SoftBank Eyes $100 Billion Investment in OpenAI, Aims to Lead AI Infrastructure Revolution

January 28, 2026
SoftBank Eyes $100 Billion Investment in OpenAI, Aims to Lead AI Infrastructure Revolution
  • SoftBank currently owns roughly 11% of OpenAI after a $22.5 billion investment late last year, making it one of the company’s largest shareholders.

  • Industry observers see this possible round as a major shift in AI finance, signaling a trend toward mega-rounds and secured compute capacity.

  • The broader context includes a rising macro and geopolitical backdrop and the potential spillover effects on markets and AI crypto assets as capital concentrates around infrastructure-heavy AI bets.

  • If realized, the round would be among the largest in corporate history, reflecting unprecedented capital flowing into AI compute, talent, and leadership.

  • The strategic aim is for SoftBank to lead in AI infrastructure, backing data centers and projects like Stargate and DigitalBridge to boost OpenAI's compute power.

  • Analysts highlight pressure from rivals like Google DeepMind and Anthropic, while SoftBank’s leadership frames AI as a transformative force across industries.

  • The market reacted positively to the reports, with SoftBank’s stock rising measurably in Tokyo on the news.

  • OpenAI’s valuation and funding trajectory remain closely watched, given revenue growth, high compute needs, and the broader capital dynamics around AI infrastructure.

  • SoftBank is negotiating a fresh, multi-billion-dollar investment in OpenAI, aiming to participate in a round that could total up to $100 billion for the AI leader.

  • Negotiations are ongoing and terms could change as discussions proceed, with neither SoftBank nor OpenAI commenting publicly yet.

  • OpenAI faces rising training and operating costs amid growing competition, underscoring why a mega-round could be pivotal for sustaining growth and leadership.

  • Prism, OpenAI’s free scientific tool built on GPT-5.2, underscores the company’s push to embed AI into scientific workflows rather than replace researchers.

Summary based on 18 sources


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