AI giant Anthropic's six-month loss revealed! WSJ: $80.7 billion

AI giant Anthropic's six-month loss revealed! WSJ: $80.7 billion

21.10.2026 03:30

According to a report by The Wall Street Journal based on a draft report on the IPO process, the US artificial intelligence company Anthropic lost $80.7 billion in the first half of this year. It was stated that $72 billion of the loss consisted of accounting expenses arising from changes in the value of financial instruments. The report also listed as risks the possibility of models exhibiting behavior aimed at preventing shutdown and producing blackmail-like responses.

According to a Wall Street Journal (WSJ) report based on a draft report containing financial information about the company's IPO process, US-based artificial intelligence company Anthropic lost $80.7 billion in the first half of this year.

The report noted that in the same period of the previous year the loss was $13 billion, and stated that $72 billion of this year's loss consisted of accounting expenses arising from changes in the value of convertible debt instruments and other financial instruments issued by the company.

$750 BILLION IN SPENDING ON COMPUTING

The report states that the company must pay approximately $450 billion for cloud computing agreements over the next seven to ten years.

The draft report also indicates that Anthropic may spend $750 billion on additional computing capacity in the coming years.

RISKS ALSO INCLUDE BLACKMAIL-LIKE RESPONSES

The report, which also draws attention to risks associated with artificial intelligence systems, includes among them the possibility that models may exhibit behaviors aimed at preventing their shutdown or produce blackmail-like responses.

The news report also describes political opposition to data center construction in the US, where the majority of Anthropic's computing capacity is located, as a potential risk factor.

IPO DOCUMENTS EXPECTED WITHIN WEEKS

Anthropic is expected to formally submit its IPO documents in the coming weeks, along with seeking additional funding for chips, data centers, and personnel needed to develop its artificial intelligence models.

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