Waymo has a clean commercial driverless safety record. Tesla FSD safety data is from supervised operation only — the datasets are not directly comparable.
Mid-2026 Tesla vs. Waymo across 20 dimensions: rides, data flywheel, supply chain, energy, Optimus, FMVSS, and the two bets that decide who wins Physical AI.
Updated Physical AI scorecard integrates four structural constraints — HD mapping, teleop staffing, OTA velocity, and FMVSS — that reshape the H2 2026 outlook.
Nvidia Orin vs Thor vs Tesla FSD chip: how the AV inference compute supply chain — TSMC, Samsung, advanced packaging — constrains the Physical AI ramp.
Waymo fuses lidar, cameras, and radar for redundant 3D perception. Tesla uses cameras only — 10-30x cheaper per vehicle — betting AI closes the gap.
LIDAR fell from $75K per unit in 2009 to under $1K today. Tesla's camera-only sensor cost per vehicle is est. 3-10x cheaper than Waymo's multi-sensor suite.
Tesla's neural rerender engine and Waymo's CarCraft platform represent two fundamentally different bets on how to generate synthetic training data at scale.
Waymo CarCraft runs 15B simulated miles/day; Tesla shadow mode harvests signals from 6M FSD vehicles. Both are essential for a complete AV safety case.
Waymo uses modular pipeline with interpretable layers; Tesla bets on end-to-end neural nets from 6M-fleet video; both converging toward hybrid architectures.
Who makes the chips, sensors, and actuators powering physical AI fleets — and which supply chain bottlenecks could stall the ramp even if the software is ready.
Layer-by-layer map of the AV and humanoid robot supply chain: LIDAR, radar, cameras, AI compute, actuators, and geopolitical risks.
Hardware, not software, is the hidden constraint on Physical AI: lidar lead times, NVIDIA Orin allocations, harmonic drives, and Waymo Zeekr dependency mapped.
Waymo draws on 15 years of Google SDC domain expertise. Tesla's post-Karpathy FSD team holds unique in-house silicon and 6-million-vehicle training data scale.
Physical AI is a talent race. Embodied-AI engineers and AV specialists are scarce — talent scarcity is the hidden rate-limiter on the autonomous-driving ramp.
Where top ML researchers and robotics engineers are concentrating in 2026 — and what their choices predict for technology leadership by 2028.
Waymo pays 20-30 percent above Tesla; Tesla wins on mission breadth and Optimus robotics uniqueness. Both recruit from the same Stanford-CMU-MIT pipeline.
Tesla Optimus reuses FSD's AI stack — vision chips, end-to-end training. Waymo has no humanoid bet. Optimus could be Tesla's biggest Physical AI play by 2035.
Waymo earns est. $2.50–$5.00/mile but stays unprofitable. Cybercab projects ~3-month payback if the $30K cost target and minimal remote-ops claim both hold.
No major AV platform is profitable in 2026. Waymo needs Gen 6 cost cuts. Tesla Cybercab targets est. $30K. Aurora must undercut truck driver wages per mile.
AV fleets will strand 800M US parking spaces and make curb management a top city revenue source, reshaping urban land use for Tesla and Waymo.