Prediction: Nvidia Stock Will Soar to This Price in 2026 as the AI Boom Expands From Data Centers to Robotaxis

Source Motley_fool

Key Points

  • Wall Street's most bullish analyst expects Nvidia stock to increase to $352 per share (implying 83% upside), while the most bearish analyst expects the stock to fall to $140 per share (implying 27% downside).

  • Nvidia develops the hardware and software needed to support artificial intelligence (AI) workloads in data centers and autonomous machines (like robotaxis); that full-stack strategy affords the company an important competitive advantage.

  • Wall Street expects Nvidia's earnings to grow at 37% annually during the next three years, which makes the current valuation of 47 times earnings look reasonable, especially when analysts tend to underestimate AI spending.

  • 10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) shares have advanced 1,200% since January 2023, when viral adoption of ChatGPT led to intense excitement among investors.

Before sharing my prediction about where Nvidia stock will trade in December 2026, I want to discuss the most bullish and bearish forecasts among Wall Street analysts:

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  • At the bullish extreme, Mark Lipacis at Evercore recommends buying Nvidia. His target price of $352 per share implies 83% upside from the current share price of $192.
  • At the bearish extreme, Jay Goldberg at Seaport Research recommends selling Nvidia. His target price of $140 per share implies 27% downside from the current share price.

Here's what investors should know.

An upward-rising green arrow shown atop a stylized version of the $100 bill.

Image source: Getty Images.

The bull case: Nvidia stock soars 83% to $352 per share

Nvidia is an accelerated computing company best known for its graphics processing units (GPUs), chips that accelerate complex data center workloads like artificial intelligence (AI). Nvidia holds about 85% market share in the AI accelerator market, and the company is well positioned to maintain its leadership due to its full-stack strategy.

In addition to designing GPUs, Nvidia develops adjacent data center hardware like CPUs and networking gear. The company integrates those components into rack-scale systems, providing customers with a turnkey solution for AI infrastructure. Additionally, Nvidia has an unmatched ecosystem of software tools that help developers build GPU-accelerated applications.

That full-stack strategy affords Nvidia a competitive moat because it allows the company to optimize data center systems for performance and power efficiency in ways its competitors cannot. Consequently, while Nvidia GPUs are very expensive, its systems generally have a lower total cost of ownership than alternative options.

Evercore analyst Mark Lipacis says that moat will not only help Nvidia maintain its leadership in data center GPUs, a market forecast to grow at 36% annually through 2033, but also capture a larger percentage of data center spending. In addition, Lipacis expects Nvidia to be a major winner as the physical AI (autonomous vehicles and robots) revolution unfolds.

Nvidia's full-stack approach should be equally advantageous in that market. The company provides the data center hardware and software needed to train models. It also provides the simulation engine needed to validate those models. And it provides the embedded processors needed to run physical AI applications in autonomous cars and robots.

The bear case: Nvidia stock falls 27% to $140 per share

Jay Goldberg at Seaport Research sees growing demand for custom AI chips as a problem for Nvidia. In particular, Alphabet's Tensor Processing Units (TPUs) have emerged as a serious challenger to Nvidia GPUs, with recent reports indicating Meta Platforms and Anthropic will spends billions on the chips in the coming years.

However, while many of Nvidia's largest customers have deployed custom AI accelerators, including Amazon and Microsoft, those chips lack prebuilt software tools, which means developers must build them from scratch. Few companies have the necessary resources, according to Nvidia CEO Jensen Huang: "There just aren't that many teams in the world who are extraordinary at building these incredibly complicated things."

Beyond competition, Goldberg thinks Nvidia's margins will be pressured in the next year. One reason is that high bandwidth memory (HBM) chips, which play a critical role in feeding data to GPUs, have skyrocketed in price due to an unprecedented supply shortage. Another reason is that Nvidia has committed to spending $26 billion on cloud capacity in the next six years, primarily for research and development.

Goldberg raises reasonable concerns, and investors should monitor Nvidia's gross margins, but I do not think his argument is strong enough to justify selling the stock. In fact, investors should consider buying shares. The valuation of 47 times earnings is reasonable for a company whose earnings are forecast to grow at 37% annually over the next three years.

My prediction: Nvidia stock will increase 35% to $260 per share

I think Nvidia will trade at $260 per share by December 2026. That implies about 35% upside from the current share price of $192. I selected that figure because it splits the bullish and bearish extremes, and because it represents a slight premium to the median target price of $250 per share.

"Analysts have underestimated AI capex (capital expenditures) every quarter for the past two years, suggesting a continued upside risk to the broader AI trade's durability," according to Goldman Sachs strategists. To that end, Nvidia's earnings may increase faster than Wall Street anticipates, in which case the stock could top the median target price.

Further, CEO Jensen Huang says autonomous machines are the next frontier of the AI boom, and Nvidia builds products that most self-driving car companies use. I think investors will become more cognizant of that fact as Waymo and Tesla deploy more robotaxis this year, which strengthens my conviction that Nvidia can top the median target price by December 2026.

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Trevor Jennewine has positions in Amazon, Nvidia, and Tesla. The Motley Fool has positions in and recommends Alphabet, Amazon, Evercore, Goldman Sachs Group, Meta Platforms, Microsoft, Nvidia, and Tesla. The Motley Fool has a disclosure policy.

Disclaimer: For information purposes only. Past performance is not indicative of future results.
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