Market Chatter: OpenAI, Anthropic Finances Show Soaring Costs to Train AI Models, Process Queries

MT Newswires Live04-07

Microsoft-backed (MSFT) OpenAI and Amazon-backed (AMZN) Anthropic shared their financial documents with investors, revealing mounting costs required to train new artificial intelligence models, The Wall Street Journal reported late Sunday.

OpenAI anticipates spending $121 billion on computing power for AI research in 2028, while Anthropic's "rosiest forecasts tell a similar story," the report said, adding that the companies are reporting two different measures of profitability, one that includes training costs and one without.

Excluding "compute for research," OpenAI is on track to generate a pretax operating profit this year, and including that metric, OpenAI is not expected to break even until the 2030s; Anthropic is expected to break even sooner, according to The Wall Street Journal.

The two companies are further expected to spend billions of dollars to process queries that users make on their AI systems, the report said, noting that these "inference" costs currently eat into over half of the revenue of each company.

OpenAI and Anthropic did not immediately respond to MT Newswires' request for comment.

(Market Chatter news is derived from conversations with market professionals globally. This information is believed to be from reliable sources but may include rumor and speculation. Accuracy is not guaranteed.)

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