Tesla FSD Is so Good Its Trainers Won’t Ride in It

Key Takeaways

• Seven of nine former labelers refuse to ride in Tesla FSD
• Data labelers repeatedly saw Teslas exceed speed limits during testing
• Engineers deem safety issues lower priority than edge‑case handling
• Musk’s claim of “safe unsupervised” robotaxis faces internal dissent
• Potential regulatory and market backlash as confidence erodes

Pulse Analysis

Tesla’s Full Self‑Driving (FSD) program has long been marketed as the cornerstone of the company’s autonomous future, but recent Reuters interviews reveal a stark contrast between public messaging and internal sentiment. Nine former data labelers—workers who sift through hours of driving footage to teach the neural network what constitutes a mistake—along with a former self‑driving engineer, disclosed that the majority would not trust the system enough to sit inside a robotaxi. Their day‑to‑day exposure to clips of vehicles routinely exceeding speed limits and the perception that such safety‑critical issues were deprioritized in favor of obscure edge cases paints a picture of a technology still far from the “safe unsupervised” benchmark Musk frequently touts.

The revelations arrive at a pivotal moment for autonomous vehicle regulation. U.S. safety agencies, including the National Highway Traffic Safety Administration, are intensifying scrutiny of driver‑assist features after high‑profile incidents involving Tesla’s Autopilot and FSD. When those closest to the code express doubt, regulators may demand more rigorous validation, potentially delaying the rollout of a commercial robotaxi service. Competitors such as Waymo and Cruise, which have pursued extensive public road testing under tighter oversight, could gain a competitive edge if Tesla’s timeline is forced to slow.

Investor confidence is also at stake. Tesla’s stock has historically surged on announcements of autonomous milestones, yet credibility gaps risk eroding that premium. Analysts may recalibrate revenue forecasts for the upcoming robotaxi subscription model, factoring in possible legal hurdles and slower adoption rates. For the broader industry, the episode underscores the importance of transparent safety reporting and the perils of overpromising technology that has not yet earned the trust of its own engineers.