Amazon, OpenAI and Anthropic Join Forces to Retrain US Workers for AI
Amazon, Microsoft, Anthropic and OpenAI back RAISE US, a 500 million dollar plan to retrain US workers for AI. Here are the upskilling paths to start now.

More than a dozen of America's biggest employers just put real money behind retraining workers for the AI economy. As The New York Times reported on June 25, 2026, Amazon, Microsoft, Anthropic and the OpenAI Foundation are among the founding backers of RAISE US, a new nonprofit that has already secured more than 500 million dollars to prepare US workers for jobs that AI is rapidly reshaping. The effort starts with pilot programs in four states. At Metaintro, we track how programs like this turn into real openings, and below is a plain guide to what RAISE US offers, who qualifies, and the free upskilling paths you can start today.
What Is RAISE US and Who Is Backing It?
RAISE US is a new nonpartisan nonprofit built to help workers and employers adjust to an economy reorganized around artificial intelligence. According to StateScoop, it is co-chaired by former US Commerce Secretary Gina Raimondo and former Indiana governor Eric Holcomb, and it brings together an unusual lineup of corporate names. The founding backers include Amazon, Microsoft, Anthropic and the OpenAI Foundation, with additional support from Bank of America, General Motors, IBM and Eli Lilly. The premise is blunt. These companies are building the tools that will change millions of jobs, and they are admitting that neither Congress nor most employers are ready for how fast that change is arriving. Rather than wait for federal legislation, RAISE US plans to use private and philanthropic money to test retraining ideas in the real world. For job seekers, the takeaway is simple. The same firms driving AI adoption are now funding the on-ramps back into work, and that is a shift worth understanding. At Metaintro, we see this as part of a broader move where employers stop treating training as someone else's problem. If you want context on the skills gap this is trying to close, our guide to why workers are the real bottleneck in the AI rollout lays out the problem in plain terms.
How Much Money Is Actually Behind the Push?
RAISE US launched with more than 500 million dollars in commitments and a stated goal of reaching 1 billion dollars, according to coverage of the June 25 announcement. That money will not arrive as direct checks to individuals. Instead, it funds pilot programs, employer incentives and worker support systems that the coalition wants to prove out before scaling nationally. It is a large number, but it sits alongside a wave of private training bets that have landed over the past year. Meta committed 115 million dollars to train Americans for data center jobs, Google pledged 50 million dollars to train 300,000 skilled trades workers, and Stepful raised 55 million dollars to fast track people into healthcare jobs. RAISE US is bigger and more coordinated, but it follows the same logic. Employers would rather pay to build talent than keep losing it. For workers, the dollar figure matters less than what it buys, which is a set of programs you may actually be able to use. At Metaintro, we read this as a signal that the money is moving toward credentials and short courses, not four-year degrees. That is good news if you need a faster, cheaper path into a new field.
Which States Get the First Programs and Who Qualifies?
RAISE US is starting in four states chosen as a deliberately bipartisan mix, Utah, Arkansas, Maryland and Connecticut. In each, the coalition will work with state governments and local employers to test policies before any national rollout. Arkansas, for example, is developing a program to connect students and job seekers directly to careers. The other states are building their own versions tied to local industries and employer demand. Eligibility details are still being finalized, so no one should claim a guaranteed slot yet. What is clear is the target audience. These programs are aimed at everyday workers whose roles are exposed to automation, people between jobs, and those who want to move into faster growing fields without starting from zero. If you live in one of the four pilot states, the practical move is to watch your state workforce agency and community college announcements over the coming months. If you do not, the model still matters, because successful pilots tend to spread. We have seen this pattern with a federal push to train US chip workers, which started as targeted funding and grew into a national pipeline. At Metaintro, we will track which programs open enrollment first so you do not miss a window. For now, treat your location as a head start, not a requirement.
There is also a practical reason the pilots stay small at first. Workforce programs that scale too quickly tend to lose the employer partnerships that make them work, so the coalition is deliberately starting narrow and measuring results before it grows. For a job seeker, that means the early slots will be competitive, and the people who research their local options now will have a real edge when enrollment opens. Treat the next few months as preparation time rather than a waiting room, because the workers who show up informed tend to get picked first.
What Does the Program Actually Offer Workers?
The early RAISE US pilots are built around a handful of concrete tools rather than vague promises. Coverage of the launch describes wage insurance, incentives for companies to retrain workers instead of laying them off, AI-powered career coaching and short-term credential programs. Wage insurance is the most novel piece. It is designed to cushion the pay drop a worker takes when moving from a shrinking field into a new one, which removes a major reason people avoid switching careers. The retraining incentives flip the usual layoff math by paying employers to keep and reskill staff instead of cutting them. AI-powered career coaching aims to give regular workers the kind of personalized guidance that used to be reserved for executives. And short-term credential programs focus on skills you can prove in weeks or months, not years. Taken together, these tools target the real barriers job seekers hit, which are money, time and uncertainty about what to learn. The catch is that pilots are small by design, so access will be limited at first. That makes it smart to pair any public program with your own plan. Our breakdown of the career skills that keep you employable as AI reshapes work is a good companion, and at Metaintro we keep a running view of which credentials employers actually reward.
It is worth being realistic about timing too. None of these tools will reach every worker overnight, and the first cohorts will be small while the coalition tests what works. The smartest approach is to assume you may not get a seat in the first round and to build your own momentum anyway. Free courses, employer academies and short certificates can carry you a long way before a formal program ever opens its doors, and any progress you make now compounds later when the bigger programs arrive.
Why Are These Companies Funding Worker Retraining?
It can feel strange that the same companies automating jobs are paying to retrain people for new ones, but the logic holds up. AI is restructuring roles faster than the workforce can adapt, and that gap is becoming a business problem, not just a worker problem. Layoffs blamed on AI keep climbing, and at the same time employers complain they cannot find people with the right skills. Metaintro CEO Lacey Kaelani told Fortune, "In combination with layoffs over the recent years plus the rise of required AI skills, experience is no longer enough." That single line explains why a coalition like RAISE US exists. Experience alone no longer guarantees a smooth path through the job market, so workers need new and verifiable skills, and employers need a faster way to build them. Funding retraining is cheaper for these companies than constant turnover, and it buys goodwill while regulators debate how to respond to AI driven job loss. For you, the motive matters less than the opportunity. When workers who use AI are earning more and employers now chase a short list of specific skills, the smart response is to get ahead of the retraining wave instead of waiting to be caught in it.
Which AI Skills Should You Build Right Now?
You do not need to become an engineer to stay competitive. The most useful AI skills for most workers are practical and learnable. Start with everyday fluency in AI tools, which means knowing how to prompt them well, evaluate their output, and recognize when human judgment has to override the machine. From there, build skills that pair with AI rather than compete with it, like data literacy, clear writing, project coordination and customer communication. These are exactly the abilities that survive automation, as our guide to the skills AI still cannot replace lays out in detail. If you work in tech, becoming an AI-ready coder is a direct path to higher demand, but coding is not the only route. Roles in healthcare, skilled trades, logistics and operations all increasingly reward people who can work alongside AI systems. The key is to layer new competencies on top of what you already do well, instead of abandoning your experience entirely. Our roundup of the in-demand skills worth the most in 2026 shows where the highest payoff sits and how to build each one. At Metaintro, we recommend picking one technical skill and one human skill to develop at the same time, because that combination is what hiring managers reward most.
Where Can You Start Upskilling for Free Today?
You do not have to wait for a state pilot to open. A lot of high-quality AI training is already free or close to it. Major providers like Google and Microsoft publish free AI and digital skills courses, and many community colleges offer low-cost certificate programs tied to local employers. The new wave of corporate academies is widening access too. Meta is paying to train people for data center jobs, and Anthropic is placing 1,000 AI fellows in nonprofits as a new on-ramp into AI careers. When you finish a course, the work is not done, because a credential only helps if employers recognize it. Our guide to making your digital credentials count explains how to put certificates where hiring managers will actually see them. If you were recently let go, you are not starting from scratch either, and laid-off tech workers are already reinventing their careers using exactly these tools. The most important step is to start before you need to. At Metaintro, we suggest committing a few hours a week now, so that when programs like RAISE US scale, you are ready to move rather than scrambling to catch up.
What Does This Mean for Your Next Career Move?
For job seekers and career changers, RAISE US is less about one program and more about a clear direction of travel. The biggest employers in the country are betting that the workers who thrive in the AI economy are the ones who keep learning, and they are spending real money to make that happen. That tells you where to point your own effort. Audit your role honestly and ask which parts an AI tool could already do, then build the skills that sit above that line. If you are in Utah, Arkansas, Maryland or Connecticut, get on your state's workforce mailing lists now so you hear about pilots early. If you are anywhere else, copy the playbook on your own with free courses and short credentials. Avoid the trap of waiting for the perfect program, because the workers who move first will fill the new openings before the rest catch on. It also helps to understand why some companies stall on this, and our look at the AI readiness gap that can quietly stall your career shows what to watch for inside your own employer. The shift toward AI is not slowing down, and neither is the investment in retraining. At Metaintro, we believe the smartest move is to treat this moment as an invitation, because the support is finally arriving for workers willing to take it.
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People Also Asked
Q: What is RAISE US and who is behind it?
A: RAISE US is a nonpartisan nonprofit launched on June 25, 2026 to help workers and employers adapt to an AI-driven economy. It is co-chaired by former US Commerce Secretary Gina Raimondo and former Indiana governor Eric Holcomb, and its founding backers include Amazon, Microsoft, Anthropic and the OpenAI Foundation, along with Bank of America, General Motors, IBM and Eli Lilly. The group has secured more than 500 million dollars and aims to reach 1 billion to fund retraining programs.
Q: Do I have to live in a pilot state to benefit?
A: The first pilots are limited to Utah, Arkansas, Maryland and Connecticut, so the earliest formal programs will be available there. You do not have to live in a pilot state to act, though. The same skills these programs teach, like AI fluency, data literacy and short-term credentials, are available now through free and low-cost courses you can start anywhere, and successful pilots tend to spread to more states over time.
Q: Which AI skills are worth learning first?
A: Start with practical fluency in AI tools, which means prompting them well, checking their output and knowing when human judgment should take over. Then layer in skills that pair with AI rather than compete with it, such as data literacy, clear writing, project coordination and customer communication. Picking one technical skill and one human skill to build at the same time is the combination hiring managers reward most in 2026.
Future-proof your career before AI rewrites your job description. Metaintro tracks the retraining programs, free courses and AI skills that actually get people hired, and delivers the openings to match. Sign up for Metaintro to get ahead of the next wave instead of chasing it.

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