OpenAI reportedly plans to buy Google's AI chips, in a move that would turn two of the fiercest rivals in artificial intelligence into hardware partners. The report, published on October 28, 2026, comes from The Information, via Reuters, and it is already raising a big question: how far will competition give way to cooperation when every AI company needs more computing power?
Before going further, one important note. This is a reported plan, not a confirmed deal. The report cites a person familiar with the matter, discloses no financial terms, and neither company has confirmed it. OpenAI declined to comment, and Google did not immediately respond to Reuters. That distinction matters, and this article keeps it throughout.
What was actually reported
According to the report, OpenAI plans to buy Google's AI chips. No price, quantity, or delivery timeline was disclosed. The story does not say which Google chip is involved, nor whether the purchase would be a one-off order or the start of a longer supply arrangement.
What the report does establish is direction: OpenAI, best known as the maker of ChatGPT, is looking seriously at Google's silicon as part of its computing supply. That alone is notable, because the two companies compete directly in AI products and in search.
Why rivals are suddenly doing deals
The reported chip plan does not come out of nowhere. Last week, OpenAI said it would make its frontier AI models available through Google Cloud. That was already a sign that rivalry and partnership can exist side by side in AI.
The same pattern is visible elsewhere in the industry. Deals with customers including rival Anthropic have fuelled demand for Google's chips, according to Reuters. And OpenAI's own enterprise push is accelerating — just this week, Oracle AI Workspace brought ChatGPT into Oracle's business apps and data, showing how OpenAI is embedding itself inside other companies' systems rather than only selling a standalone chatbot.
In other words, the AI business is becoming a web of deals: companies compete on products while sharing cloud, chips, and distribution where it suits them.
TPUs vs GPUs: why Google's chips matter
Google's Tensor Processing Units, or TPUs, are custom chips designed for AI training and inference. They have gained traction as an alternative to Nvidia's market-leading graphics processing units, which most AI labs still rely on. Reuters notes that companies are seeking cheaper options, and Google began selling TPUs directly to some customers this year.
OpenAI is already among the largest buyers of Nvidia's GPUs, which it uses to train and deploy its models. Reuters reported in June 2025 that the ChatGPT maker had begun renting Google's AI chips. Buying them outright would be a step further — a sign that OpenAI wants more than one supplier for the hardware its models run on.
That diversification logic is familiar across the chip market. SpaceX's $40 billion AI chip lease deal showed how even huge AI infrastructure bets are now structured through third parties, and every major lab is trying to avoid being locked into a single supplier, price, or delivery queue.
The $600 billion spending backdrop
The timing also fits a much bigger spending wave. Amazon, Microsoft, and Google parent Alphabet plan to spend as much as $600 billion combined this year on AI infrastructure, according to the Reuters report, even as investors ask when that spending will turn into meaningful returns.
Alphabet reports its quarterly results later on Wednesday, and investors will be watching for signs that heavy AI investment is continuing to drive growth in its cloud business. Alphabet has said it expects to begin recognising a small percentage of revenue from TPU sales agreements by the end of this year, with the vast majority expected in 2027.
OpenAI, for its part, is not standing still on chips either. In June it unveiled its first custom AI chip designed with Broadcom, and said it planned to deploy the processor by the end of this year as part of a multi-generation chip program. That makes the reported Google purchase look less like dependence and more like a portfolio: custom chips, Nvidia GPUs, and now possibly Google TPUs.
What to watch next
Three things will tell us whether this report becomes a real deal. First, confirmation: will either company acknowledge a purchase, or will it stay as an unconfirmed report? Second, scale: a small test order and a large multi-year supply deal mean very different things. Third, timing: OpenAI's newest models, including the cheaper GPT-6.1 Terra computer-use model launched this week, will need vast inference capacity, and chip supply could decide how fast those products roll out.
Until those answers arrive, the safest reading is also the most interesting one. The AI chip race is no longer just Nvidia versus everyone else. Google's TPUs are now a serious alternative, and even OpenAI — Nvidia's biggest customer in spirit, if not in name — is reportedly willing to buy from a rival to secure supply.
Would you trust a Google chip to power ChatGPT, or should OpenAI stick with Nvidia? Share your take in the comments below.
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