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TL;DR
The Information and Bloomberg report that OpenAI plans to buy Google’s AI chips, citing one person familiar with the matter. OpenAI and Google have not confirmed a purchase, and no price, quantity or delivery date has been disclosed. The report could give OpenAI another source of computing capacity, but it does not establish that Nvidia’s position is ending or that ChatGPT users will see changes.
The Information and Bloomberg reported this week that OpenAI plans to buy Google’s tensor processing units (TPUs), adding a potential supplier as the AI company expands its computing capacity. Neither OpenAI nor Google has confirmed a purchase; the reported accounts each cite one person familiar with the matter, and price, chip quantity and delivery timing are unknown.
The Information published its report on October 27, and Bloomberg reported the plan the following day. Reuters, relaying The Information’s report, said financial terms and other details were not available. OpenAI declined to comment to Reuters, while Google did not immediately respond. The report should be treated as an account of a plan, not evidence that a contract has been signed or chips delivered.
There is evidence that OpenAI is working on TPU technology. A TPU Compilers software engineering job on the company’s careers page, posted October 20, seeks experience optimizing machine-learning workloads on TPUs. Its description says the successful candidate would help optimize OpenAI’s frontier models on the chips. That points to technical preparation, but does not establish that OpenAI has placed an order.
The scale and structure of any possible deal remain undisclosed. It is not known which TPU generation OpenAI might use, how many chips it might acquire, what they would cost, or whether they would run in Google’s data centers, OpenAI facilities or a third-party cloud. The companies have existing commercial ties: OpenAI said October 21 that its frontier models would be available through Google Cloud.
Infographic 01 · Reported, documented, confirmed
OpenAI and Google’s TPUs: what we actually know
The purchase itself is a report. The pieces around it, Google selling its chips and OpenAI hiring for them, are on the record.
- OpenAI plans to buy Google’s AI chipsReported
The Information, 27 October; Bloomberg, 28 October. Each cites one person familiar with the matter. OpenAI declined to comment; Google did not comment.
- OpenAI is hiring to optimize its frontier models on TPUsPrimary document
“Software Engineer, TPU Compilers”, posted on OpenAI’s careers page on 20 October 2026. A sign of serious work, not a purchase order.
- Google sells TPU systems into customers’ own data centersConfirmed
Announced on 29 April, first deliveries in the second quarter, “a meaningful revenue ramp in 2027” (Alphabet’s CFO, 28 October).
- Oracle will offer Google TPUs in its cloudConfirmed
The first cloud outside Google to do so. Available in calendar year 2027, ramping over several years.
- Price, number of chips, TPU generation, delivery dates, locationNot known
Nothing published. Not even whether the chips would sit in Google’s data centers, OpenAI’s or a partner’s.
How OpenAI and Google got here
- Jun 2025OpenAI rents Google TPUs, calls it early testingReuters: no active plans to deploy them at scale
- 29 Apr 2026Google: TPUs for customers’ own data centersAlphabet Q1 earnings call
- 20 Oct 2026OpenAI posts a TPU compiler jobOpenAI careers page
- 21 Oct 2026OpenAI models coming to Google CloudOpenAI announcement, as reported by Reuters
- 27 Oct 2026The Information reports the purchase plan; Oracle announces TPUsReported · Oracle press release
- 28 Oct 2026Bloomberg reports it too; Alphabet’s call does not mention OpenAIReported · Alphabet Q3 call
“Reported” means the outlets’ own reporting, which I could read only in part (paywalls). “Confirmed” means the company’s own statement or filing.
Sources: The Information via Reuters, 27 Oct 2026, Bloomberg, 28 Oct 2026, as cited by The Asia Business Daily, OpenAI careers, posted 20 Oct 2026, Reuters, 30 Jun 2025, Alphabet Q1 call, 29 Apr 2026, Q3 call, 28 Oct 2026, Oracle, 27 Oct 2026.
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If the report leads to a deal, Google would become another potential source of computing capacity for OpenAI. That matters because advanced AI models require large amounts of specialized hardware, and access to chips and the infrastructure to run them can shape how quickly a company can train and serve models. A second source could give OpenAI more flexibility if it can use the hardware effectively.
The development could also affect negotiations with existing suppliers. OpenAI has announced chip arrangements beyond Nvidia, including agreements involving AMD, Broadcom, Cerebras and Amazon. A reported Google purchase would add to that diversification effort. It may give a large buyer more options in discussions over price, supply and delivery, but there is no public evidence yet that it has changed Nvidia’s commercial position or reduced OpenAI’s reliance on its hardware.
For ChatGPT users, there is no confirmed immediate change. The source material gives no evidence of a price adjustment, a faster service or a change to available models arising from the reported plan. Any user impact would depend on whether a purchase happens, when the chips become available and how well OpenAI’s software runs on them. Those outcomes are not established by the report.
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Google Opens TPU Sales
Google developed TPUs for its own data centers and has also made them available through Google Cloud. In April 2026, chief executive Sundar Pichai said Google would begin delivering TPU systems in a hardware configuration to selected customers’ own data centers. On its October 28 earnings call, Google said nearly 100 customers use TPUs, naming Anthropic and Apple, and described partnerships with Oracle and Crux AI.
Oracle separately announced on October 27 that it plans to offer Google TPUs through its cloud from 2027. The announcement establishes a planned route for customers to access the hardware through Oracle; it does not confirm that OpenAI will use that service. Google’s shift to selling systems outside its own facilities makes an OpenAI purchase more plausible, but it does not verify the reported negotiations or their outcome.
OpenAI’s interest in TPUs would also not be its first reported exposure to the technology. Reuters reported in June 2025 that OpenAI had started renting Google TPUs through Google Cloud. OpenAI told Reuters at the time it was in early testing and had no active plans to deploy the chips at scale. The current report describes a possible purchase plan, a distinct step that has not been confirmed.
OpenAI’s announced supply arrangements already extend beyond Nvidia. The source material lists a 2025 letter of intent with Nvidia for 10 gigawatts, an AMD deal for 6 gigawatts, a Broadcom arrangement involving 10 gigawatts of custom chips, a Cerebras agreement for 750 megawatts and an Amazon Trainium arrangement of about 2 gigawatts. These are reported commitments or plans with differing terms, not a measure of chips already delivered or deployed.
“As TPU demand grows from AI labs, capital markets firms, and high performance computing applications, we will begin to deliver TPUs to a select group of customers in their own data centers in a hardware configuration.”
— Google chief executive Sundar Pichai, on the company’s first-quarter 2026 earnings call
Deal Terms Remain Unknown
No purchase has been confirmed publicly. The two reports each rely on one person familiar with the matter, and neither company has supplied details confirming an agreement. It is unknown whether discussions are ongoing, whether a contract has been signed, or whether the reported plan could change.
Even if OpenAI intends to buy TPUs, the practical scale and timing cannot be assessed without the chip quantity, model, price, delivery schedule and deployment location. It is also unclear whether the arrangement would involve direct hardware purchases or access through a cloud provider. The job listing supports the conclusion that OpenAI is doing TPU-related engineering work, but it cannot answer those commercial questions.
There is likewise no confirmed basis for saying the reported plan puts Nvidia’s position at risk in a specific measurable way. OpenAI has other announced chip arrangements, but their disclosed capacity figures are not evidence that each supplier’s hardware is already operational or interchangeable. How much work could move from Nvidia, if any, remains unknown.
Watch for Contract Details
The next evidence to watch for is a statement from OpenAI or Google confirming an agreement, or a filing, earnings call or partner announcement that gives terms. Useful details would include the TPU generation, quantity, price, delivery timetable and where the systems will run. Until then, the reported plan remains unconfirmed.
Oracle’s planned TPU cloud offering from 2027 is a separate development to track, as are any later disclosures about OpenAI’s other chip arrangements and their deployment. No immediate product change for ChatGPT users has been announced. For now, the news is about a reported supply plan, not a completed shift away from Nvidia or a confirmed change in AI services.
Key Questions
Has OpenAI confirmed that it will buy Google TPUs?
No. The Information and Bloomberg reported the plan, but neither OpenAI nor Google has confirmed a purchase in the source material. OpenAI declined to comment to Reuters, and Google did not immediately respond.
What would OpenAI use Google TPUs for?
The reports describe a plan to buy Google’s AI chips for OpenAI’s computing needs. OpenAI’s job listing shows work on optimizing frontier models for TPUs, but the company has not disclosed which workloads, models or services would use them.
Does this mean OpenAI is ending its reliance on Nvidia?
No such conclusion is confirmed. OpenAI has announced other chip arrangements, and the reported Google plan could add another option. The size of any Google deal and the amount of work that might run on its chips are unknown.
Could the reported plan change ChatGPT for users?
No user-facing change has been announced. The reports do not establish that the chips have been purchased or deployed, and there is no confirmed effect on ChatGPT pricing, speed or available models.
Source: ThorstenMeyerAI.com
