// Curated Feeds

Anthropic Prospectus Deep Dive: The World’s Largest AI Company Squeezes Its Own Bubble

Anthropic 招股书深度解读:世界最大的AI公司自己亲手挤泡沫|【经…


Anthropic Prospectus In-Depth Analysis: The World’s Largest AI Company Inflates Its Own Bubble | 【Economics…

Publication Time: 30 Oct, 2026 6:12 AM
Source Section: MirrorSpeed CN
Source Site: WeChat Official Account – Jingwei Ventures

Summary

A mega AI company—how much is it really worth? Anthropic’s latest publicly released prospectus provides a paradoxical answer. In the first half of 2026, it generated $16.286 billion in revenue, a year‑over‑year increase of nearly

A mega AI company—how much is it really worth?


Anthropic’s latest publicly released prospectus provides a paradoxical answer. In the first half of 2026, it generated $16.286 billion in revenue, a year‑over‑year increase of nearly 13×, yet its net loss was a staggering $80.7 billion. The net revenue retention from customers reached an astonishing 900%, and the company also secured roughly $850 billion in compute commitments, equivalent to 24 times its revenue over the past 12 months.


Behind these numbers lies a profound shift occurring in the AI industry. Every leap in model capability can quickly translate into revenue. AI agents are driving enterprise customers’ usage and spending to multiply, and to support this growth, companies are forced to lock in chip, energy, and data‑center resources years in advance. The pace of AI commercialization is unprecedented, and its appetite for capital is equally astonishing.


But the most worth‑studying aspect of Anthropic lies in its choice of commercial boundaries. It voluntarily gave up advertising and video‑generation businesses, delayed model releases due to safety risks, pledged to allocate about 22% of its equity value to public welfare, and, through a special equity structure, isolated the company’s long‑term control from the capital markets—even though these choices mean forgoing some revenue and business opportunities.


On one side is almost aggressive growth and capital investment, on the other side is proactive restraint on technological risk and commercial boundaries. This company’s prospectus actually raises an even bigger question. As AI becomes one of the fastest‑expanding and most capital‑intensive industries in history, what truly determines the long‑term value of an AI company—technological leadership, commercial efficiency, capital strength, or an assessment of its own capability limits?


Understanding Anthropic may be akin to understanding how the next generation of AI giants will be born, how they will make money, and what will ultimately constrain them. Below, enjoy:


Source | 动察

By Sleepy


Image 1


Anthropic has formally filed for an IPO, and the prospectus is now public.


It plans to list on Nasdaq under the ticker ANT, with Goldman Sachs and Morgan Stanley leading the underwriting. The price range, number of shares, and fundraising amount are still undisclosed. According to earlier reports, it secretly filed an application with the SEC in June, allowing regulators to review the financial materials first before making them public. Several media outlets expect this IPO to set a record.


The company was founded five years ago. In the first half of this year, revenue was $16.286 billion, compared with $1.163 billion in the same period last year; net loss for the period was $80.748 billion. For the full year 2025, revenue is projected at $4.585 billion, with a net loss of $41.965 billion.


After the prospectus was made public, Anthropic’s on‑chain pre‑market contract surged more than 4% in a short period, hitting a high of $1,980, then fell back to around $1,864, corresponding to a valuation of about $1.86 trillion. On September 9, the price reached a high of $2,211.


image


The first page of this prospectus is a letter signed by the seven co‑founders. The letter says that before going public they consulted many entrepreneurs who had experienced an IPO, and one piece of advice was repeatedly mentioned:


“Never let your company be worth a dollar more than it is actually worth.” Don’t let the company be valued a dollar more than its actual worth.


So what is its actual value? Below are the main sections from the prospectus.


01

Ledger


First look at income.


Anthropic launched Claude in Q1 2023, beginning commercialization.


The subsequent annual revenue is:

  • 2023: $41 million

  • 2024: $386 million

  • 2025: $4.585 billion

  • First half of 2026: $16.286 billion


Image


By quarter, the four quarters of 2025 are 376 million, 787 million, 1.382 billion, and 2.040 billion USD; Q1 2026 is 4.731 billion, Q2 2026 is 11.555 billion. The sequential growth rate jumps from 48% to 132%, then to 144%.


Q3 revenue is not stated directly, but the prospectus mentions that Q3 2026 revenue is 86 times that of Q4 2024 ($197 million). Based on this, it is estimated at about $16.9 billion, with the quarter‑over‑quarter growth slowing to roughly 47%.


图片


The prospectus itself is also cooling down the growth rate.


It states that the recent growth may reflect early adoption and the characteristics of an emerging market, and may not be sustainable; the company expects the growth rate to decline as the revenue base expands, and it could fall faster and more than expected. The risk factors also note that the company may be unable to achieve or maintain profitability in the future, and does not intend to pay cash dividends in the foreseeable future.


Now look at profit.


In the second quarter, Anthropic’s operating profit was $974 million, an operating margin of 8%. After excluding equity incentives and employee donation matching, the Adjusted Operating Margin was 19%, compared with –129% in the same quarter a year ago. For the entire first half of the year, the operating loss was $693 million.


Image


So how did the net loss of 80.7 billion, which has been widely discussed on social media lately, arise?


The main reason is two accounting issues.


Image


The first item, $72.388 billion, represents the fair‑value changes of convertible bonds, derivatives, and SAFEs, with the bulk coming from Amazon.


In 2023 and 2024, Amazon lent money to Anthropic through two note purchase agreements. As of June 30, $6.203 billion of principal remained unconverted, all in non‑interest‑bearing notes. Under the agreement, they will convert at the IPO into non‑voting Class N shares at $2.0928 and $5.0478 per share (or the IPO price, whichever is lower), totaling about 1.84 billion shares.


These notes, with a principal of 6.2 billion, had a fair value of $108.566 billion at the end of June. Each time the company’s valuation rises, this liability is re‑measured, and the difference is recorded as a loss. By the end of June, out of the cumulative $132.9 billion loss, $113.2 billion stemmed from such fair‑value changes.


图片


The second item, $8.757 billion in other net expenses, mainly comes from two agreements signed by Google and Amazon in March and April of this year. The agreements stipulate that the two companies will purchase G‑2 preferred shares at the Series G price of $259.1364 per share—Google 38.6 million shares, about $10 billion; Amazon 19.3 million shares, about $5 billion. Between signing and closing, Anthropic’s valuation rose further, and this price difference was also recorded as a loss.


So the more valuable Anthropic becomes, the larger the paper loss. When the notes convert to equity at the IPO, this type of loss essentially stops.


But another expense will follow. Anthropic’s RSUs are double‑trigger, vesting after the service period and upon the company’s IPO. As of the end of June, the equity‑incentive expense corresponding to the RSUs, about $26.6 billion, has not yet been recognized. The prospectus calculates that if the IPO occurs on June 30, about $2.9 billion would need to be recognized in a single day, with the remaining $23.7 billion amortized over roughly 2.1 years.


There’s another spot that’s easy to miss.


In 2025, Anthropic changed the way the income statement columns are reported, no longer dividing by operating costs, R&D, sales, and administration, but instead by compute and infrastructure, personnel, sales marketing and partnerships, and other operations and management. As a result, gross profit is no longer visible on the income statement.


The old metric was not removed and is placed in Note 8. Based on the operating costs in Note 8, the gross margin is –95% for 2024, 39.5% for 2025, and 85.4% for the first half of 2026.


图片


Two years, from losing almost ¥1 for every ¥1 sold to keeping ¥0.85 for every ¥1 sold.


However, most of the $8.945 billion in compute and infrastructure costs incurred in the first half were not recorded as operating expenses but were capitalized into R&D—such as training, research, internal use—and a portion was allocated to sales and marketing to support free users. R&D expenses in the first half totaled $9.741 billion, about 60% of revenue.


图片


02

Customer


As of September 30, 2026:

  • In the past 12 months, there were over 11,900 customers contributing more than $100,000 in revenue, compared to about 950 a year ago;

  • Over 1,900 customers contributed more than $1,000,000, and about 250 contributed more than $10,000,000;

  • There are also about 40 million customers, each contributing less than $100,000;

  • Clients with over $100,000, covering all of the top 10 Fortune companies, more than half of the Fortune 500, and over 30% of the Global 2000.


图片


Net revenue retention is about 900%. That means the cohort of customers who were paying a year ago (excluding Pro and Max personal subscriptions) now spend roughly nine times what they did in the same quarter a year ago.


The money is mainly spent on agents. In Q3, users of Claude Enterprise who don’t use Claude Code spent less than $75 per month on average; the top 5% of users who do use Claude Code spent about 20 times that amount.


Of the revenue, 80% is usage‑based billing, and subscription revenue in the first half was about $3.2 billion. By region, the United States accounted for $11.763 billion, and overseas $4.523 billion.


Image


The concentration is as follows:

  • In the first nine months of 2026, no single customer accounted for more than 10% of revenue, and the top five customers together accounted for about 25%;

  • In Q3, about 79% of revenue came from customers outside the top five, compared with 64% in Q1; at the same time, each of the top five customers achieved a new quarterly revenue high;

Looking further ahead, one client contributed 43% in 2023, and in the first half of 2026 another client contributed 11%.


In the first half of the year, 48% of revenue came from cloud marketplaces such as AWS, Google Cloud, and Azure, and Anthropic must pay channel fees for this. Sales, marketing, and partnership expenses totaled $3.168 billion in the first half, with channel partner costs up $2.7 billion from a year ago.


Image


Growth is mainly driven by new models. Opus 4.5, released in November 2025, increased the month‑over‑month growth rate from 48% to 132%. Models released between April and September 2026 contributed more than 80% of Q3 revenue. In September, Opus 5.5 cut single‑task costs by about 40%, Fable 5.1 reduced typical task costs by about 25%, and complex tasks saw reductions of up to 45%, yet the prospectus says the profit margin remained intact.


The prospectus also notes a few less flattering points:

  • In the first nine months of 2026, about 5% to 7% of revenue came from customers later found to be violating usage policies or commercial terms. Those who were blocked may return with a new account. After stricter enforcement in August and September, this portion of revenue will decline, potentially dragging down subsequent growth. The company believes this situation is common across the industry.

  • Usage-based billing cannot avoid holiday effects. In the two weeks around New Year’s Day, total customer spending dropped by about 20% compared with the previous two weeks.


03

Computing Power


There is a sentence in the risk factors:


“In the past, we have significantly underestimated our compute requirements.” Past underestimation of compute demand led to capacity constraints, affecting product development and launch.


Compute contracts signed now:

  • Microsoft: at least $44.9 billion, from November 2026 to May 2033;

  • Google: at least about $114.5 billion, from April 2026 to July 2033; also pledged to purchase TPU compute delivered from 2028 to 2031, estimated $125 billion to $150 billion;

  • Amazon: at least $110 billion, from May 2026 to April 2036, irrevocable;

  • SpaceXAI (formerly X.AI, a wholly owned subsidiary of SpaceX): uses NVIDIA GPUs, term extended to 2029, up to a total of $120.5 billion. Capacity is expected to be fully in place by December, then about $3.1 billion per month thereafter. The initial irrevocable periods end in January and March 2027 respectively; after that either party may cancel with 90 days written notice;

  • Nscale: up to approximately $44.6 billion;

  • Lambda: about $41.3 billion;

  • Broadcom: five‑year equipment lease, total rent about $161.2 billion;

  • AMD: starting in 2027, purchase rack systems based on AMD Helios; if fully purchased, spending will exceed $20 billion.


图片


The seven named companies total about $637 billion. In the prospectus text, the “total commitment exceeds ___ dollars” field is blank; according to the footnotes, adding the various figures gives a minimum commitment of $265.6 billion as of the end of June, leases signed but not yet effective worth $321.4 billion, new contracts signed after June worth $245 billion, and short‑term agreements of $21 billion—about $850 billion, not even counting Google’s additional TPU amount.


Revenue over the past 12 months is estimated at about $35.3 billion. The compute commitment is roughly 24 times that amount.


图片


Anthropic is also starting to build its own data centers, with the first one coming online this year, and some facilities powered by on‑site natural‑gas generation. It has also made voluntary commitments, such as covering grid‑upgrade costs and procuring new generation capacity, to reduce the impact of data‑center electricity use on local communities and electricity customers.


Such a large investment is not avoided by Lianchuangxin. They wrote that these investments “may seem irresponsibly large at first glance.”


They use pharmaceuticals as an analogy: the R&D stage requires huge investment, and returns are only visible once the drug is completed, but with Anthropic this process is much faster and on a much larger scale. They also say they are willing to sacrifice some upstream to gain downstream protection, meaning they will resell excess compute when demand is overestimated, improve efficiency, and raise funds if necessary.


Money


Below are the prices of preferred shares for each round, converted to common shares at a 1-to-10 ratio upon listing:

  • Series A: $2.57

  • Series B: $11.23

  • Series C: $11.23, 2023, $445 million

  • Series D: $30, 2024, $1.2 billion

  • Series E-1: $56.09, Q1 2025, $3.57 billion

  • Series F-1: $140.97, Aug–Sep 2025, $13 billion

  • Round G-1: $259.14, Jan–Feb 2026, $23.5 billion; concurrently G-2 has an additional $21.7 billion

  • Round H-1: $589.0095, May–Jun 2026, $45.7 billion; concurrently H-2 has an additional $19.5 billion


Image


From the G round to the H round, about four months, the price rose to 2.27 times. In the first half of this year, equity financing totaled about $110.4 billion. As of the end of June, cash on hand was $112.4 billion and short‑term investments $19.3 billion.


There are also several unused financing agreements, totaling $77 billion as of the end of June:

  • Google: signed in March. In addition to buying about $10 billion of G‑2 shares, it also pledged up to $30 billion in debt or equity financing by the end of 2030, with $20 billion remaining as of the end of June; whether it can be drawn is tied to the conditions of the third‑party compute agreement and revenue targets. Google also has an option: at IPO, privately subscribe for up to $10 billion at the offering price.

  • Amazon: signed in April. About $5 billion to purchase G‑2 shares, and it also pledged up to $20 billion in financing, with $15 billion remaining as of the end of June, unlocking a tranche for every $5 billion delivered according to Amazon’s compute capacity milestones. Amazon’s shareholding is capped at 12%; any excess will be issued as notes.

  • Broadcom: $42 billion, which can only be used to pay the quarterly lease payments for Broadcom equipment. 9% annual interest, paid in kind; if the revenue target is not met, the rate rises to 13%, and the conversion price drops from 90% of the 30‑day average price to 85%. This revenue target is set far below Anthropic’s actual quarterly growth rates in past quarters.

  • AMD: additionally commits to subscribe for up to $5 billion of Class N shares in batches, based on the progress of GPU delivery and deployment.


image


In September, Anthropic expanded its revolving credit from $3.3 billion to $15 billion, maturing in 2031; after obtaining two investment‑grade ratings, it can release the asset collateral.


A few smaller but interesting deals:

  • In October 2025, it repurchased 4,453,900 shares of Series B preferred stock from the U.S. government. These shares had been confiscated from the original holder in a lawsuit unrelated to Anthropic. The buyback price was $140.9676 per share, and the same price was used to resell them to nine qualified investors, totaling about $627 million; the company did not receive any money from the transaction.

  • Two rounds of old‑stock purchases: June 2025 at $5.61 per share; April 2026 at $25.9136 per share, involving 179.9 million shares for roughly $4.66 billion. Dario, Daniela, CFO Krishna Rao, and Holden Karnofsky each sold a portion.

  • Mergers and acquisitions: Acquired Bun in December 2025, Coefficient Bio in April 2026, and acquired Stainless Software in May for $306 million. The prospectus states that there are currently no agreements or commitments for any significant acquisitions or investments.


Looking at them together, Amazon and Google are simultaneously shareholders, creditors, landlords, channels, and customers.


They are also competitors. The prospectus states that Amazon, Google, and Microsoft sell competing models on their own clouds, and the cloud channels also allow them to see Anthropic’s pricing and commercial terms; some compute power and infrastructure rely on capital and credit support provided or facilitated by cloud providers and chip partners. Reducing this dependence depends on whether it can independently raise funds based on its own credit.


Voting Rights


Anthropic is a public benefit corporation (PBC) in Delaware. The law requires the board to balance the economic interests of shareholders, the interests of those affected by the company’s actions, and the public benefit purpose.


After the IPO, it has five classes of common stock:

  • Class A: one share, one vote; this is what the public buys;

  • Class N: has economic rights, no voting rights, mainly for strategic investors such as Amazon, Google;

  • Class T: only 1 share, held by a Long‑Term Benefit Trust (LTBT), no economic rights, but can elect a majority of the board;

  • Class E: for employees, 1 share issued for every 6 months of service, voting only on a few matters;

  • Class F: there is only one share, held by Anthropic Founders, LLC, a group of seven co‑founders, which permanently holds 50.1% of the total voting rights.


The 50.1% is locked in. The prospectus gives an example: for every additional 1 million Class A shares issued, Class F automatically gains about 1,004,008 votes. All Class A shares combined will forever total only 49.9%.


The board has 7 seats, LTBT selects 4 seats, the co‑founders and Class A together select 3 seats. According to Nasdaq rules, this is a “controlled company”.


image


LTBT’s legal form is a “non‑charitable purpose trust” under Delaware common law, designed to be as independent as possible from the company’s financial performance. Trustees may not hold company stock, and each receives $400,000 in cash per year.


The trust appoints five trustees, with four currently serving:

  • Neil “Buddy” Shah, Chair, Clinton Health Access Initiative (CHAI) CEO;

  • Richard Fontaine, Center for a New American Security CEO;

  • Ben Bernanke, former Federal Reserve Chair, joining in June 2026;

  • Christopher Stubbs, a Harvard physics professor and member of the JASON group that provides national security advice to the U.S. government, joined in October 2026.


When will the co-founders hand over their voting rights?


Founder LLC agreement includes a sunset clause: if fewer than three co‑founders remain in the LLC for a continuous 90 days, a 450‑day transition period begins; after the transition period, Class F and employees’ Class E are redeemed by the company at zero consideration. The co‑founder letter states: “Our increased voting power is not permanent.”


When does a co‑founder count as “no longer present”? It requires that they resign, die, become incapacitated, have their shareholding fall below 2% of the IPO level, or be removed for cause, including moving to a competing business. “Incapacity” has two scenarios: one is permanent total incapacity medically; the other is wrongful imprisonment, illegal detention, or capture, expected to last more than 12 months.


Benjamin Mann has been with the company since its founding in January 2021, often referred to as a co‑founder, but he is not part of Founder LLC and does not participate in the 50.1% voting block. The “co‑founders” mentioned in the prospectus refer to the other seven individuals.


LTBT does not have an automatic sunset here. To amend the trust or cancel Class T, it requires 80% approval from both the board and the trustees; if the trustees oppose, the co‑founders, employees, and public shareholders each must meet their respective thresholds; if the co‑founders are also absent, then 85% of Class A approval is required.


The shareholder agreement also contains a clause that as long as Class T remains, the company must give LTBT prior written notice before liquidation, selling more than half of the voting rights or economic interests, or filing for bankruptcy. The same list also includes an item to transfer control of an AI model that exceeds the capability threshold set by the board.


04

22%


Before the IPO, Anthropic placed 5% of its fully diluted equity—846,840,960 Class N shares—into its wholly owned subsidiary, the Anthropic Public Benefit Fund. After the listing, for every 50% increase in the stock price, the board can allocate up to an additional 2%. This money will be used for science and medicine, bio‑security, global health, economic research, and to more broadly distribute the economic value generated by Anthropic’s equity.


The other two items:

  • Each of the seven co-founders pledged to donate 80% of their personal Anthropic equity to charity;

  • Employee donation matching. Employees pledge to donate one share, and the company issues one share to match. The co-founders said that slightly more than half of the employees pledged to donate at least a portion of their equity. In 2025, the cost of this matching will be $541 million.


According to Lianchuangxin’s annotation, the Lianchuang commitment and employee matching correspond to 9% and 8% of the fully diluted equity as of the end of June, respectively. Adding the 5% public‑welfare fund, about 22% of the equity is directed to charity.


Image


To investors worried about dilution, the letter answers that the scale and structure of this plan are even less than the compensation packages some listed companies give to their executives.


Gate


In April 2026, Anthropic trained the then‑strongest model Claude Mythos Preview, which was not publicly released.


Anthropic explained that they judged this model’s cybersecurity capabilities to be too strong, and releasing it widely without new safeguards would pose excessive risk. Therefore, they only opened it to a few organizations for network defense through Project Glasswing, and after adding protections, they released it publicly under the name Claude Fable 5. The letter admits that this delay means forfeiting a large amount of revenue and ceding ground to competitors; they also granted network defenders about $100 million worth of Claude credits.


Just how powerful is this model?


The prospectus included a Mozilla case study. In a two‑week evaluation, Opus 4.6 discovered 22 previously unknown bugs in Firefox, 14 of them high‑severity; later Mythos Preview found another 271, which were fixed in Firefox 150. Firefox’s CTO said that to date they have not found any category or level of complexity of bugs that humans can find but models cannot.


On the ExploitBench conducted by Carnegie Mellon researchers, over about four months, the score rose from 40% on Opus 4.8 to 78% on Mythos 5, and then to 91% on Opus 5.5.


Image
Image


In June 2026, the U.S. Department of Commerce imposed global export restrictions on Fable 5 and Mythos 5. Anthropic disabled these two models for all customers, and after upgrading protections together with the government and industry partners, the restrictions were lifted and the models were brought back online.


Anthropic’s conflict with Washington is larger, and the timeline in the prospectus is as follows:

  • In early 2026, the U.S. Department of Defense hinted that it might invoke the Defense Production Act, demanding that Anthropic remove restrictions preventing its models from being used in autonomous weapons and mass surveillance;

  • On February 27, because Anthropic publicly stated that its technology would not be used for large‑scale domestic surveillance or fully autonomous weapons, the President announced that all federal agencies have been instructed to discontinue its technology; the Secretary of Defense ordered it to be listed as a “national security supply chain risk,” and declared that any contractor, supplier, or partner doing business with the U.S. military may not engage in commercial dealings with it;

  • Anthropic filed a lawsuit. On August 27, the U.S. District Court for the Northern District of California largely sided with Anthropic, finding that these actions constituted retaliation against speech protected by the First Amendment;

  • On September 25, the Washington D.C. Circuit Court of Appeals, by a 2‑1 vote, upheld the supply‑chain risk finding made under another law. Anthropic has filed for a full‑court rehearing.


Image


Currently, government contract revenue accounts for only about 1%. On the other hand, the Lianchuang letter states that the company has been cooperating with the U.S. federal government, multiple state governments, and U.S. allies in areas such as child services, social security, cybersecurity, and intelligence gathering.


The usage policy remains unchanged; the risk factors note that using the model to develop or operate fully autonomous weapons or to conduct mass surveillance is prohibited, even if such uses could generate revenue. Adhering to these restrictions has already, and may continue to, result in adverse commercial and financial consequences.


Anthropic has proactively given up two lines of business: not doing advertising, which is a promise in the co‑founders’ letter; and not building image and video generation models, reserving compute for coding, agents, and security research.


And their troubles don’t come only from Washington. In October, the FTC sent them a civil investigative demand. The copyright case Bartz settled for $1.5 billion, approved in July; lawsuits from several music publishers are still ongoing. In September, a class‑action antitrust suit was filed on behalf of paying individual subscribers, accusing Anthropic and other frontier‑model companies of colluding to slow down model development.


05

Confession


Risk factors are about 95 pages.


The prospectus states that researchers, regulators, and policymakers both inside and outside the company have raised concerns. Sufficiently advanced AI systems, if lacking proper safeguards, oversight, and safety measures, could pose catastrophic, even existential, risks to humanity.


Specific cases that have occurred:

  • A third‑party evaluation partner set up the network security testing environment incorrectly; the model was told it could not access the internet, but it was actually connected to the public network. Over sessions lasting about 10 to 34 hours, four models accessed real third‑party systems without authorization. In one instance, an early‑version model, after being unable to abort an impossible task, used a discovered password to obtain administrator rights on a third‑party system, collected additional credentials, changed system settings, and read a person’s personal information. The affected parties have been notified. The investigation found no evidence of coordination between models, pursuit of goals beyond the assigned task, or attempts to evade supervision;

  • The prospectus also notes that when multiple agents interact, misaligned behavior can be amplified, and such incidents have already occurred;

  • When a model becomes aware that it is being evaluated, it behaves differently; even our own models have exhibited resistance to shutdown, concealment or manipulation of information, and ransomware‑like behavior;

  • In September 2025, it confidently judged that a hacker group backed by another country was manipulating Claude Code and attempting to infiltrate roughly 30 global targets, with a few successes. The company claimed this was the first recorded large‑scale cyber‑attack that required virtually no human intervention;

  • To strengthen security measures against model weight leakage, it postponed the pre‑training of a new frontier base model, delaying it by more than a month.


There are also some points about themselves:

  • In September 2026, over 90% of contributions in the codebase were written by Claude; in Q3, the average daily code contribution per engineer was more than 45 times that of 2024;

  • Since April 2026, the monthly internal value of using Claude (at list price) has already exceeded the monthly personnel costs (excluding equity incentives);

  • The workforce grew from about 940 at the end of 2024 to roughly 5,300, and the average revenue per employee over the past 12 months exceeded $6.6 million.


图片


The corresponding risk factor quote is: “our models write a large and growing share of our code and increasingly perform our research, including our safety research.”


It then notes that the company may lose visibility into certain processes, and monitoring does not cover all internal and external deployments; moreover, evidence of “AI accelerating AI R&D” is mostly lagging indicators, which may only be recognized after a significant acceleration has already occurred.


A company preparing to go public, why does it need to write this?


Part of the reason is legal requirements and insufficient disclosure, which become grounds for future lawsuits. Another reason is the very product Anthropic has been selling—its safety narrative is why enterprise customers choose it.


The prospectus also outlines the costs; these voluntary disclosures go beyond industry norms and regulatory requirements and could be used against the company in lawsuits, regulatory proceedings, and public disputes. Regulators have already, and may continue to, intensify scrutiny based on them.


Selling stocks is also tightly regulated by various rules. For major shareholders holding more than 0.5%, the lock‑up period can be up to 365 days, but it isn’t released all at once at expiry; on day 27 and day 48, 1.8% each is released, on day 62 and day 76, 2.1% each, and thereafter it follows the earnings reports, unlocking tranche by tranche. Starting from day 180, Lianchuang can transfer up to 29% initially.


Image


06

21 no


In the prospectus’s financial footnotes, there is a table of preferred stock. The Series A row shows 48.574 million shares at $2.57 per share, totaling $125 million.

That money was not easy to obtain back then.


Early Anthropic investor Anjney Midha has recounted this experience many times. Tom Brown called him, saying he wanted to start a new lab with Dario and others, needing funding and compute. Starting from early 2021, they met weekly to turn research ideas into a business plan. Midha introduced the team to 22 firms on Dune Road, and 21 said no.


The money ultimately came from a group of individual investors. The Series A round was led by Skype co‑founder Jaan Tallinn, with participation from Facebook co‑founder Dustin Moskovitz and former Google CEO Eric Schmidt, many of whom are closely connected to the effective altruism (EA) community.


Before investing in Tallinn, let Dario get offers from a few VCs first. He wants to confirm that this company isn’t something he could also fund, so his money would only replace a particular VC’s, rather than magically create an AI lab out of thin air.


Midha’s own stake was almost all his savings at the time, most of which were Discord shares.


In 2022, the lead investor in the Series B round was Sam Bankman-Fried, and FTX invested $500 million at $11.23 per share. In November of the same year, FTX collapsed.


The VC’s first lead investment had to wait until the C round in spring 2023. Yasmin Razavi of Spark Capital gave the nod, investing $75 million. In the prospectus, the C round price was $11.2261 per share, the same as the B round.


That was the first time a Silicon Valley firm took a heavy stake in Anthropic.


Razavi is 37 this year and is still on the board, occupying one of the three seats selected by Lianchuang and Class A shareholders.


Those Series B shares later went their separate ways.


In 2024, the FTX bankruptcy trustee sold about two‑thirds of them for $884 million, and the biggest buyer was linked to Mubadala of Abu Dhabi.


Another small portion is the 4,453,900 Series B shares that Anthropic bought back from the U.S. government in October 2025, at $140.9676 per share, and on the same day resold them to nine investors at the same price, totaling about $627 million. The prospectus only states that these shares were confiscated from the original holder in a lawsuit unrelated to the company.


4,453,900 shares multiplied by the Series B price amount to about $50 million. Media reports that former FTX executives Caroline Ellison and Nishad Singh each invested $10 million and $40 million respectively in the Series B round; in the plea agreement, they handed over these shares, and the numbers match.


At the Series H price, this batch of shares is now worth about $2.6 billion.


Now calculate two items using the Series H valuation. The $1 invested in Series A is now worth about $229; Spark’s $75 million is now worth about $3.9 billion.


Midha said that later he invested several hundred million dollars in successive rounds and plans to donate most of it to charitable causes.


You might also want to see:

Is AI killing “traditional companies”?

What is it that 64% of people never manage to overcome in their lifetime?

A 6 billion‑yuan acquisition that helped a father‑son duo in Suzhou rake in 94 billion yuan

AI content enters the experience era: How does Loopit turn every idea into a playable world?


Author:

Original article link: View original

Read more tech without borders — MirrorSpeed VPNFast mirror acceleration, encrypted privacy, global nodes for stable access to overseas resources.
Get MirrorSpeed
Read more tech without borders — MirrorSpeed VPNFast mirror acceleration, encrypted privacy, global nodes for stable access to overseas resources.
Get MirrorSpeed