SoftBank Group has finished wiring its full $40 billion investment into OpenAI, according to a Reuters report on December 30, 2025. The funding, originally agreed in March, cements one of the largest private capital raises in history and deepens Masayoshi Son’s bet on AI infrastructure and models.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
SoftBank finishing its $40 billion investment into OpenAI effectively locks in the biggest single-capital bet anyone has made on a private AI lab. This isn’t just another funding round; it’s the cash backbone for multi‑year compute build‑outs like the Stargate data‑center project and for training successors to today’s frontier models at much larger scales. ([reuters.com](https://www.reuters.com/business/media-telecom/softbank-has-fully-funded-its-40-billion-investment-openai-cnbc-reports-2025-12-30/))
Strategically, the deal signals that OpenAI is now treated more like critical infrastructure than a typical high‑growth startup. With SoftBank syndicating a portion of the raise yet still wiring tens of billions itself, the company positions OpenAI as a central node in a wider ecosystem of chips, data centers, and telecom assets SoftBank is assembling. For the rest of the field—Anthropic, Google DeepMind, Meta, xAI—this raises the stakes: any serious challenger now has to match not just model quality but also the war chest and dedicated infrastructure OpenAI can draw on.
The competitive implication is a more capital‑intensive, less forgiving race. Access to frontier compute becomes even more tightly coupled to a handful of capital allocators. That may accelerate technical progress, but it also hardens the moat around OpenAI and amplifies dependence on a single strategic investor whose incentives are fundamentally financial.