About Us RAISE US is building the workforce infrastructure America needs so workers can train, transition, and thrive in an AI economy. Submitter's Note: This plan has been inferred from the organization's public website and contemporaneous press coverage as of its launch on June 25, 2026, and rendered in StratML format by Claude.ai (Anthropic). It has been lightly edited in the form at https://stratml.us/forms/Claude/Part1.html ^^ It would be good if the organization were to publish its own plan and performance reports in StratML format. If its leaders wish to do so, they could use the form at https://stratml.us/forms/Claude/Part2.html to edit this prototypical draft. RAISE US af9341e3-7e37-4a8f-a207-4d60818fa7d1 A registered 501(c)(3) nonprofit launched June 25, 2026 by Gina Raimondo (Co-Chair & CEO) and Eric Holcomb (Co-Chair), partnering with state governments, employers, and educators to help the American workforce transition to an AI economy. American Workers State Governments Initial partner states: Arkansas, Connecticut, Maryland, and Utah. Employer Partners Educators & Trainers Philanthropic Funders Gina Raimondo Co-Chair & CEO Eric Holcomb Co-Chair An America where AI-driven progress fuels prosperity for every worker, with workers at the center of the AI transformation rather than on the sidelines. c6e86bb8-dfeb-43fe-9299-668102a0239e To partner with states, employers, and educators to ensure American workers can train, transition, and thrive in an economy transformed by AI. d0a042ff-44e0-4a6f-a769-9a5e55bc4e05 Worker-Centeredness Workers are the central concern of the AI transition, not a constituency to be managed around it; the Vision explicitly places workers "at the center of the AI transformation rather than on the sidelines," and Goal 3 is organized entirely around keeping them there. Bipartisan Collaboration Effective workforce transition requires governors, employers, and educators to act together "across political lines"; this is reflected in the deliberate mix of partner states and in an Organization stakeholder list spanning government, industry, education, and philanthropy. Evidence Before Scale Models are identified and tested locally before being scaled nationally, per Goal 1 and its Objective to identify effective local workforce-transition models and provide coordination to scale only what is shown to work. Urgency Goal 2 calls for moving workers into AI-resilient jobs quickly, reflecting a preference for deliberate speed over incrementalism given the pace of AI-driven disruption. Shared Responsibility The Mission commits to partnering with states, employers, and educators, treating workforce transition as a multi-sector obligation that no single actor can discharge alone. Infrastructure Modernize and connect America's fragmented workforce training and transition infrastructure into a single, unified system rather than funding isolated pockets of innovation. b54be7d4-cb17-4ee8-bd85-cda838aa6d2f 1 Unified Infrastructure: RAISE US describes existing federal and state spending on training, education, and unemployment support as substantial but fragmented and poorly tied to employment outcomes; this Goal directs the organization's pooled philanthropic and corporate capital toward connecting, rather than duplicating, that existing infrastructure. Scaling Identify effective local workforce-transition models and provide the capital and coordination needed to scale them nationally. a02a32d8-cf89-414c-a6b3-ad381fc64d91 1.1 Scale What Works: RAISE US points to Arkansas's AI-powered career-navigation platform, branded Arkansas LAUNCH, as an early example of a state-level model it intends to evaluate and potentially scale to other states. Collaboration, Determinations & Actions Bring governors, employers, and educators together across political lines to determine where AI-resilient jobs are emerging and move workers into them quickly. efbd34a0-68e5-4561-8ac2-623db31cb7a5 2 Cross-Sector Bargain: CEO Gina Raimondo has framed the organization's core question as identifying which jobs will remain resilient to AI and moving workers into them quickly; this is intended to require sustained cooperation among Republican- and Democratic-led states alike, since states control much of the credentialing, community-college, and tax-incentive policy that shapes employer retraining decisions. Pilots Launch and evaluate workforce-transition pilot programs with initial state government partners in Arkansas, Connecticut, Maryland, and Utah. bd52d221-716c-4362-bbc5-57aa97443b5d 2.1 Arkansas Connecticut Maryland Utah State Pilots: Initial state government partners span both parties — Arkansas (Gov. Sarah Huckabee Sanders, R), Connecticut (Gov. Ned Lamont, D), Maryland (Gov. Wes Moore, D), and Utah (Gov. Spencer Cox, R) — each publicly committed to using RAISE US resources to build state-specific workforce-transition models intended to generalize nationally. Worker-Centricity Ensure that as AI reshapes the economy, the resulting transformation keeps workers at its center rather than leaving them behind. db2abace-cb3c-4325-881c-e75c5679260c 3 American Workers Worker-Centered Transition: Raimondo has publicly acknowledged that, while she expects AI to ultimately raise productivity and create new industries, she is concerned about a transition period in which workers could be harmed before new opportunities materialize; this Goal is the organization's response to that specific risk. Incentives Design and pilot corporate incentives that encourage employers to retrain and redeploy displaced workers rather than lay them off, alongside modernized transition supports such as wage insurance and career navigation. a4a4b3bc-736b-4e6a-88d0-ae5b130638bd 3.1 Employers Employer Incentives: Beyond direct incentives for employers to retrain rather than lay off workers, RAISE US has signaled interest in revisiting decades-old unemployment-insurance policy — for example, allowing displaced workers to keep receiving benefits while using AI tools to start a new business — though no specific policy proposal had been published as of this rendering. 2026-06-25 2026-06-25 https://www.raiseus.ai/about Owen Ambur Owen.Ambur@verizon.net