The race

Skim: Two economic bets for the same ride-mile. Tesla = low vehicle cost + generalization. Waymo-style = densified city stack + proven unsupervised. China = control group. Later tabs are mechanisms and belief flips.

Shared starting map — the contest idea only. Who wins unsupervised ride-miles that insurers and regulators allow at a cost that compounds. This box is the grounding frame; later tabs are Grok’s build-out.

Fact structural / public framing Judgment Grok thesis Unpublished fleet / crash / ops not public

Tesla path Low cost · generalize

  • Camera-only stack — bet that vision + scale data generalizes across cities without HD-map lock-in.
  • ~$30–40k vehicle-cost edge — Thesis frame mass-manufactured robotaxi unit economics if utilization arrives.
  • Equity object — TSLA is a conglomerate with robotaxi optionality, not a pure-play robotaxi co.
The contest Ride-mile Cost · safety · availability
that passengers, insurers, regulators accept.
Scoreboard US / West unsupervised
utilization that sticks. Musk Orchestra · separate

Waymo-style Stack · city lock-in

  • High vehicle + map + ops cost — buy proven unsupervised utilization in densifying metros.
  • City compounding — densify served markets; expand carefully; trust + regulator familiarity as moat.
  • Equity object — private robotaxi co (mark ≠ TSLA market-cap comparison). Category error to score them as peers.
Frame · not a score China operators (Baidu / Pony / etc.) are a control / precedent for “does autonomy scale under different permission regimes” — not peers on the US/West equity race. Do not rank weekly China rides against US unsupervised clearance.
How to read this board: The race is the map. Tabs below invent Dependencies, Gates, Risk, Log, and Barriers from first principles — what has to be true for unsupervised robotaxi value to compound. Prefer unpublished judgment over fake fleet/crash numbers. Labels: Fact Judgment Unpublished · Musk Orchestra is separate.