Jensen Huang, the 62-year-old founder and CEO of Nvidia, has become the most powerful person in artificial intelligence without writing a single algorithm or signing a major AI contract. Instead, he controls the single gateway that every major AI company must pass through: the chips required to train and run artificial intelligence models. His dominance is so complete that without Nvidia's technology, there would be no OpenAI, no Google DeepMind, no Anthropic, and no DeepSeek.

Why Does Huang Control the AI Industry's Future?

Huang co-founded Nvidia in 1993 with just $40,000 in capital, betting everything on an unproven graphics processing unit (GPU) called the RIVA 128 when the company was a month away from bankruptcy in 1996. What no one anticipated was that chips designed for video games would become the perfect infrastructure for training artificial intelligence models. By the time the world realized this opportunity, Nvidia was already worth $3 billion, and Huang had tattooed the company's logo on his left shoulder as a symbol of his commitment.

Today, Nvidia's CUDA architecture is two decades ahead of any competitor. This technological moat means that every chatbot, language model, and AI system the world knows has been trained on Nvidia's silicon chips. The company's market value has soared to approximately $5.2 trillion, making it the most valuable business in the world. Huang's influence extends far beyond the boardroom; in 2026, he was appointed to the U.S. President's Council of Advisors on Science and Technology, and major financial magazines have named him the best CEO in the world.

The black leather jacket Huang wears at every presentation has become a symbol of power in the tech industry, much like Steve Jobs's turtleneck sweater once was. Yet unlike Jobs, Huang doesn't design products or sign the contracts that define the industry. He simply controls the infrastructure everyone needs.

How Is Huang Expanding Nvidia's Influence Beyond Chips?

Recognizing that chip dominance alone isn't enough to secure Nvidia's future, Huang has orchestrated an aggressive investment strategy that puts cash into companies across the entire AI infrastructure stack. This approach ensures that the companies buying Nvidia's chips have the resources to do so, while also creating a circular ecosystem where Nvidia profits from multiple angles.

In 2026 alone, Nvidia has already committed over $40 billion to equity investments, with the pace accelerating dramatically. The company's largest single bet was a $30 billion investment in OpenAI in late February, though Huang indicated this might be the last major check before OpenAI's potential initial public offering (IPO) later this year. Beyond OpenAI, Nvidia has made significant investments across the AI supply chain.

• Data Center Infrastructure: Nvidia agreed to invest up to $2.1 billion in IREN, a data center operator, as part of an agreement where IREN will deploy up to 5 gigawatts of Nvidia's DSX-branded infrastructure designs for AI workloads globally.
• Component Manufacturing: Nvidia invested $3.2 billion in Corning, the 175-year-old glass maker, to build three new U.S. facilities dedicated to optical technologies for fiber-optic cables that Nvidia needs for its rack-scale systems.
• Photonics Technology: In March 2026, Nvidia invested $2 billion each in Marvell Technology, Lumentum, and Coherent to accelerate development of silicon photonics technology critical to its infrastructure.
• Cloud Infrastructure Companies: Nvidia invested $2 billion in CoreWeave and $2 billion in Nebius Group, both AI cloud companies, as part of agreements on AI infrastructure deployment and fleet management.

This investment strategy has proven extraordinarily profitable. Nvidia's $5 billion bet on Intel is now worth over $25 billion, a historic return achieved in just a matter of months. During the last fiscal year, Nvidia invested $17.5 billion in private companies and infrastructure funds, primarily to support early-stage startups. The company's non-marketable equity securities (private company investments) on its balance sheet swelled to $22.25 billion at the end of January 2026, up from $3.39 billion a year earlier.

"Our investments are focused very squarely, strategically on expanding and deepening our ecosystem reach," said Jensen Huang during Nvidia's last earnings call in February.

Jensen Huang, CEO at Nvidia

What Are Analysts Saying About Nvidia's Strategy?

Wall Street observers are divided on whether Huang's investment approach represents visionary ecosystem building or a concerning bubble similar to the dot-com era. Matthew Bryson, an analyst at Wedbush Securities, noted that Nvidia's investments fit "squarely into the circular investment theme" that has driven fears about market durability. However, Bryson sees the investments as underscoring Nvidia's vision and creating a "competitive moat" if the company can execute successfully.

Wall Street

Some analysts are more skeptical. Jordan Klein at Mizuho called the deals with component makers "super smart" because they accelerate development of critical technologies in short supply. However, Klein expressed concern about the neocloud investments, saying they "feel more questionable" and "smell like you are pre-funding the purchase of your own GPUs and products." Ben Bajarin at Creative Strategies raised a similar concern about the IREN deal, warning that "if the cycle turns, the market starts questioning how much of the demand was organic versus supported by Nvidia's own balance sheet".

Klein

Despite these concerns, Huang has been explicit about his rationale. During an April podcast appearance, he stated that Nvidia tries to invest in all major foundation model companies because there are "so many great, amazing foundation model companies" and Nvidia doesn't pick winners but rather tries to "support everyone".

How Does Huang's Power Compare to Other Tech Leaders?

At the Milken Institute Global Conference in May 2026, Huang's influence became starkly apparent. When he delivered a fireside chat at 5 p.m. on Monday, event staff had to close the doors on the full-to-capacity session, yet a long lineup still snaked through the Beverly Hilton's lobby unable to get in. This rush to hear from Huang, who sits at the coal face of the AI revolution, demonstrated the hunger among CEOs and investors to understand what may be coming next.

During his presentation, Huang emphasized both the opportunity and his concerns about AI adoption. "Everybody should have AI. It empowers them, it lifts them, it elevates them, it gives them superpowers," he said. However, he also acknowledged a critical risk: "My greatest concern is that we scare all the people that we're telling these science fiction stories to, to the point where AI is so unpopular in the United States, or people are so afraid of it, they don't actually engage it." He also delivered a sobering reality check, stating plainly that "everybody's job will be impacted".

Huang

"Everybody should have AI. It empowers them, it lifts them, it elevates them, it gives them superpowers," Huang said at the Milken conference, before adding that his greatest concern is scaring people away from AI adoption.

Jensen Huang, CEO at Nvidia

What distinguishes Huang from other tech leaders is that his power doesn't depend on owning a platform like Facebook, controlling search like Google, or running a cloud service like Amazon. Instead, his influence flows from controlling the fundamental infrastructure layer that all AI companies depend on. As one analysis noted, "no one in the history of technology has had so much power over an industry without having any direct involvement in it". Huang doesn't write the algorithms, sign the major contracts, or make the strategic decisions about AI development. He simply controls the single gateway everyone needs to use.

This structural advantage has made Huang arguably the most influential figure in artificial intelligence, surpassing even the founders of major AI labs and the venture capitalists funding them. While Elon Musk and Sam Altman dominate headlines with their public disputes and bold statements, Huang quietly shapes the entire industry's trajectory through his control of essential technology and his strategic investments across the AI ecosystem.