At $370, robotaxi accounts for $293 per share — 79% of the entire stock price. The market implies a 27% probability of Tesla building a $3.6 trillion autonomous transportation platform. This is the single largest speculative bet in our portfolio.
The question this page answers
Is that 27% probability too high, too low, or about right? We examine the technical feasibility, competitive landscape, regulatory environment, unit economics, and scenario models below.
The robotaxi sub-area is modeled with six probability-weighted scenarios ranging from a $1.8T global platform (TAM mega bull) to complete program failure. The reverse-solve from the market price of $293/share implies the market assigns a 44% probability to the most extreme bull case.
| TAM Mega Bull (44%) | Mega Bull (26%) | Strong Bull (8%) | Moderate (8%) | Failure (8%) | |
|---|---|---|---|---|---|
| Fleet (Y15) | 35M | 25M | -- | -- | -- |
| Revenue (Y15) | $423B | $246B | -- | -- | -- |
| EBIT Margin | 71% | 65% | 41% | 34% | -- |
| WACC | 8.5% | 9% | 10% | 11% | -- |
| Fleet (Y13) | -- | -- | 11M | -- | -- |
| Revenue (Y13) | -- | -- | $284B | -- | -- |
| Fleet (Y12) | -- | -- | -- | 550K | -- |
| Revenue (Y12) | -- | -- | -- | $12B | -- |
| Fleet | -- | -- | -- | -- | 0 |
| Revenue | -- | -- | -- | -- | $0 |
| Outcome | -- | -- | -- | -- | Camera-only never achieves L4 |
| DCF Value | $1.83T | $757B | $483B | $9B | $0 |
| Per Share | $518 | $214 | $137 | $2 | $0 |
The 44% probability on TAM mega bull is exceptionally high — it requires Tesla to achieve global L4, build 35M vehicles, capture 25% of an expanded global TAM, and maintain 71% EBIT margins. Every one of these assumptions is contestable. Yet the reverse-solve shows this is what the market is pricing.
What the failure scenarios imply
The combined failure + limited probability is only 16%. The market sees very little chance that robotaxi is worth nothing. This means even bearish investors are pricing in significant optionality — the downside protection comes from Tesla's existing businesses, not from robotaxi hedging.
Tesla's robotaxi thesis rests on a camera-only perception stack achieving Level 4 autonomy — something no company has yet commercially deployed without LiDAR. FSD v14 reaches 9,200 miles between critical interventions, a dramatic improvement but still far from L4 requirements of millions of miles between disengagements.
NHTSA Investigation EA26002
On March 18, 2026, NHTSA escalated its FSD camera degradation investigation to Engineering Analysis covering 3.2 million vehicles. This is the most advanced stage before a potential recall.
The camera-only approach has a fundamental cost advantage — no LiDAR ($267/unit at scale), lower compute requirements — but a fundamental data disadvantage: no direct depth sensing. NVIDIA research confirmed log-linear data scaling laws for end-to-end autonomous driving, validating Tesla's data-centric approach, but the question remains whether camera-only can reach the safety bar.
Tesla's robotaxi ambitions face a multi-layered regulatory gauntlet across federal, state, and international jurisdictions — compounded by escalating enforcement actions against its current FSD system.
The regulatory landscape is split: federal policy is moving toward enabling AVs (FMVSS exemptions, SELF DRIVE Act), while state-level enforcement is tightening (California DMV ruling, NHTSA investigation). China has mandated LiDAR in L2 ADAS systems, effectively banning Tesla's camera-only approach for its domestic market.
China LiDAR mandate
China's MIIT incorporated LiDAR into mandatory L2 ADAS safety standards in September 2025, banning misleading AV marketing. This effectively blocks Tesla's camera-only FSD from the Chinese market and forces any robotaxi deployment to use a different sensor suite.
The autonomous driving competitive landscape in March 2026 is defined by one dominant reality: multiple companies have achieved fully autonomous commercial robotaxi service. Waymo leads with ~3,000 vehicles, 400K+ weekly rides, and a $126B valuation. Tesla has ~500 vehicles in Austin operating at L2+ with safety drivers.
| Waymo | Tesla | Baidu Apollo | Uber AV | |
|---|---|---|---|---|
| Fleet size | ~3,000 | ~500 (pilot) | 1,000+ | Partners only |
| Autonomy level | L4 (10 cities) | L2+ (supervised) | L4 (26 cities) | Aggregator |
| Weekly rides | 400-500K | Limited pilot | 300K+ | Via partners |
| Sensor approach | LiDAR + cameras | Camera only | LiDAR + cameras | Partner-dependent |
| Valuation | $126B | Embedded in TSLA | Public ($4B) | N/A |
For Tesla, Waymo proves the robotaxi market is real — but also demonstrates that a multi-year, multi-billion-dollar head start in safety data, regulatory approvals, and commercial operations creates a formidable competitive moat. The camera-only approach is Tesla's differentiator: if it works, the cost advantage is decisive. If it doesn't, Tesla is years behind competitors who chose LiDAR.
The Cruise shutdown signal
GM shut down Cruise in December 2024 after investing $10B+. This validates how hard the problem is — and how much capital is at risk. Of the major AV programs, only Waymo and Baidu have achieved commercial-scale driverless operations.
Even if Tesla solves the technical problem of autonomous driving, the investment question remains: can robotaxis make money, and how big is the market? The answer depends on three variables — cost per mile, pricing per mile, and fleet utilization — each of which is highly uncertain at this stage.
Below $0.56/mile, autonomous rides become cheaper than car ownership for the average American. This is the TAM expansion threshold — it transforms robotaxi from a taxi replacement into a car replacement, expanding the addressable market from $150B (current ride-hailing) to potentially $3-6 trillion (total transportation spending).
The economics threshold
The bull case requires cost per mile below $0.56 — cheaper than owning a car. At Tesla's current $1.40/mile Austin pricing, this requires a 60% cost reduction over the projection period. Goldman projects this is achievable by 2040, driven by vehicle depreciation falling from $0.35/mile to $0.05/mile as purpose-built Cybercabs replace converted Model 3s.