Waymo closes $5.6B investment round
Waymo’s new $5.6B funding round is seen as a major bet on scaling its driverless robotaxi service, which is already providing over 100,000 paid rides per week in a few U.S. cities. Commenters contrast Waymo’s lidar- and HD map–based, geofenced Level 4 approach with Tesla’s camera-only, supervised “Full Self-Driving,” debating which strategy can realistically reach safe, unsupervised autonomy and at what timeline. There is also skepticism about Waymo’s path to profitability given high vehicle, mapping, and operational costs, even as some argue the long-term prize—capturing a large share of urban transportation—could justify its multi‑billion‑dollar valuation.
Waymo’s current status and user experience
- Several commenters report regularly seeing and using Waymo robotaxis in cities like Phoenix/Scottsdale and Atlanta, describing the experience as “amazing” and futuristic.
- Waymo is said to be doing >100k paid driverless rides per week and ~20M driverless miles to date.
- Some argue Waymo effectively “created and now dominates” the robotaxi market, with other players far behind in actual driverless deployment.
Waymo vs Tesla and other AV approaches
- Strong debate over Waymo’s LiDAR + cameras + radar + HD maps + remote-support stack versus Tesla’s camera-only, map-light, in-car-supervised FSD.
- Pro-Waymo side: only driverless miles and legal assumption of liability matter; Tesla has zero driverless public-road miles and remains an advanced driver-assist system requiring constant supervision.
- Pro-Tesla side: FSD is already very capable for supervised use, improving quickly, and backed by vastly more fleet data; they argue Tesla’s generalized, vision-heavy approach will scale better geographically than Waymo’s mapped, geofenced model.
- Many emphasize that both use traditional robotics pipelines with ML components; neither is a pure end‑to‑end “AI magic box.”
Remote operation, safety, and liability
- Multiple comments clarify Waymo’s remote support: humans choose from high-level options when the car is stopped or stuck; they do not joystick-drive the car in real time.
- Some criticize media and critics for conflating this with teleoperation.
- Safety comparisons: posters cite dozens of Tesla Autopilot/FSD fatalities versus no widely known Waymo passenger fatalities; others question disengagement metrics and definitions.
- Liability question raised: in a crash, Tesla still puts responsibility on the supervising driver, whereas Waymo assumes more direct liability for its driverless service.
Economics, scaling, and profitability
- Wide agreement that Waymo’s economics are currently challenging: expensive vehicles, depots, mapping, support staff, and large fixed R&D and compute costs.
- Back-of-envelope calculations suggest revenue per car might cover variable operating costs but not yet overall burn; others think scaling trends imply they may be near operating breakeven in at least some cities.
- Debate over whether HD mapping is a fatal scalability flaw or just a data cache that a company with Google’s mapping experience can scale.
- Long-term bull case: robotaxis could displace a large share of private car ownership and capture “the driver’s cut” of ride-hailing, potentially justifying very high valuations; skeptics see an expensive niche taxi company subsidized by Alphabet.