I was reading the Financial Times over coffee when a line stopped me: money was flowing back into a movement most people thought dead. You remember the SBF collapse—FTX felled a marquee believer—and for a while EA looked like a label in ruins. The mood that day felt like a scoreboard flipping mid-game.
I’ll say this plainly: I watch donors and labs the way you watch weather patterns when a storm is coming. You don’t have to agree with every calculation EA makes to see the mechanics at work. I want to show you how AI funding and a handful of influential hires have nudged Effective Altruism off the ropes.
More than 60 Anthropic employees have signed the 10% Pledge.
That is a concrete, traceable sign: Anthropic staff publicly commit to Giving What We Can’s 10% pledge, and the company’s seven founders pledged to give away 80% of their fortunes. These are not slogans; they’re recorded promises tied to names you’ll recognize.
Anthropic isn’t an abstract bridge between tech and philanthropy. It’s staffed by people who carry EA commitments into product and hiring decisions. Names matter here: Daniela Amodei is married to Holden Karnofsky, a founding voice of EA. When founders and senior engineers adopt those norms, funding and priorities flow toward AI safety research, not merely toward faster model training.
Is Effective Altruism still influential after the FTX scandal?
Short answer: influence never went to zero. After Sam Bankman‑Fried’s 2023 conviction, many donors froze and some organizations took a reputational hit. Giving What We Can reported a sharp loss tied to FTX but has rebounded: its receipts rose from $1.2 billion (€1.1 billion) in 2024 to about $2 billion (€1.8 billion) in 2025.
I’ve spoken with funders who told me they paused, audited ties, and then re-engaged with renewed controls. That matters more than platitudes: institutional memory and stricter governance replaced naïve trust. You should assume the renewed money is more scrutinized than before.
Giving What We Can’s receipts rose from $1.2 billion (€1.1 billion) to about $2 billion (€1.8 billion) last year.
Those figures are the clearest signal that donors returned. Wired and the FT tracked similar trends: AI-focused groups are now command centers for a fresh wave of giving. You can trace the dollars to labs, fellowships, and grant programs focused explicitly on long-term risk and model alignment.
Here’s the psychological shift: people who previously gave to disaster relief or global health now see a lever in AI safety that promises outsized future returns. That belief is persuasive to high earners in tech—especially when companies like Anthropic and OpenAI are hiring from the same intellectual pool.
How does AI investment revive Effective Altruism?
Because investors see a path from software to outsized philanthropic capacity. Analysts estimate an Anthropic exit could add roughly $15 billion (≈€13.8 billion) a year to philanthropic flows—just from one firm—raising the baseline of U.S. giving by a measurable chunk. That projection recalibrates what’s financially possible for long‑termist causes.
Look at it this way: donors who believe in reducing existential risk often treat investments in safety research as leverage. If the market keeps valuing safety-aware teams, you get more capital chasing the problem. I’ve watched grant committees retool their priorities accordingly.
Analysts expect an extra $15 billion (€13.8 billion) a year from an Anthropic exit.
That estimate is not a fantasy; it’s a financial model published and discussed in outlets like Wired and the FT. When a company with philanthropic-minded founders approaches a liquidity event, a predictable fraction of proceeds can translate into giving.
Anthropic’s potential IPO or acquisition has become a narrative engine: reporters, donors, and researchers all reframe the next decade around that capital. OpenAI, Anthropic, and their investors aren’t just building models—they’re shaping funding pipelines for EA‑aligned research agendas.
Silicon Valley hires and high-profile pledges are changing where researchers work.
Hiring patterns are a practical metric: more EA-affiliated researchers entering labs means research agendas tilt toward safety and governance. That brings grants, fellowships, and institutional attention with it.
You should note the platforms involved. Anthropic, OpenAI, and philanthropic organizations like Giving What We Can and the Open Philanthropy Project act as hubs. Media coverage—FT, Wired, the New York Times—amplifies those hubs into influence waves. I follow those channels because they’re where decisions seed and spread.
I want to be honest with you: the movement isn’t fixed or monolithic. Some parts still suffer reputational drag from FTX and bad optics; other parts are quietly professionalizing. The donors returning now often demand measurable outcomes, board oversight, and clearer separation between money and personal charisma.
EA’s comeback is not triumphant music; it’s a patient, bureaucratic rhythm—more grant agreements, more ethics checks, more hiring of alignment researchers at firms that also ship products. You’ll see fewer martyr narratives and more Excel sheets. The pattern reminds me of a tide that comes back predictably after a storm.
So what do you make of it? Will money and talent keep EA alive as a political force for AI safety, or will fresh scandals reset the clock again?