The OpenAI Foundation, the non-profit arm of the ChatGPT maker, OpenAI announced it will commit an initial $250 million in grants, partnerships, and direct work aimed at building what it describes as “secure and abundant economic futures” in an era of rapid AI-driven change. The foundation is hiring a team and plans to begin making grants within a few months, with first initiatives expected to be announced later this year.
The money will be directed across three areas: investing in independent measurement and forecasting to better understand AI’s effects on employment and wages; supporting workers and communities through near-term disruption; and building frameworks for long-term economic security, including new approaches to sharing AI’s gains broadly. The announcement marks one of the foundation’s first concrete steps since its separation from OpenAI’s commercial business last year as part of a broader corporate restructuring.
Divya Siddarth, who co-leads the foundation’s economic work alongside OpenAI co-founder Wojciech Zaremba, said the organisation is “operating from the assumption that AI will have a massive impact on the economy” while acknowledging deep uncertainty about its pace and scale. Zaremba drew an explicit parallel with the industrial revolution, describing the foundation’s role as partnering with civil society and government to “handle the transition and work out what a post-AGI future should look like,” adding: “We think there’s a way to be working on the transformation today, even though in a sense we’re navigating fog.”
A programme with ambition — and a credibility gap
The foundation’s framework goes further than the standard retraining-programme response that has dominated policy discussions around automation. It acknowledges that traditional retraining has mixed evidence, and its proposed long-term measures include shifting taxation from labour toward capital, exploring sovereign wealth fund models drawn from Norway’s Government Pension Fund and Alaska’s Permanent Fund, and developing adaptive fiscal mechanisms that respond to observable indicators such as changes in labour’s share of income or concentrated gains among capital owners.
“The window to get this right is shorter than we’re used to, and the cost of getting it wrong is immense.” — OpenAI Foundation
Yet the announcement has drawn scrutiny on two fronts. The first is timing. Despite committing in March to hand out $1 billion over 12 months across various areas, critics — including Elon Musk, whose legal challenge to OpenAI’s restructuring was dismissed this month — have pointed out that the foundation has yet to disburse a single grant. At the trial, Altman’s defence team repeatedly described the foundation as “one of the best-funded non-profit organisations in history,” while Altman said he hoped it might one day have trillions of dollars to deploy. The foundation has said it expects to announce its first initiatives later this year.
The second concern is structural. The OpenAI Foundation holds a 26% stake in OpenAI’s commercial arm, currently valued at more than $200 billion within an overall company valuation of $852 billion. Sam Altman sits on the boards of both entities. The foundation’s future grant-making capacity is therefore tied directly to the commercial success of the company whose technology it is tasked with monitoring — an arrangement that raises questions about how independently it can assess AI’s harms, and how credibly it can advocate for policy changes that might constrain the industry’s growth.
Big money, but is it the right kind of accountability?
Altman has argued that the foundation retains ultimate control over OpenAI’s commercial direction, given its power to hire and fire directors of the business. The foundation is also the ultimate steward of OpenAI’s stated mission to ensure that artificial general intelligence “benefits all of humanity” — a responsibility it carried forward when the company converted to a more traditional for-profit structure last October.
Whether $250 million — or even the $25 billion the foundation has committed to spending over time to ameliorate AI’s negative impacts — is proportionate to the scale of disruption ahead remains an open question. What the programme can plausibly deliver is research infrastructure: better labour market data, pilots of income-support models, and the economic simulations needed to make future policy options legible before they become urgent. Whether governments and democratic institutions then act on that research is beyond any foundation’s control. The measure of this initiative will not be the size of the pledge, but whether the foundation proves willing to publish findings that are inconvenient for the industry funding it.
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Source: Mpost.io
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