Cloud & Compute
Jensen Huang
Co-founder, President and CEO, Nvidia Corporation
Turned a graphics-chip maker into the picks-and-shovels supplier of the AI era.
Score 98/100
Why they’re on the list
Nvidia's chips underpin the vast majority of AI training and inference workloads worldwide, making Huang the most influential single gatekeeper of global compute capacity. His strategic bets on parallel computing reshaped how data infrastructure is built.
Jensen Huang is the co-founder, president and chief executive of Nvidia, the semiconductor company whose graphics processing units have become the foundational hardware of modern artificial intelligence and, by extension, of most large-scale data infrastructure built in the past decade. Born in Taipei in 1963, Huang emigrated to the United States as a child, eventually settling in Oregon, where he studied electrical engineering at Oregon State University before earning a master's degree at Stanford University.
Before founding Nvidia in 1993 with Chris Malachowsky and Curtis Priem, Huang worked as a chip designer at AMD and LSI Logic. Nvidia began as a maker of graphics chips for video games, but under Huang's direction it steadily broadened its ambitions, betting early and repeatedly that parallel computing architectures originally built for rendering pixels would prove far more widely useful. That bet paid off first in scientific computing and cryptocurrency mining, and then, decisively, in deep learning, where Nvidia's GPUs became the default substrate for training and running neural networks.
The rise of generative AI from 2022 onward turned that positioning into extraordinary commercial and strategic power. Nvidia's data-centre GPUs, high-speed interconnects and CUDA software platform now sit at the centre of the buildout of AI infrastructure by every major cloud provider, sovereign AI initiative and frontier AI lab, making Huang arguably the single most consequential figure in determining how much computing capacity the world's data economy can actually deploy. Nvidia's market capitalisation crossed three trillion dollars in 2024 and five trillion in 2025, milestones achieved faster than any company in history.
Huang is known for an unusually flat management structure, with dozens of direct reports and a preference for rapid, informal decision-making over formal hierarchy, alongside a highly public role as the industry's most visible evangelist for accelerated computing, frequently delivering keynote addresses that double as roadmaps for where AI infrastructure is heading. He has also become a geopolitical figure of sorts, navigating US export controls on advanced chips to China while expanding Nvidia's footprint in sovereign AI projects worldwide.
Beyond Nvidia, Huang and his wife Lori established a family foundation supporting education and Parkinson's disease research, and he has received numerous honours including a Time 'Person of the Year' recognition as part of the magazine's 2025 'Architects of AI' feature. His continued stewardship of Nvidia, now valued among the world's largest companies, keeps him at the centre of decisions about compute supply that ripple through every layer of the global data and AI stack.
Career timeline
- 1984Graduates from Oregon State University with a BS in Electrical Engineering
- 1992Earns MS in Electrical Engineering from Stanford University
- 1993Co-founds Nvidia with Chris Malachowsky and Curtis Priem
- 1999Nvidia goes public on Nasdaq
- 2006Launches CUDA, opening Nvidia GPUs to general-purpose parallel computing
- 2024Nvidia becomes the first chipmaker to reach a $3 trillion market capitalisation
- 2025Nvidia becomes the first company to reach a $5 trillion valuation; named Time 'Person of the Year' co-honouree