Nvidia's stock can soar 35% more, Barclays says. Why AI spending estimates now seem less ‘outlandish.

Barclays analysts have significantly raised their projections for AI infrastructure spending, now estimating over $2 trillion by decade-end, potentially reaching $3-$4 trillion, citing recent data-center announcements. This revised outlook, which views Nvidia CEO Jensen Huang's earlier $1 trillion forecast as conservative, has prompted Barclays to increase Nvidia's price target to $240, representing a 35.6% upside, and designate it as their top semiconductor pick. They anticipate this substantial spending will materially boost Nvidia's financials within the next five years, with a significant portion allocated to computing power and networking, also benefiting other accelerator names like Broadcom and AMD.

Analysis

Barclays has materially revised its forecast for the AI infrastructure market, now viewing Nvidia CEO Jensen Huang's earlier $1 trillion estimate as conservative. Citing a recent wave of data-center announcements, the bank now projects a total addressable market (TAM) of over $2 trillion by the end of the decade, with potential to reach $3 trillion to $4 trillion. This forecast is based on a model that equates to 40 gigawatts of power demand, with approximately 65-70% ($1.5 trillion) allocated to computing and networking hardware, representing a demand for around 19 million GPUs. Consequently, Barclays has upgraded Nvidia's (NVDA) price target to $240 from $200, implying 35.6% upside from its recent close, and has designated it their top semiconductor pick. While the analysis anticipates the majority of this spending will flow directly to Nvidia's financials within the next five years, it also notes positive implications for other accelerator names, specifically highlighting Broadcom (AVGO) and Advanced Micro Devices (AMD) as beneficiaries from spending on custom chips and competing GPUs.

Key Decisions for Investors

• Given Barclays' upgraded $240 price target and the 35.6% implied upside, investors may view any short-term weakness in Nvidia's stock, such as the noted 1.1% premarket dip, as a potential opportunity to build or add to a long position.
• The analysis validates a multi-trillion dollar, multi-year investment cycle, suggesting investors should monitor future AI data-center capacity and power consumption announcements as key indicators to confirm the thesis's trajectory.
• For investors seeking broader exposure to the AI hardware theme, the report's positive mention of Broadcom and AMD suggests these names warrant monitoring as secondary beneficiaries of the expansive infrastructure build-out.