AI IPO Billionaires to Unleash Largest Philanthropy Wave in Decades

Ryan Carrier founded ForHumanity, a nonprofit organization that audits AI systems, in response to a decade of AI failures: Facebook's election-shaking algorithms, Microsoft's Holocaust-denying chatbot, and Tesla's first fatal Autopilot crash. Despite the urgency, ForHumanity has raised only hundreds of thousands of dollars since 2016. That scarcity is about to change dramatically. OpenAI, the creator of ChatGPT, and Anthropic, the creator of Claude, are both valued at nearly a trillion dollars each and expected to go public soon. When they do, hundreds of current and former employees will become ultrawealthy—and many of them follow effective altruism, a philosophy that prioritizes making high-impact donations immediately rather than hoarding.

Anthropic's seven founders have already pledged to donate 80 percent of their wealth. The company has also agreed to match employee donations with one or three shares for every one employees pledge, depending on when they joined and up to a certain limit. A tech industry insider estimates that Anthropic's IPO alone—potentially happening in September—could generate $15 billion（約2.4兆円） a year in additional philanthropic giving. That would lift total US giving by about 2.5 percent annually, the equivalent of adding four Bill Gates–sized donors. The scale is staggering enough that nonprofits worldwide are preparing now, even though the money is far from guaranteed; IPOs could be delayed, underperform, or see employees keep their wealth.

The competition for donor attention is already acute. Jack Lewars, a consultant who advised 13 ultrarich tech and finance workers on charitable giving last year, reports that employees at AI labs are receiving as many as 20 unsolicited emails per week from organizations seeking support. Lewars has written on his blog, The Funding Anthropalypse, that cold-pitch tactics "has next to no chance of working." Instead, nonprofits are taking longer-term approaches: ramping up hiring, training staff to manage larger teams, developing marketing, and automating systems to position themselves to absorb and deploy large sums quickly. One education nonprofit explicitly listed building relationships at Anthropic as a hiring priority.

ForHumanity's Carrier is among the nonprofit leaders focusing on the work itself while quietly preparing for a funding shift. He has begun wondering how to get into IPO celebration events in San Francisco, recognizing that personal relationships will likely determine access to the wealth. Bo Young Lee, CEO of AI4ALL (which trains young adults to develop AI models and diversify the tech workforce), is attending more events, publishing research, and asking board members like AI scientist Fei-Fei Li to introduce her to AI lab employees. She has set "ambitious" fundraising goals, though introductory meetings have not yet materialized.

Other nonprofits are taking different strategies. Redwood Research, a Berkeley-based AI safety nonprofit, is betting that new wealth will flow through intermediary grantmakers like Coefficient Giving and Survival and Flourishing Fund, which pool donations from effective altruists. Redwood's CEO, Buck Shlegeris, is accelerating the training of managers in expectation that large funding will enable teams to grow and tackle "crazy expensive projects," such as automating safety research. Redwood's core mission is to minimize the risk that AI could lead to human extinction, a risk Shlegeris says he believes has a "really strong chance" of happening. Venture capitalist Geoff Ralston has authored an action plan calling for $2.5 billion（約4000億円） over the next five years to address AI biosecurity—the risk of AI being used to create bioweapons—and plans to solicit donations from IPO beneficiaries.

Grantmakers are preparing the nonprofit ecosystem to absorb this influx. Animal Charity Evaluators helped direct about $15 million（約24億円） to farm welfare nonprofits over the past year and is now helping newer organizations improve their administration and bookkeeping. Coefficient Giving, funded by Facebook cofounder Dustin Moskovitz and his wife Cari Tuna, committed $1 billion（約1600億円） to global health projects this month—a "one-off surge" nearly six times larger than initially planned—with the intention of creating "scalable opportunities" that can "effectively absorb much higher amounts of future giving." GiveDirectly, a nonprofit that transfers unconditional cash to people in poverty, discretely raised funding to support its own preparations: it is hiring engineers to automate finance and HR, forging partnerships to deploy money faster during disasters, and developing a plan for "a global AI wealth dividend" to fund people in extreme poverty. CEO Nick Allardice says the moment is "worth taking very seriously" despite IPO uncertainty.

However, significant anxieties linger. Nonprofits working on issues outside the San Francisco AI bubble—child safety, political disinformation, human rights—worry they will be overlooked. A broadly shared concern is that the sheer magnitude of funding will cause some causes to overflow with resources while others remain underfunded. AI existential risk—a priority for effective altruists—is expected to receive far more backing than efforts to fight mass surveillance or online harms. Marlena Wisniak, overseeing digital strategy at the European Center for Not-for-Profit Law, has been kept awake by this prospect. She recently scored a $100,000 donation to a human rights organization from an Anthropic employee and is now trying to convince OpenAI and Anthropic contacts to share lists of overlooked social justice organizations with their colleagues. She is also coaching nonprofits to reframe their work using language like "theory of change" and "evidence-backed" to appeal to effective altruists.

Some organizations are deliberately stepping back. Model Evaluation and Threat Research, which evaluates OpenAI and Anthropic models, decided against soliciting employee donations because it could jeopardize independence. Other groups fear that accepting funds tied to effective altruism could damage partnerships or alienate other donors, since the movement has been criticized as insular. Veteran nonprofit leaders are urging caution: groups should not neglect their core mission by contorting projects to fit funder preferences. AI4ALL's Lee adds a sharper critique: "The risk today is this industrialized wealth from these IPOs may not serve human good in hindsight. We have to avoid the allure of easy money simply to appease the prioritization of the wealthy." One immediate side effect is already visible—salary inflation in nonprofits and AI safety fields, as organizations prepare for larger teams. Resolution, an AI safety nonprofit, announced a $160 million（約260億円） grant from Coefficient this month, the largest award of its kind, and pledged to pay "well above nonprofit and academic norms" in response to the "enormous influx of philanthropic capital" following AI IPOs.

The anticipated IPOs of OpenAI and Anthropic represent a rare convergence of massive wealth creation and a donor base primed to give it away immediately. What distinguishes this moment from typical tech wealth is the prevalence of effective altruism among the employees who will benefit—a philosophy that explicitly rejects hoarding and favors rapid, high-impact deployment. The $15 billion（約2.4兆円） annual figure estimated for Anthropic alone would dwarf normal philanthropic flows, equivalent to adding multiple Bill Gates–scale donors to the US giving landscape in a single year.

However, the windfall is not yet certain. IPOs can be delayed or underprice; employees may hold onto their wealth despite pledges; and the sheer number of charitable options could lead to inaction or conservative giving. Competition for donor attention is already fierce—employees are receiving 20 unsolicited emails per week—suggesting that nonprofits must be strategic and visible rather than relying on cold outreach. Organizations are responding by building infrastructure (hiring, automation, partnerships) now so they can absorb and deploy capital rapidly when it arrives, effectively "building the port before the ship arrives," as one grantmaker put it.

A secondary effect is already visible: salary inflation in nonprofit and AI safety fields. The concentration of funding in a narrow set of priorities—AI safety, existential risk prevention, effective altruism–aligned causes—risks leaving other urgent work underfunded, such as human rights, digital privacy, and political disinformation. Some nonprofits are concerned that accepting AI IPO wealth could taint their independence or reputational standing, while others worry that chasing the money will distract them from their core mission.

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