SoftBank is advancing its artificial intelligence infrastructure strategy by planning to manufacture large-scale batteries to support its growing network of AI data centres. The initiative reflects the company’s increasing focus on securing reliable energy solutions as demand for high-performance computing continues to rise globally.
The company’s mobile unit is set to convert part of its factory in Osaka into one of Japan’s largest production lines for industrial-scale batteries. These batteries will be specifically designed to power AI data centres, which require massive and stable electricity supply to support continuous processing and high workloads.
This move comes as energy availability has emerged as a critical bottleneck in the expansion of AI infrastructure. Large AI data centres consume enormous amounts of electricity, and companies are increasingly investing in dedicated energy systems to ensure uninterrupted operations. By producing its own batteries, SoftBank aims to reduce dependence on external energy providers and improve efficiency in managing power demand.
The battery production initiative is expected to complement SoftBank’s broader investments in AI data centres across multiple regions. The company has already been working on large-scale infrastructure projects, including high-capacity data centres and power generation systems, as part of its long-term vision to lead in artificial intelligence.
Industry observers note that integrating energy storage with data centre infrastructure is becoming a key trend, especially as AI workloads create fluctuating and intensive power requirements. Batteries can help stabilize energy supply, manage peak demand, and support the integration of renewable energy sources into data centre operations.
Overall, SoftBank’s plan to manufacture batteries underscores a strategic shift where technology companies are taking control of both computing and energy infrastructure. As competition intensifies in the AI space, such vertically integrated approaches are expected to play a crucial role in enabling scalable, efficient, and sustainable AI ecosystems.
