OpenAI and SoftBank Group have jointly pledged a $1 billion investment in SB Energy, signaling a deepening focus on building the power and data center infrastructure needed to support large-scale artificial intelligence deployment in the United States. The investment, announced on January 9, 2026, comes as part of the multi-year Stargate initiative, a U.S. AI infrastructure effort backed by the companies and other partners aiming to create tens of gigawatts of compute capacity and associated facilities (Reuters).
Under the agreement, OpenAI and SoftBank Group will each contribute $500 million, totaling $1 billion in equity funding to bolster SB Energy’s capacity to build and operate AI data centers and related power infrastructure. SB Energy, a SoftBank-owned developer that originally focused on renewable energy and storage projects, has shifted toward integrated energy and data center builds capable of supporting dense AI workloads.
The equity infusion positions SB Energy to scale its involvement in the Stargate initiative, which was first publicly unveiled in January 2025 alongside President Donald Trump and other partners, including Oracle and MGX, with a pledged investment of up to $500 billion in U.S. AI infrastructure (Wikipedia).
A cornerstone of the expanded partnership is a previously announced 1.2 gigawatt AI data center site in Milam County, Texas, which OpenAI has selected SB Energy to build and operate. One gigawatt of power capacity is roughly equivalent to the amount required to supply electricity to hundreds of thousands of homes, highlighting both the scale and energy intensity of modern AI computing infrastructure (Reuters).
According to SB Energy, the Milam County project is designed to minimize water usage and drive rapid deployment without imposing undue strain on local utilities. Initial data center campuses developed by the company are expected to begin service during 2026 as part of a broader national expansion (SB Energy).
The move reflects a growing industry realization that compute capacity and energy supply are inseparable in the AI era. As AI workloads scale—especially for training and inference—traditional data center expansion strategies that rely solely on grid power have become increasingly challenged by energy constraints, cost volatility, and long lead times for new generation capacity.
OpenAI’s investment in SB Energy aligns with this trend by building compute facilities alongside integrated energy infrastructure and ensuring a long-term, resilient supply of power. SB Energy’s leadership has emphasized that combining data center engineering with energy generation capabilities enables scalable and repeatable deployment of purpose-built AI campuses (SB Energy).
Under the partnership framework, SB Energy will also become a customer of OpenAI, integrating OpenAI APIs and deploying tools like ChatGPT internally. This reflects a reciprocal relationship between the infrastructure provider and the AI platform, underlining the strategic value of tighter alignment between compute demand and operational tooling (SB Energy).
Both organizations have formed what is described as a non-exclusive preferred partnership designed to deliver a new model for AI data center construction that pairs OpenAI’s first-party designs with SB Energy’s execution expertise and energy delivery capabilities.
The SB Energy investment also highlights how major AI players are racing not just on models, but on the physical infrastructure needed to run them. Hyperscalers like Meta Platforms have made large commitments to secure power, including nuclear and renewable contracts, to avoid bottlenecks in electricity availability as AI workloads surge (Arizona Digital Free Press).
For OpenAI, the investment and partnership come amid a period of heightened competition in the AI space. The company has publicly acknowledged rising costs and a strategic focus shift in response to rival offerings like Google, prompting a “code red” push to enhance ChatGPT and stabilize its position as a platform leader (Reuters).
This partnership marks an important evolution in how AI capabilities are operationalized. Rather than renting compute from existing data centers, leading AI firms are now directly investing in the underlying infrastructure—from grid-independent energy generation to new-build AI campus designs.
For senior tech leaders and cloud architects, this underscores a critical shift. Building AI capacity at scale now requires more than GPUs and APIs—it demands a new operational mindset rooted in energy sourcing, infrastructure resilience, and capital deployment. The OpenAI, SoftBank, and SB Energy alignment is one of the clearest signs yet that the AI arms race is increasingly being fought at the megawatt and gigawatt level.
