When Nvidia’s CEO Jensen Huang presented his annual GTC keynote on Monday, the stock of the $4-trillion corporation began to decline.

It appears Wall Street investors were not swayed by the founder’s optimistic 2.5-hour presentation while dressed in a leather jacket. Instead, they seemed more concerned about the ambiguous future of AI and the potential for a market bubble. The anxiety expressed by Wall Street stands in stark contrast to the vibrant atmosphere in Silicon Valley, where confidence thrives.

Huang spent over two hours discussing the company’s recent advancements, including innovations in video game graphics technology, upgraded networking systems, agreements in the autonomous vehicle sector, and a newly designed chip in collaboration with Groq to enhance AI inference in the Vera Rubin system. He also shared staggering figures regarding Nvidia’s operations and the broader industry. Huang labeled the AI agent ecosystem as a $35 trillion market and designated the physical AI and robotics sector as a $50 trillion market.

He further indicated his expectation of seeing $1 trillion in purchase orders for the company’s Blackwell and Vera Rubin chips — just two among Nvidia’s extensive product lineup — by the end of 2027.

Shouldn’t this be exciting for investors? It’s not surprising that they aren’t, according to Futurum CEO Daniel Neuman who spoke with TechCrunch.

A significant new uncertainty

“[AI] is remarkably effective, transformational, and advancing rapidly, to the point where we don’t truly comprehend its implications for our societal constructs,” Neuman stated. “The markets despise uncertainty. The pace of innovation has introduced a considerable new uncertainty that I believe most individuals did not anticipate.”

Some of this uncertainty arises from misleading information circulating in the market, Neuman noted, adding that reports about low enterprise AI adoption do not reflect the complete reality — at least, not according to his discussions.

“Enterprise AI adoption is poised to hit a tipping point and scale up rapidly,” Neuman said. “I genuinely believe it’s already happening. When you argue it isn’t, I think what you’re likely indicating is that the [return on investment] and the outcomes remain somewhat unclear, and companies are referring to surveys and reports that are primarily based on data that is six months old. It simply takes time to compile the data.”

This viewpoint is supported when examining Nvidia’s past quarter figures. While businesses might not be advertising their AI ROI, they are increasingly investing in Nvidia’s technology. The company not only meets but exceeds its ambitious targets and quarterly projections. Nvidia’s revenue soared by 73% year-over-year last quarter.

There’s no indication this will change anytime soon as evidenced by Nvidia confirming this week that Amazon intends to order 1 million GPUs, along with additional AI infrastructure, by the end of 2027 for Amazon Web Services (AWS), as reported by Reuters.

Kevin Cook, a senior equity strategist at Zacks Investment Research, concurred with Neuman and humorously mentioned to TechCrunch that investor discontent does not alter the fact that the overall stock market relies heavily on Nvidia since its technology supports many of these enterprises.

“The economy is somewhat revolving around Nvidia,” Cook remarked. “It’s establishing this essential infrastructure. Various companies in hardware, software, and physical AI — even Caterpillar is now part of physical AI — are developing upon these platforms.”

This doesn’t imply that an AI bubble does not currently exist or couldn’t arise in the future. However, although GTC may not have positively impacted Nvidia’s stock, the overall uncertainty doesn’t appear to be a challenge for Nvidia. The company is clearly advancing relentlessly, propelling much of the global economy along with it.

“Nvidia, as you know, is a platform company,” Huang stated during his GTC keynote. “We possess technology. We have our platforms. We have a vibrant ecosystem, and today there are probably 100% of the $100 trillion dollars of industry represented here.