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Anthropic reportedly agrees to pay Google $200 billion for chips and cloud access - Engadget
We learned earlier this month that Google and Anthropic had inked a deal that would grant the creator of the Claude AI models access to cloud servers and chips. Today, The Information reported that Anthropic has agreed to pay a staggering $200 billion to Google over the next five years. Contracts like this, or Anthropic's other recent multi-billion dollar arrangement with Amazon, now account for a ludicrous amount of money promised to some of the world's largest tech companies. The Information claims that deals with Anthropic and OpenAI are responsible for a revenue backlog of $2 trillion across Amazon, Google, Microsoft and Oracle. These cloud service providers have been early investors in the AI boom, gambling that the startups' need for their resources as they grow would yield lucrative dividends. So far, they've been correct. Previous projections estimated that server costs in 2026 could reach $45 billion for OpenAI and $20 billion for Anthropic. Similar moves have also happened at chipmakers like NVIDIA, which has made its own investments into OpenAI. These expensive circular deals are part of what's driving the current AI boom, but they aren't exactly a sustainable business practice. Data centers put a strain on limited resources and RAM shortages aren't expected to stop bringing prices up and sales down for related gadgets any time soon.
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Anthropic commits to spending $200 billion on Google's cloud and chips, the Information reports
May 5 (Reuters) - Anthropic has committed to spend $200 billion with Google Cloud over five years as part of a recent agreement, the Information reported on Tuesday, citing a person with knowledge of the matter. The commitment indicates that the AI startup represents more than 40% of the "revenue backlog" Google disclosed to investors last week, reflecting contractual commitments from its cloud customers, according to the report. Contracts involving Anthropic and OpenAI now account for more than half of the $2 trillion in backlogs at major cloud providers, the U.S. digital news outlet said. Reuters could not immediately verify the report. Anthropic and Google did not respond to requests for comment. Google parent Alphabet's shares were up about 2% in extended trading on Tuesday following the report. (Reporting by Disha Mishra in Bengaluru; Editing by Tasim Zahid and Sriraj Kalluvila)
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Anthropic has agreed to spend $200 billion with Google Cloud over five years for access to cloud servers and chips. The deal represents more than 40% of Google's disclosed cloud revenue backlog and highlights how AI startups are driving unprecedented spending commitments with major tech companies, with Anthropic and OpenAI together accounting for over half of the $2 trillion in backlogs across cloud providers.
Anthropic has committed to spending $200 billion on Google's cloud and chips over the next five years, according to a report from The Information
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. The agreement grants the creator of the Claude AI models access to critical infrastructure needed to develop and scale its AI systems. This massive commitment represents more than 40% of the cloud revenue backlog that Google disclosed to investors last week, underscoring just how dependent major cloud platforms have become on AI startup spending2
.Source: Market Screener
Contracts involving Anthropic and OpenAI now account for more than half of the $2 trillion in backlogs at major cloud providers including Amazon, Google, Microsoft, and Oracle
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. These staggering figures reflect how investments by leading AI companies are fundamentally reshaping the economics of cloud computing. Anthropic has also signed a multi-billion dollar arrangement with Amazon, further diversifying its infrastructure partnerships1
. Cloud service providers positioned themselves as early investors in the AI boom, betting that startups' growing need for cloud servers and chips would generate lucrative returns. So far, that gamble appears to be paying off handsomely.The financial scale of these deals reflects the enormous computational demands of training and running advanced AI systems. Previous projections estimated that server costs in 2026 could reach $45 billion for OpenAI and $20 billion for Anthropic
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. These figures highlight why AI companies are locking in long-term infrastructure agreements now. Chipmakers like NVIDIA have also made their own investments into OpenAI, creating circular deals where investors and service providers are often the same entities collecting revenue from their portfolio companies1
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While these expensive arrangements are driving the current AI boom, concerns about sustainability persist. Data centers put significant strain on limited resources, and chip shortages continue to push prices up while constraining supply for related hardware
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. The market responded positively to news of the Anthropic deal, with Alphabet shares rising about 2% in extended trading2
. However, questions remain about whether this model can continue as infrastructure demands escalate and resource constraints become more acute. The concentration of such massive commitments among a handful of AI players also raises questions about market dynamics and competitive access to essential computing resources.Summarized by
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