OpenAI is seeking about $20 billion at a $1.25 trillion valuation as major technology companies prepare enormous AI infrastructure budgets.
OpenAI is seeking about $20 billion in a funding round that would value the company at $1.25 trillion after the investment, Reuters reported October 31. The first close is expected to come in below that target after some investors reduced their allocations. The round remains open, so its final size and terms are not settled.
The reported target is down from an earlier figure of about $30 billion, while the valuation is below the previously reported $1.4 trillion. Reuters said the changes came amid a technology-stock selloff driven by concerns about AI spending, citing a Financial Times report. The terms show that even the industry’s largest companies face scrutiny over how much capital they need and what investors can expect in return.
A UAE investor consortium including state-backed technology fund MGX is expected to be the largest participant, Reuters reported. The arrangement would give OpenAI an option to lease newly developed regional computing capacity, linking investment to access to infrastructure. Founders Fund, Coatue, Sequoia Capital and Andreessen Horowitz are also expected to participate, according to the source material.
The financing arrives as major technology companies plan extraordinary spending on computing infrastructure. CNBC reported October 31 that Amazon reiterated roughly $220 billion in capital spending for 2026, while Alphabet maintained guidance of up to $205 billion. Microsoft reduced its forecast to $170 billion from $175 billion. The figures are company forecasts, not final spending totals, but they signal the scale of resources the largest providers are prepared to commit.
For businesses and developers that rely on cloud platforms, those commitments matter beyond the companies’ balance sheets. Computing capacity is becoming a strategic input to AI development, and a handful of providers can build at a scale few others can match. Expanded capacity could support new services and meet rising demand; dependence on a small group of suppliers also gives their investment and allocation decisions broad influence over customers.
Google offered a more experimental glimpse of the race. The Verge reported that the company booted Tensor Processing Units aboard an AI-equipped satellite and ran its Gemma 4 model, which generated a response to a prompt. The test is part of Project Suncatcher, Google’s effort to explore AI data centers in space. The company plans to test the chips under thermal stress and radiation, with a pair of interconnected satellites targeted for 2027.
The satellite experiment is not a near-term alternative to terrestrial cloud computing. Space poses distinct challenges for cooling, communications and maintenance, and the reported test does not establish a commercial service. It does show companies exploring options beyond conventional data centers as demand for computing grows.
The available reporting centers on financing and infrastructure, not a newly announced model release from OpenAI, Anthropic, Google, Meta or the open-source community. The supplied material also does not provide verified figures for Anthropic’s long-term compute commitments, so those estimates are excluded. For now, the central question is whether the AI industry can turn unprecedented spending and access to capital into durable demand and returns.

