Who’s Better Positioned to Win Autonomous Driving? (And how to build a conviction thesis without falling for the hype)
I’ve been tracking the evolution of autonomous driving for years,; not as a tech enthusiast, but as an operator and investor focused on long-term scalability. With $Tesla Motors(TSLA)$ and $Alphabet(GOOGL)$ taking radically different paths toward full self-driving (FSD), I wanted to break down how to think clearly about which company is more likely to dominate this space over the next decade.
This isn’t about who gets there first—it’s about who can scale profitably, globally, and defensibly.
1. Autonomy Economics:
Tesla Robotaxi (Cybercab)
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Estimated Unit Cost: Under $30,000
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Autonomy Approach: End-to-end neural net, camera-only (no lidar/radar)
Production Timeline:
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Unveiled: April 2024
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Manufacturing Start: 2026, per Elon Musk
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Lead Time: ~24–30 months from design freeze to mass production
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Manufacturing Control: Fully vertically integrated (Tesla owns design, assembly, chip stack, FSD)
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Operational Cost Goal: ~$0.20/mile
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Gross Margin Potential: 25–50%
🔁 Breakeven Mileage: ~150,000 – 200,000 miles per vehicle
📈 Scalability Edge: Tesla wins if the same model can run 1M+ miles with minimal added cost
👉 Optimized for affordability and high-scale rollout once regulatory hurdles are cleared. Delays are possible due to design complexity, regulatory approval, or hardware transition (HW5).
Waymo Robotaxi (Jaguar I-PACE platform)
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Estimated Unit Cost: $150,000–$200,000
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Autonomy Approach: Lidar + radar + HD maps + rule-based architecture
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Production Timeline:
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Base Vehicle: Jaguar I-PACE EV
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Modification & Sensor Integration: Done in partnership with Magna Steyr
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Lead Time: ~12–18 months for retrofitting and AV stack integration
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Manufacturing Control: Dependent on Jaguar & external partners
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Operational Cost (Est.): ~$0.30–0.50/mile (excluding ops/tele-support)
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Gross Margin Potential: 40–70% (on premium pricing)
🔁 Breakeven Mileage: ~100,000 – 150,000 miles
📈 Scalability Edge: Profitable in select markets but hard to scale affordably
👉 Faster to deploy in specific geographies but slower to scale due to cost and mapping constraints. Suited for dense, premium urban corridors.
Key Takeaway
Tesla is betting on longer lead time upfront for a mass-market, low-cost rollout.
Waymo benefits from a shorter integration cycle, but faces higher cost per unit and less manufacturing control.
Each is playing a different game:
Tesla is optimizing for scale economics → win global roads.
Waymo is optimizing for safety and premium service → win city corridors.
2. Tech Stack:
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Tesla: End-to-end neural nets trained on raw camera feeds. No lidar. OTA updates weekly.
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Waymo: HD-maps, lidar, multi-modal stack. Safer early on, but slower to scale.
✅ Tesla bets on "cheap swarm learning"
✅ Waymo bets on "safety-first logic"
3. Data Flywheel:
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Tesla: 3.6B+ FSD miles, 7M miles/day.
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Waymo: ~250M autonomous miles, very high quality per mile.
Quantity (Tesla) vs. Quality (Waymo). Whoever solves edge cases faster wins.
4. Regulation:
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Tesla: Level-2 supervised FSD in US/China, Austin driverless pilot just launched.
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Waymo: Fully driverless paid rides in Phoenix, SF, LA. Regulator darling post-Cruise fallout.
🟩 Waymo = safer bet with DMV/Feds
🟧 Tesla = wildcard if 1 state certifies FSD unsupervised
5. Business Model:
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Tesla: Robotaxi fleet + potential FSD licensing to OEMs.
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Waymo: White-label software + robotaxi service. No vehicle sales.
Tesla’s vertical stack means lower per-mile costs, Waymo runs asset-light but sensor-heavy.
6. Leadership Conviction:
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Tesla: $10B+ AI capex in 2024 alone. Musk’s all-in bet.
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Alphabet: Waymo is 1 of many “Other Bets.” Slow & methodical.
📈 Tesla = speed & risk 🧘 Waymo = caution & resilience
7. Culture & Scale:
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Tesla ships early, learns in public, owns the whole stack (car, chip, training infra).
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Waymo waits until perfect, but slower to integrate & scale.
Bottom line
Waymo feels safer and will likely own the first profitable U.S. robotaxi corridors. But if you’re making a 10-year, scalability-weighted bet, the combination of Tesla’s manufacturing leverage, compute war-chest, and data firehose offers the better asymmetry provided you can stomach the political and execution risk that comes with betting on Musk.
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