Would you say that you and your family are better off or worse off, financially, than you were a year ago? Do you think in 12 months we'll have good times, financially, or bad? Generally speaking, do you think now is a good time or a bad time to buy a house? These are the kinds of questions baked into the Consumer Sentiment Index. And while the economy has been humming along surprisingly well lately, sentiment has stayed surprisingly low. Today on the show: We are really bummed about the economy, despite the fact that unemployment and inflation are down. So, what gives? We talk to a former Fed economist trying to get to the heart of this paradox, and travel to Michigan to check in on the place where they check the vibes of the economy.

In the state of Oregon, there is a glut of grass. A wealth of weed. A crisis of chronic. And, jokes aside, it's a real problem for people who work in the cannabis industry like Matt Ochoa. Ochoa runs the Jefferson Packing House in Medford, Oregon, which provides marijuana growers with services like drying, trimming and packing their product. He has seen literal tons of usable weed being left in marijuana fields all over the state of Oregon. Because, Ochoa says, there aren't enough buyers. There are just over four million people in Oregon, and so far this year, farmers have grown 8.8 million pounds of weed. Which means there's nearly a pound of dried, smokable weed for every single person in the state of Oregon. As a result, the sales price for legal marijuana in the last couple of years has plummeted. Economics has a straightforward solution for Oregon's overabundance problem: trade! But, Oregon's marijuana can only be sold in Oregon. No one in any state can legally sell weed across state lines, because marijuana is still illegal under federal law. On today's episode, how a product that is simultaneously legal and illegal can create some... sticky business problems. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

Here at Planet Money, Thanksgiving is not just a time to feast on turkey, stuffing, mashed potatoes, green bean casseroles and pie(s). It's also a time to feast on economics. Today, we host a very Planet Money Thanksgiving feast, and solve a few economic questions along the way. First: a turkey mystery. Around the holidays, demand for turkey at grocery stores goes up by as much as 750%. And when turkey demand is so high, you might think that the price of turkey would also go up. But data shows, the price of whole turkeys actually falls around the holidays; it goes down by around 20%. So what's going on? The answer has to do what might be special about supply and demand around the holidays. We also reveal what is counted (and not counted) in the ways we measure the economy. And we look to economics to help solve the perennial Thanksgiving dilemma: Where should each dinner guest sit? Who should sit next to whom? This episode was hosted by Erika Beras and Jeff Guo. It was produced by James Sneed with an assist from Emma Peaslee and edited by Jess Jiang. It was fact-checked by Sierra Juarez and engineered by Josh Newell. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney. Always free at these links: Apple Podcasts, Spotify, Google Podcasts, the NPR app or anywhere you get podcasts. Find more Planet Money: Facebook / Instagram / TikTok / Our weekly Newsletter.

Some of the most influential and beloved novels of the last few years have been about money, finance, and the global economy. Some overtly so, others more subtly. It got to the point where we just had to call up the authors to find out more: What brought them into this world? What did they learn? How were they thinking about economics when they wrote these beautiful books? Today on the show: we get to the bottom of it. We talk to three bestselling contemporary novelists — Min Jin Lee (Pachinko and Free Food for Millionaires), Emily St. John Mandel (Station Eleven, The Glass Hotel and Sea of Tranquility), and Hernan Diaz (Trust, In the Distance) – about how the hidden forces of economics and money have shaped their works. This episode was hosted by Mary Childs and Alexi Horowitz-Ghazi. It was produced by Willa Rubin, edited by Molly Messick, and engineered by Neisha Heinis. Fact-checking by Sierra Juarez. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney. Always free at these links: Apple Podcasts, Spotify, Google Podcasts, the NPR app or anywhere you get podcasts. Find more Planet Money: Facebook / Instagram / TikTok / Our weekly Newsletter. Music: Universal Music Production - "This Summer," "Music Keeps Me Dancing," "Rain," and "All The Time."

China's economic growth for the past few decades has been extraordinary. And much of that growth was fueled by real estate – it was like this miraculous economic engine for the country. But recently, that engine seems to have stopped working. And that has raised all kinds of questions not just for China but also for the global economy. Today on the show, we look at what's happening inside China's real estate market. And we try to answer the question: how did we get here? Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

When best-selling thriller writer Douglas Preston began playing around with OpenAI's new chatbot, ChatGPT, he was, at first, impressed. But then he realized how much in-depth knowledge GPT had of the books he had written. When prompted, it supplied detailed plot summaries and descriptions of even minor characters. He was convinced it could only pull that off if it had read his books. Large language models, the kind of artificial intelligence underlying programs like ChatGPT, do not come into the world fully formed. They first have to be trained on incredibly large amounts of text. Douglas Preston, and 16 other authors, including George R.R. Martin, Jodi Piccoult, and Jonathan Franzen, were convinced that their novels had been used to train GPT without their permission. So, in September, they sued OpenAI for copyright infringement. This sort of thing seems to be happening a lot lately–one giant tech company or another "moves fast and breaks things," exploring the edges of what might or might not be allowed without first asking permission. On today's show, we try to make sense of what OpenAI allegedly did by training its AI on massive amounts of copyrighted material. Was that good? Was it bad? Was it legal? Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

The world of economics has these two different sides. One one side, there are the economists in their cozy armchairs and dusty libraries, high up in their ivory towers. On the other, there's the messy world we're all living in, where those economics are actually playing out. Sometimes, researchers will write about something that they themselves have never actually experienced. Sure, they've thought about it, theorized, come up with smart analyses...but that's not the same as getting out of that armchair and into the real world. So, in this episode, we play our own version of Never Have I Ever. We dare two researchers to go places and do things they have never done before, in hopes of learning something new about the economic world around us. (Okay, fine, it's maybe more like Truth or Dare...but go with us here.) Today's episode was hosted by Alexi Horowitz-Ghazi and produced by Emma Peaslee with help from Willa Rubin. It was edited by Sally Helm, fact checked by Sierra Juarez and engineered by Maggie Luthar. Alex Goldmark is our executive producer. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

When Lina Khan was in law school back in 2017, she wrote a law review article called 'Amazon's Antitrust Paradox,' that went kinda viral in policy circles. In it, she argued that antitrust enforcement in the U.S. was behind the times. For decades, regulators had focused narrowly on consumer welfare, and they'd bring companies to court only when they thought consumers were being harmed by things like rising prices. But in the age of digital platforms like Amazon and Facebook, Khan argued in the article, the time had come for a more proactive approach to antitrust. Just four years later, President Biden appointed Lina Khan to be the Chair of the Federal Trade Commission, one of the main government agencies responsible for enforcing antitrust in America, putting her in the rare position of putting some of her ideas into practice. Now, two years into the job, Khan has taken some big swings at big tech companies like Meta and Microsoft. But the FTC has also faced a couple of big losses in the courts. On today's show, a conversation with FTC Chair Lina Khan on what it's like to try to turn audacious theory into bureaucratic practice, the FTC's new lawsuit against Amazon, and what it all means for business as usual. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.