The people who trained Tesla’s self-driving AI won’t ride in it
What happened
Nine former Tesla data labelers and one ex-engineer spoke to Reuters about Tesla’s Full Self-Driving mode. Seven of the nine labelers said they would not ride in a Tesla running on FSD. One bluntly refused even for money in a Tesla robotaxi. These insiders, responsible for training the FSD AI, express deep skepticism about the system’s reliability despite their direct experience with its data and development.
Why it matters
When the people who built and trained an AI system refuse to trust it, that signals a serious problem with safety or performance. Tesla markets Full Self-Driving as an advanced automation feature, yet its own data specialists doubt it can handle real-world driving scenarios safely. This undermines consumer confidence and challenges regulatory bodies to reconsider how aggressively Tesla’s FSD claims should be accepted. For investors and operators, it raises the risk that FSD will face increased scrutiny, slower adoption, and costly liability if accidents occur.
What to watch next
Track regulatory moves responding to insider warnings and Tesla’s public safety records. Watch whether Tesla adjusts FSD marketing or delays Wider deployment as a result. Also pay attention to alternative self-driving developers whose engineers do trust their own systems—this insider mistrust shifts the competitive calculus and could affect where partnerships and investments flow. Finally, listen for updates from Tesla insiders about system improvements or continued doubts, as those will shape the pace of autonomous vehicle adoption.
AI Quick Briefs Editorial Desk
