OpenAI Plans to Buy Google's AI Chips, The Information and Bloomberg Report; Neither Company Confirms, but an OpenAI Job Ad Seeks a TPU Compiler Engineer
The Information reported on October 27 that OpenAI plans to buy Google's AI chips, citing a person familiar with the matter, and Bloomberg separately reported the same intent, also from an unnamed source. OpenAI and Google have not confirmed it, and no terms, volumes or timing are public. An OpenAI job listing posted October 20 seeks an engineer to lead the optimization of its frontier models on TPUs, Google's tensor processing units.

The report that OpenAI will buy Google's AI chips rests on unnamed sources, but it does not rest on them alone: OpenAI's own careers page is hiring someone to make its frontier models run well on those chips. What is still missing is confirmation from either company and any sense of how many chips, on what terms, and whether OpenAI would own them outright.
What has been reported#
The Information reported on October 27 that OpenAI plans to buy Google's AI chips. Reuters, which carried the report, said The Information cited a person familiar with the matter and that no financial terms were disclosed. Google did not immediately respond to Reuters' request for comment, and OpenAI declined to comment, according to Reuters.
Bloomberg separately reported that OpenAI intends to buy Google's chips, also citing a person familiar with the matter, according to Mint, which carried Bloomberg's story. Final terms of any deal are not yet known, according to that person, and OpenAI and Google declined to comment to Bloomberg.
Reuters noted that it reported in June 2025 that OpenAI had begun renting Google's AI chips, known as tensor processing units (TPUs), and that Google began selling TPUs directly to some customers this year.
The job ad#
An OpenAI listing for a "Software Engineer, TPU Compilers" on its Inference team in San Francisco, published on October 20, says: "We're looking for an engineer to lead the optimization of OpenAI's state-of-the-art frontier models on TPUs." The listing also mentions quantization among the work involved.
A hiring post shows that OpenAI is preparing to run its models on TPUs. It does not show whether OpenAI would buy the chips, rent them through a cloud, or both.
Where this fits#
OpenAI already designs its own silicon: in August it published the first measured results for Jalapeño, its custom inference chip. Google, for its part, has been making TPUs easier to adopt; on October 20 it open-sourced TorchTPU, a native PyTorch backend for TPUs co-developed with Meta.
Limits#
- The purchase plan is reported, not confirmed. Both outlets rely on a single unnamed person each; OpenAI and Google declined to comment or did not respond.
- We could read only the headline of The Information's paywalled story; its sourcing and lack of terms come from Reuters' summary of it.
- We read Bloomberg's report as published by Mint, not on Bloomberg's own site.
- No volume, price, delivery date or deployment location has been reported.
- We read the job listing on OpenAI's Ashby job board; OpenAI's main careers page did not load for us.
Sources#
- The Information: OpenAI, a Longtime Nvidia Customer, Plans to Buy Google's AI Chips (October 27, 2026)
- Reuters via U.S. News & World Report: OpenAI plans to buy Google's AI chips, The Information reports (October 27, 2026)
- Mint (Bloomberg): OpenAI turns to Google's AI chips amid race to challenge Nvidia (October 28, 2026)
- OpenAI Careers (Ashby): Software Engineer, TPU Compilers (October 20, 2026)
- Times of AI: Jalapeño Posts Pareto Numbers on Open Models (August 25, 2026)
- Times of AI: Google Open-Sources TorchTPU, a Native PyTorch Backend for TPUs Co-Developed With Meta (October 21, 2026)