Artificial intelligence is creating a new class of potential megadonors before some of their companies have even reached an exit. The promise is simple: if the business becomes enormously valuable, a large share of the founder’s personal proceeds will go to charity.
That idea now sits at the center of a broader debate about AI wealth, philanthropy, and power. The founders making these pledges argue that success in business can become a tool for saving lives. Critics ask whether private fortunes, however generously donated, are the right way to solve problems tied to extreme wealth and unequal influence.
A Different Kind of AI Windfall
David Silver is the clearest example of the new pattern. His stake in Ineffable Intelligence, the artificial intelligence lab he founded, is described as being worth an enormous fortune. But Silver says he has arranged things so that he will not keep the proceeds for himself if the company is sold.
Silver worked at Google DeepMind between 2013 and 2025. His specialty was reinforcement learning, a method for training AI systems through positive and negative feedback. In 2016, he led the development of AlphaGo, which became the first AI to defeat a human champion in Go and was described as a narrow form of superintelligence.
He left to start Ineffable Intelligence in January. The bet behind the company is that reinforcement learning breakthroughs can help close the gap between human and machine cognition more broadly.
The company raised $1.1 billion from investors at a $5.1 billion valuation, reportedly the largest seed round in Europe’s history. Alongside that financing, Silver pledged to donate all money he personally makes from any future sale of the company to charity.
“I was thinking very deeply about what I could do to have the maximum impact on the world,” Silver tells WIRED in an interview at his office in Kings Cross, London, around the corner from DeepMind’s headquarters. “Not just through the work I do, but through the finance I arrive at in the process.”
Silver has not yet decided exactly where the money would go. He says he will choose after selling the company, but his stated goal is to save as many lives as possible.
The Pledge Model Is Gaining Ground
Silver is not alone. Other AI founders have made similar commitments, including Mustafa Suleyman, a DeepMind cofounder and the CEO of AI at Microsoft, and Anton Osika, founder of automated coding platform Lovable.
The scale could grow significantly if OpenAI and Anthropic go public as planned. The source article notes that such listings could create thousands of new millionaires, making the AI industry a much larger force in tech philanthropy.
Silver made his commitment through Founders Pledge, a nonprofit that helps entrepreneurs give away wealth. One important distinction is that Founders Pledge uses a contract. That makes it different from the Giving Pledge, which is public but nonbinding.
“The choice of making a binding pledge was very important,” says Silver.
Founders Pledge has existed since 2015, but the value of pledges it records has risen sharply. The total moved from $400 million in 2023 to $4 billion so far this year. AI now accounts for a third of the organization’s lifetime pledge total.
David Goldberg, a cofounder of Founders Pledge, describes the organization’s goal as finding “the very best ways to deploy capital at scale to make the world better.” The group is often compared with effective altruism, which emphasizes using evidence and scale to choose causes, but Goldberg resists that label. He says Founders Pledge focuses on human suffering in the present.
“We’re far more humanist,” he says.
Effective Altruism, But Focused on Now
Silver does consider himself an effective altruist, but he frames his version differently. His “flavor is about the here and now,” he says. That points him toward charities such as the Malaria Foundation, which he sees as equipped to save many lives in the near term.
“I find it hard to justify focusing on the galactic future of humanity when there are millions of people suffering and dying today,” he says.
Osika has pledged to give away half of his equity proceeds. He does not identify as an effective altruist, but he shares the view that building a successful company can be the most powerful way for him to increase his personal impact.
“I think it’s a very good thing for people who are very thoughtful about the future of humanity to build [AI],” he tells WIRED.
That belief connects the new AI pledges to an older tradition of techno-philanthropy. The Gates Foundation has given more than $100 billion to causes focused on poverty and disease in the 25 years since it was founded by Bill and Melinda Gates. Mark Zuckerberg and Priscilla Chan have pledged to donate their $200 billion fortune to scientific research through the Chan Zuckerberg Initiative.
Supporters of this model see business success and charitable ambition as connected. In that view, the profit motive can generate resources that later flow into urgent social problems. The AI founders now making pledges appear to want to extend that legacy into a future they believe will be reshaped by superintelligence.
“For a very long time, it’s been clear to me that this technological transformation is going to be the biggest thing that happens in our lives,” says Osika.
The Accountability Problem
The harder question is not whether donations can do good. It is who gets to decide what good means when the money comes from a small number of extremely wealthy people.
Linsey McGoey, professor of sociology at the University of Essex and author of No Such Thing as a Free Gift, argues that philanthropy cannot be separated from the systems that create very large fortunes. She warns that calling on capitalism to solve problems linked to wealth concentration and inequality may be deeply limited.
“It’s like calling upon the arsonist to hose down the house he’s just set on fire.”
McGoey also says megadonors can use giving to quietly advance political interests. The source article points to a recent study finding that reliance on philanthropic funding led the WHO to prioritize donors’ preferred causes over other urgent issues, including non-communicable diseases.
The WHO has acknowledged financing concerns, and in 2022 put forward a new model intended to address some of them. Mark Suzman, the Gates Foundation’s CEO, has also recognized the problems created when a private foundation becomes one of the largest funders of multinational global health work.
“It’s not right for a private philanthropy to be one of the largest funders of multinational global health efforts,” he said in 2023, noting that the foundation had become the WHO’s second-largest donor.
Suzman also argued that reduced government contributions are part of the problem. “I’d love it if many more governments would pass us on that list,” he said.
Apolline Taillandier, a University of Cambridge researcher specializing in political theory, sees the legitimacy issue clearly. Megadonors may fund causes that governments neglect, including family planning. But unlike elected officials, they do not face the same public accountability.
“These funders are not elected. They have no need to account for their decisions,” she says. “It comes down to the question of whether philanthropy is the most legitimate way of redistributing resources.”
Why AI Makes the Debate Sharper
The AI philanthropy wave matters because the fortunes involved may be created quickly and at large scale. A pledge tied to a company’s future value can become more powerful as the company succeeds. That creates an obvious upside for charities, but also a tension: the more aggressive the business growth, the larger the eventual donation could be.
The source article raises the concern that such a structure could be used to justify unsavory business practices or reckless accelerationism. It also asks whether this generation is truly different from earlier Silicon Valley giving.
For now, the answer is unresolved. Silver’s pledge is binding. Founders Pledge is growing. AI founders are increasingly presenting philanthropy as part of their responsibility to the future. At the same time, critics argue that private giving cannot replace democratic choices about redistribution, public health, and social priorities.
The result is a defining question for the AI boom: if the industry creates vast new fortunes, should society welcome the donations that follow, scrutinize the power behind them, or do both at once?