Is the World Ready for a Guaranteed Basic Income? (Update) | Freakonomics Radio

A lot of jobs in the modern economy don’t pay a living wage, and some of those jobs may be wiped out by new technologies. So what’s to be done? We revisit an episode from 2016 for a potential solution. You can find the transcript and show notes for this episode on our website here: https://freakonomics.com/podcast/is-the-world-ready-for-a-guaranteed-basic-income-update/ FOLLOW FREAKONOMICS RADIO: YouTube: https://freak.ws/3yIl6dl Apple Podcasts: https://freak.ws/3yAvQh0 Spotify: https://freak.ws/3TsdCmV ABOUT FREAKONOMICS RADIO: Discover the hidden side of everything with host Stephen J. Dubner, co-author of the Freakonomics books. Each week, Dubner speaks with Nobel laureates and provocateurs, intellectuals and entrepreneurs, and various other underachievers to uncover things you always thought you knew (but didn’t) and things you never thought you wanted to know (but do) — from the economics of sleep to the future of education, from markets for marriage to the surprising utility of wolves. ABOUT THE FREAKONOMICS RADIO NETWORK: Freakonomics began as a book, which led to a blog, a documentary film, more books, a pair of pants, and in 2010, a podcast called Freakonomics Radio. Hosted by Stephen J. Dubner, it’s one of the most popular podcasts in the world, with a reputation for storytelling that is both rigorous and entertaining. Its archive of more than 500 episodes is available, for free, on any podcast app, and the show airs weekly on NPR stations. Freakonomics Radio is now the flagship show of the Freakonomics Radio Network, which includes the podcasts No Stupid Questions, People I (Mostly) Admire, and The Economics of Everyday Things. FREAKONOMICS RADIO NETWORK PODCASTS: Freakonomics Radio: https://freakonomics.com/series/freakonomics-radio/ No Stupid Questions: https://freakonomics.com/series/nsq/ People I (Mostly) Admire: https://freakonomics.com/series/people-i-mostly-admire/ The Economics of Everyday Things: https://freakonomics.com/series/everyday-things/ Special series: https://freakonomics.com/topics/ CONNECT WITH...

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:04Stephen J. Dubner?

  Hey there. It's Stephen Dubner. Over the past several years, artificial intelligence has gone from something you read about to something you encounter once in a while to something that many of us use every day. But a lot of people find it off-putting, even frightening. One fear is that the more useful AI gets, the more it will displace human workers. Companies like Amazon and Ford and JP Morgan are talking about reducing their workforce since the AIs can do some of the work at a fraction of the cost of human employees. We have made several episodes that touch on this, including a 2023 series called "How to Think About AI," guest hosted by Adam Davidson, and an episode from last October called "What Do People Do All Day?"

• 0:47Stephen J. Dubner?

  The fear that technology will replace human labor is nothing new. In fact, it comes up in just about every generation. There is also a proposed solution to this problem that comes up again and again. A guaranteed basic income is what some people call it. And we made an episode about that way back in 2016, years before anyone had heard of ChatGPT. The idea was having a moment then, and now, thanks to the AI boom, it's having another moment. So I wanted to replay that episode for you today. We have gone through and updated facts and figures as necessary. We'll begin with the economist Eric Brynjolfsson, who was at MIT when we spoke back then, but has since moved to Stanford.

• 1:30Stephen J. Dubner?

  Here's how Brynjolfsson describes the central problem.

• 1:33Speaker 01

  We're now beginning to have machines be able to augment and automate our brains and replace mental tasks. Machines can do computations and make decisions. And we're still in the early stages of this, but we believe that the implications will be at least as profound as what the Industrial Revolution did for our muscles.

• 1:54Stephen J. Dubner?

  In a book he co-authored with Andrew McAfee, Brynjolfsson calls this technological disruption the second machine age. Yes, it will likely produce gains in living standards, but it also might lead to a massive evaporation of jobs. Emphasis on the "might." This can be aggressively argued in either direction.

• 2:14Speaker 01

  There are folks who are confident that the technology is going to lead to a bounty for all and make everyone better off. And there are other people who are very concerned that we'll have a jobless future and a lot of people will be left in poverty.

• 2:27Stephen J. Dubner?

  Take just one example. Driverless cars, a technology I'm sure you've heard about. The driverless car company Waymo now operates in five cities. And Uber hopes to roll out its driverless fleet next year. So what happens to all the people who drive for a living? Not just taxis and rideshare vehicles, but buses and trucks. In the US alone, that is roughly 12 million people. Sure, some new jobs will be created by driverless technology. But what are all those drivers supposed to do if their livelihood is obliterated?

• 3:01Speaker 01

  There'll be winners and losers. Already, we're seeing that some kinds of tasks and skills are much less valuable. And people with those tasks and skills have seen their wages fall. And so it hasn't been a rising tide that lifted all boats.

• 3:13Stephen J. Dubner?

  So if there's a massive evaporation of jobs and if too many hardworking people continue to earn too little to live on, what happens next? Could one solution to both problems be an idea that's been floating around in economic circles for decades? Here's the idea. What if everyone automatically received from the government a guaranteed basic income? That's our question of the day on Freakonomics Radio. Would it work? Can governments afford it? And what would happen if the financial incentive to work goes away?

• 3:52Speaker 02

  Sure, maybe 90% of people will go smoke pot and play video games. But if 10% of the people go create incredible new products and services and new wealth, that's still a huge net win.

• 4:13Speaker 03

  This is Freakonomics Radio, the podcast that explores the hidden side of everything with your host, Stephen Dubner.

• 4:31Stephen J. Dubner?

  A guaranteed or unconditional or universal basic income, a UBI, is an idea that economists have toyed with for years. There are, of course, many forms of government welfare around the world, which are usually means tested, but universal payouts are rarer. Since 1982, the Alaskan government has paid a dividend on oil revenues to all residents, about $1,700 a year on average. After voters in Switzerland rejected a national guaranteed income plan in 2016, the city of Bern announced its own UBI experiment in 2024. Similar trials have popped up in Spain, Finland, the Netherlands, and how about in the US?

• 5:13Stephen J. Dubner?

  The idea hasn't had much traction lately in Washington, although Bernie Sanders and Alexandria Ocasio-Cortez have both expressed support. Maybe that's not too surprising, since they are both on the socialist side of the political spectrum. But here's the thing about a universal basic income. You can see why a socialist, or just about anyone on the left, might like the idea, theoretically at least. It is a permanent financial safety net. But you'd think that conservatives would also like it, again, theoretically at least, because it is a way to shrink the welfare state by folding up a bunch of Byzantine entitlement programs into one tidy check. Now, what would a guaranteed income program actually look like? Where would the money come from?

• 5:56Stephen J. Dubner?

  And if you give everyone in America a check for maybe $20,000 every year, wouldn't inflation render the poor people just as poor as before?

• 6:07Stephen J. Dubner?

  These questions are all really, really hard to answer. But we can probably learn at least a little bit by going back in time. In the late 18th century, founding father Thomas Paine argued for a substantial universal payout based on our collective share of the earth's natural resources. That didn't happen. In the 1940s, the economists George Stigler and Milton Friedman helped put another version into play. It was called a negative income tax. It was meant to support people in grave need. Here is the economist Evelyn Forger.

• 6:42Speaker 04

  So the idea was that if you had no income from any other source, you'd receive a certain level of income, a sort of socially agreed upon level.

• 6:50Stephen J. Dubner?

  Forger is an economist at the University of Manitoba.

• 6:53Speaker 04

  And as your income from other sources, and in particular from the labor market, increased, your benefit would decline, but it would decline less than proportionately.

• 7:01Stephen J. Dubner?

  And here is Milton Friedman, in his usual direct style, explaining what he saw as the benefits of the idea.

• 7:07Speaker 05

  The proposal for a negative income tax is a proposal to help poor people by giving them money, which is what they need, rather than as now, by requiring them to come before a governmental official, detail all their assets and their liabilities, and be told that you may spend X dollars on rent, Y dollars on food, et cetera, and then be given a handout.

• 7:28Stephen J. Dubner?

  The hope was that a negative income tax would streamline the burgeoning welfare system without diluting the incentive to work as much as the existing system did.

• 7:38Speaker 05

  Our present welfare programs, our present direct relief and aid to dependent children programs, in effect, have 100% tax rate. Because if a family on relief, if, let's say, a woman, as currently is mostly the case under aid to dependent children, if a woman who is on relief takes a job and earns $100, and she's honest.

• 8:00Speaker 06

  She is required to have her relief payment reduced by $100. That's one of the ways in which we've been producing poor people.

• 8:07Stephen J. Dubner?

  More than 1,000 economists from 125 American universities signed a statement supporting a national system of income guarantees and supplements. The idea had support from many quarters, like the staunch libertarian Friedrich Hayek.

• 8:22Speaker 07

  I have no objection against a flat minimum security to everybody who cannot earn enough in the market.

• 8:29Stephen J. Dubner?

  To civil rights leader Martin Luther King.

• 8:32Speaker 08

  That is a great deal that the society can and must do if the negro is to gain the economic security that he needs. Now, one of the answers, it seems to me, is a guaranteed annual income, a guaranteed minimum income for all people and for all families of our country.

• 8:57Stephen J. Dubner?

  In 1968, the Republican president-elect Richard Nixon appointed, as his urban affairs counselor, Daniel Patrick Moynihan, the liberal sociologist and future Democratic senator, who was intensely focused on race and poverty. They created what came to be called the Family Assistance Plan.

• 9:17Speaker 09

  What I am proposing is that the federal government build a foundation under the income of every American family with dependent children that cannot care for itself, and wherever in America that family may live.

• 9:30Stephen J. Dubner?

  The Family Assistance Plan was sent to Congress. If it got through, it wouldn't be a guaranteed universal income, but rather a floor under incomes for poor families. Nixon was very, very careful to draw this distinction.

• 9:45Speaker 09

  This national floor under incomes for working or dependent families is not a guaranteed income. Under the guaranteed income proposal, everyone would be assured a minimum income, regardless of how much he was capable of earning, regardless of what his need was, regardless of whether or not he was willing to work. A guaranteed income would undermine the incentive to work. The Family Assistance Plan that I propose increases the incentive to work.

• 10:22Stephen J. Dubner?

  But was this balance possible? To find out, the federal government had begun a series of experiments.

• 10:29Speaker 04

  The purpose of all of these experiments was to look at the labor market outcomes.

• 10:33Stephen J. Dubner?

  Evelyn Forjay again.

• 10:35Speaker 04

  The big concern everybody had at the time was, you know, if you give people money for nothing, why won't they just quit their jobs?

• 10:43Stephen J. Dubner?

  Starting in 1968, the federal government ran a series of four negative tax experiments in different parts of the country with different demographics: low-income urban couples, rural families, black households, especially those headed by single women. Selection was randomized, which meant there was always a control group. This is thought to be the first time the US government used this kind of experimentation to measure the effects of a policy idea. Granted, it would be many years before they'd have the data, and Nixon's family assistance plan was still making its way through the political channels. Soon, a similar experiment was happening in Canada.

• 11:23Speaker 04

  I was sitting in a first-year economics class at Glendon College in Toronto, and my professor came in and started to talk about this wonderful experiment that he said was being conducted way out west somewhere, and it was going to revolutionize the way we delivered social programs.

• 11:41Stephen J. Dubner?

  Evelyn Forjay points out that the US movement had a conservative thrust, with Milton Friedman advocating for smaller government. But Canada was different.

• 11:51Speaker 04

  In Canada, the support tended to come from the left. It was a sort of social democratic impulse, and most of the rhetoric was in terms of social justice.

• 12:00Stephen J. Dubner?

  It was called a Mincome experiment, as in minimum income. It was conducted in just a couple places, including a town of about 12,000 called Dauphin. It's in Manitoba, a few hours northwest of Winnipeg.

• 12:12Speaker 04

  Dauphin was a small town, like a lot of other small towns in Canada. It was very dependent on agriculture. There was nothing unique about it, and that's what made it such an interesting saturation site.

• 12:24Stephen J. Dubner?

  A saturation site, meaning that every person who met the income eligibility was offered the deal. In Dauphin, that meant about 30% of the town.

• 12:34Speaker 04

  If your income falls below a certain level, you'll receive so much, and as your income increases, your benefit will be reduced. The nice thing about the guaranteed annual income, because people get to keep a portion of their benefits as they go out to work, is that this becomes a supplement for the working poor as well. And there's an encouragement to work.

• 12:51Stephen J. Dubner?

  So in the mid to late 1970s, if you were unlucky enough to be poor, but lucky enough to live in dolphin Manitoba, you would be eligible for a check from the government. Forjay says that a family of four would get the equivalent of roughly 18,000 current US dollars a year. This was in lieu of any existing welfare benefits.

• 13:14Speaker 04

  And it wasn't enough to give people a comfortable life. When we interviewed a number of the participants, one of the participants had this lovely line that it was enough to add some cream to the coffee.

• 13:25Stephen J. Dubner?

  That said, the Canadian government spent millions of dollars on the project, but for a good cause, right? To find out if it could support its low-income citizens without killing the incentive to work. So did the Mincom experiment work well enough to be turned into policy? What did the data show?

• 13:43Speaker 04

  No one ever wrote a final report. There was no more money forthcoming to do an evaluation of the project, and it just disappeared.

• 13:51Stephen J. Dubner?

  Uh-oh. Between an economic downturn and political upheaval, the Canadian Mincom project lost its mojo.

• 13:59Speaker 04

  The researchers were told to archive the data for future research. And effectively, what they did was to empty the file cabinets and put all the paper into cardboard boxes.

• 14:10Stephen J. Dubner?

  And how about back in the US? Did Nixon and Moynihan's plan do any better? We'll find out after the break.

• 14:26Stephen J. Dubner?

  Before the break, we heard that Canada's guaranteed income experiment failed to materialize after years of planning and millions in spending. Back in the States, things were not going much better. The Nixon-Moynihan Family Assistance Plan had died in Congress. The right thought it was too expensive. The left thought it wasn't generous enough. Ultimately, however, there were at least two direct legacies of the plan, which are still around today. Supplemental security income, which increased federal support for the elderly, blind and disabled, and the earned income tax credit, which is a small negative income tax, although not a guaranteed income. By now, the political momentum for some kind of universal guaranteed income had greatly diminished,

• 15:11Stephen J. Dubner?

  no matter what the data might have to say about whether such a thing could actually work. But what did the data say? The American experiments were still ongoing and the final analysis was still way down the road. In Canada, remember, the data had been packed up in cardboard boxes.

• 15:29Speaker 04

  I finally did track it down.

• 15:31Stephen J. Dubner?

  That's Evelyn Forjay again.

• 15:32Speaker 04

  I was doing a lot of work on the relationship between poverty and health outcomes. And I remembered this old experiment and I wondered if I could find any link to health outcomes and to quality of life for the participants.

• 15:44Stephen J. Dubner?

  It took a while, but she found the boxes of data.

• 15:47Speaker 04

  I found 1,800 of them in a warehouse in Winnipeg under the authority of the National Archives. But I mean, I was literally looking at 1,800 boxes full of really badly organized data. No one had ever constructed a database and no analysis had been done.

• 16:02Stephen J. Dubner?

  She thought about going through the boxes and building a database.

• 16:06Speaker 04

  And I sort of realized that my life was finite and I wasn't going to be able to do anything with that particular data.

• 16:12Stephen J. Dubner?

  But thinking about the Minkum Experiment in Dauphin did give Forjay an idea.

• 16:19Speaker 04

  One of the defining features of this period in Canada was that this was the period when universal health insurance was introduced. And one of the unanticipated consequences of universal health insurance is that you collect quite a lot of data on individuals.

• 16:33Stephen J. Dubner?

  And those data had been sorted and digitized, data on education, employment, and of course, health. So what if Forger could look in these data for people who lived in Dauphin and who presumably got that extra government money, and then compare them to other low-income people in other towns who didn't get that mincome boost?

• 16:55Speaker 04

  And I was able to find everybody who was living in Dauphin during that particular period. So the first thing I did was to look at hospitalization rates, and I found that hospitalization rates had fallen by about eight and a half percent for the test group in Dauphin relative to the match control group.

• 17:12Stephen J. Dubner?

  Okay, so it looked like the mincome recipients were healthier. What else did Forger find in the data?

• 17:17Speaker 04

  One of the findings was that high school completion rates had increased, and we discovered fairly quickly that boys in particular in low-income families had been under a fair amount of pressure to become self-supporting as quickly as they could. When mincome came along, some of the families decided that they could allow their sons to stay in high school just a little bit longer. So instead of quitting school at age 16 and getting their first full-time job, these boys stayed in school until they were 18, until they graduated from high school, and took their first full-time job a little bit later.

• 17:49Stephen J. Dubner?

  So in the raw data, it might look like employment fell, since a bunch of 16 and 17-year-old boys were not joining the workforce. But in fact, this was good news, since they were staying in school, presumably setting themselves up for a better work life. But what about employment among grownups? That's the big concern of any guaranteed income plan. Did they stop working once they started getting a government check?

• 18:14Speaker 04

  Grown-up people with full-time jobs don't actually reduce the number of hours they work by very much.

• 18:19Stephen J. Dubner?

  One exception: women, especially those who wanted more time off after having a baby.

• 18:24Speaker 04

  At the time, I think the legal entitlement was four weeks, and it's sort of interesting, because as a society, we've already decided that longer parental leaves are something that we want to support, so they effectively anticipated that policy change.

• 18:39Stephen J. Dubner?

  So the effects of the Canadian M income experiment seem to be pretty positive. Now, keep in mind, the dollars to do this have to come from somewhere, new taxes or cuts in entitlements or other services. That, of course, is going to be a major part of any discussion about any guaranteed income plan. But the data seemed to show that the biggest concern that everyone would just quit their jobs did not happen, at least in the Canadian experiment. Now, what about the US experiments?

• 19:08Speaker 04

  In general, the finding was that primary earners really don't reduce the number of hours they work very much when you offer guaranteed annual income. It's secondary earners and tertiary earners, that is, second to delta incomes and the incomes of adolescents that fall a little bit.

• 19:26Stephen J. Dubner?

  Very similar to the Canadian results. So thereto, the news was pretty good, although there was something troubling in the US data.

• 19:34Speaker 04

  When the findings started to come in, it looked like the families that were receiving a guaranteed annual income might in fact have a higher divorce rate. And this became very political very quickly in the US. There were all kinds of concerns that this was an attack on the American family.

• 19:49Stephen J. Dubner?

  Daniel Patrick Moynihan, a champion of the guaranteed income idea, was also a champion of the nuclear family. The divorce findings led him to withdraw his support. But Evelyn Forger says that when the data were examined more carefully over time, the divorce controversy seems to have been overblown.

• 20:09Speaker 04

  There was a subsequent work about a decade later, which suggested that it might have been a statistical anomaly.

• 20:15Stephen J. Dubner?

  So the evidence from these experiments, as narrow as it may be, seems to suggest that a guaranteed income can produce positive results. The funding and the politics are, of course, separate and large questions, but one reason the idea has gained momentum lately is that the world has changed a lot since those experiments. Our economies have changed a lot. There's already been wage stagnation, technological disruption keeps on coming, all of which makes at least one economist, Evelyn Forger, think that the timing is right.

• 20:47Speaker 04

  I do see a fundamental and ongoing change in the way the labor market operates. And I do think that we need to make some fundamental changes in the way we deliver social programs. I think a guaranteed annual income could do a very nice job of addressing some of these issues.

• 21:04Stephen J. Dubner?

  But coming up on Freakonomics Radio, politics being what they are, who is best positioned to figure out how to actually create a successful and affordable guaranteed income program? And if you are worried that a world full of people not hard at work, at traditional work at least, would lead to chaos, just remember that some people not hard at work have been pretty useful to society.

• 21:30Speaker 04

  I think if you look at the 18th and at the 19th century, some of the great scientific breakthroughs and some of the great cultural breakthroughs were made by people who did not work.

• 21:53Stephen J. Dubner?

  I'm Stephen Dubner. This is Freakonomics Radio. For many people, wages have stagnated. For many others, their jobs may be disappearing entirely. What's to be done so that financially vulnerable people aren't just crushed? One of the most radical proposals is for a guaranteed basic income. While several governments are starting to experiment with this idea, economists are not universal in their support. Here's Robert Gordon, author of The Rise and Fall of American Growth.

• 22:23Speaker 10

  As far as the guaranteed minimum income, I'm not in favor of that. I'm in favor of a modest increase in the minimum wage and a substantial increase in the earned income tax credit, which encourages low-income people to work.

• 22:38Stephen J. Dubner?

  Why would you not be in favor of the minimum guaranteed income?

• 22:41Speaker 10

  There's too much of an incentive, if you guarantee income, to replace work. And if you provide a guaranteed minimum income to everybody, then those with low skills will drop out of the labor force and will no longer work. So I think it's a matter of incentives. A guaranteed minimum income would put a very high implicit marginal tax rate on going to work for those with relatively low skills.

• 23:09Stephen J. Dubner?

  Is Robert Gordon right? Are boosting the minimum wage and the earned income tax credit better solutions than a universal basic income? Or what about wage insurance where the government supplements the income of people whose jobs just don't pay enough to live on? Again, these questions are nearly impossible to answer right now, but let's assume the guaranteed basic income idea is worth pursuing. How would it work? Would it require a huge tax hike? Or would the money come from efficiency or productivity gains? Or from eliminating other government benefits? There are the metaphysical questions as well.

• 23:48Speaker 02

  Does basic income make people happy and fulfilled? Does it make them less stressed? Does it make them do better long-term planning?

• 23:55Stephen J. Dubner?

  That is Sam Altman, the co-founder and CEO of OpenAI, the startup that kicked off the current AI revolution with ChatGPT. When we spoke with him for this episode, though, back in 2016, he was the president of Y Combinator. And what is Y Combinator?

• 24:11Speaker 02

  Y Combinator is a company that funds startups.

• 24:15Stephen J. Dubner?

  Meaning a venture capital firm. For instance?

• 24:18Speaker 02

  We've invested in Airbnb, Dropbox, Stripe, Zenefits, Instacart, Reddit. We've invested in about 1,100 companies in total.

• 24:26Stephen J. Dubner?

  But also?

• 24:28Speaker 02

  More recently, we also have started funding basic research.

• 24:31Stephen J. Dubner?

  Which is not what VC firms typically do.

• 24:34Speaker 02

  No, but I think we're a fairly unusual venture capital firm.

• 24:37Stephen J. Dubner?

  For instance, when we spoke with him, Altman was launching an in-house research project on a guaranteed basic income.

• 24:44Speaker 02

  The tentative plan is to hire a social science researcher and to have him or her pick a group of people and give some of them some amount of money, maybe different amounts of money for five years, and observe what happens relative to a control group.

• 24:58Stephen J. Dubner?

  What happens would include all kinds of metrics.

• 25:01Speaker 02

  Do their personal balance sheets go up? Do they learn new skills? Do they create new wealth for society? All of those sorts of things.

• 25:08Stephen J. Dubner?

  The research would also try to figure ways to drive down the baseline cost of living. The biggest problem, Altman says, is housing.

• 25:16Speaker 02

  And that is the hardest thing to fix with technology. It's the most dependent on policy. Other than housing, I think we can make great progress just with technology. If you think about a world where we get nuclear fusion to work, we make continued progress on agricultural technology and water technology and transportation, or we use technology to really make education a lot more efficient, you could easily see the costs of the baseline come down a huge amount. And I think if you're not a kind of a crazy techno optimist, which I'd say I am, you underweight that.

• 25:49Stephen J. Dubner?

  Being a techno optimist in Silicon Valley is why Altman started thinking about a basic income.

• 25:55Speaker 02

  I think there is a sense that technological job destruction is accelerating more than people outside of Silicon Valley realize. And I think this is mostly narrow applications of AI, but it's going to happen for lots of other reasons. So every time we've had a major societal revolution of some sort, you know, we had the agricultural revolution, we had the industrial revolution, where anytime you have a significant fraction of human jobs get eliminated in a relatively short period of time, eventually humans do figure out new things to do, but there's quite a lot of disruption while they're happening. And so I think people in Silicon Valley are saying, man, there are going to be incredible changes in the next few decades. What can we do to make that as smooth as

• 26:38Speaker 02

  possible? I do think that as we as a society get richer and richer, there should be some sort of floor for everybody. And in a way, basic income is sort of the libertarian approach to doing this, right? It's actually healthy for a society if some people get incredibly rich, but there should be a floor below which we as a society don't allow people to fall.

• 27:02Stephen J. Dubner?

  You could argue that Y Combinator's funding of basic income research is a guilt play, since it is the kind of company that helps create so much of the technological disruption that may destroy jobs. Altman would disagree with that argument.

• 27:18Speaker 02

  So we view our job as to increase the amount of innovation in the world. And mostly, that means funding startups. But that is the mission, not funding startups in itself.

• 27:29Stephen J. Dubner?

  In Altman's view, the idea of a basic income isn't counterintuitive at all, even in a capitalist framework. He sees it as perfectly intuitive.

• 27:39Speaker 02

  I think the default belief of a child is that everyone should get food to eat and a place to sleep. And it strikes most children as incredibly unfair that that's not the case. In fact, I think that's so universal that is somehow probably encoded into our genes, this idea of fairness and equality. And I think people then get older and move away from it.

• 28:00Stephen J. Dubner?

  Every conversation you have with anyone about the idea of a basic income inevitably comes around to one point, the value of work. Not just the financial payoff, but what you might call the moral payoff. That if anyone who wanted to could get a basic income without working, that it might destroy our moral fiber, our social fiber. Here again is the Stanford economist Eric Brynjolfsson.

• 28:26Speaker 01

  People get a lot of meaning from participating and contributing to society. And the way we're set up right now, if we just got rid of the jobs and replaced it with a check, I think a lot of people would be unhappy.

• 28:37Stephen J. Dubner?

  Sam Altman isn't so sure.

• 28:39Speaker 02

  Maybe 90% of people will go smoke pot and play video games. But if 10% of the people go create incredible new products and services and new wealth, that's still a huge net win. And the kind of American puritanical ideal that hard work for its own sake is valuable, period, and you can't question that. I think that's just wrong.

• 28:57Stephen J. Dubner?

  Y Combinator's Guaranteed Income Experiment finally got off the ground in 2020 with 3,000 people in Illinois and Texas getting $1,000 a month for three years. Their average income was less than $29,000 a year. So this was a big boost for them. They typically used the extra money to pay for essentials like rent, food, and transportation. And they worked a bit less, about an hour and 20 minutes less each week on average. How should we interpret that? Here again is the economist Evelyn Forger.

• 29:31Speaker 04

  I think people do need to create meaning in their lives. And for a lot of people, that does come through work. I'm not sure that they necessarily need eight hours of work a day and 40 hours of work a week to find that meaning.

• 29:42Stephen J. Dubner?

  Forger, like Sam Altman, sees a potentially huge upside in freeing people of the need to work.

• 29:49Speaker 04

  If you look at the 18th and at the 19th century, some of the great scientific breakthroughs and some of the great cultural breakthroughs were made by people who did not work. These were gentlemen of leisure, right? These were people who had enough family money to support themselves. They certainly didn't have to dirty their hands doing the kinds of work we take for granted. I don't think these individuals felt useless. I don't think their contribution was negligible. I think it was very important to the development of the world.

• 30:18Stephen J. Dubner?

  That may all be true, but if, for whatever reasons, we all start working a lot less, whether or not there's a guaranteed income involved, humankind is in for a big change. For most of civilization, work has been a huge part of what it means to be human. So what happens if the techno-optimist dream comes true? What happens if computers and robots can take care of most or all of our work? Will our robot overlords even want us around anymore? Or will we just be in their way? Sure, it's a troubling thought, but consider one example, which may seem way off-base

• 30:58Stephen J. Dubner?

  at first, but consider another population that used to have to work for a living.

• 31:09Stephen J. Dubner?

  The relationship between dogs and humans goes way back.

• 31:12Speaker 11

  We know that dogs were not just the first domesticated animal, the first domesticated anything.

• 31:16Stephen J. Dubner?

  That's Gregor Larson.

• 31:18Speaker 11

  I'm at the University of Oxford in the Department of Archaeology, and for the purposes of this, I'm studying the origins and evolution of dogs.

• 31:26Stephen J. Dubner?

  The domestication process was long and complicated.

• 31:30Speaker 11

  So what we think may have happened is that a pack of wolves, rather than following, say, caribou, or going after megafauna, or something else, started following us instead, because the wolves could make a living simply by living off of the back end of us. And in doing so, they would put a selection pressure on themselves to become more acclimated to us.

• 31:48Stephen J. Dubner?

  More acclimated and, over time, more useful. Let's say you are hunting, and you just nick your prey.

• 31:56Speaker 11

  If you have a dog with you, and whatever you've just nicked is leaving a blood trail, that dog will be able to sniff out that injured animal and then locate it, and so all you have to do is follow it.

• 32:05Stephen J. Dubner?

  Over time, dogs did all kinds of work for us. They herded cattle, they guarded our property, they even helped cook our food. Seriously, a breed called the turnspit dog had a long body, short legs, and it would run in a wheel that turned a spit over a fire to make sure the meat cooked evenly.

• 32:26Speaker 11

  These dogs were bred, or at least the best ones, were just able to sit in these wheels, and that's all they did all day, is just run and run and run and run.

• 32:32Stephen J. Dubner?

  Eventually, technology put the turnspit dog out of a job, just as technology may eventually put a lot of people out of jobs. A lot of dog work was replaced with machinery or other technology. Like people, some of them found new and different work as guide dogs, as therapy dogs. Dogs were trained to sniff out drugs or explosives, even illness in a human. Here at Freakonomics Radio, we've given one particularly clever pack of dogs some very specific training.

• 33:18Stephen J. Dubner?

  But let's face it, most dogs aren't that clever. So when their jobs began to disappear, they did not find new work. So did dogs just vanish?

• 33:32Stephen J. Dubner?

  No, they did not. In fact, they flourished. When we no longer needed them as workmates, we turned them into pets. In the US alone, about 65 million households own a dog. They are far and away the most common pet. Cats are second in about 46 million households. Freshwater fish are a distant third in 11 million households. Between 2018 and 2022, our spending on pets went up by 51% to $136 billion. So if you look at the long term, dogs went from being on the production side of the human equation to the consumption side, big time. So who's to say that we, their masters, won't find a way to make

• 34:16Stephen J. Dubner?

  peace with our robotic masters even when we no longer have any work to do? Personally, I think I would make a great pet for anyone willing to adopt me. Anyone interested? Serious inquiries only, please, to [email protected]. That's it for this updated episode. We will be back very soon with a new one. Until then, take care of yourself, and if you can, someone else do.

• 34:45Speaker 03

  Freakonomics Radio is produced by Stitcher and Renbud Radio. This episode was produced by Greg Rosalsky and updated by Dalvin Obawaji. It was mixed by Eleanor Osborne. The Freakonomics Radio Network staff also includes Alina Coleman, Augusta Chapman, Alan Frankman, Elsa Hernandez, Gabriel Roth, Greg Rippon, Jasmine Klinger, Jeremy Johnston, Morgan Levy, Sarah Lilly, Teo Jacobs, and Zach Lipinski. You can find our entire archive on any podcast app or at Freakonomics.com, where we publish transcripts and show notes. Our theme song is "Mr. Fortune" by The Hitchhikers. Our composer is Louise Guerra. As always, thank you for listening.

• 35:30Stephen J. Dubner?

  Can you describe an invention or maybe series of inventions that you could foresee radically changing the future? Can you imagine what those? Do you have a wish list?

• 35:41Speaker 10

  How can I imagine something that you just said I can't imagine?

• 35:49Speaker 03

  The Freakonomics Radio Network. The Hidden Side of Everything.

• 35:56Speaker 10

  Stitcher.