Key Takeaways
- At the GTC conference, Nvidia’s CEO Jensen Huang forecasted AI infrastructure demand reaching $1 trillion from 2025 through 2027
- Uber intends to deploy robo-taxis powered by DRIVE technology in 28 markets worldwide by 2028, competing directly with Tesla’s ambitions
- Major automakers including BYD, Hyundai, and Nissan have committed to integrating Nvidia’s DRIVE platform into their autonomous vehicle strategies
- Analysts at Morgan Stanley estimate Tesla’s autonomous driving technology is worth approximately $270 per share, representing roughly $1.2 trillion in value that relies on technological differentiation
- Elon Musk revealed the “Terafab Project” will debut within 7 days, suggesting Tesla’s expansion into AI infrastructure development
For years, Tesla’s stock price has commanded a significant premium based on its artificial intelligence capabilities and autonomous vehicle prospects. However, Nvidia’s recent GTC conference presentation has raised a critical concern for investors: how sustainable is Tesla’s valuation if self-driving technology becomes widely accessible?
Jensen Huang, Nvidia’s chief executive, outlined a vision of $1 trillion in AI infrastructure spending over the next three years. The announcement that captured Tesla investors’ attention centered on Nvidia’s DRIVE platform — an integrated solution that enables any vehicle to function as an autonomous taxi using the DRIVE AGX Thor computing system combined with camera arrays and lidar technology.
Uber revealed plans to deploy robo-taxis equipped with DRIVE technology throughout 28 international markets before 2028 concludes. This partnership represents a significant opportunity that might have otherwise belonged to Tesla, which is simultaneously developing its Cybercab vehicle and constructing its own autonomous transportation network.
Uber wasn’t the only major announcement. BYD, Hyundai, and Nissan each disclosed intentions to incorporate DRIVE into their self-driving vehicle initiatives. Every additional partnership strengthens Nvidia’s position in an industry segment that Tesla has identified as central to its future revenue streams.
Tesla’s electric vehicle deliveries have declined year-over-year for two straight years across both American and Chinese markets. Despite this, shares have surged 141% over the preceding two years, propelled primarily by enthusiasm surrounding robo-taxi deployment and artificial intelligence capabilities rather than actual vehicle sales performance.
Morgan Stanley analysts attribute $270 per share of Tesla’s value exclusively to its autonomous driving technology — translating to approximately $1.2 trillion based on the company’s 4.5 billion fully diluted share count. This valuation assumes Tesla maintains a technological advantage sufficient to generate premium profit margins.
Widespread DRIVE Adoption Could Fundamentally Alter Tesla’s Valuation Framework
Should DRIVE emerge as the industry-standard solution for automakers globally, autonomous driving technology transitions from a competitive advantage to a standard feature. While fleet operators and end consumers may still pay for the capability, pricing likely wouldn’t support margins that justify a trillion-dollar market capitalization.
Musk has dismissed these concerns publicly. In early 2026, he stated he’s “not losing any sleep” over Nvidia’s autonomous driving technology and expressed that he “genuinely hopes Nvidia succeeds.” Regardless of whether this represents strategic positioning or authentic sentiment, investors must conduct their own valuation analysis.
Regarding computing hardware, Tesla represents a significant Nvidia client currently. The company’s artificial intelligence divisions utilize extensive GPU infrastructure to train the machine learning models powering Full Self-Driving functionality and robotics initiatives. This positions Tesla among Nvidia’s most rapidly expanding compute customers.
Terafab Project Reveals Tesla’s Long-Term Infrastructure Strategy
Yet Musk’s recent social media announcement regarding the “Terafab Project” launching imminently indicates Tesla’s ambition to expand its AI infrastructure role — transitioning from merely purchasing processors to manufacturing its own hardware components. Tesla has already developed proprietary vehicle semiconductors and operates the Dojo training platform.
This strategic direction parallels approaches taken by Alphabet and Amazon — both companies developed specialized AI processors to minimize reliance on external suppliers like Nvidia.
Tesla shares declined 0.1% during Tuesday’s premarket session to $395. Nvidia advanced 0.3% to $183.76. Uber shares jumped 2.6% to $76.60 following the DRIVE partnership disclosure.
