In Part 1 of this series, AI proved that it could use real research and real interviews to write an original script for an episode of Planet Money.Our next task was to teach the computer how to sound like us. How to read that script aloud like a Planet Money host.On today's show, we explore the world of AI-generated voices, which have become so lifelike in recent years that they can credibly imitate specific people. To test the limits of the technology, we attempt to create our own synthetic voice by training a computer on recordings of former Planet Money host Robert Smith. Then we introduce synthetic Robert to his very human namesake.There are a lot of ethical, and economic, questions raised by a technology that can duplicate anyone's voice. To help us make sense of it all, we seek the advice of an artist who has embraced AI voice clones: the musician Grimes.(This is part two of a three-part series. For part one of our series, click here)This episode was produced by Emma Peaslee and Willa Rubin, with help from Sam Yellowhorse Kesler. It was edited by Keith Romer and fact-checked by Sierra Juarez. Engineering by James Willetts. Jess Jiang is our acting executive producer. We built a Planet Money AI chat bot. Help us test it out: Planetmoneybot.com.Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

We used to think some jobs were safe from automation. Though machines have transformed industries like agriculture and manufacturing, the conventional wisdom was that they could never perform what's called "knowledge work." That the robots could never replace lawyers or accountants — or journalists, like us.Well, ever since the release of artificial intelligence tools like ChatGPT, it feels like no job is safe. AI can now write essays, generate computer code, and even pass the bar exam. Will work ever be the same again?Here at Planet Money, we are launching a new three-part series to understand what this new AI-powered future looks like. Our goal: to get the machines to make an entire Planet Money show. In this first episode, we try to teach the AI how to write a script for us from scratch. Can the AI do research for us, interview our sources, and then stitch everything together in a creative, entertaining way? We're going to find out just how much of our own jobs we can automate — and what work might soon look like for us all.(And, in case you're wondering... this text was not written by an AI.)This episode was produced by Emma Peaslee and Willa Rubin. It was edited by Keith Romer. Maggie Luthar engineered this episode. It was fact-checked by Sierra Juarez. Jess Jiang is Planet Money's acting executive producer. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

Lyle Jack wants to build a wind farm on the Pine Ridge Reservation in South Dakota. But to make the project work, he has to connect that wind farm to the electric grid. Which is easier said than done. On today's show - how the green energy revolution may live, or die, by bureaucrats trying to untangle a mess of wires. This episode was produced by Willa Rubin. It was edited by Sally Helm, fact-checked by Sierra Juarez, and engineered by Katherine Silva. Jess Jiang is our acting executive producer.Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

It's time for another installment of ... Planet Money Predictions! *air horn* Last year, we invited two economic forecasters to tell us what they saw coming for jobs, the housing market, and inflation. And now they're back. Which means it's time to find out whose predictions were more on the money, and send the victor to the next round, where they face off against a new forecasting phenom. Since our last game, housing and inflation have cooled, but the job market keeps going strong. And the possibility of a recession still looms large. Our forecasters tell us what they see in the economy now, and what they expect in the months ahead.This episode was produced by James Sneed. It was engineered by Katherine Silva. It was fact-checked by Sierra Juarez and edited by Molly Messick. Jess Jiang is our acting executive producer.Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

For the last four decades, technology has been mostly a force for greater inequality and a shrinking middle class. But new empirical evidence suggests that the age of AI could be different. We speak to MIT's David Autor, one of the greatest labor economists in the world, who envisions a future where we use AI to make a wider array of workers much better at a whole range of jobs and help rebuild the middle class.This episode was produced by Dave Blanchard and edited by Molly Messick. It was fact-checked by Sierra Juarez and engineered by Katherine Silva. Jess Jiang is Planet Money's acting executive producer.Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.