The Indicator from Planet Money - Babies v climate change; AI v IP; bonds v world

Episode Date: June 27, 2025

It's ... Indicators of the Week! Our weekly look at some of the most fascinating economic numbers from the news. On today's episode: Could more babies change the climate in a big way? Why did a U.S. j...udge side with AI company Anthropic? And why is the bond market so chill these days?Related episodes: Artists vs. AI You told us how tariffs are affecting you (Apple/Spotify)For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org.Fact-checking by Sierra Juarez. Music by Drop Electric. Find us: TikTok, Instagram, Facebook, Newsletter. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

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Starting point is 00:00:00 NPR. This is the Indicator from Planet Monday. I'm Daryam Woods. And I'm Adrienne Ma. And connecting with the indicator crew this week is the very merry, merry childs. I'm married to be here, folks. And merrily, we all row into indicators of the week. That's right.
Starting point is 00:00:30 We have looked at interesting numbers in the news this week, and we are here to tell you all about them. On today's episode, how bad are babies for climate change, really? How to train your AIs on books and then get sued for it. And I know you're going to be shocked to hear this, guys, but I'm here to talk about corporate bonds. The bond queen. Let's go. Woo, woo, woo, woo. After the break.
Starting point is 00:00:57 Okay, indicators of the week, starting off Darian. What you got? My indicator is a heat-related indicator. It's been very hot here in the northeast. I don't know about where you guys are, but it is swelter. Tell me about it. It's got me thinking about climate change and how much I should blame people having babies. It is probably almost certainly the baby's fault. Yes. But what do the numbers say before we accuse, you know, an innocent child?
Starting point is 00:01:26 A bunch of economists and demographers from the University of Texas at Austin and the City University of New York wanted to analyze this. So they fed some scenarios into a model. Scenario one, population growth. The world population grows and grows. people keep having lots of babies. Scenario 2, population decline. So this means that by the year 2,200, there are billions more people in the growth scenario. Can you guess which makes the planet hotter?
Starting point is 00:01:57 The one with more people driving more cars, consuming more plastic every day. Yes, yes. releasing more burps and belches and farts. Just tooting everywhere. That is the obvious answer. But what was surprising is that it's only extremely marginally. The research is estimated that by the year 2,200, so in 175 years,
Starting point is 00:02:18 the world would be only less than 0.1 degrees Celsius hotter under the population growth scenario. That is my indicator of the week, 0.1 degrees Celsius. Right. And countries have been trying to limit global warming to 2 degrees. So what you're saying, 0.1 degrees warmer, is not a huge increase in the scheme of things. Correct. So I guess I'm just curious how that actually works because I'm pretty sure that children eat a lot and require a great deal of driving around and like clothing and just they're very energy intensive. So how could it be that they have only marginal climate effects? So the insight here is that any shifts in population take many decades to take effect. So even if there was a completely unrealistic decree that nobody can have any baby, what's the population going to be tomorrow? It'll still be 8 billion people. And so it would take decades and decades for the population to really start decreasing meaningfully if people start having
Starting point is 00:03:20 much fewer kids. And so the idea is that as we start using electric vehicles more instead of combustion engines, as we electrify our heating, as we use solar power instead of coal, the average life will be much less carbon-intensive in a few decades' time. So what really matters for climate change is how carbon-intensive our world is over the next few decades, not in these faraway generations. I mean, we seem to be on the path to having fewer babies anyway, which is actually the topic of an upcoming episode next week. Yeah, I look forward to hearing more.
Starting point is 00:03:53 This news is going to land like an anvil in the anarchy community, okay? This is going to upend a lot of their assumptions. I look forward to that. Speaking of upending, let's talk about something that is going to upend potentially our whole industry, which is the world of AI. My indicator has to do with Anthropic, which is the company behind the AI chat software, Claude, and the indicator is $7 million. That's the number of pirated books the company downloaded into its own internal database a few years ago. And since then, the company has used some of those pirated books along with books that it purchased to train
Starting point is 00:04:29 its large language models. And this, of course, did not sit well with some of the authors of those books. What these authors did was they sued Anthropic for copyright infringement. And this week, a federal district court in San Francisco ruled in the company's favor. So the court said using a lot of these books to train large language models is actually okay under a legal doctrine known as fair use. Fair use is this longstanding exception to the general rule that copyright infringement is a no-no. Okay, so using books to train AI fair use, according to this judge. Basically, the judge said that what Anthropic did qualifies for the fair use exception, in part because it was transformative, another legal term. And sure, Anthropic didn't get the author's permission, but by using the books to train an LLM, Anthropic created something really different from the original, and that helps get it to that exception.
Starting point is 00:05:26 I've been watching cases like this for a while. We've covered artists suing AI companies before. this seems like a milestone in this big battle. That is right. And actually shortly after, there was a second victory for an AI company, a U.S. District Judge, also in San Francisco, ruled against authors in favor of meta. Although it's worth noting that the judge in that case said that training models on author's works could be considered unlawful in some circumstances. So it'll be interesting to see how these cases play out.
Starting point is 00:06:00 Well, thank you, Agent. We will keep watching the space with interest. Mary, what's your indicator? This week, as with every week, I am thinking about bonds, specifically this week, corporate bonds, because the New York Fed just updated its measure that it tracks of corporate bond market distress. And that measure has fallen. Did you know, to its historical 15th percentile, that is my indicator of the week, 15th percentile, meaning this index is near the bottom of the range where it has been ever.
Starting point is 00:06:29 So in basic terms, what does this mean? Okay, so you know, the bond market is where companies borrow big, huge sums of money to fund themselves, to do anything from, you know, build new factories, to expand their operations or just to function, depending on the health of the company. And this index that the New York Fed has, it measures things like how much new debt companies are issuing. And are the prices where they're issuing high or low? Are people trading those bonds, etc. Okay, the bond market's super chill right now, which stands in marked contrast to the world outside with tariffs, the low. the labor force and the immigration crackdown and companies being nervous, consumer confidence is in the pits. What the heck is happening, Mary?
Starting point is 00:07:09 So I think it's that companies are stressed out, but they are not distressed. Like, if you think about Ford and GM and all of those companies that have suspended their forward guidance, they're not going to say any longer how much they expect to sell in the next quarter or whatever, because they just don't know what's going to happen in the market, to themselves, with the tariffs. they just can't predict so they stopped doing it. But that doesn't mean that there has been a negative impact just yet. Okay. But what if it's just going to come soon?
Starting point is 00:07:40 Yeah, right. So that's kind of the sentiment right now. For example, S&P Global on June 24th forecast that the U.S. economy will grow just 1.7% this year, which is pretty blah. And then the next year will also be blah. And earlier this month, Fitch ratings said that non-financial companies in North America have a detainee. superior rating outlook, thanks to negative trends they expect to see in the economy like inflation and slowing consumer spending. And that's yet another thing that people expect to get worse, but it just hasn't really started to filter through yet. We just talked about this the other day on the show.
Starting point is 00:08:13 We talked to a lot of listeners who spend a ton in the past few months just to get ahead of tariffs and then pulled back. Yeah, people were doing some spending to buy ahead of tariffs hitting, but they seem to be pulling back. we're getting data in still, so it remains to be seen what the real impact will be. We're just in wait and C mode. Perhaps you've heard that a lot lately. And I've also heard analogies. Perhaps you have two, to, you know, wily coyote being suspended in mid-air, having just gone off a cliff holding an anvil. He's just like hovering there for a second. We might be in that split second. We'll find out. Well, I'll enjoy it while at last. Indeed. With a chill bond market.
Starting point is 00:08:51 Yes, it's a nice view from here. Mary Childs, thank you so much for joining us. Thank you for having me. This episode was produced by Angel Carreras and engineered by Quasi League. It was fact-checked by Sierra Juarez, edited by Julia Ritchie, Cake and Canon is our editor and The Indicators of Production of NPR.

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