoorly Understood by Mark Rank, Lawrence Eppard, and Heather BullockYou can find transcripts (posted midday) and more episodes of "The Ezra Klein Show" at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein.Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.“The Ezra Klein Show” is produced by Annie Galvin, Jeff Geld and Rogé Karma; fact-checking by Michelle Harris; original music by Isaac Jones; mixing by Jeff Geld, audience strategy by Shannon Busta. Special thanks to Kristin Lin. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

If you talk to many of the people working on the cutting edge of artificial intelligence research, you’ll hear that we are on the cusp of a technology that will be far more transformative than simply computers and the internet, one that could bring about a new industrial revolution and usher in a utopia — or perhaps pose the greatest threat in our species’s history.Others, of course, will tell you those folks are nuts.One of my projects this year is to get a better handle on this debate. A.I., after all, isn’t some force only future human beings will face. It’s here now, deciding what advertisements are served to us online, how bail is set after we commit crimes and whether our jobs will exist in a couple of years. It is both shaped by and reshaping politics, economics and society. It’s worth understanding.Brian Christian’s recent book “The Alignment Problem” is the best book on the key technical and moral questions of A.I. that I’ve read. At its center is the term from which the book gets its name. “Alignment problem” originated in economics as a way to describe the fact that the systems and incentives we create often fail to align with our goals. And that’s a central worry with A.I., too: that we will create something to help us that will instead harm us, in part because we didn’t understand how it really worked or what we had actually asked it to do.So this conversation is about the various alignment problems associated with A.I. We discuss what machine learning is and how it works, how governments and corporations are using it right now, what it has taught us about human learning, the ethics of how humans should treat sentient robots, the all-important question of how A.I. developers plan to make profits, what kinds of regulatory structures are possible when we’re dealing with algorithms we don’t really understand, the way A.I. reflects and then supercharges the inequities that exist in our society, the saddest Super Mario Bros. game I’ve ever heard of, why the problem of automation isn’t so much job loss as dignity loss and much more.Mentioned: “Human-level control through deep reinforcement learning”“Some Moral and Technical Consequences of Automation” by Norbert WienerRecommendations: "What to Expect When You're Expecting Robots"  by Julie Shah and Laura Major"Finite and Infinite Games" by James P. Carse "How to Do Nothing" by Jenny OdellIf you enjoyed this episode, check out my conversation with Alison Gopnik on what we can all learn from studying the minds of children.You can find transcripts (posted midday) and more episodes of "The Ezra Klein Show" at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein.Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.“The Ezra Klein Show” is produced by Annie Galvin, Jeff Geld and Rogé Karma; fact-checking by Michelle Harris; original music by Isaac Jones; mixing by Jeff Geld; audience strategy by Shannon Busta. Special thanks to Kristin Lin. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.