AI Workforce

Raise Us brings OpenAI, Anthropic and big employers into the AI workforce transition

Raise Us is today's AI labor market story after the OpenAI Foundation, Anthropic, Amazon, Microsoft, employers, and states backed a large workforce transition effort.

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Brief

The most practical AI labor story for June 26, 2026 is Raise Us, a new workforce initiative backed by major AI labs, large employers, state governments, educators, and philanthropists.

Raise Us matters because it turns AI job disruption from an abstract debate into a program with money, state pilots, and policy experiments. The AI industry has spent the past year arguing about whether generative AI will eliminate entry-level white-collar jobs, reshape middle-class work, or mostly augment existing roles. This initiative is a sign that the major players now see workforce transition as part of the AI deployment problem.

What happened today

Raise Us launched with support from the OpenAI Foundation, Anthropic, Amazon, Microsoft, IBM, Bank of America, Eli Lilly, state governments, educators, and philanthropic partners. The effort has raised $500 million and is connected to a larger ambition to build a national platform for helping workers and state leaders adapt to AI-driven job changes.

Former Commerce Secretary Gina Raimondo and former Indiana Governor Eric Holcomb are leading the effort. The first state partnerships include Arkansas, Connecticut, Maryland, and Utah.

The early pilots are expected to test ideas such as wage insurance, short-time compensation, retraining incentives, short-term credential programs, and AI-powered career coaching. In plain terms, Raise Us is trying to answer a difficult question: if AI changes work faster than traditional education and training systems can respond, what can states and employers actually do now?

Why it matters

  • AI workforce transition is becoming a product, policy, and economic issue at the same time.
  • The OpenAI Foundation and Anthropic are supporting a program aimed at disruptions their own technology may accelerate.
  • State governments will become test beds for AI job-market policy.
  • Wage insurance and retraining incentives could become part of the AI adoption conversation.
  • AI-powered career coaching may become an early consumer-facing use case for public workforce systems.
  • Employers may face more pressure to retrain workers instead of treating AI adoption only as a cost-cutting plan.

What it means for companies adopting AI

Companies should read Raise Us as a warning that AI adoption cannot be separated from workforce planning. Buying AI tools is the easy part. The harder part is redesigning roles, retraining teams, changing incentives, and deciding which tasks should be automated, assisted, or left human-led.

If a company only deploys AI to cut headcount, it may create operational risk, morale problems, and public backlash. If it pairs AI adoption with training, internal mobility, and clearer career paths, the same technology can become a productivity upgrade rather than only a labor shock.

What workers should watch

Workers should watch whether these pilots produce useful, portable systems or just one-off programs. Wage insurance sounds concrete, but it only matters if workers can actually access it during transitions. AI-powered career coaching can be useful, but only if it points to real employer-linked pathways rather than generic training recommendations.

The important signal is that career navigation is becoming an AI use case. The same technology that changes jobs may also be used to map skills, recommend training, match people to roles, and help states see which occupations are under pressure.

Goodiebase view

Raise Us is practical AI news because the AI tools market is no longer only about better models. It is also about how organizations absorb those tools without breaking workflows, teams, and local labor markets.

For Goodiebase users, the takeaway is simple: evaluate AI tools together with the operating model around them. A tool that saves time is valuable. A tool that saves time while helping teams move into better workflows is much more valuable. The next phase of AI adoption will be judged not only by automation gains, but by whether people can actually move with the work.

Raise Us AI Workforce News: OpenAI, Anthropic and Jobs | Goodiebase