Key Takeaways
- At its GTC conference, Nvidia CEO Jensen Huang forecasted $1 trillion in AI infrastructure spending from 2025 through 2027
- Uber announced deployment of DRIVE-powered autonomous taxis in 28 markets worldwide by 2028, competing directly with Tesla’s robo-taxi ambitions
- Major automakers including BYD, Hyundai, and Nissan committed to integrating Nvidia’s DRIVE platform for self-driving capabilities
- Analysts at Morgan Stanley estimate Tesla’s autonomous technology accounts for approximately $270 per share, representing roughly $1.2 trillion in value contingent on maintaining competitive advantage
- Elon Musk revealed the “Terafab Project” will debut within 7 days, suggesting Tesla’s expansion into AI infrastructure development
Tesla’s market valuation has historically commanded a significant premium based on its artificial intelligence capabilities and self-driving ambitions. However, Monday’s Nvidia GTC conference has raised a critical concern for investors: how sustainable is that premium if autonomous driving technology becomes widely available?
Jensen Huang, Nvidia’s CEO, unveiled projections showing $1 trillion in potential AI infrastructure spending through 2027. The most significant announcement for Tesla shareholders centered on Nvidia’s DRIVE platform — a comprehensive solution enabling any vehicle to function as an autonomous taxi through the DRIVE AGX Thor computing system combined with cameras and lidar technology.
Uber revealed plans to deploy DRIVE-equipped autonomous vehicles throughout 28 international markets before 2028 concludes. This represents a significant opportunity that could have potentially belonged to Tesla, which is simultaneously developing its Cybercab vehicle and constructing its own autonomous transportation network.
The Uber partnership wasn’t an isolated development. BYD, Hyundai, and Nissan separately announced their intentions to implement DRIVE technology within their autonomous vehicle initiatives. Every additional partnership expands Nvidia’s reach into the autonomous driving sector that Tesla’s growth strategy heavily depends upon.
Tesla’s electric vehicle sales figures have declined two years running across both American and Chinese markets. Despite this, the stock has surged 141% over the previous two years, propelled primarily by enthusiasm surrounding robo-taxi potential and AI capabilities rather than actual vehicle delivery numbers.
Morgan Stanley analysts assign a $270 per share valuation exclusively to Tesla’s autonomous driving technology — translating to approximately $1.2 trillion when calculated against its 4.5 billion fully diluted share count. This assessment fundamentally assumes Tesla maintains sufficiently unique self-driving capabilities to justify premium profit margins.
Commoditization of Self-Driving Tech Could Reshape Valuations
Should DRIVE establish itself as the industry-standard autonomous driving solution for automakers globally, self-driving transitions from a competitive advantage to a standard offering. While fleet operators and end consumers would still pay for the capability, the margins likely wouldn’t support trillion-dollar valuations.
Musk has dismissed these concerns publicly. In early 2026, he stated he’s “not losing any sleep” over Nvidia’s autonomous technology developments and expressed that he “genuinely hopes Nvidia succeeds.” Whether this represents calculated strategy or authentic sentiment remains unclear, leaving investors to perform their own analysis.
Regarding hardware procurement, Tesla currently ranks among Nvidia’s largest customers. Its artificial intelligence divisions utilize extensive GPU clusters for training the neural networks powering Full Self-Driving and robotics initiatives. This positions Tesla among Nvidia’s most rapidly expanding compute customers.
Terafab Project Reveals Tesla’s Infrastructure Ambitions
However, Musk’s recent X platform announcement revealed the “Terafab Project” launching imminently. This disclosure suggests Tesla seeks expanded involvement in AI infrastructure — transitioning from solely purchasing chips to manufacturing its own hardware solutions. Tesla has already developed proprietary vehicle processors and the Dojo training architecture.
This strategic direction parallels approaches taken by Alphabet and Amazon — both developed custom AI processors to decrease reliance on external suppliers like Nvidia.
Tesla shares declined 0.1% in premarket trading Tuesday, reaching $395. Nvidia gained 0.3% to $183.76. Uber shares jumped 2.6% to $76.60 following the DRIVE platform announcement.
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