OpenAI has outlined a proposal aimed at strengthening the United States’ artificial intelligence supply chain by expanding domestic manufacturing of the physical infrastructure required to run advanced AI systems. The initiative marks a broader focus on hardware, logistics and industrial capacity alongside software and model development.
In a public statement, OpenAI argues that large-scale AI deployment depends on a wide range of physical components that are currently produced largely outside the United States. According to the company, building these capabilities domestically could support economic growth, improve supply chain resilience and reduce dependence on foreign manufacturing.
As part of the proposal, OpenAI has issued a request for proposals to U.S.-based manufacturers interested in producing components used across the AI infrastructure stack. This includes elements for data centers, power and cooling systems, consumer devices and parts used in advanced robotics, such as motors, gear assemblies and power electronics.
OpenAI emphasizes that the AI supply chain extends well beyond semiconductors. The company points to the importance of racks, cabling, thermal management systems, mechanical assemblies and factory tooling as critical enablers of scalable AI infrastructure. Responses to the request for proposals are expected to inform future partnerships and procurement strategies.
The announcement reflects a broader trend in the AI sector, where competition increasingly involves control over physical infrastructure and manufacturing capacity in addition to algorithmic performance. As demand for compute and robotics continues to grow, supply chain robustness is becoming a strategic factor for AI developers and governments alike.
OpenAI positions the initiative as a long-term effort that aligns with wider discussions in the United States about industrial policy, technology sovereignty and the role of advanced manufacturing in maintaining leadership in emerging technologies.
