Sources: several execs at Waymo, which saw a mass exodus of top talent this spring, felt frustrated about the sluggish pace of progress with its driverless tech
The world's most famous autonomous car shop has lost its CEO and is still getting stymied by traffic cones. What's taking so long?
Context & Ripple Effects
The spring exodus is not a new storyline at Waymo so much as a recurring one: back in 2016, Bloomberg reported the same frustration inside Google's self-driving project, where the ambitious full-autonomy goal made progress feel glacial while rivals shipped features. The pattern then repeated at Uber, whose Advanced Technologies Group bled talent after the Otto acquisition amid slow technical progress.
What has changed since is scale: investors have put an estimated ~$100B into self-driving startups with little to show for it, and Waymo now runs a service whose economics depend on an army of human helpers. The relationship detail that matters most downstream is the souring Uber partnership, which reporting says Waymo is exploring exiting amid a lobbying fight over robotaxis.
First-order effects
- Waymo loses accumulated institutional knowledge on autonomy exactly when it needs it most, and rivals like Tesla — whose Austin robotaxi service trails Waymo on vehicles and safety drivers — gain a recruiting pool of proven AV engineers.
Second-order effects
- The staffing math exposed by the reporting — roughly 25,000 trained humans supporting about 3,000 robotaxis, paying $20–$24 per manual door-close via the Honk app — pressures Waymo's unit costs and strengthens its case for restructuring partnerships like Uber's.
Third-order effects
- If the leader in driverless tech still needs humans to close doors, tow cars, and absorb confirmation prompts during incidents like the San Francisco power outage, the industry's promised end-state of fully autonomous fleets recedes further, validating skepticism about the ~$100B invested across the sector.
The trend: Autonomy companies are converging on human-in-the-loop operations as the gap between full-autonomy promises and deployable reality keeps producing talent churn and partnership stress.