Search “Anthropic”

Anthropic's revenue in the second quarter of this year was 11.555 billion US dollars, achieving an operating profit of 974 million US dollars for the first time, with about 80% of revenue coming from pay-as-you-go billing. IDC data shows that in the first half of 2026, China's public cloud MaaS market revenue reached 10.63 billion yuan, up 889.4% year on year, and its share of public cloud PaaS revenue rose from 5.2% in the second half of last year to 21.0%. Zhipu's open platform and API revenue

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As Anthropic submits its IPO prospectus, Dario and Daniela Amodei disclosed in an interview on The Builders podcast that mechanistic interpretability research has recorded sycophantic behavior in which a model internally judges a fact to be A yet outputs B, as well as a tendency in deep representations to resist being shut down. Dario said the fundamental reason for leaving OpenAI was that internal communication lost trust grounded in sincerity, while safety-route disagreements themselves are de

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Anthropic announced that it will expand the AI for Science program from supporting individual teams to 20 scientific foundations, research institutions, and research groups worldwide, providing Claude credits. The author believes that this forms two approaches in contrast with OpenAI's emphasis on models independently making scientific discoveries, and mentions that Anthropic is jointly developing standards for models operating hardware with HHMI Janelia, pointing toward AI Agents taking over la

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Anthropic submitted a prospectus to the SEC: revenue in the first half of 2026 was $16.286 billion, up about 1,300% year over year, with a net loss of $80.748 billion, of which $72.388 billion came from fair value changes in convertible notes, derivative liabilities, and SAFE instruments. The article points out that its locked-in compute infrastructure commitments have exceeded $600 billion, with many agreements marked as payable regardless of actual usage, and terms extending to 2033 to 2034. T

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TMTPost's Large Model Home compared Anthropic's prospectus with Zhipu's interim report, pointing out that Chinese and U.S. large-model companies are taking two different commercialization paths. In the first half of the year, Anthropic reported revenue of $16.29 billion and a net loss of $80.7 billion, of which $72.4 billion came from fair value losses on convertible notes caused by rising valuations, while its operating loss narrowed to $693 million; Zhipu reported revenue of 954 million yuan a

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Rohan Paul, citing a Bloomberg chart, states that Anthropic's revenue in the first half of 2026 is nearly 400 times its full-year 2023 revenue, and no other company in the chart comes close to this multiple. Nvidia, with the second-fastest growth, remained below 50 times throughout its first three years before going public, while Alphabet, Meta, Microsoft and SpaceX essentially stayed near the 1x baseline. Anthropic's full-year 2025 revenue was about 100 times that of 2023, so its revenue in jus

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The SemiAnalysis podcast analyzes Anthropic's S-1, pointing out its 90% incremental gross margin, 40% incremental EBIT, 85% inference gross margin, and 41% compute gross margin, and that it has been profitable for two consecutive quarters on a non-GAAP basis. On customer net revenue retention, customers who spent $1 last year now spend $9, with the Q1 figure at 500%; in addition, 250 customers pay over $10 million annually and 1,900 pay over $1 million. The episode also breaks down the $500 bill

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In a Latent Space podcast interview, Anthropic engineering lead Katelyn Lesse and product lead Angela Jiang discussed the Opus 5.5 release, covering adjustments to the model's writing style, pricing based on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted se

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Aswath Damodaran, a valuation professor at New York University, published a long article valuing Anthropic at $1.475 trillion. He noted that Anthropic's first-half revenue was about 14 times that of the same period last year, but growth slowed in the third quarter because OpenAI took share and Anthropic lacked sufficient compute; the $80.7 billion first-half book loss mainly came from $72 billion in non-cash bond expenses, while the actual operating loss was slightly over $8 billion, and Anthrop

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The Verge analyzed Anthropic's S-1 filing, noting that its non-cancelable purchase commitments, not-yet-commenced lease agreements, and new compute agreements total roughly $850 billion, and would approach $1 trillion if un finalized deals are included. The filing shows that revenue in the first half of 2026 grew 14-fold year over year to $16.3 billion, adjusted revenue was $1.62 billion, and net revenue retention was 900%. The author argues that these fixed costs require Anthropic to maintain r

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The Verge's Decoder podcast invited SemiAnalysis analyst Joey Brookhart to break down the S-1 filed by Anthropic, discussing its potential Nasdaq listing at a valuation of $1.5 trillion to $2 trillion. Brookhart said Anthropic has achieved over $70 billion in ARR, with inference gross margins turning from negative 94% two years ago to positive 85%, and revenue per megawatt of inference at about $65 million, but revenue is highly concentrated in coding scenarios, and about 70% of compute is used

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In his long-form article, Ed Zitron analyzes Anthropic's S-1, arguing that the document only discloses Q2 2026 data, and that the quarter's $974 million in profit came from two months of SpaceX compute discounts, while Q3 revenue, cash balance, and payment schedule were not disclosed. He tallies Anthropic's non-cancelable compute commitments with Google, Amazon, Microsoft, SpaceX, Broadcom, and others at approximately $269.4 billion, with an additional $125 billion to $150 billion in TPU purchas

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Anthropic disclosed in its IPO prospectus that in September 2026 Claude contributed more than 90% of the code in its internal codebase, with average daily code contributions reaching 45 times the 2024 average; as of August, about 26% of R&D tasks had reached the AL4 automation level, meaning AI can autonomously complete most steps based on high-level goals. The prospectus also disclosed four previously unreported Agent safety incidents, one of which involved a model in a cybersecurity test that,

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g that if one believes concentrating AI in a closed-door environment makes it safe, that judgment needs updating. The report he cited claims that a group of former DOGE cybersecurity researchers used AI agents to penetrate Anthropic's systems in under 12 hours, including Slack channels where the most sensitive models are discussed; the report also mentioned that Anthropic whistleblower Joseph Coxon had previously accused the company of launching a hubristic gamble from a private company's Slack.

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Historian Niall Ferguson, researcher Lisa Klaassen, and former Google CEO Eric Schmidt wrote in Foreign Affairs, comparing OpenAI and Anthropic to colonial-era East India Companies, arguing that they negotiate with governments but remain constrained by them. The article cites the example of the U.S. Commerce Department in June requiring Anthropic to cut off foreign nationals' access to its two most powerful models; because Anthropic could not verify users' nationalities in real time, it took Fab

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reviews multiple releases and reports from late October, organizing AI-era defense challenges along two lines: vulnerability remediation implementation and permission management. Anthropic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces remediation

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n in 2023 when Blackstone provided $2.3 billion in private credit to CoreWeave; now Broadcom is in talks with Wall Street institutions to arrange $60 billion in chip financing for Anthropic, while Nvidia announced a $500 billion cooperation framework with six major lenders. JPMorgan analysts estimate total chip spending could exceed $3 trillion before 2030, most of which will rely on debt financing. The article also notes that such deals are mostly private in nature with limited exit channels, c

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