Last updated: November 2, 2026, 10:30 AM IST
Let us be precise about what we know, because this story is being retold in ways that outrun the evidence. According to a report by The Information on October 27, 2026, relayed by Reuters, OpenAI plans to buy artificial intelligence chips from Google. The report, citing a person familiar with the matter, says OpenAI intends to purchase Google's Tensor Processing Units, or TPUs — the custom chips Google builds as an alternative to Nvidia's market-leading graphics processors. OpenAI declined to comment. Google did not immediately respond to Reuters. No financial terms, chip volumes, chip generation or delivery schedule have been disclosed, and neither company has confirmed a deal.
With that caveat stated plainly — this is a reported plan, not a confirmed purchase — the story is still remarkable. OpenAI is one of Nvidia's biggest customers and one of Google's fiercest competitors, in AI products and in search. A reported decision to buy hardware from a rival, on top of an existing relationship in which OpenAI already rents Google's chips and now offers its frontier models through Google Cloud, points to a fundamental shift in how the AI industry organises itself. The age of single-supplier loyalty is ending. The age of buying compute from anyone who can deliver it, including your rivals, has arrived.
What Was Reported — and What Was Not
The Information's report, as carried by Reuters and BusinessWorld, contains three core claims. First, OpenAI plans to buy Google's TPUs rather than only renting them through Google Cloud. Second, OpenAI is recruiting engineers to optimise its frontier models for TPUs — a detail that matters, because adapting models to a different chip architecture takes serious engineering effort, and companies do not hire for that work unless they intend to run meaningful workloads on the hardware. A public job posting for a TPU Compilers engineer has been cited as supporting evidence for that hiring push.
Third, the report discloses nothing about scale. We do not know how many chips, which generation, at what price, or on what timetable. Alphabet's chief financial officer, Anat Ashkenazi, has previously said the company expects to begin recognising a small percentage of revenue from TPU sales agreements by the end of 2026, with the vast majority recognised in 2027 — which suggests that any OpenAI order, if finalised, would most likely land in Google's books next year rather than this one. Until either company confirms the plan, every number attached to it in secondary coverage is speculation, and readers should treat it as such.
It is also worth noting what the report does not claim. It does not say OpenAI is dropping Nvidia. It does not say TPUs will replace GPUs for training OpenAI's flagship models. And it does not say a contract has been signed. The most accurate summary is the least exciting one: a well-sourced report says OpenAI intends to buy a rival's chips, both companies declined to confirm, and the details are unknown. Everything else in this article follows from that carefully limited fact.
From Renting to Buying: How the Relationship Changed
The reported purchase would be the latest step in a relationship that has transformed with startling speed. In June 2025, Reuters reported that OpenAI had begun renting Google's TPUs through Google Cloud to bring down the cost of running ChatGPT — the first significant use of non-Nvidia chips in the company's history. At the time, OpenAI said it was only testing the chips at an early stage and had no plans for large-scale deployment. Roughly sixteen months later, the company is reportedly preparing to buy them outright.
The commercial ties have deepened in parallel. Last week, OpenAI said it would make its frontier AI models available through Google Cloud — a striking arrangement between two companies that compete directly in AI assistants and search. Google, for its part, began selling TPUs directly to some customers this year, after years of keeping them largely in-house, and has found eager buyers among Nvidia's biggest customers. Anthropic, another frontier AI lab and Google rival, is already a TPU customer. OpenAI would be joining a queue, not starting one.
Oracle's announcement on October 27 sharpened the picture further. At its AI World conference in Las Vegas, Oracle said Google's TPUs will be offered through Oracle Cloud Infrastructure starting in 2027 — the first time a hyperscale cloud outside Google will rent them out — naming Google's eighth-generation chips, TPU 8t for training and TPU 8i for inference and agent workloads, with Google claiming nearly three times the compute per pod of the previous generation. Oracle's cloud chief described it as a "multi-year, multi-gigawatt partnership" and added: "This is not an experiment." The same day, Oracle and OpenAI expanded their own partnership, bringing Oracle's business apps into ChatGPT. The web of deals is now so dense that "rival" barely describes these companies anymore.
Why OpenAI Wants a Second Source
The strategic logic is straightforward, and it has little to do with loyalty. Nvidia's chips are the industry standard for training frontier models, and OpenAI remains one of their largest buyers. But Nvidia cannot make enough of them to satisfy everyone, its prices reflect that scarcity, and any company building its entire future on a single supplier is exposed to that supplier's roadmap, pricing and allocation decisions. A second source is insurance — and, in a negotiation, leverage.
Google's TPUs offer a plausible second source because they are genuinely competitive for many AI workloads, particularly inference — the business of running models for users, which is where OpenAI's costs are concentrated as ChatGPT's user base grows. TPUs were developed more than a decade ago for search and adapted for AI, and Google has spent years optimising its own models for them. For OpenAI, the cost is the engineering work of adapting its models to a new architecture; the benefit is capacity that does not depend on Nvidia's production lines, and potentially lower costs per query at scale.
OpenAI's broader chip strategy points the same way. The company is developing its own AI chip with Broadcom — reportedly codenamed Jalapeno — which it plans to deploy by the end of 2026, and it signed a roughly 6-gigawatt deal with AMD in October 2025. The reported TPU purchase fits that pattern exactly: not a replacement for Nvidia, but one more leg of a multi-vendor strategy designed to make sure OpenAI is never hostage to any single chipmaker. In six months, as one analyst put it, the accurate description of OpenAI's compute will be "Nvidia, TPUs, Broadcom chips and, in time, AMD" — a sentence that would have sounded absurd two years ago.
What It Means for Nvidia — and for Google
For Nvidia, the honest answer is: less than the headlines suggest, and more than nothing. Nvidia's shares were little changed on the morning after the report, trading around $218 against an October 6 record of $239.24 — a sign that investors read the report as OpenAI adding capacity rather than abandoning its main supplier. The Motley Fool's analysis made the same point: the report says less than its headline implies, because it describes OpenAI adding chips while Nvidia cannot make enough of its own. Losing exclusivity is not the same as losing a customer.
Over a longer horizon, though, the direction is unmistakable. Every major AI lab and cloud provider is now building or buying alternatives to Nvidia: Google's TPUs, Amazon's Trainium, Microsoft's Maia, Meta's MTIA, and the custom chips from OpenAI and Anthropic. Nvidia will remain the standard for frontier training for years, but its share of the total AI compute market is under pressure from every direction at once — and a reported OpenAI purchase of Google's chips is the most symbolically potent example yet, because OpenAI was supposed to be Nvidia's safest customer.
For Google, the reported deal would be a different kind of milestone. Google has spent a decade building TPUs primarily for itself; selling them to rivals turns a cost centre into a business, and a potentially enormous one. Analyst estimates cited in coverage put Google's TPU sales in the tens of billions of dollars in 2027, and Alphabet's earnings — reported after the news broke — were watched closely for signs that cloud growth is being driven by exactly this hardware demand. If OpenAI, Anthropic and Oracle are all buying or renting TPUs, Google is no longer just an AI competitor. It is becoming the AI industry's second chip vendor. That is a transformation with consequences far beyond one reported order.
The Bigger Picture: Rivals, Partners, Frenemies
Step back, and the OpenAI-Google story is really a story about the AI industry growing up. In the early years, the lines were clean: OpenAI built models, Microsoft provided cloud and cash, Google competed from the other side of the fence, Nvidia sold everyone the picks and shovels. That world is gone. Microsoft, Amazon and Alphabet together plan to spend as much as $600 billion this year on AI infrastructure, and the money flows in every direction at once — OpenAI's models on Google Cloud, Google's chips on Oracle's cloud, Oracle's apps inside ChatGPT, OpenAI's chips from Broadcom.
This interdependence is not a bug; it is the economics of an industry where no single company can build everything it needs. The compute demands of frontier AI are so large, and the supply chains so constrained, that even the fiercest rivals must trade with each other to survive. The reported TPU purchase is simply the latest and most vivid example — and a reminder that in AI, today's rival is tomorrow's supplier, and yesterday's supplier is today's competitor. The companies understand this. The rest of us are still catching up.
What to watch next is simple: confirmation. If OpenAI or Google confirms a purchase, the terms — volume, generation, timing — will tell us whether this is a meaningful shift in OpenAI's compute mix or a modest diversification. If neither confirms, the report will stand as a well-sourced claim about intent, and intent in this industry has a habit of becoming reality within a year or two. Either way, the direction is set: the AI chip market is opening up, and Nvidia's monopoly on the future is over — even if its dominance is not.
Frequently Asked Questions
Has OpenAI confirmed it will buy Google's AI chips?
No. The plan was reported by The Information on October 27, 2026, citing a person familiar with the matter, and relayed by Reuters. OpenAI declined to comment and Google did not immediately respond. Until either company confirms, this remains a reported plan, not a confirmed deal.
What are Google TPUs?
TPUs, or Tensor Processing Units, are Google's custom-designed chips for accelerating machine-learning workloads. They compete with Nvidia's GPUs as an alternative source of AI computing capacity, and Google has increasingly sold them to outside customers after years of using them mainly in-house.
Does OpenAI already use Google's chips?
Yes, as a rental. Reuters reported in June 2025 that OpenAI had begun renting TPUs through Google Cloud to lower ChatGPT inference costs — its first significant use of non-Nvidia chips. The reported plan would move from renting to buying.
Is OpenAI dropping Nvidia?
There is no evidence of that. OpenAI remains one of Nvidia's largest customers, and almost all training of its flagship models still runs on Nvidia GPUs. The reported TPU purchase fits a multi-vendor strategy that also includes AMD and a custom Broadcom chip — diversification, not replacement.
What are the terms of the reported deal?
None have been disclosed — no price, volume, chip generation or delivery schedule. Alphabet has said it expects only a small percentage of TPU sales revenue to be recognised by the end of 2026, with the vast majority in 2027, suggesting any order would likely land in Google's books next year.
Sources
- BusinessWorld / Reuters — OpenAI plans to buy Google's AI chips, The Information reports
- The Motley Fool — OpenAI reportedly plans to buy Google's AI chips. Should you sell Nvidia stock?
- BoldVoices — OpenAI reportedly plans to buy Google AI chips
- Skimwire — Oracle to offer Google TPUs; OpenAI reportedly plans to buy them
My Personal Take
I am fascinated by this story less for the chips than for what it says about the AI industry's manners. Two years ago, OpenAI buying Google's hardware would have been treated as a surrender. Now it is treated as common sense, because everyone has realised that the compute shortage is bigger than any rivalry. That is a healthy development — monopolies, even benevolent ones, make industries fragile — but it is also a little sad. The heroic phase of AI, when companies had distinct philosophies and sworn enemies, is giving way to a phase where everyone buys from everyone and competes on margins. Progress, probably. Romance, definitely not.
One caution, though, and it is the same one I would give about any anonymously sourced report: wait for the confirmation before you trade on it, literally or intellectually. The Information is well-sourced and Reuters does not relay lightly, but "plans to buy" has a long distance to travel before it becomes a purchase order, and that distance is where deals fall apart. If it happens, it matters enormously. Until it does, it is a reported plan — and I have written this whole article with that label attached, because readers deserve to know exactly how solid the ground is beneath the story.
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