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Chapter 1: What is the main topic discussed in this episode?
You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. I'm your host, Elise Hu. 50 million American workers could lose their jobs to AI, and there's no plan to help them yet.
So it turns out America has seen a similar movie to this before, when we didn't plan for an economic transition. And by the way, it didn't end well.
That's former governor of Rhode Island and U.S. Secretary of Commerce Gina Raimondo. In her talk from TED 2026, she shares an unflinching look at the threat of AI-induced economic disruption and social unrest. She offers a concrete blueprint to prepare workers for what's coming next, a future built on incentivizing businesses to invest in people, bridging the gap between old and new careers.
How about we pilot tax credits or other economic incentives that reward companies for worker redeployment, for entry-level hiring, for reinvesting AI productivity gains into new jobs?
Chapter 2: What is the potential impact of AI on American jobs?
We have spent decades, if not longer, perfecting the incentives for investing in machines.
We need to do the same so companies invest in people. The good news? History shows that when the stakes are high, America reinvents itself. That's coming up right after a short break.
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Chapter 3: How has America historically dealt with economic transitions?
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And now, our TED Talk of the day.
What will it take for America to lead the global AI competition? Now, we all know we'll need plentiful energy, the best chips, the most innovative AI companies, the best models. But I argue that's not nearly enough. Because if we're the best in the world at those things, but we've displaced millions of American workers, then we're going to lose the global AI race.
In fact, we will have automated our decline, because recession, social unrest, political upheaval, those will weaken our country, our politics and our economy. And ultimately, I believe, I know, they will lead to excessive, burdensome regulation of AI that will slow and stop and hinder AI innovation.
The reality is the United States can't lead the world in technological innovation if it's failing its people at home. We need a technology strategy and a human capital strategy, because the only way to truly win the long-term AI race is to lead in the technology and to have a plan that brings everybody along to an AI economy.
Now, I think it's incredibly exciting to think about what a well-trained individual can do with AI. Think about how much more productive and creative we'll all be and how many new businesses will be created. And I'm optimistic because history shows every time we create a new technology, it does create new jobs, new industries, new products, new services. Over time. with some time.
And I'm confident that that will happen again, this time with AI.
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Chapter 4: What blueprint does Gina Raimondo propose for the future workforce?
With time. So what I'm worried about is the near-term disruption to workers as we transition from here to an AI economy. Because, I know this as a former governor and secretary of commerce, America's workforce and career transition systems weren't built for this moment.
Some people estimate tens of millions of American workers are in AI-vulnerable jobs, all kinds of jobs, people of every age, geography, income level of education. We are not prepared for this transition, and Americans know it. I was at a bar the other night watching NCAA basketball, Huge University of Michigan fan. And it's all ... Go blue. It's all everybody was talking about.
It's all the chatter. What are you going to do when you lose your job to AI?
Chapter 5: How can tax incentives help workers displaced by AI?
I'm so bummed I'm paying all this money for tuition for my kids in college. Are they going to have a job when they're done? Americans are anxious for a reason, and we owe them more than empathy. We owe them a plan. We owe them action. And so far, I'm not hearing a lot of good solutions. There's the slow AI, stop AI, over-regulate AI crowd. It's a bad idea.
It denies Americans the promise of AI, and China will pull ahead. And then there's the universal basic income crowd. That's also a bad idea. Every one of you know a job's more than a paycheck. It's dignity, it's purpose, it's pride. Without purposeful work, a society unravels. So what are the elements of an effective transition plan?
Unfortunately, as I stand here today, I don't know the exact details. But here's what I do know. I know it's rooted in a new grand bargain between government and business. I know it means tearing down the wall we've had for so long between school and jobs. And I know industry, every company, needs to help lead the transition. And here is what I know more than anything else.
I know if we are determined, we can make it happen. At a minimum, we need massive changes in both our workforce training system and our career transition support system. In an effective workforce training system, employers define where work is today, what skills are needed, where it's going, and then schools and government training programs prepare people to get there.
That is not what we have today. Today, in our country, we spend hundreds of billions of dollars to incentivize enrollment in college, without regard to whether people get a degree, the skills they need for a job or a job. The truth is, and you all know this, government and schools don't know the skills employers need today or will need tomorrow. Industry has the most accurate and dynamic view.
By the way, I've seen this be successful as governor and secretary of commerce. When TSMC decided to expand manufacturing of chips in America, they told us what they needed. They needed skilled electrical engineers and equipment operators. So we got to work.
We designed with them, with community college, with certificate initiatives, accelerated certificate programs and apprenticeships tailored to the company's needs. Today, TSMC is thriving in Arizona, making leading-edge AI chips at scale for the first time in America's history. Another problem with our current system is it's a one and done system.
You graduate high school, you go to college, you're done with your education. That isn't going to work in an AI economy. All of us, all of us, we'll have to learn new skills because our jobs will be constantly changing over the course of a career. Let's be honest. Most people learn most of the skills that they use in their job every day on the job. Yeah?
So why don't we have more effective, affordable, flexible options at scale so people can earn while they learn continuously over the course of a career? A good friend of mine's husband recently lost his job in IT. Super smart guy in his late 30s. So he spent a long time trying to figure out a job that excited him that he thought was an AI-resilient career path.
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