Long before Jensen Huang became one of the world's richest technology entrepreneurs, he was washing dishes and waiting tables at a Denny's restaurant in the US. The experience taught him the value of hard work, discipline and dealing with people. Decades later, those qualities would help him build one of the most influential companies in modern technology.
Huang, 63, eventually became the public face of the artificial intelligence revolution. His trademark black leather jacket, technical expertise and ability to explain complex technologies made him a celebrity among investors, technology executives and political leaders.
Yet his extraordinary career at Nvidia came to an abrupt end on November 12, following revelations about extramarital relationships, including one involving a woman suspected by US authorities of links to Chinese intelligence.
Born in Taiwan in 1963, Huang was the son of a chemical engineer and a schoolteacher. After spending part of his childhood in Thailand, he moved to the US at the age of 10.
His early experiences included an unusual spell at a Kentucky institution for troubled children, where he had been mistakenly enrolled. He later attended high school in Oregon and developed a strong interest in engineering and computers.
Huang graduated in electrical engineering from Oregon State University in 1984. He subsequently earned a master's degree from Stanford University in 1992.
In 1993, he joined fellow engineers Chris Malachowsky and Curtis Priem to establish Nvidia. The three discussed their business idea at a Denny's restaurant, bringing Huang's journey back to the place where he had once worked.
The company initially concentrated on graphics chips for personal computers, particularly those used for video games. Few could have imagined that this business would eventually become central to the global AI industry.
Nvidia's breakthrough came from graphics processing units, or GPUs. Originally developed to handle complex graphics in computer games, these processors were capable of performing thousands of calculations simultaneously.
That capability proved particularly valuable for artificial intelligence, which requires enormous computing power to process information and train sophisticated models.
In 1999, Nvidia introduced the GeForce 256, widely regarded as the first GPU. The company subsequently developed CUDA, a software platform that allowed programmers and researchers to use Nvidia processors for applications beyond graphics.
A defining moment arrived in 2012, when researchers at the University of Toronto used Nvidia GPUs to develop AlexNet, a neural network that demonstrated the potential of deep learning.
Nvidia had positioned itself for a technological shift long before artificial intelligence became a mainstream investment theme. When OpenAI launched ChatGPT in November 2022, demand for the computing infrastructure needed to develop and operate AI systems accelerated dramatically.
Nvidia emerged as a major beneficiary. Its processors, networking technology and software ecosystem became essential components of AI data centres.
Nvidia's market value crossed $1 trillion in May 2023, barely six months after ChatGPT's launch. Its extraordinary growth continued, with the company becoming the first publicly traded business to reach a valuation of $5 trillion in October 2025. The surge reflected enormous investments by technology companies in AI infrastructure.
Huang's personal wealth rose alongside Nvidia's valuation. His approximately 3.6% stake in the company helped build a fortune estimated at around $145 billion by Bloomberg.
However, his influence extended well beyond wealth. Technology executives sought his support, investors followed his presentations closely, and governments competed to attract Nvidia's investment and expertise.
His relationship with US President Donald Trump also highlighted Nvidia's importance to American technology policy and the increasingly sensitive debate over advanced semiconductor exports to China.
The controversy surrounding Huang intensified after reports emerged about his relationship with Alice Huang, a businesswoman suspected by US authorities of involvement in Chinese intelligence activities.
Reports of additional relationships involving Nvidia employees increased pressure on the company's leadership. Huang publicly acknowledged marital infidelity, while Nvidia initiated an independent investigation into concerns that he might have been targeted by a foreign intelligence operation.
However, the espionage allegations remain unproven. The existence of a personal relationship does not, by itself, establish wrongdoing involving confidential information or technology exports.
The crisis nevertheless raised serious questions about corporate governance, national security and potential conflicts of interest at a company central to America's AI ambitions.
Investors reacted sharply to the leadership crisis. Nvidia shares initially plunged following the announcement before recovering some losses. The stock finished November 12 down 4.3%.
The market reaction reflects a larger concern: Huang was not merely Nvidia's chief executive but also its principal technology strategist, public ambassador and a driving force behind its corporate culture. His departure creates uncertainty over the company's leadership succession, relations with Washington and future strategy towards China.
Nvidia's competitive advantages remain substantial. Its advanced processors, CUDA ecosystem, networking capabilities and relationships with major cloud computing companies are institutional strengths rather than assets belonging to one executive.
The immediate challenge is to reassure customers and investors that Nvidia can maintain its technological leadership without its founder at the helm.
Huang's rise from washing dishes to leading a multitrillion-dollar company remains one of Silicon Valley's most remarkable entrepreneurial stories.
His departure, however, exposes the risks that arise when a company's identity becomes inseparable from that of its founder.
For Nvidia, the central question is no longer simply how fast artificial intelligence will grow. It is whether the company can sustain its dominance, preserve investor confidence and navigate increasing geopolitical scrutiny without the man who shaped its strategy for more than three decades.
Huang helped transform Nvidia from a graphics-chip manufacturer into the backbone of the global AI industry. His exit marks the end of an extraordinary leadership era, but the next chapter will determine whether Nvidia's success was built around one exceptional individual or an organisation capable of thriving without him.
