Abstract
In the twenty-first century, robotic road vehicles—often described as “self-driving” or “driverless” cars—have become both a symbol of technological ambition and a flashpoint of social contention. Promoted by companies like Waymo, Tesla, and Cruise, these vehicles are marketed as solutions to enduring transportation problems like crashes, congestion, pollution, and limited mobility for the elderly and disabled. Proponents frame automation as the next step in mobility, shifting from human error to algorithmic precision. Federal policy reinforces this vision, describing automated systems as technologies that will save lives, improve mobility, and strengthen the economy (USDOT, 2020), echoing the longstanding claim that 94 percent of fatal crashes stem from human error (NHTSA, 2015).
Yet these promises have been met with growing skepticism. Urban planners, labor advocates, and safety organizations argue that automation may deepen existing inequalities rather than solve them. They warn that driverless fleets could increase congestion, divert resources from public transit, and displace millions of workers in trucking, taxi, and delivery industries. Autonomous vehicles have been criticized as unsafe and unregulated (TWU, 2022), while others describe their rollout as “automation without accountability” (Berkeley Labor Center, 2025). Critics caution that automation could extend a century of car dominance, further shaping cities around machines instead of people.
The contest over robotic vehicles is not merely technical but political—a struggle to define progress and determine whose interests it serves. Automakers, technology firms, and government partners promote a vision of innovation driven by efficiency and inevitability, while labor, urban, and environmental advocates call for a human-centered approach grounded in equity, safety, and accountability. The future of automation will hinge as much on policy as on technology, shaped by the political choices and power structures that govern its development.
