AI Workforce Disruption Sparks $500 Million Fund Led by Former Commerce Secretary
Congress has failed to address workforce disruptions caused by artificial intelligence, prompting a $500 million nonprofit initiative led by Gina Raimondo, former U.S. Commerce Secretary and Rhode Island governor, according to a report by The New York Times. The group, Raise Us, includes tech firms like OpenAI, Anthropic, and Microsoft, as well as corporate giants such as Bank of America and Amazon, aiming to develop solutions for AI-driven job displacement.
What is Raise Us and Why Does It Matter?

Raise Us, a nonprofit launched in 2024, seeks to bridge the gap left by stagnant federal workforce policies. Raimondo, who previously served as Biden’s commerce secretary, emphasized the initiative’s uniqueness: “This is the first one I know of where competitors in the tech industry have put aside their competition to say, ‘We’re going to write big checks and, in the service of our country, do what we can to figure out this transition.’” The fund’s $500 million budget will focus on state-level pilot programs, retraining efforts, and policy research.
How Will the Fund Address AI Job Losses?
Estimates of AI’s impact on jobs vary widely, from potential losses of half of all entry-level white-collar roles to more limited disruptions. Despite low current layoffs, worker sentiment toward AI has deteriorated, with companies like IBM and Workday citing AI as a reason for cuts. Raise Us plans to collaborate with state governments to expand retraining programs, such as Maryland’s “service year” initiative for high school graduates entering healthcare roles. The group also aims to provide “wage insurance” for workers taking lower-paying jobs to avoid leaving the workforce.
What Role Do Tech Companies Play?

Microsoft, a major backer of Raise Us, has already tested cross-training programs for entry-level employees, equipping them with AI skills to adapt to evolving roles. “You can think of doing that with almost any job we have,” said Brad Smith, Microsoft’s vice chair. However, critics like Sam Manning of GovAI note that retraining has historically struggled to produce long-term success. “Past efforts have been ineffective,” he said, highlighting the need for evidence-based pilots.
What Are the Broader Policy Implications?
Raise Us operates amid a crowded landscape of AI policy proposals, including Senator Bernie Sanders’ plan to tax AI companies’ stock value and calls for shifting tax burdens to computing power. The nonprofit’s policy lab, funded by philanthropies, will explore ideas for government adoption. Raimondo also sits on a commission co-led by the American Enterprise Institute and Urban Institute, which will evaluate AI’s workforce impacts.
Why Is Congressional Inaction a Concern?
Federal workforce development programs, such as the 1973 Workforce Investment Act, have seen funding cuts, limiting their effectiveness. Jane Oates, former Labor Department official, noted that states like Texas and Massachusetts have found private-sector partnerships to address talent gaps. However, Raimondo argues that federal action will eventually be necessary to scale successful models.
What Challenges Does Raise Us Face?
The initiative’s reliance on corporate funding raises questions about its ability to recommend policies that could hinder AI industry growth. Harry Holzer, a policy professor involved in the commission, stated, “We won’t hesitate to talk about resources” if AI companies profit excessively. Meanwhile, critics like Jack Malde of the Windfall Trust warn that long-term income support may still be needed, even with improved retraining systems.
What’s Next for AI Workforce Policy?
Raise Us aims to replicate successful state programs nationally, with Raimondo drawing parallels to the post-World War II Committee for Economic Development. “I want to get started now to build the infrastructure to manage the transition,” she said. As AI’s economic impact accelerates, the nonprofit’s efforts could shape how the U.S. balances innovation with worker protection.

Source: White House Council of Economic Advisers
Source: Bureau of Labor Statistics