OpenAI Gets $100 Billion From Nvidia: Strategic Bet or Risky Play?

OpenAI Overview

OpenAI was founded in 2015 by Sam Altman, Elon Musk, and four other co-founders with the mission of building Artificial General Intelligence (AGI) that benefits humanity. The company has always kept its teams lean but highly impactful — just 20–25 people in 2016, and around 300 by the time ChatGPT launched in 2022. ChatGPT became a cultural phenomenon, reaching one million users in only five days, the fastest adoption curve in consumer tech history. By 2025, OpenAI has grown to more than 700 million weekly active users.

OpenAI’s Connection to Nvidia

The relationship between OpenAI and Nvidia runs deep. In 2016, Nvidia CEO Jensen Huang personally delivered one of the first DGX supercomputers to OpenAI, helping accelerate its research. At that time, Nvidia declined an opportunity to take an equity position in OpenAI — according to Huang, the company didn’t have the financial flexibility.

Still, the partnership shaped Nvidia’s trajectory. Collaborations with OpenAI gave Nvidia insight into the compute demands of frontier AI, reinforcing its decision to double down on datacenter hardware. That confidence led to transformative moves like the $7 billion acquisition of Mellanox, which cemented Nvidia’s dominance in GPU interconnects. Today, Nvidia’s valuation has soared past $4.5 trillion, with a moat in AI infrastructure that looks nearly untouchable.

Could Nvidia Have Invested Earlier?

On paper, investing early in OpenAI looks like an obvious win. But the timing made it tricky:

• Until 2019, OpenAI operated as a nonprofit, making equity investment impossible.
• Nvidia wanted to remain a neutral enabler for all AI developers; owning a stake in OpenAI could have alienated other customers.
• Instead, Nvidia put its capital into ecosystem plays — Mellanox, Run:AI, and others — that strengthened its datacenter stack and reinforced its position as the backbone of the AI revolution.

In hindsight, avoiding an equity stake in OpenAI allowed Nvidia to scale its platform without being seen as favoring a single player.

Why Nvidia Is Investing Now

Several dynamics have changed:

• Chip independence: OpenAI has been exploring custom silicon with Broadcom to reduce dependence on Nvidia GPUs. A large Nvidia investment ties OpenAI closer to Nvidia’s hardware.
• Ecosystem defense: With competitors trying to replicate Nvidia’s stack (e.g., UALink interconnects, Broadcom Tomahawk or Marvell Teralynx switches), Nvidia is doubling down to keep OpenAI firmly inside its ecosystem.
• Belief in OpenAI’s upside: Nvidia sees OpenAI as a future multi-trillion-dollar company. Even within the capped-profit structure, a $100 billion commitment could theoretically return up to $10 trillion.
• Strategic lock-in: The deal ensures OpenAI will continue buying Nvidia GPUs at scale, keeping Nvidia’s datacenter dominance intact.

Final Take

Some critics dismiss the $100 billion outlay as financial engineering to pad Nvidia’s revenue. But the reality is far more strategic. This move isn’t about chasing short-term numbers — it’s about anchoring Nvidia’s role at the very center of the AI economy, ensuring that as OpenAI grows into one of the most valuable companies on earth, it will do so on Nvidia’s hardware.

Nvidia’s bet on OpenAI is less about speculative returns and more about securing the future of its ecosystem. It’s not a gamble — it’s a power play to stay indispensable in the age of AGI.