Nvidia GTC 2026: Can Jensen Huang Break Through Investor ‘Wall Of Worry’? What Analysts Are Watching For Today

Analysts expect Nvidia to highlight its Rubin architecture and discuss metrics such as cost per token and throughput.
Nvidia President and CEO Jensen Huang speaks to the media during the Nvidia GTC at the Walter E. Washington Convention Center on October 28, 2025 in Washington, DC. (Photo by Anna Moneymaker/Getty Images)
Nvidia President and CEO Jensen Huang speaks to the media during the Nvidia GTC at the Walter E. Washington Convention Center on October 28, 2025 in Washington, DC. (Photo by Anna Moneymaker/Getty Images)
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Deepti Sri·Stocktwits
Published Mar 16, 2026   |   3:07 AM EDT
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  • Deepwater’s Gene Munster said Nvidia will likely emphasize that AI demand remains strong and that the technology has reached an “inflection point.”
  • Analysts also expect Nvidia to reinforce its push toward becoming a full-stack AI infrastructure platform.
  • Wedbush’s Dan Ives said investors will look for updates on enterprise AI demand, supply chain conditions and the timing of Vera Rubin platform shipments.

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.

Wall Street’s ‘Wall Of Worry’ On Nvidia Growth

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.

Nvidia’s Rubin And AI Demand In Focus

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.”

Nvidia’s Full Stack AI Ambitions

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.

Next Phase Of AI Infrastructure

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.

How Did Stocktwits Users React?

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.

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NVDA sentiment and message volume as of March 16 | Source: Stocktwits

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. 

For updates and corrections, email newsroom[at]stocktwits[dot]com.

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