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Today's deep dive · 19 October 2026

Anthropic's 5% Public Benefit Fund explained: who gets the shares, and when

Anthropic will put 5% of its shares, about $48B at its May valuation, into a fund it controls, with more as its value grows. How it works and what's missing.

13 min at full depth13 primary sources

In 60 seconds

  • On 18 October 2026 Anthropic said it will put 5% of its shares into a new Anthropic Public Benefit Fund. Stockholders still have to approve it, and it comes weeks before the company's expected IPO.
  • The fund is a wholly owned LLC, not a charity. At the board's discretion it can receive another 2% of shares for every 50% rise in company value above a baseline Anthropic has not disclosed.
  • Priced at Anthropic's May valuation, the first 5% is worth roughly $48B, which would make it one of the largest pools of corporate philanthropy ever. The baseline, the governance and the source of the shares are all still undisclosed.

Anthropic, the maker of Claude, wants to give away a slice of itself: 5% of its shares now, and possibly more each time the company's value climbs. Priced at its last private valuation, the first 5% would be worth about $48 billion (our arithmetic: 5% of the $965 billion May valuation). Anthropic says it could be used on problems such as workers displaced by AI. The pledge arrives weeks before what could be the largest IPO in history, so how it works, and what it leaves out, matters well beyond Anthropic.

The plain-English version

On Sunday, 18 October 2026, Anthropic announced the Anthropic Public Benefit Fund. The idea is simple to state. The company sets aside 5% of its ownership for "the public good", and if the company keeps growing in value, it may set aside more.

Think of a family that owns an orchard and promises one row of trees to the village. They also promise to plant another row for the village each time the orchard grows by half. Nobody gets fruit today. The village gets a claim on future harvests, and the claim is worth more if the orchard thrives. Anthropic's fund works the same way. It doesn't receive cash. It receives shares, slices of company ownership, which can later be sold or used to pay for things.

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Everything else in AI · 19 October 2026

Today in AI: 8 things that happened

  1. Business · Big

    Anthropic commits 5% of its shares to a new Public Benefit Fund, pending stockholder vote

    Anthropic said on Sunday it will put 5% of its shares into the Anthropic Public Benefit Fund, subject to stockholder approval, with the board able to add 2% more for every 50% rise in company value above a baseline it has not yet disclosed. The fund is a wholly owned LLC rather than a charity, and Anthropic says none of its equity will be used for lobbying or political giving. Possible uses include large donations to nonprofits or direct payments to specific groups, with AI-driven job disruption given as an example; Anthropic had already set aside $200 million for that issue. Counting the co-founders' pledge to give away 80% of their equity and an employee donation match, the company says roughly 20% of its shares are now earmarked for public benefit. CNBC reports the IPO is slated for November.

    Why it matters: It is one of the largest corporate equity pledges tied to AI's social effects, made weeks before Anthropic's expected IPO. How much good it does will depend on governance details the company says it will publish 'in the coming months'.

    Anthropic · CNBC

  2. Business

    Microsoft reportedly quits Nscale's Essex AI data centre over grid power delays

    Microsoft has ended its agreement to be the main customer at Nscale's planned data centre in Loughton, Essex, The Telegraph reported on Sunday. The site was meant to house about 23,000 Nvidia GPUs, but UK grid officials said they could not supply enough power until the 2030s (SiliconANGLE). Nscale called its Microsoft relationship 'strong and long-term' and said it is exploring alternative power sources for the site. The loss comes as Nscale prepares a New York IPO; Microsoft and Anthropic make up about 85% of its contract value according to its filing. Bloomberg separately reported, citing people familiar with the matter, that some investors are pushing for a valuation of $16 billion to $19 billion rather than the roughly $30 billion Nscale is seeking (the Telegraph puts the target at up to $35 billion).

    Why it matters: The Essex site was a flagship UK AI project. Its loss shows that grid connections, not chips, are now the hard limit on AI buildouts, and it puts the business model of 'neoclouds' (GPU rental firms) under more pressure.

    SiliconANGLE · The Telegraph · Bloomberg

  3. Business

    Executives expect only 7–10 neoclouds to survive a shakeout, The Information reports

    Industry executives expect only 7 to 10 of the hundreds of 'neocloud' GPU-rental providers to survive a coming shakeout, The Information reported on Sunday (via Techmeme). According to the report, Nvidia is supporting the sector with easier credit terms, help finding sites, and about $20 billion in data-centre leases (Asianet Newsable).

    Why it matters: Read it alongside the Nscale story above: the firms renting out GPUs depend heavily on a few customers and on Nvidia's backing, and executives expect most of them to be gone or absorbed.

    Techmeme / The Information · Asianet Newsable

  4. Products

    Anthropic is asking law firms how AI agents should negotiate deals, FT reports

    Anthropic is consulting law firms on negotiation tactics as it builds AI agents that bargain on people's behalf and deal with other companies' agents, the Financial Times reported on Sunday, citing two people familiar with its thinking. Open questions reportedly include how much an agent should check back with its user during a negotiation, and how wary it should be of rival agents without becoming 'paranoid' (PYMNTS). Anthropic declined to comment to the FT.

    Why it matters: Agent-to-agent negotiation is moving from lab experiment to product, and the norms for it, such as what an agent may concede or disclose, are being written by the companies themselves.

    Financial Times · PYMNTS

  5. Business

    Disney agrees to hire most of bankrupt Character.AI's staff

    Disney will offer jobs to at least 60 Character.AI employees, the majority of the chatbot startup's workforce, with roles carrying an estimated $60 million in annual pay, TechCrunch reported. Character.AI filed for bankruptcy earlier in the week. Disney had already agreed to buy some of its assets for $20 million as a 'stalking horse' bid, meaning a rival bidder can still offer more. Character.AI's former CEO Karandeep Anand recently became Disney's first CTO.

    Why it matters: One of the best-known consumer chatbot startups is ending up as a talent purchase by a media company, a sign of how hard it is to run a standalone AI companion app.

    TechCrunch

  6. Policy

    Anthropic's Jack Clark tells IMF meeting AI could lift US GDP to $44 trillion

    Speaking at the IMF and World Bank annual meetings in Bangkok on Saturday, Anthropic co-founder Jack Clark said an internal Anthropic model projects that, under certain conditions, US output could grow by nearly half by 2030, to about $44 trillion from just over $30 trillion; he admitted it 'sounds very outlandish' (Reuters via Manila Times). He called for international cooperation on 'unusual and serious rules' for AI, said policymakers have 'a small number of years' to act, and acknowledged AI is already costing jobs in call centres and customer service, while adding them in scientific research.

    Why it matters: It is a frontier lab pitching a growth forecast and stricter rules to finance ministers at once. The forecast comes from a company model, not an independent one.

    The Manila Times (Reuters)

  7. Research

    TreeOPSD trains long-horizon research agents better than GRPO without a critic

    A new paper, Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning, branches each multi-step agent run into a tree of alternative continuations and uses the final rewards to work out which individual turns helped. It needs no separate value model or teacher. The authors report it raises Qwen3-30B-A3B-Thinking-2507's average accuracy on deep-research tasks by 4.97 points over GRPO, a widely used training method.

    Why it matters: Credit assignment, working out which of many steps earned the reward, is a main bottleneck in training agents for long tasks. This is a cheaper approach, though the results are the authors' own.

    Hugging Face Papers / arXiv

  8. Research

    MIT model reads 3D crystal structures and text together to find new materials

    MIT researchers described a multimodal model, published in Nature Communications, that links 3D atomic structures of crystals with synthetic text descriptions generated from papers and databases. Unlike a version trained only on text from papers, it learned to match structures to descriptions and predicted material function better; for solid-state battery electrolytes, its top picks included materials other groups had independently flagged as promising. It can also answer plain-language queries for materials with a given property.

    Why it matters: Pairing structure with language lets scientists search materials by describing what they want, which could speed up early-stage discovery for batteries and other uses.

    MIT News

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