Key Takeaways
- At its GTC conference, Nvidia CEO Jensen Huang forecasted $1 trillion in AI infrastructure spending from 2025 through 2027
- Uber is set to deploy DRIVE-powered autonomous vehicles in 28 markets worldwide by 2028, competing directly with Tesla’s robo-taxi vision
- Major automakers including BYD, Hyundai, and Nissan have committed to integrating Nvidia’s DRIVE technology for self-driving capabilities
- Analysts at Morgan Stanley estimate Tesla’s autonomous technology is worth approximately $270 per share, representing roughly $1.2 trillion — dependent on maintaining competitive differentiation
- Elon Musk revealed the “Terafab Project” will debut in 7 days, suggesting Tesla’s expansion into AI infrastructure development
For years, Tesla’s market valuation has carried a significant premium linked directly to its artificial intelligence and self-driving vehicle aspirations. However, Monday’s Nvidia GTC conference raised an uncomfortable question for investors: what becomes of that valuation premium when autonomous driving technology becomes widely accessible?
During his keynote presentation, Nvidia CEO Jensen Huang outlined expectations for $1 trillion in AI infrastructure investment spanning 2025 to 2027. The announcement that caught Tesla investors’ attention was Nvidia’s DRIVE platform — an integrated solution that enables virtually any vehicle to function as an autonomous taxi through the DRIVE AGX Thor computing system combined with camera arrays and lidar sensing technology.
Uber revealed plans to deploy DRIVE-equipped autonomous taxis throughout 28 international markets before 2028 ends. This represents a significant opportunity that might have otherwise belonged to Tesla, which is currently developing its Cybercab vehicle and building out its own ride-hailing fleet infrastructure.
Uber wasn’t the only major announcement. BYD, Hyundai, and Nissan each disclosed intentions to integrate DRIVE technology into their autonomous vehicle initiatives. Every additional partnership expands Nvidia’s presence in a market segment Tesla has positioned as central to its future revenue streams.
Tesla’s electric vehicle deliveries have declined year-over-year for two straight years across both U.S. and Chinese markets. Despite this, shares have surged 141% during the past two years, propelled primarily by enthusiasm surrounding robo-taxi potential and AI developments rather than actual vehicle delivery growth.
Analysts at Morgan Stanley assign a $270 per share valuation to Tesla’s autonomous driving capabilities exclusively — translating to approximately $1.2 trillion when calculated against its 4.5 billion fully diluted share count. This valuation framework assumes Tesla maintains a sufficiently differentiated self-driving product to support premium pricing power.
The Commoditization Risk to Tesla’s Valuation
Should DRIVE establish itself as the industry-standard autonomous driving solution, self-driving technology transitions from competitive advantage to standard equipment. While fleet operators and vehicle buyers would still purchase the capability, profit margins likely wouldn’t support a trillion-dollar valuation component.
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 assessments.
From a hardware perspective, Tesla represents a significant Nvidia client. The company’s AI development teams utilize extensive GPU cluster arrays for training the neural networks powering Full Self-Driving capabilities and robotics initiatives. This positions Tesla among Nvidia’s fastest-expanding compute customers.
Terafab Project Hints at Tesla’s Infrastructure Ambitions
Yet Musk’s recent X platform announcement regarding the “Terafab Project” launching within days suggests Tesla aims to expand its role in AI infrastructure — transitioning from solely purchasing chips to manufacturing its own hardware components. Tesla has already developed proprietary vehicle processors and the Dojo training architecture.
This strategic direction parallels moves by Alphabet and Amazon — both developed custom AI processing chips to decrease reliance on external suppliers like Nvidia.
Tesla shares declined 0.1% in Tuesday premarket trading to $395. Nvidia advanced 0.3% to $183.76. Uber jumped 2.6% to $76.60 following the DRIVE partnership announcement.
