Physical AI Cybersecurity — AV Attack Surfaces, Sensor Spoofing, and Fleet-Wide Risk
AV cyber attacks are physical safety events — sensor spoofing, OTA exploits, and HD map injection mapped as Physical AI security benchmark dimensions.
AV cyber attacks are physical safety events — sensor spoofing, OTA exploits, and HD map injection mapped as Physical AI security benchmark dimensions.
Waymo multi-sensor fusion resists LIDAR spoofing and adversarial patches. Tesla camera-only FSD faces different attack surfaces. OTA security matters for both.
Tesla's 6M-car fleet vs Waymo's 50M driverless miles: mapping the data flywheel as a Physical AI benchmark dimension and whether volume or quality wins.
Tesla has 6B-plus supervised FSD miles from 6M vehicles. Waymo has 30M driverless miles. Scale vs quality is the core Physical AI training data race.
Tesla collects millions of FSD miles daily from 6M vehicles; Waymo runs 15B simulated miles per day. Volume vs quality defines the Physical AI pipeline race.
Waymo anonymizes faces and plates from its commercial fleet data. Tesla's 6M-vehicle training pipeline faces GDPR tension and China camera scrutiny.
Waymo collects commercial rider trip data. Tesla runs 6M-plus cameras via Sentry Mode and FSD. AV privacy is Physical AI's emerging geopolitical risk.
Waymo built a driverless police stop protocol. Tesla had a 2021 NHTSA recall for Autopilot failing to detect stationary emergency vehicles on the roadway.
Tesla has 60,000-plus Supercharger connectors globally. Waymo must build a depot per city. Charging infrastructure is Physical AI's hidden structural moat.
Waymo's LIDAR draws est. 100-150W vs Tesla cameras at under 8W. AV EV trucking could cut freight CO2 by est. 75% when diesel gives way to electric.
LIDAR suites, training compute, rare earth sensors: the full lifecycle environmental cost of autonomous vehicles and humanoid robots, mapped.
AV fleet charging, Dojo training power, and humanoid battery life mapped as benchmark dimensions — energy cost is underweighted in Physical AI economics.
Tesla Supercharger spans 50-plus countries at zero per-city cost; Waymo pays $2-10M per depot. Energy infrastructure is Physical AI's most underrated moat.
Waymo handles SF fog with 1550nm LIDAR. Tesla FSD uses snow-belt training data. No AV system is validated for driverless heavy snow or ice as of mid-2026.
Waymo earns est. $150M annualized robotaxi revenue with a $45B standalone valuation. Tesla embeds $100B–$400B AV optionality with FSD revenue already flowing.
Waymo's dispatch OS routes 1,100 AVs in real time — the invisible software layer that multiplies ride volume and is nearly impossible to replicate.
Waymo Gen 6 cuts vehicle cost to ~$45K est.; Tesla targets $30K Cybercab. Both need 500K+ weekly rides and higher utilization to break even by 2028-2030.
Waymo Gen 6 LIDAR suites cost est. $20K–$60K per vehicle. Tesla Cybercab cameras cost under $500 — a structural maintenance edge few AV models include.
Waymo's 24/7 Remote Ops Center covers 4 cities of driverless fleet. Tesla pushes OTA FSD updates to 6M+ vehicles weekly. Two different reliability models.
Waymo runs 1 remote operator per 10-25 vehicles today at $0.20-0.40/mile est.; improving to 1:100+ is the key ops lever for fleet economics at scale.