OpenAI has struck roughly $1 trillion worth of deals this year – an amount exceeding the company's current revenue – to secure the computing power needed to run its AI systems. The Microsoft-backed artificial intelligence (AI) company’s most recent deal is with chipmaker AMD as it scrambles to obtain enough computing capacity for its services.
The company behind ChatGPT has also announced similar agreements with Nvidia , Oracle and CoreWeave. Not only this, OpenAI signed a major deal with Google Cloud, finalised in May 2025, for the latter to provide computing power and specialised Tensor Processing Units (TPUs) for OpenAI's AI models.
Why OpenAI needs massive amounts of power
These deals would give OpenAI access to more than 20 gigawatts of computing capacity over the next decade—roughly equal to the power output of 20 nuclear reactors – to power its next generation of AI models. According to OpenAI executives' estimates, each gigawatt of AI computing capacity costs about $50 billion to deploy at today's prices, bringing the total cost to approximately $1 trillion.
A report by The Financial Times said that OpenAI is spending heavily on infrastructure, computer chips, and talent, but it doesn't have anywhere near the capital needed to fund these plans. The deals have tied some of the world's largest tech companies to OpenAI's ability to become profitable and meet its growing financial obligations.
Here are financials of all the deals OpenAI struck this year:
According to Financial Times calculations:
Nvidia deal: Could cost up to $500 billion
AMD deal: Could cost up to $300 billion
Oracle deal: Worth around $300 billion
CoreWeave deal: More than $22 billion in disclosed computing agreements
Both the Nvidia and AMD deals include incentives that could help OpenAI pay for the chips it purchases.
Meanwhile, OpenAI also launched an initiative in January called Stargate, partnering with SoftBank, Oracle and others. The project pledged to invest up to $500 billion in US infrastructure for OpenAI, though it's unclear how the Nvidia and AMD deals fit into these plans.
The company behind ChatGPT has also announced similar agreements with Nvidia , Oracle and CoreWeave. Not only this, OpenAI signed a major deal with Google Cloud, finalised in May 2025, for the latter to provide computing power and specialised Tensor Processing Units (TPUs) for OpenAI's AI models.
Why OpenAI needs massive amounts of power
These deals would give OpenAI access to more than 20 gigawatts of computing capacity over the next decade—roughly equal to the power output of 20 nuclear reactors – to power its next generation of AI models. According to OpenAI executives' estimates, each gigawatt of AI computing capacity costs about $50 billion to deploy at today's prices, bringing the total cost to approximately $1 trillion.
A report by The Financial Times said that OpenAI is spending heavily on infrastructure, computer chips, and talent, but it doesn't have anywhere near the capital needed to fund these plans. The deals have tied some of the world's largest tech companies to OpenAI's ability to become profitable and meet its growing financial obligations.
Here are financials of all the deals OpenAI struck this year:
According to Financial Times calculations:
Nvidia deal: Could cost up to $500 billion
AMD deal: Could cost up to $300 billion
Oracle deal: Worth around $300 billion
CoreWeave deal: More than $22 billion in disclosed computing agreements
Both the Nvidia and AMD deals include incentives that could help OpenAI pay for the chips it purchases.
Meanwhile, OpenAI also launched an initiative in January called Stargate, partnering with SoftBank, Oracle and others. The project pledged to invest up to $500 billion in US infrastructure for OpenAI, though it's unclear how the Nvidia and AMD deals fit into these plans.
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