Gina Raimondo argues the U.S. is about to repeat its China shock mistake with AI — displacing millions of workers while moving too slowly to retrain them. Her nonprofit Raise Us, backed by $500M from Amazon, Anthropic, Microsoft, and OpenAI, is piloting state-level programs like AI-driven career navigation in Arkansas and a year-of-service initiative in Maryland. The core bet: fix the infrastructure for worker transitions now, before mass layoffs hit, rather than scrambling reactively like the government did after manufacturing collapsed.
Key Moments
Gina Raimondo
“The layoffs will come before the new jobs and the folks who get laid off may or may not be the ones who get the new jobs.”
Raimondo explaining why optimism about AI creating new jobs misses the real problem — the timing gap and the mismatch between who loses and who gains.
“If you start a business when you're on unemployment insurance, you get kicked off of unemployment insurance. If you go back to school when you're on UI, you get kicked off of UI.”
Raimondo cataloguing the specific ways the existing U.S. social safety net actively punishes displaced workers who try to recover.
“What happens now? A company fires people today, their stock price goes up tomorrow.”
Raimondo making the case that current incentive structures reward layoffs rather than worker retention, undercutting the argument that markets will self-correct.
“Let's say a lot of those people lose their job. That will destroy this country. If you think our politics are dysfunctional and violent today, that will literally lead to rioting in the streets.”
Raimondo explaining to Dubner why AI companies have a self-interested reason to fund worker transition efforts — unmanaged displacement threatens social and regulatory stability.
“The average person was waiting for benefits for almost a year and loads of people gave up.”
Raimondo describing the fatal flaw in Trade Adjustment Assistance after the China shock — workers had to prove their job moved to China, which was nearly impossible, causing most to abandon the process.
Gina Raimondo served as U.S. Commerce Secretary under President Biden, where she was a chief architect of the CHIPS Act. Before that, she was a two-term governor of Rhode Island and co-founded the state's only venture capital firm. She holds degrees from Harvard (economics), Oxford (sociology PhD), and Yale (law), and now leads Raise Us, a bipartisan nonprofit focused on helping American workers navigate the AI transition.
Takeaways
1
Arkansas is piloting AI-driven career navigation at the UI office Under Governor Sarah Huckabee Sanders, Arkansas is testing a model where workers who file for unemployment immediately receive an AI-delivered skills assessment, matched against real open jobs in the state, with a tailored training pathway attached. Raimondo sees this as the template for modernizing a system that currently offers little more than a check.
2
U.S. safety net actively punishes recovery attempts Unemployment insurance disqualifies recipients who start a business or enroll in school — the exact behaviors that would help them recover. There is also no wage insurance at scale, and the one federal job-training tax credit ($5,000/year) is rarely used because it's too bureaucratically complex. These aren't bugs; they reflect a system designed for a different era.
3
China shock's TAA program failed due to certification bureaucracy The Trade Adjustment Assistance program required displaced workers to prove their specific job moved to China — a near-impossible bar. The average wait for benefits stretched to almost a year, and most people gave up entirely. Raimondo cites this as the model of what not to do when designing AI transition support: don't attach eligibility to unprovable causation.
4
AI companies are funding worker transitions out of self-interest Amazon, Anthropic, Microsoft, and the OpenAI Foundation are anchor funders of Raise Us, committing toward a $1B goal. Raimondo's pitch to them was explicit: mass unemployment from AI would trigger political backlash, regulatory crackdowns, and social unrest that would be bad for their businesses — making proactive investment in worker transition a rational hedge, not just philanthropy.
5
CHIPS Act succeeded by being bipartisan by design Raimondo deliberately cultivated Republican co-ownership of the CHIPS Act so that when the Biden administration left, Republican members of Congress still had political skin in the game. The Trump administration has continued implementing it largely unchanged. This is her blueprint for Raise Us: build a coalition of governors from both parties so the work survives electoral cycles.
6
Entry-level college graduates are the first visible AI casualties Raimondo notes that the only clear data so far showing AI harming employment is concentrated among workers in their 20s with college degrees seeking entry-level roles — the jobs most amenable to AI substitution. This is a leading indicator, not a plateau.
7
AI job losses will precede new job creation Raimondo's central warning is that even if AI ultimately creates as many jobs as it destroys, the sequencing is brutal — layoffs come first, new roles emerge later, and the workers displaced are often not the ones who fill the new positions. This is the same pattern that devastated Midwestern manufacturing towns after the China shock.