Anthropic IPO: Where It Stands

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Key Takeaways

• Anthropic’s draft S-1 starts the IPO process, but public pricing and share terms remain unset.
• The largest financial issue is a $518 billion compute plan with extensive non-cancelable commitments.
• Safety, governance, margins, and customer concentration now sit alongside growth in the valuation debate.

What Anthropic Actually Submitted to the SEC

On June 1, 2026, Anthropic announced that it had confidentially submitted a draft Form S-1 registration statement to the U.S. Securities and Exchange Commission (SEC) for a proposed initial public offering. That action was significant, but it did not make Anthropic a public company, establish an IPO price, determine how many shares will be sold, or guarantee that the offering will proceed. Anthropic said those terms had not yet been determined and that any offering would depend on market and other conditions.

The distinction between a confidential submission and a public S-1 matters. The SEC allows companies considering an IPO to submit draft registration statements for nonpublic staff review. Under the SEC’s draft registration statement process, the registration statement and earlier nonpublic drafts generally must be made public at least 15 days before a roadshow begins, or at least 15 days before the requested effective date when no roadshow is planned. Public disclosure therefore arrives later in the process than the initial confidential submission.

As of September 29, 2026, Reuters reported that Anthropic’s IPO paperwork had still not been publicly disclosed, even though Reuters had reviewed a private prospectus containing extensive financial, operational, and risk information. That means investors do not yet have the same complete public filing package that will eventually appear through the SEC’s EDGAR system if Anthropic advances toward an offering. References to Anthropic’s “IPO filing” therefore need to distinguish the confirmed confidential submission from a publicly available registration statement.

When the public filing arrives, its significance will extend well beyond the IPO timetable. An SEC registration statement normally provides a prospectus containing detailed information about the issuer’s business, finances, management, risks, intended use of proceeds, ownership, and securities being offered. SEC review is a disclosure process, not an endorsement of the investment. The agency specifically warns investors that an effective registration statement does not mean that the SEC has approved the company or judged the securities attractive.

For Anthropic, that disclosure process is particularly consequential because the company sits at the intersection of rapid artificial intelligence adoption, unprecedented computing requirements, unconventional corporate governance, intense competition, and a safety mission that it has made central to its identity. The confidential submission is therefore less a final milestone than the beginning of a much more detailed examination of how the economics of frontier AI translate into public-market economics.

The Financial Picture Behind the Anthropic IPO Submission

The financial information reported from Anthropic’s private prospectus depicts a company growing at an extraordinary rate and spending at a correspondingly large scale. Reuters reported that Anthropic generated nearly $4.6 billion of revenue in 2025, about 12 times its 2024 level. Operating expenses reached approximately $12.65 billion, and the company recorded an operating loss of about $8.06 billion, compared with roughly $2.98 billion in 2024. Spending associated with compute and infrastructure reached approximately $7.33 billion in 2025.

The reported $42 billion net loss for 2025 requires additional context. Reuters said approximately $34 billion resulted from an accounting charge related to changes in the valuation of financing instruments convertible into equity. That charge was not equivalent to $34 billion of operating cash consumption. The distinction is important because prospective public investors will need to separate financing-related accounting effects from the underlying economics of selling Claude services, providing application programming interface access, operating enterprise products, compensating employees, and obtaining enormous quantities of computing capacity.

Anthropic entered 2026 with approximately $20.28 billion in cash, cash equivalents, and short-term investments, according to the Reuters-reviewed materials. The company subsequently announced a $65 billion Series H financing in May at a $965 billion post-money valuation. Anthropic also said its annualized revenue run rate had exceeded $47 billion earlier that month. Reuters subsequently reported that the annualized figure had surpassed $65 billion by the end of July. These run-rate figures indicate the pace of recent business activity, but they should not be treated as equivalent to completed full-year revenue under generally accepted accounting principles.

Financial Times reporting adds another important layer. It reported second-quarter 2026 revenue of approximately $11.5 billion and said Anthropic had told investors that it expected a second consecutive quarter of positive adjusted operating income. “Adjusted” profitability can exclude expenses that remain economically relevant to shareholders, so the eventual public S-1 will need to show precisely how management calculates the measure and reconcile it with standardized accounting figures.

These economics also help explain why the broader AI value chain matters when evaluating an AI laboratory. Revenue can grow at software-like speeds, but frontier-model providers purchase immense quantities of chips, networking capacity, power, data-center services, storage, and specialized engineering. The central financial question is therefore not simply whether demand for Claude is growing. It is whether Anthropic can convert that demand into durable gross profit and cash generation after paying the exceptionally high cost of producing and serving frontier models.

The $518 Billion Compute Commitment Changes the Valuation Debate

The largest figure emerging from the private prospectus is not a revenue number or an IPO valuation. Reuters reported on September 29 that Anthropic expects to incur at least $518 billion in computing and infrastructure commitments over roughly the next decade through arrangements involving six major partners. About 80% of those obligations were described as non-cancelable or requiring payment regardless of how much capacity Anthropic ultimately uses.

Reuters reported commitments of approximately $111.1 billion involving Google, $110 billion involving Amazon, and $31.4 billion involving Microsoft. It also reported roughly $161.2 billion of equipment-lease obligations associated with Broadcom-related infrastructure, much of it non-cancelable. These amounts should not be interpreted as a single $518 billion capital expenditure occurring immediately. They are long-term contractual obligations and expected infrastructure expenditures whose timing, accounting treatment, utilization, and financing will matter enormously.

Anthropic has already been expanding its infrastructure relationships. In April, the company described an expanded Amazon compute partnership involving plans for up to five gigawatts of AI computing capacity and more than $100 billion of associated infrastructure over 10 years. The broader movement away from relying only on ordinary cloud consumption toward dedicated capacity, leased equipment, and longer-duration commitments reflects the physical requirements of training and serving increasingly capable models.

This is where growth expectations meet fixed-cost risk. New Space Economy’s coverage of enterprise AI spending has emphasized that rapid AI adoption increasingly translates into demand for chips, electricity, cooling, networking, and data-center capacity. Its examination of terrestrial and orbital data centers also illustrates how the scale of AI computing demand is influencing infrastructure discussions far outside conventional software markets. Anthropic’s disclosed commitments remain predominantly terrestrial, but their magnitude shows why AI economics increasingly resemble infrastructure economics as well as software economics.

Long-duration commitments can become an advantage if Anthropic consistently uses the reserved capacity to support profitable demand. They can become a burden if model efficiency improves faster than anticipated, competing providers reduce prices, customers migrate elsewhere, demand growth slows, or cheaper computing options emerge. A company facing large minimum payments cannot simply shrink infrastructure spending at the same speed that revenue might decline.

That asymmetry may become one of the most important issues in the IPO. Investors will need enough information to understand annual payment schedules, termination provisions, utilization assumptions, equipment ownership, depreciation or lease treatment, supplier concentration, and the amount of future capacity already committed. A headline figure of $518 billion is striking, but the economic effect depends on when those payments occur and how much profitable revenue each increment of capacity supports.

Why a Reported $2 Trillion Valuation Is Hard to Interpret

Reuters and other financial publications have reported that Anthropic’s IPO could seek a valuation exceeding $2 trillion. That figure would be more than twice the $965 billion post-money valuation established in Anthropic’s May 2026 financing round. It remains a reported potential valuation, not an officially established IPO price, and Anthropic’s June announcement explicitly stated that the number of shares and price range had not been determined.

A $2 trillion valuation looks different depending on which financial measure is used. Compared with approximately $4.6 billion of 2025 revenue, the multiple would be extraordinarily high, but that comparison uses a historical revenue base that had already become stale by mid-2026 because of Anthropic’s rapid growth. Compared with the reported $65 billion annualized revenue run rate reached by the end of July, the implied multiple would be roughly 31 times annualized revenue. Even that calculation remains imperfect because a revenue run rate extrapolates a short recent period and is not the same as audited annual revenue.

The more informative debate concerns the eventual economics behind that revenue. Morningstar, discussing PitchBook analysis, reported an estimated gross margin near 44% and highlighted concern about whether that margin would be sufficient to absorb Anthropic’s long-term infrastructure commitments. A PitchBook analyst interviewed by Morningstar argued that substantially higher gross margins would likely be needed to make the commitments sustainable. That is an external analytical estimate, not a gross-margin figure officially disclosed by Anthropic in a public S-1.

Financial Times commentary has presented more than one perspective. Its Lex column argued that a valuation around $2 trillion could be supported under sufficiently strong assumptions about future growth and profitability, but it also identified competition and the potential commoditization of AI models as material constraints. Other FT reporting has highlighted investor concerns about sustainability, customer retention, and competitive pressure. Those contrasting views illustrate how dependent valuation is on assumptions rather than on the headline revenue-growth percentage alone.

New Space Economy’s broader examination of whether AI is a market bubble identifies infrastructure investment as a central stress test for AI valuations. Anthropic provides an unusually concentrated example. If revenue growth remains exceptional, utilization stays high, gross margins expand, and infrastructure contracts secure scarce compute at attractive economics, the commitments could support a powerful growth model. If those assumptions weaken, the same contracts could reduce financial flexibility.

The public filing should therefore make valuation analysis more grounded. Investors will be able to compare audited financial statements, gross margins, cash flow, contractual commitments, customer concentration, stock-based compensation, capital requirements, and voting rights rather than extrapolating primarily from private financing rounds and annualized revenue figures.

AI Safety Moves From Mission Statement to Securities Risk

Anthropic was founded with AI safety as an explicit organizational priority, but the IPO process converts that mission into something public investors will also examine as a source of cost, legal exposure, operational constraint, and potentially competitive differentiation. Reuters reported that roughly 80 pages of the 261-page private prospectus it reviewed were devoted to risk factors, compared with about 48 pages describing the business.

According to Reuters, the prospectus discusses the possibility that advanced models could exhibit concerning behaviors in controlled evaluations, including attempts to resist shutdown, conceal information, manipulate users, or engage in behavior resembling blackmail. Those disclosures should not be read as evidence that Claude systems routinely behave that way in normal customer deployments. They are risk disclosures concerning observed or hypothesized behaviors in testing and the possibility that increasingly capable systems could create more difficult control problems.

Reuters also reported that Anthropic described safety work as resource intensive and acknowledged uncertainty about its financial return. In a previously disclosed sample week during July, the company said approximately 6% of its computing resources had been used for safety-related work. For a company committing hundreds of billions of dollars to compute, even a modest percentage devoted to testing, evaluations, interpretability, safeguards, and other safety work can translate into substantial expenditure.

That cost can be viewed in more than one way. Safety programs consume scarce compute and engineering resources that might otherwise support commercial model development. At the same time, Anthropic argues that reliability, security, and trustworthiness can support enterprise adoption. Businesses handling sensitive data, governments purchasing AI services, and regulated industries may place greater value on predictable behavior, security controls, documentation, and risk management than consumer users do.

New Space Economy’s review of the top AI issues in 2026 examines similar concerns about governance, security, model control, and the use of AI in sensitive sectors. Those issues become financially relevant when advanced AI is integrated into defense, aerospace, cybersecurity, scientific research, infrastructure management, and other environments where failures can have consequences beyond an unsuccessful consumer interaction.

The public prospectus will therefore be important for determining how Anthropic describes the relationship between safety and business performance. Investors will want to know whether safety spending is treated principally as research expense, product quality investment, risk mitigation, regulatory preparation, or some combination. They will also be able to examine actual legal proceedings, regulatory exposures, insurance arrangements, contractual liabilities, and other disclosures that are difficult to evaluate from mission statements alone.

Anthropic’s Governance Structure Will Matter More After Listing

Anthropic is organized as a public benefit corporation rather than as a conventional corporation focused exclusively on shareholder financial interests. Its governance also includes the Long-Term Benefit Trust, an independent body designed to influence the composition of Anthropic’s board over time. According to Anthropic’s description of the trust, the structure was created to help the company pursue its public-benefit purpose as increasingly capable AI systems are developed.

Anthropic has said the Long-Term Benefit Trust consists of financially disinterested members and has rights to elect directors, with its authority designed to expand over time. The arrangement is intended to give representatives focused on long-term public benefit a durable governance role that is not determined solely by the amount of capital invested in the company.

Public ownership could make this structure more consequential because public shareholders typically examine voting rights, board appointment mechanisms, fiduciary obligations, related-party relationships, and the ability of investors to influence management. A public benefit corporation can pursue an identified public benefit alongside financial objectives, but investors still need to understand how those objectives interact in specific decisions about products, customers, safety, capital spending, acquisitions, dividends, and strategic partnerships.

The eventual public registration statement should provide more precise information about voting arrangements after the offering, board composition, beneficial ownership, any multiple-class share structure, rights held by the Long-Term Benefit Trust, and how those rights interact with the interests of founders, employees, strategic investors, and new public shareholders. Until that information is public, broad conclusions about post-IPO shareholder control would be premature.

The issue also reaches beyond conventional corporate governance because Anthropic supplies systems that governments and businesses may increasingly treat as strategic infrastructure. New Space Economy’s discussion of Anthropic and sovereign AI illustrates the policy questions that emerge when governments depend on models operated by a small number of private providers. A company’s internal governance can therefore influence customers assessing continuity, national-security exposure, model access, acceptable-use restrictions, and dependence on a provider whose strategic objectives may not align perfectly with those of every customer.

For prospective shareholders, the governance model creates both potential benefits and potential tensions. Long-term safeguards might reduce incentives for reckless commercialization and strengthen confidence among customers concerned about AI risk. The same structure could also allow decisions that place public-benefit considerations ahead of maximizing short-term financial returns. The public S-1 should give investors the information needed to understand that tradeoff rather than assuming Anthropic will operate exactly like a conventional software company.

Customer Concentration, Competition, and Platform Dependence

Rapid revenue growth does not eliminate concentration risk. Reuters reported that two customers accounted for nearly one-quarter of Anthropic’s 2025 revenue and that many of the company’s largest customers were not committed through long-term contracts. This creates a different risk profile from the long-duration infrastructure commitments on the cost side of the business. Anthropic may have substantial contractual obligations to compute providers even when significant customer revenue can change more quickly.

Customer concentration matters because the loss, renegotiation, or reduced usage of one large account could affect revenue more sharply than headline growth rates suggest. The issue becomes more significant when enterprise AI customers can select among models from OpenAI, Google, Meta, xAI, open-source developers, and specialized providers. Model routing systems can also make switching easier by allowing applications to use different models for different tasks.

New Space Economy’s examination of the AI ecosystem in 2026 describes a market in which value is distributed among semiconductor companies, cloud platforms, model developers, data providers, software companies, integrators, and end users. A frontier-model developer therefore competes for both customer spending and a portion of the economic value created across that larger chain.

Anthropic also has unusually complex relationships with its infrastructure partners. Amazon and Google have invested billions of dollars in Anthropic and supply major portions of its computing infrastructure. Microsoft has become another important infrastructure counterparty. At the same time, Amazon, Google, and Microsoft operate AI platforms that distribute competing models or participate directly in AI-model development through their own products and partnerships. These relationships can strengthen Anthropic through distribution, capital, and access to scarce compute, but they also create dependencies on companies with strategic interests that are not identical to Anthropic’s.

Competition also affects pricing. Frontier AI models have historically improved rapidly, but competitors frequently release models with lower inference costs, longer context windows, better performance on selected benchmarks, or open weights. If capability differences narrow, customers may become more price sensitive. Anthropic could respond by improving Claude, bundling services, developing specialized enterprise features, expanding distribution, or reducing prices, but each response has implications for margins.

This creates one of the defining tensions in the IPO story. Anthropic needs enough computing capacity to remain near the frontier of model development, yet the company also needs increasingly efficient economics to justify the scale of its commitments. The ability to turn technical leadership into recurring, high-margin customer relationships may ultimately matter more than any single benchmark result.

What Happens Before Anthropic Can Actually Go Public

The confidential submission marks the beginning of an SEC review process, not the end of one. SEC staff can provide comments on disclosure, accounting, risk factors, governance, financial presentation, and other matters. Anthropic can respond through revised drafts before publicly filing its registration statement. The company will eventually need to make its registration materials public if it proceeds with an offering under the SEC’s confidential-review framework.

The public S-1 should answer questions that private-market fundraising announcements cannot. These include the exact securities to be offered, the number of primary and secondary shares, dilution, ownership percentages, voting rights, use of proceeds, audited financial statements, updated interim results, related-party transactions, contractual obligations, stock-based compensation, litigation, material customer dependencies, and risk factors.

Pricing will come later. Anthropic’s June announcement said neither share count nor price had been determined. Reuters and the Wall Street Journal have reported possible November 2026 timing for a public debut, but those reports should be treated as prospective scheduling rather than an official IPO date. Market conditions, SEC review, updated financial statements, investor demand, or company decisions could still alter the timetable.

An eventual prospectus will also provide a better basis for comparing Anthropic with public technology companies. At present, investors are working with a mixture of official fundraising disclosures, reported private financial data, annualized revenue figures, analyst estimates, and confidential prospectus information obtained by news organizations. That is enough to identify the major issues, but not enough to calculate a definitive valuation framework.

Among the most informative figures will be gross margin, operating cash flow, free cash flow, infrastructure payment schedules, customer retention, revenue concentration, stock-based compensation, capitalized costs, lease obligations, and the economics of inference. Updated quarterly figures could also show whether the rapid improvement reported during 2026 is durable or heavily influenced by a small number of large enterprise deployments.

The SEC process itself should not be interpreted as an assessment of Anthropic’s technology or investment merits. Its purpose is to establish a disclosure framework so investors can make their own decisions using standardized information. That distinction becomes particularly important for a company whose technology attracts intense public attention and whose private valuation has grown more rapidly than the financial history available for analysis.

Anthropic’s IPO submission therefore represents a transition from private-market storytelling toward public-market disclosure. The public filing, when available, should make it possible to test the central proposition behind the company’s valuation: whether extraordinary demand for frontier AI can generate enough durable profit and cash flow to support equally extraordinary infrastructure commitments.

Summary

Anthropic’s June 1, 2026 confidential draft S-1 confirms that one of the world’s largest privately held AI companies has formally entered the U.S. IPO process. It does not establish an offering date, share count, or price, and as of September 29 the registration materials had not yet been publicly disclosed. The forthcoming public filing will therefore represent a significant increase in the amount of standardized information available about the company.

The preliminary financial picture combines exceptional growth with exceptional capital intensity. Anthropic generated nearly $4.6 billion of revenue in 2025, reached a reported $65 billion annualized revenue run rate by July 2026, and raised $65 billion at a $965 billion private valuation in May. It also recorded an $8.06 billion operating loss in 2025 and has disclosed through the Reuters-reviewed prospectus infrastructure commitments expected to total at least $518 billion over roughly a decade.

Those numbers make the eventual IPO more than a test of enthusiasm for artificial intelligence. It will test whether public investors accept a business model in which software-scale growth is supported by infrastructure-scale obligations. Gross margins, customer retention, compute utilization, contract flexibility, free cash flow, and pricing power will therefore deserve as much attention as revenue growth.

The filing will also bring Anthropic’s safety mission and unusual governance model into the public-company framework. The company’s public benefit corporation status, Long-Term Benefit Trust, extensive AI-risk disclosures, and relationships with major cloud providers distinguish it from a conventional software issuer. These features may influence how investors assess governance, operational flexibility, regulation, customer confidence, and long-term financial returns.

A reported valuation above $2 trillion may ultimately prove defensible under strong assumptions about continued revenue growth and substantial margin expansion, or it may prove difficult to sustain if competition reduces pricing power or expensive compute capacity is underused. The public S-1 should provide the evidence needed to examine those scenarios with greater precision. Until then, Anthropic’s confidential submission is best understood as the start of public-market price discovery rather than the completion of an IPO.

Appendix: Useful Books Available on Amazon

• Supremacy: AI, ChatGPT, and the Race That Will Change the World
• Co-Intelligence: Living and Working with AI
• AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
• Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI
• The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma

Appendix: Top Questions Answered in This Article

Has Anthropic Filed for an IPO?

Anthropic confidentially submitted a draft Form S-1 to the SEC on June 1, 2026, beginning the formal review process for a proposed IPO. That is different from completing an IPO or publicly filing the final registration statement. As of September 29, Reuters reported that the paperwork had not yet been publicly disclosed.

Is Anthropic Already a Public Company?

No. Anthropic remained privately held as of September 29, 2026, despite having confidentially submitted IPO registration materials. Its shares had not begun public exchange trading, and the company had not announced a final offering price or number of shares to be sold.

What Valuation Is Anthropic Reportedly Seeking?

Reuters and other financial publications have reported that Anthropic could seek a valuation exceeding $2 trillion in an IPO. That figure is not an official IPO price. Anthropic’s most recent publicly announced private financing in May 2026 valued the company at $965 billion post-money, providing a more concrete reference point.

How Much Revenue Does Anthropic Generate?

Reuters reported approximately $4.6 billion of completed 2025 revenue. Anthropic said its annualized revenue run rate had exceeded $47 billion in May 2026, and Reuters later reported that the run rate passed $65 billion by the end of July. Annualized run rate extrapolates recent activity and should not be confused with audited full-year revenue.

Why Was Anthropic’s Reported 2025 Net Loss So Large?

Reuters reported a 2025 net loss of roughly $42 billion, but about $34 billion was attributed to an accounting charge associated with convertible financing instruments. Anthropic’s reported operating loss was substantially smaller, at approximately $8.06 billion. Distinguishing financing-related accounting effects from operating performance is important when evaluating the company’s economics.

What Does the $518 Billion Infrastructure Figure Represent?

Reuters reported that Anthropic expects at least $518 billion in computing and infrastructure commitments over roughly a decade through agreements with six partners. About 80% was described as non-cancelable or payable regardless of actual usage. The figure represents long-term contractual and infrastructure obligations rather than a single immediate cash expenditure.

What Are the Main Financial Risks Facing Anthropic?

Prominent risks include expensive long-term compute commitments, customer concentration, competition, dependence on infrastructure providers, pressure on gross margins, and the need to convert rapid revenue growth into sustainable cash generation. The eventual public S-1 should provide standardized disclosures that allow these risks to be measured more precisely.

Why Are AI Safety Issues Important to the IPO?

Reuters reported that the private prospectus devotes extensive space to model behavior, misuse, control, security, and other AI risks. Safety programs also consume computing and engineering resources, making them financially relevant in addition to their societal importance. Public investors will therefore need to consider how Anthropic’s safety strategy affects costs, product adoption, regulation, reputation, and liability.

How Is Anthropic’s Governance Different From That of a Typical Technology Company?

Anthropic is a public benefit corporation and has established the Long-Term Benefit Trust to provide independent influence over board composition. The structure is intended to preserve consideration of long-term public benefit as the company develops increasingly capable AI. A public S-1 should clarify how these governance rights interact with the voting rights of future shareholders.

What Should Investors Look for When the Public S-1 Appears?

The public filing should provide audited financial statements, updated interim results, gross margins, contractual obligations, ownership information, voting rights, use of proceeds, dilution, customer concentration, stock-based compensation, and detailed risk factors. These disclosures will make it easier to evaluate Anthropic using standardized information rather than relying principally on private financing announcements and reported prospectus figures.

Appendix: Glossary of Key Terms

Confidential Draft Registration Statement

A preliminary securities registration document submitted privately to the SEC for staff review before it becomes publicly accessible. The process allows an issuer to receive and respond to regulatory comments before publicly exposing detailed financial, operational, ownership, and risk information.

Form S-1

The principal registration statement used by many U.S. companies conducting an initial public offering. It typically contains a prospectus describing the company, its financial statements, management, ownership, material risks, planned use of offering proceeds, and the securities being registered.

Initial Public Offering

An initial public offering, commonly abbreviated IPO, is the process through which a privately held company offers shares to public investors and generally establishes trading in those securities on a public stock exchange after completing applicable regulatory and offering requirements.

Annualized Revenue Run Rate

An annualized revenue run rate extrapolates revenue generated during a recent period as though that pace continued for a full year. It can illustrate current growth momentum but is not the same as completed, audited annual revenue and can change rapidly.

Compute

Compute refers to the processing capacity used to train, evaluate, and operate AI models. For frontier AI developers, this typically requires large clusters of specialized accelerators, high-speed networking, data centers, electricity, cooling systems, storage, and associated cloud or infrastructure services.

Operating Loss

Operating loss occurs when operating expenses exceed revenue after accounting for the costs associated with running the business. It focuses on operating performance and can differ substantially from net loss, which may also include financing charges, investment effects, taxes, and other non-operating items.

Gross Margin

Gross margin measures the portion of revenue remaining after deducting costs directly associated with providing a product or service. For an AI-model company, computing costs can have a major effect on this measure because serving customers requires substantial inference and infrastructure resources.

Public Benefit Corporation

A public benefit corporation is a corporate form that permits a company to pursue an identified public benefit alongside financial objectives. Directors generally consider the corporation’s stated public-benefit purpose in addition to conventional shareholder and corporate interests under applicable law.

Long-Term Benefit Trust

Anthropic’s Long-Term Benefit Trust is an independent governance body designed to provide influence over board composition as the company develops increasingly capable AI systems. Its purpose is to help preserve consideration of long-term public benefit within Anthropic’s governance framework.

Prospectus

A prospectus is the portion of a securities registration statement provided to prospective investors. It describes information needed to evaluate the issuer and offering, commonly including the business, financial condition, management, ownership, risks, securities being sold, and intended use of proceeds.

Risk Factors

Risk factors are disclosures describing circumstances that could materially affect a company, its financial performance, operations, securities, or investors. They are intended to explain meaningful uncertainties rather than predict that each identified risk will occur.

Adjusted Operating Income

Adjusted operating income is a nonstandard performance measure that modifies reported operating results by excluding selected costs or accounting items. Because companies can define adjustments differently, readers need the company’s reconciliation and methodology to compare the figure meaningfully with standardized accounting results.