A look at the humans employed to rescue robotaxis; Waymo uses the Honk app to pay $20 to $24 to manually close robotaxi doors and $60 to $80 to tow its cars
“While the Waymo Driver is designed to handle dark traffic signals as four-way stops, it may occasionally request a confirmation check to ensure it makes the safest choice.” — waymo.com/blog/2025/12... @washingtonpost.com : Because riders and passersby can be unreliable, Waymo pays workers in L.A. $20 or more for rescuing a robotaxi by closing a door, summoning help through an app called Honk that is like an Uber for towing companies. @ellenteapot.ca : Waymo's post-incident report on the SF power outage is interesting. — Turns out they DDoSed the human supervisors with prompts to confirm a stoplight is out before proceeding as if it were a four-way stop. Paul Rietschka / @prietschka : The coming years will be defined by an overwhelming, and so far successful, attempt to pretend AV technology is something that exists. — It truly doesn't. — What we pretend to be “autonomy” is really heavily dependent on constant human intervention. This is a great example of the mirage: @hypervisible.blacksky.app : “Because riders and passersby can be unreliable, Waymo pays workers in Los Angeles $20 or more for rescuing a robotaxi by closing a door, summoning help through an app called Honk that is like an Uber for towing companies.” Joanne Mcneil / @jomc : Waymo has trained 25,000 *humans* to assist its 3,000ish cars on the road. waymo.com/blog/2025/12... [image] Mastodon: Dwight Silverman / @dsilverman@mastodon.social : What kind of sociopath gets out of a taxi and leaves the door open? Maybe someone intoxicated, or just lazy & selfish? — https://www.washingtonpost.com/ ... Forums: r/SelfDrivingCars : When robot taxis get stuck, a secret army of humans comes to the rescue r/waymo : When robot taxis get stuck, a secret army of humans comes to the rescue
Context & Ripple Effects
Waymo’s service has expanded from early demonstrations that could miss a traffic officer’s signals to a San Francisco fleet described as attracting locals and tourists. This report exposes the operational layer behind that expansion: a vehicle can still need a person when autonomy encounters a physical or ambiguous edge case.
The need for intervention is consistent with a prior failure to interpret a traffic cop’s hand signals and sits alongside Waymo’s lead over Tesla’s Austin deployment, where Waymo operated more vehicles without in-car monitors. The key question is not whether human help exists, but how routinely it is required as fleets grow.
First-order effects
- Los Angeles workers and Honk-connected tow providers gain paid, app-dispatched work for door closures and disabled-vehicle recovery.
- Waymo formalizes a field-support path for exceptions: human confirmation checks, local responders and towing become part of keeping its roughly 3,000-car fleet available.
Second-order effects
- The payments turn edge-case recovery into a variable operating cost, giving Waymo an incentive to reduce incidents that require dispatch while preserving fast recovery when they occur.
- Robotaxi rivals seeking comparable unattended service will need their own mix of remote assistance and local recovery capacity; later filings on Waymo and Tesla’s remote-assistance programs underscore that this is an industry operating requirement, not only a vehicle-design issue.
Third-order effects
- If fleets continue to scale, robotaxi economics will depend on an integrated complement stack—software, remote decision support and on-the-ground service partners—rather than on driving software alone.
- The durability of that model will hinge on whether intervention rates fall faster than fleet size grows; otherwise, operational staffing and vendor coverage could constrain geographic expansion.
The trend: Robotaxis are evolving from standalone autonomous vehicles into managed mobility networks that combine automated driving with human exception handling and local service infrastructure.