Nvidia CEO Jensen Huang shares his ‘only regret’ and it involves a Mercedes S-Class
Nvidia CEO Jensen Huang has shared a lighthearted incident at his early days as a founder, revealing that his “only regret” involves a luxury car which cost him a multibillion-dollar fortune and is now the “most expensive car in the world”. Speaking at the World Economic Forum at Davos on the rise of Nvidia, Huang recalled a moment from the company’s early days when the market capitalisation was relatively modest $300 million.
Jensen Huang ’s multi-million dollar Mercedes Benz S-Class
At the time, wanting to make his parents’ happy, Huang sold a portion of his Nvidia holdings to purchase a high-end Mercedes-Benz S-Class. Huang jokingly called its the ‘most expensive vehicle in the word’.“My only regret was selling $NVDA stock when the market cap was $300 million to buy my parents a Mercedes S-Class,” Huang said with a laugh. “It’s the most expensive car in the world now.”Nvidia’s market cap has soared past $4 trillion, which means the stock he sold to buy that Mercedes would be worth billions of dollars at today’s share price.
Jensen Huang calls AI ‘a five-layer cake’
At a packed mainstage session, Huang described artificial intelligence (AI) as the foundation of what he called “the largest infrastructure buildout in human history” that will drive job creation across the global economy. He said that AI is not as a single technology but a “five-layer cake” that includes energy, chips and computing infrastructure, cloud data centres, AI models and the application layer.Since every layer of AI’s five-layer stack must be built and operated, Huang said the platform shift is creating jobs across the economy — from energy and construction to advanced manufacturing, cloud operations and application development.“This layer on top, ultimately, is where economic benefit will happen,” Huang said. From energy and power generation to chip manufacturing, data center construction and cloud operations, Huang said the AI buildout is already creating demand for skilled labor.
