Could Tesla’s (TSLA) Cybercab Unlock a New Growth Driver?

Tesla's (TSLA) Cybercab venture is expanding into the autonomous-driving market, with the company hosting a launch event in Austin on September 3. Analysts at Goldman Sachs have maintained a Neutral rating on the stock, with a 12-month price target of $360. The bank believes Cybercab could provide Tesla with a cost advantage in the autonomous-vehicle market, potentially lowering its unit economics compared to competitors with higher upfront vehicle costs.

However, the firm emphasizes that scaling the robotaxi business will depend more on the performance of its software than on vehicle manufacturing costs. Tesla has already completed over 1 million miles of unsupervised robotaxi operations, and it is seeking partners for fleet ownership and related infrastructure. Goldman Sachs highlights Tesla's unboxed manufacturing approach and camera-only sensor system as potential cost-saving measures.

If the company can achieve a $20,000 to $30,000 Cybercab cost at scale, it could have a $0.05 to $0.30 per-mile cost advantage over competitors with $50,000 to $100,000 vehicle costs. Tesla's safety data also supports its autonomous-driving strategy, with vehicles using the Full Self-Driving system showing fewer automatic emergency braking events and collisions compared to non-FSD vehicles.

However, the more critical question for investors is whether Tesla's AI approach can scale its autonomous-driving software efficiently across a wider geographic area to impact robotaxi economics significantly. Goldman's estimates suggest full driverless robotaxi operations have resulted in an accident every 50,000 to 70,000 miles.

Goldman also identified risks such as slower EV demand, increased competition, tariffs, delays in Full Self-Driving and other products, and operational pressures. Tesla's robotaxi business could become a valuable asset, but investors should closely monitor the company's ability to scale its autonomous-driving software and maintain attractive unit economics.