Nvidia is close to investing about $20 billion in OpenAI as part of the ChatGPT maker's latest funding round, Reuters reported on February 4, 2026. The deal, still not final, would be Nvidia's largest-ever single investment and part of an OpenAI raise that could reach $100 billion.
This article aggregates reporting from 4 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
If this deal closes anywhere near the reported numbers, it would be one of the most consequential capital allocations in the history of AI. A US$20 billion equity injection from Nvidia into OpenAI would formalize an already tight supply–demand loop: OpenAI as a flagship buyer of Nvidia’s highest‑end GPUs, and Nvidia as both arms dealer and strategic shareholder in the leading frontier‑model lab. That deep alignment makes it harder for cloud and chip rivals to pry OpenAI away with better economics alone.
Strategically, the rumored round signals that the capital intensity of frontier models is still climbing. A US$100 billion raise would give OpenAI unprecedented firepower to build data centers, commission new GPU generations, and fund multi‑year research bets that smaller labs simply can’t match. It also pulls more of the AI stack into the gravitational field of a handful of hyperscale players and their preferred hardware vendors.
For the broader race to AGI, the implication is consolidation: fewer, richer actors running ever larger experiments, with complex interdependencies among chipmakers, cloud providers, and model labs. That concentration could speed technical progress, but at the cost of resilience and bargaining power for everyone else in the ecosystem.


