
Nvidia Corp. CEO Jensen Huang is set to take the stage at the company’s flagship GTC conference on Monday, with investors closely watching whether the AI leader can address Wall Street’s growing “wall of worry” that growth could slow after the current boom in AI spending.
NVDA stock slipped for the second straight session on Friday, ending nearly 2% lower at $180.25. However, shares are up over 1% in overnight trading on Monday.
Deepwater Asset Management co-founder Gene Munster said Huang will likely reiterate that demand for AI infrastructure remains stronger than investors expected, even as the market grows increasingly focused on growth beyond 2026. He said the bigger challenge for Nvidia shares is a growing “wall of worry” among investors that growth could slow in 2027.
“The stock has a bigger challenge than a read on the next six months,” Munster said, pointing to concerns that the rapid expansion of AI spending could moderate in the coming years. He expects Huang to highlight that AI's utility has reached an “inflection point,” reinforcing Nvidia’s view that demand for AI infrastructure is still accelerating.
At this year’s GTC, the annual developer conference in San Jose where Nvidia typically unveils new chips and AI platforms, Munster expects Nvidia to expand on the role of its Rubin architecture, which will improve the economics of inference as companies deploy AI models at scale.
Specifically, investors will be listening for discussion around cost per token, throughput and performance per watt, metrics that could shape how the industry thinks about inference infrastructure, Munster said. Huang is expected to carry forward the message from Nvidia’s recent earnings call that “Rubin is inference, it’s profitable for customers and we’re just getting started.”
Dan Ives, managing director at Wedbush Securities, said on X that the market will also be looking for signals on AI demand, comments around the supply chain and timing for the Vera Rubin platform shipments. He expects “a very bullish update around enterprise AI demand for NVDA.”
Patrick Moorhead, chief analyst at Moor Insights & Strategy, said GTC could also reinforce Nvidia’s shift from a semiconductor company to a broader AI infrastructure platform.
“Nvidia is no longer a chip company,” Moorhead said, saying the company is positioning itself as a full-stack heterogeneous AI infrastructure platform spanning training, inference and orchestration. He added that the company’s growing backlog for next-generation systems gives Nvidia unusually strong demand visibility.
“The scale of the moment is hard to overstate,” Moorhead said, noting that hyperscaler AI spending is expected to exceed $600 billion by this year.
The Futurum Group CEO Daniel Newman said the conference will likely highlight several structural shifts shaping the next stage of AI development. He will be watching closely for updates around inference infrastructure, enterprise AI agents, energy constraints and Nvidia’s software ecosystem.
“The economics of AI in production will define this cycle,” Newman said on X, adding that “token generation is the new unit of computing.” He also said Nvidia’s strategy increasingly revolves around owning the infrastructure layer powering AI systems.
On Stocktwits, retail sentiment for NVDA shifted to ‘bearish’ from ‘neutral’ over the past month amid an 80% decline in message volumes over the same period.
One user said, “GTC will send this to $200+.”
Another user said, “New products and update on the future of AI. Buy and hold imo.”
NVDA stock has jumped 56% over the past year.
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