Ten of the world's largest foundations just committed $500 million to people-centred AI.
- The Humanity AI coalition (MacArthur, Ford, Mellon, Mozilla, Omidyar + 5 others) committed $500M over 5 years to people-centred AI
- Over $600M in total AI workforce philanthropy identified globally in 2026, less than 1% of total AI investment
- Funders want operational models, not more research. Organisations already doing the work, not planning to start
- Australia has no equivalent philanthropic coalition. Government is beginning to move, but no coordinated funder commitment exists
The Humanity AI coalition, led by MacArthur, Ford, Mellon, Mozilla, and Omidyar Network, is the biggest coordinated philanthropic bet on the human side of the AI transition. Omidyar's announcement confirmed the coalition's scope. Here is the full map of who is funding AI workforce transition in 2026, and what it means for Australia.
What just happened in AI philanthropy?
Ten US foundations pooled $500 million over five years into a single fund called Humanity AI. The coalition includes MacArthur, Ford, Mellon, Mozilla, Omidyar Network, Packard, Doris Duke, Lumina, Kapor Center, and Siegel Family Endowment. Grants are disbursing through Rockefeller Philanthropy Advisors starting in 2026.
The fund targets five priority areas: democracy, education, humanities and culture, labor and economy, and security.
When MacArthur, Ford, and Mellon move in the same direction at the same time, it is a signal, not a gesture. These are institutions that shape funding categories. "Labor and economy" is now an explicit philanthropic priority alongside AI governance and safety. That is new.
Who is funding AI workforce transition, and how much?
Over $600 million in identified commitments exist in 2026 alone, scattered across continents and structures. Nobody has put them in one place until now.
| Fund | Amount | Focus | Status |
|---|---|---|---|
| Humanity AI (10 foundations) | $500M / 5 years | Democracy, education, labor, culture, security | Disbursing 2026 |
| AI Workforce PREPARE Act (US Senate) | $90M proposed | Workers affected by AI displacement | Bipartisan bill, FY26 |
| S&P Global StepForward | $10M / 3 years | AI workforce skills and reskilling | Active |
| LinkedIn Future of Work Fund | $200-300K grants | AI workforce nonprofits | Next cycle TBD |
| GitLab Foundation | $500K | Workforce pathways, disabled talent | Active |
| Mozilla democracy AI cohort | $50K grants | Responsible AI tools | Active |
| Australia National AI Plan (Dept of Industry) | TBD | Spreading AI benefits, workforce support | In development |
Total identified commitments: over $600 million in 2026 alone. Australia appears once, and only as a government plan still in development. There is no comparable philanthropic fund.
What are these funders looking for?
Operational models, not more research. Organisations already doing the work with people affected by AI-driven change.
Read the language carefully. Humanity AI's priority areas include "labor and economy." LinkedIn's fund targets organisations "preparing young adults for the AI economy." GitLab funds "workforce pathways and responsible AI tools for disabled talent." The PREPARE Act names "workers affected by AI."
The pattern is consistent. Funders want organisations that can show what early intervention looks like in practice, not describe it in a white paper. Deloitte's State of AI report puts it at 72% of enterprises with at least one AI workload in production. The technology is deployed. The displacement is underway. TEKVA's AI Displacement Monitor tracks the events as they land. Funders are catching up to a problem that workers have been living with for two years.
Why does less than 1% of AI investment go to social impact?
The World Economic Forum framed it starkly at Davos: over $1.5 trillion invested in AI globally. Less than 1% directed at social impact. That ratio tells you everything.
AI investment follows commercial logic. Returns compound. Social impact does not attract venture capital on a standard term sheet. Philanthropy is the correction mechanism, and it has been slow.
The $500 million Humanity AI commitment is significant precisely because the gap is so large. It is a fraction of total AI capital. But it is the first time this many institutional funders have said, in coordinated public language, that the human side of AI requires sustained investment.
layoffs.fyi tracked 45,000 tech workers laid off globally in Q1 2026. Over 20% of those cuts were explicitly attributed to AI. Block cut 4,000 jobs while posting record profits. Its stock rose 17% the same week. In a companion piece, I look at how 86% of the most exposed workers are women.
What does a working model of people-centred AI actually look like?
It looks like using the same technology that is displacing people to help them land.
TEKVA is an Australian charity that does this operationally. AI triages financial distress, generates customised hardship letters, builds action plans for people who just lost their job, and accelerates casework so responses happen in days, not months. The tools are free, public, and built for people who will never walk into a government office. If you have just lost your job, the Navigator is where to start.
That is what people-centred AI looks like in practice. Not a policy framework. Not a research agenda. Early-intervention infrastructure that reaches people in the freefall gap, the window between the shock and the system responding. We wrote about this dynamic in The Displaced Worker AI Paradox. The people most affected are the least likely to seek help.
What should Australian funders take from this?
Australia has no Humanity AI equivalent. No coordinated philanthropic response to AI workforce transition. The pieces are forming, but nobody has assembled them.
The Department of Industry's National AI Plan has begun scoping what the public sector can do to spread AI's benefits, including workforce support. That is a start. UTS's AI and Human Technology institutes are building academic capability around responsible AI. The Atlassian Foundation has a pillar for nonprofits and social enterprises. CSIRO's Main Sequence Ventures is investing in what it calls the next intelligence leap.
But none of this is coordinated. There is no pooled fund. No coalition statement. No public commitment from Australian philanthropy equivalent to what MacArthur, Ford, and Mellon just did in the US. The government is planning. The universities are researching. The foundations are adjacent. Nobody has said: this is the priority, and here is the money.
Meanwhile, the displacement is already here. Atlassian cut 480 Australian jobs in a single week. WiseTech lost senior leadership amid restructuring. Block's 4,000 cuts spanned continents. These are not hypothetical scenarios from a think tank report. They happened in Australian cities, to Australian workers, this quarter.
The infrastructure to catch those people does not exist at scale. Financial counsellor waitlists run six to eight weeks. Centrelink's assets test excludes anyone who was earning a professional salary last month. The response layer is missing. Inside Philanthropy noted in March that traditional education and workforce funders are being forced to reckon with AI's disruption of their existing portfolios. Australian funders face the same reckoning.
If you are a funder exploring AI workforce transition, we can show you what the model looks like in practice. Request a briefing.
Sources
- MacArthur Foundation — Humanity AI Commits $500 Million, 2026.
- Omidyar Network — Humanity AI Update, 2026.
- US Congress — AI Workforce PREPARE Act (S.3339), 2026.
- Deloitte — State of AI in the Enterprise, 2025.
- World Economic Forum — How Aligning Government, Business and Philanthropy with AI Can Catalyse Growth, 2026.
- layoffs.fyi — Tech Layoff Tracker, Q1 2026.
- Inside Philanthropy — How Is AI Disrupting Education and Workforce Development Philanthropy, 2026.
TEKVA is an Australian charity (PBI, DGR1) building early-intervention infrastructure for capable adults in financial crisis. We use AI to triage distress, generate action plans, and accelerate casework for people navigating job loss, business collapse, and economic displacement.
Frequently asked questions
What is Humanity AI?+
A $500 million, five-year coalition of ten major US foundations, including MacArthur, Ford, Mellon, Mozilla, and Omidyar Network. It funds people-centred AI across five priority areas: democracy, education, humanities and culture, labor and economy, and security. Grants are disbursing through Rockefeller Philanthropy Advisors from 2026.
How much philanthropic money is going to AI workforce programs globally?+
Over $600 million in identified commitments in 2026 alone, though this represents less than 1% of total global AI investment. The Humanity AI coalition accounts for $500 million of that total.
What is people-centred AI?+
AI development and deployment that prioritises human wellbeing, worker transition, and social impact alongside commercial outcomes. In practice, it means building AI tools that serve displaced workers rather than replace them. TEKVA is one example of this approach in operation.
Are there Australian equivalents to Humanity AI?+
Not yet at this scale. The Department of Industry has begun a national AI plan that includes workforce support. The Atlassian Foundation, CSIRO's Main Sequence Ventures, and the UTS Human Technology Institute are working in adjacent spaces. But Australia's philanthropy sector has not coordinated a comparable AI-specific fund, and there is no public coalition or pooled commitment.
What is TEKVA?+
TEKVA is a registered Australian charity (PBI, DGR eligible) building early-intervention infrastructure for people in financial crisis. It uses AI to triage distress, generate action plans, and accelerate casework for capable adults navigating job loss, business collapse, and economic displacement.
About the author
Dave Diamond · Founder & Operations Lead, TEKVA
Dave Diamond is the founder and operations lead at TEKVA, an Australian charity building early-intervention infrastructure for people in financial crisis. He writes about AI displacement, financial hardship, and the systems that are meant to catch people when they fall.
Related reading
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This article is published under a Creative Commons Attribution 4.0 International License. You are free to share and adapt this work with attribution to TEKVA.