SoftBank shares edged slightly higher after unveiling an ambitious new battery strategy aimed at solving one of the biggest bottlenecks in artificial intelligence growth, energy supply.
The company’s push into gigawatt-scale, non-flammable battery systems signals a broader shift where AI competition is no longer just about chips and models, but also about power infrastructure and energy security.
SoftBank’s latest initiative comes as global AI expansion continues to strain electricity grids and data center capacity. The company is targeting rising energy demand tied directly to AI infrastructure, which requires massive and stable power sources to operate advanced computing systems.
Instead of relying on traditional energy storage solutions, SoftBank is investing in next-generation battery systems designed specifically for large-scale AI data centers. The move reflects a growing realization across the tech industry: AI progress is increasingly limited by energy availability rather than computing power alone.
At the center of SoftBank’s strategy is a collaboration with COSMOS LAB to develop zinc-halogen batteries. These batteries use pure water as an electrolyte, significantly reducing fire risk compared to conventional lithium-ion systems.
The chemistry also avoids lithium and cobalt, materials that are not only expensive but also tied to concentrated global supply chains. By moving away from these dependencies, SoftBank is positioning itself for greater resilience and cost control in the long term.
SoftBank’s mobile unit said it plans to begin large-scale battery cell manufacturing at its Sakai, Osaka plant to address growing power demand for AI services https://t.co/32bP0j5PRl
— Bloomberg (@business) May 11, 2026
Industry observers see this as part of a broader effort to de-risk infrastructure tied to AI expansion, especially as data center demand accelerates globally.
SoftBank is not building this ecosystem in isolation. The company is also working with DeltaX to develop energy storage systems using advanced Cell-to-Pack technology. This design improves energy density while reducing structural inefficiencies in large battery systems.
The plan includes deployment at major AI-focused data centers, including upcoming facilities in Sakai City, Osaka Prefecture. These installations are expected to undergo performance testing before moving into full-scale production.
SoftBank is reportedly targeting pilot testing ahead of a broader rollout timeline around 2027, with long-term capacity ambitions reaching 1 gigawatt-hour by 2030.
The shift highlights a broader transformation in the AI economy: energy storage is becoming as strategically important as semiconductors. As AI workloads grow, traditional power grids are struggling to keep pace, forcing companies to build independent and optimized energy ecosystems.
SoftBank’s internal strategy reflects this change. The company has identified next-generation battery development as a way to stabilize energy costs while reducing exposure to supply chain disruptions and electricity price volatility.
However, the competitive landscape remains challenging. Chinese battery manufacturers continue to dominate global production at scale, while newer technologies like zinc-halogen systems are still in early stages of commercialization.
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