Anthropic and OpenAI have already purchased a lot of compute for the future, which is very costly.
Mostly true True in substance, wrong in a detail.
Factual: Statements about the present or the past, checked against the record: did they hold up?
Said for an organisation they lead or work for; it counts on both records.
What would count as true or false
Judged as of 2026-05-09. True: public announcements or filings show that both Anthropic and OpenAI had entered into large, multi-year compute purchase or capacity commitments for future use (e.g. deals with cloud providers, chipmakers or data-centre developers worth billions of dollars) by that date. Mostly true: both firms have large future compute commitments, but some are described as leases, partnerships or credits rather than purchases. Mixed: only one of the two firms has substantial documented forward compute commitments. Mostly false: both firms' commitments are small or mostly short-term. False: neither firm had made significant forward compute commitments.
Set before the research began.
Evidence (4)
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E1 Anthropic and Amazon expand compute collaboration Anthropic · 20 April 2026 Own record
“We are committing more than $100 billion over the next ten years to AWS technologies, securing up to 5GW of new capacity to train and run Claude.”
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E2 Microsoft, NVIDIA, and Anthropic partnerships Anthropic · 18 November 2025 Own record
“Anthropic has committed to purchase $30 billion of Azure compute capacity and to contract additional compute capacity up to one gigawatt.”
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E3 OpenAI, Oracle, and SoftBank expand Stargate with five new AI data center sites OpenAI · 23 September 2025
“This represents a partnership that exceeds $300 billion between the two companies over the next five years.”
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E4 OpenAI, Oracle, and SoftBank expand Stargate with five new AI data center sites OpenAI · 23 September 2025
“This puts us on a clear path to securing the full $500 billion, 10-gigawatt commitment we announced in January by the end of 2025, ahead of schedule.”
Reasoning
Anthropic's official announcements say it committed more than $100 billion over ten years to AWS for up to 5GW of capacity (E1), and committed to buy $30 billion of Azure compute capacity (E2). Both were announced before 2026-05-09. For OpenAI, its announcements describe a 'partnership that exceeds $300 billion' with Oracle over five years (E3) and a $500 billion, 10-gigawatt Stargate commitment (E4). These are large multi-year forward commitments, but OpenAI's are described as partnerships or commitments rather than outright purchases, which fits the 'mostly true' criterion.
Cite this claim
Daniela Amodei, “Anthropic and OpenAI have already purchased a lot of compute for the future, which is very costly.” (said 9 May 2026). Verdict: mostly true. Reliability API, claim c_0a8ffd665382, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_0a8ffd665382
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Daniela Amodei
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Mostly true
“you’re essentially making a bet on the future.”
AI companies must buy compute far in advance, essentially making a bet on future demand.
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Resolved true
“It takes a lot of compute, and that compute is in scarce supply.”
Training AI models takes a lot of compute, and compute is in scarce supply.
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Mostly true
“The compute is really the lifeblood of these companies, and you have to buy it far in advance.”
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Resolved true
“Training these models is extremely expensive. It takes a massive amount of compute power, which is limited in supply.”
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Mostly true
“I think that's largely because we're seeing this trend of training large generative models to just be almost prohibitively expensive, right.”
Training large generative models is becoming almost prohibitively expensive.
Verdicts are made automatically; how verdicts are made.