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Anthropic reports net loss of over $80 billion in first half of 2026

The loss, up from $13 billion a year earlier, was driven by $72 billion in accounting charges tied to changes in the ‌value of financial

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The loss, up from $13 billion a year earlier, was driven by $72 billion in accounting charges tied to changes in the ‌value of financial instruments Anthropic issued to raise ​money Anthropic reported a net loss of more than $80 billion in the first ​half of the year and signaled it could spend as much as $750 billion in the coming years to secure more computing capacity, the Wall Street Journal reported on Tuesday.

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Anthropic reports net loss of over $80 billion in first half of 2026

AI startup Anthropic reported a net loss of more than $80 billion in the first half of 2026, the Wall Street Journal reported on Tuesday, citing a draft initial public offering prospectus. The loss, up from $13 billion a year earlier, was driven by $72 billion in accounting charges tied to changes in the value of financial instruments Anthropic issued to raise money. The company also signalled it could spend as much as $750 billion in the coming years to secure more computing capacity. The figures highlight the enormous capital requirements of frontier AI development.

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Anthropic posted over $80 billion net loss in first half of 2026, WSJ reports

AI startup Anthropic recorded a net loss of more than $80 billion in the first half of 2026, the Wall Street Journal reported on Tuesday, citing a draft initial public offering prospectus. The report indicates the company is spending heavily on computing power and research as it races to compete with rivals such as OpenAI and Google. Anthropic, known for its Claude chatbot, has raised billions from investors including Amazon and Google. The draft prospectus suggests the company is preparing for a public listing. The reported loss highlights the intense capital demands of building and running large language models. Anthropic has not publicly commented on the WSJ report. Investors are increasingly scrutinising whether massive AI spending will translate into sustainable profits.

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