Next stop: Miami

Expansion & Geographic Limits

  • Many wonder when Waymo will reach snowy northern cities and rural areas; consensus is this is likely a decade away, with many Sun Belt cities first.
  • Snow and sensor obstruction are seen as harder problems than chaotic driving; Waymo has done some winter testing in Michigan but not full-year service.
  • Rural service is viewed as uneconomic due to low utilization and long “deadhead” miles, though some argue government subsidies (like rural electrification/mail) could justify it for critical trips (e.g., healthcare).

Economics of Robotaxis

  • Strong disagreement on cost impact of removing drivers:
    • One camp: driver is the dominant cost; eliminating them can slash fares and expand the market.
    • Others: vehicles, insurance, depreciation, maintenance, and mapping remain major costs; in low-demand areas capital sits idle, so economics still tough.
  • Debate on how much of an Uber fare actually goes to the driver and how profitable current ride-hailing is.
  • Some expect purpose-built, small single- or dual-occupancy EVs to significantly lower future capital cost.

Waymo’s Business Model & Scaling

  • Waymo is increasingly offloading operations to partners (Uber in some cities, Moove in Phoenix/Miami) and focusing on the self-driving stack.
  • This is seen as a way to avoid massive capex on fleets and depots and to scale faster across cities.
  • Mapping is high-resolution but participants debate how dependent the system is on pre-maps vs real-time updates; Waymo claims it can adapt to changes.

Miami as Testbed

  • Miami chosen despite (or because of) notoriously aggressive and untrained drivers, dense traffic, frequent construction, drawbridges, trains, and localized flooding.
  • Some see it as a “hard mode” stress test: if it works there, it should generalize well.
  • Heavy tropical rain and standing water pose both visibility and drivability challenges; Waymo has shown operation in heavy rain elsewhere, but edge cases (near-zero visibility squalls, flooded roads) may still require pausing service.

Safety, Technology, and Competitors

  • Supporters emphasize large accident reductions vs human drivers; skeptics ask for better independent data and note that “average” risk is dominated by a minority of very unsafe human drivers.
  • Ongoing Tesla FSD vs Waymo debate:
    • Pro-Tesla side: FSD already drives most of the time, CyberCab plus Tesla-scale manufacturing will crush Waymo’s slower, expensive, city-by-city rollout.
    • Pro-Waymo side: today only Waymo actually runs fully driverless service; Tesla still requires human supervision, has crash investigations, and routinely misses timelines.
  • Some argue legacy automakers will eventually offer their own robotaxi stacks and may not want a Waymo “middleman.”

Transit, Urban Form & Social Impact

  • Significant tension between “more (self-driving) cars” and investment in public transit, rail, and bike infrastructure.
  • Critics: robotaxis entrench car dependence, sprawl, congestion, and environmental harms; better to fund metros, regional rail, and greenways, which they argue can be cheaper long-term than road expansion.
  • Defenders: in car-centric US cities with poor transit (e.g., Miami, Houston), AV ride-hailing is a practical near-term solution; large-scale transit upgrades are slow, politically difficult, and often heavily subsidized too.
  • Some see gains in convenience, freed parking space, and safety; others worry about eroding driving jobs, further class divides, and over-automation of urban life.