A former Tesla manager is suing the company, alleging that its Full Self‑Driving (FSD) vehicles were “rolling hazards” on public roads due to overstretched and under‑trained safety operators overseeing the robotaxi program. The lawsuit paints a troubling picture of internal pressure, unrealistic performance expectations, and a safety culture strained by Tesla’s push to scale autonomous driving as fast as possible.
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According to the complaint, Tesla allegedly expanded its robotaxi testing without increasing the number of human operators responsible for monitoring FSD behavior. The former manager claims operators were routinely assigned more vehicles than they could safely oversee, leading to missed interventions, delayed responses, and dangerous on‑road behavior from cars running experimental autonomy software.
The suit also alleges that internal warnings were ignored. The manager says he repeatedly raised concerns about erratic FSD behavior—unexpected braking, lane drifting, and failure to detect obstacles—only to be dismissed or pressured to keep vehicles on the road. He argues that Tesla prioritized rapid deployment and positive metrics over addressing fundamental safety issues.
Tesla has not publicly commented on the lawsuit, but the company has long maintained that FSD improves safety and that human oversight is built into every stage of testing. Still, the allegations arrive at a sensitive moment: regulators are scrutinizing autonomous vehicle programs more closely, and Tesla is pushing toward a future where robotaxis become a core part of its business model.
The lawsuit highlights a broader challenge facing the entire autonomous driving industry. As companies race to commercialize self‑driving systems, the gap between ambitious timelines and real‑world safety constraints is becoming harder to ignore. If the claims are accurate, Tesla’s internal pressures may have created conditions where even trained operators couldn’t keep up.
The case could have major implications—not just for Tesla, but for how regulators evaluate the human oversight required to safely test and deploy autonomous vehicles.