The Top 1% Mindset Behind The First $5 Trillion Company | Jensen Huang (Nvidia)

Jensen Huang and Nvidia

Evan Carmichael presents Jensen Huang’s career as a case study in building through uncertainty. Nvidia endured failed products, near-bankruptcy, and layoffs before its long-term investment in GPU computing and CUDA positioned it to serve the AI market. The video says Nvidia became the first company to reach a $5 trillion market value in October 2025.

Business playbooks and leadership lessons

• Use regret minimization to make high-stakes career decisions. Huang weighed a stable job against joining a startup by imagining what he would regret at age 80 or 85. He chose entrepreneurship because he would rather risk failure than wonder what might have happened.
• Act on a long-term market thesis, even before the market is obvious. Nvidia pursued graphics chips for PC gaming when the market was nascent and roughly 70 startups were competing. Board member Mark Stevens recalls Huang describing the opportunity as a “$0 billion market.”
• Be candid with customers and renegotiate when the product is wrong. When Nvidia realized its Sega console chip was based on the wrong design, Huang told Sega rather than delivering a product he believed would fail. He asked Sega to release Nvidia from its contract while still paying it.
• Focus the organization around a decisive, testable milestone. For the Riva 128, Huang told the team they had one tape-out—the final design submission to the factory. A second attempt would likely come too late to save the company.
• Make strategic investments before the payoff is clear. Nvidia spent more than $1 billion developing CUDA, despite weaker profits and shareholder pressure to focus on near-term profitability. It distributed CUDA through its gaming cards, helping put the software in the hands of more programmers.
• Treat adversity as part of the operating environment, not proof that the strategy is doomed. Huang’s repeated reminder to employees was that Nvidia was “30 days from going out of business.” The video frames this as a culture of urgency and resilience, not a guarantee of success.

Key milestones and metrics

• 1993: Nvidia was founded by Huang, Chris Malachowsky, and Curtis Priem, initially using $600 for legal setup. The company later raised $20 million from investors, including Sequoia Capital.
• Early product failures: The NV1 used a graphics approach incompatible with Microsoft’s DirectX standard, which required triangles. Nvidia’s subsequent Sega design also used the wrong approach.
• Sega’s support: Sega’s president, Soichiro Irimajiri, agreed to pay Nvidia $5 million, giving the company roughly six months to continue.
• 1996: Nvidia cut its workforce from about 100 to 40.
• 1997: The Riva 128 launched when Nvidia reportedly had about one month of payroll remaining. It sold roughly one million units in four months.
• 1999: Nvidia went public and released the GeForce 256, which the video describes as its first product sold as a GPU.
• 2007: CUDA launched. Its development cost more than $1 billion, and the investment initially weighed on profits.
• 2012: Researchers trained AlexNet using two Nvidia gaming cards costing about $500 each. The video says GPU-based training ran 10–100 times faster than the comparison approach described.
• 2016: Huang personally delivered Nvidia’s DGX-1 AI supercomputer to OpenAI.
• 2023–2025: Nvidia reached a $1 trillion market value in 2023, passed Microsoft and Apple in June 2024, and—according to the video—reached $5 trillion in October 2025.

Examples and recommendations

• Learn the product from first principles. The founders reportedly had never seen a PC before starting Nvidia, so they bought one and took it apart to understand how it worked.
• Build capability that can serve a future use case. CUDA began as an extension of graphics-card computing but later became useful for the parallel calculations central to AI. A professor at National Taiwan University also showed Huang a homemade supercomputer assembled from GeForce cards.
• Make difficult trade-offs to preserve the company’s chance of survival. Nvidia’s Sega payment bought time, but it did not eliminate the need to reduce costs; the company still laid off more than half its staff.
• Expect setbacks in ambitious ventures. The video’s core message is to keep learning and adapting during hard periods, while recognizing that persistence alone does not make every business decision successful.

Other stories in the video

The video briefly shifts to stories about Elon Musk and Jack Ma. Those sections emphasize persistence, risk-taking, and learning from failure. The Alibaba segment also highlights adapting to local customer needs through free listings and an escrow-style payment system.

Presenters and sources mentioned

Evan Carmichael is the presenter and narrator. The Nvidia segment features or cites Jensen Huang, Chris Malachowsky, Curtis Priem, Wilf Corrigan, Don Valentine, Soichiro Irimajiri, Mark Stevens, Dr. Chang, Andrew Ng, and Ian Goodfellow. The video also references Jeff Bezos’s regret-minimization framework and mentions Bill Gates and Steve Jobs in its introduction.

The later, separate segments cite Elon Musk, Eric Berger, Scott Pelley, and Jack Ma.