Fubotv earnings beat by $0.10, revenue topped estimates
Investing.com -- Nvidia (NASDAQ:NVDA) has closed with a market value of over $4 trillion for the first time on Thursday, cementing the AI chipmaker’s status as the world’s most valuable company.
Shares of Nvidia finished the trading session up 0.75% at $164.10, giving the company a market capitalization of $4.004 trillion. The achievement comes amid continued strong demand for artificial-intelligence technologies that power Nvidia’s business. Shares are now up 89% from their lows in April, caused by tariff fears.
This marks the first time Nvidia has officially closed a trading day above the $4 trillion threshold, though the company’s market value had briefly exceeded this level during Wednesday’s session before settling at approximately $3.97 trillion at the close. It is the first company ever to hit the new mark and now close above it.
"We reinvented computing for the first time since the 60s, since IBM (NYSE:IBM) introduced the modern computer architecture," Nvidia CEO Jensen Huang said today on MSNBC’s Morning Joe, discussing the milestone. "And over the last 33 years, we’ve been working on reinventing computing. And the last five years, it really took off."
Huang spoke candidly today about the rapid progress in AI, emphasizing a new capability: reasoning. “It’s able to think,” he said. “Before it was able to understand…generate content. But now it can reason…do research…it can solve problems that it has never been trained to solve.”
He likened this leap to the birth of a new industry, calling it the first since the invention of the power grid. “We invented, essentially, a new industry for the first time in 300 years,” Huang said. “That last industry was power generation. Now, we have an industry that generates intelligence.”
This new era, he explained, will reshape work. “Many jobs will be automated…but it’s going to create new work. It’s going to create new jobs.” He pointed out that AI is already creating demand for electricians, construction workers, and network technicians to support the infrastructure behind “AI factories.”
Huang also pushed back on fears around AI’s opacity. “There’s a lot less mystery,” he said. “It’s hard to build something you don’t understand.” A major step forward, in his view, is AI’s ability to conduct real research. He described giving his own AI assistants papers and documents, then asking questions after they’ve read them. “It would become an expert in that research area,” he said.
He even fact-checks across models: “I use Perplexity, I use Gemini Pro, I use ChatGPT. I ask them to do the same research, and then compare the answers. That’s how I reduce fake information.”
Beyond automation, Huang emphasized AI as a force for democratization. “AI is the great equalizer,” he said. “A young person connected to AI…becomes incredibly good.” Whether it’s programming, research, or medicine, “everybody just became better because they have the benefit of AI.”
He closed on a hopeful note about America’s future: “We’re reindustrializing the United States…building AI factories. We need trade schools. We need skilled labor. And we need to celebrate this new industry.”