Former Tesla AI Staff Question Safety Claims Behind Full Self‑Driving, Raising Investor Concerns

Tesla's reputation for pioneering autonomous driving has long been a key catalyst for its stock valuation, with investors pricing in future revenue from FSD subscriptions and robotaxi operations. However, new testimony from former employees suggests the technology may be falling short of the promises that underpin those expectations.

The interviewees, who spent extensive hours labeling video footage to train Tesla's neural networks, say they were often asked to tag scenarios that made the system appear more capable than it actually was. They cite specific shortcomings such as difficulty recognizing emergency vehicles, school buses and motorcycles, as well as instances where the vehicle failed to give adequate clearance. One former engineer recounted that the FSD software struggled to avoid construction workers and even nearly struck children in a 2025 incident.

Independent experts who reviewed Tesla's crash data compared it with Waymo’s methodology and found significant methodological flaws. Tesla benchmarks its FSD crashes against federal statistics on average U.S. vehicles, many of which are older models lacking modern safety hardware. Critics liken this to comparing a modern jet aircraft with a World War II bomber – an uneven playing field that can inflate perceived safety performance. Moreover, Tesla includes collisions occurring within five seconds of disengaging FSD, while federal reporting standards require inclusion of crashes up to 30 seconds after deactivation, further skewing the "10‑times safer" claim.

From a financial perspective, these revelations could amplify existing legal exposure. Tesla currently faces roughly 21 active lawsuits related to its driver‑assistance systems, with estimated liabilities ranging from $2.1 billion to $14.5 billion. Autopilot and FSD crash suits alone may account for $1‑5 billion, while class actions alleging false advertising could add another $100‑500 million. The National Highway Traffic Safety Administration (NHTSA) has also escalated its investigation into an engineering analysis phase, a step that often precedes recalls. Any adverse regulatory outcome or sizable settlement would pressure cash flow and potentially dent the company's profit margins.

The robotaxi narrative, touted by CEO Elon Musk as a near‑term revenue driver, may also be delayed. Four sources close to Tesla’s autonomous division indicated that scaling robotaxi fleets could take years, contrary to Musk's public timelines. Recent limited rollouts in Houston and Dallas have not yet demonstrated the high utilization rates needed to justify the $2,000‑plus annual subscription price projected for future markets.

Investors should weigh these operational risks against Tesla’s broader fundamentals. The stock currently trades at $435.79, roughly 12.6% below its 52‑week high and 59.5% above its low, with a modest upside potential of about 3.4% based on consensus price targets. While the share remains above both its 50‑day and 200‑day moving averages, indicating short‑term strength, volatility has risen to nearly 38% over the past 20 days, reflecting heightened uncertainty. The recent one‑month gain of 16.9% outperformed the S&P 500 by more than 10 percentage points, but year‑to‑date performance remains negative.

In summary, the new insider accounts inject fresh doubt into Tesla's autonomous driving narrative at a time when the market is already pricing in significant upside from FSD subscriptions and robotaxi revenue. Until Tesla can substantiate its safety claims with transparent data and demonstrate consistent operational performance, investors may need to reassess the risk‑reward balance of holding TSLA shares.

Given the heightened litigation exposure, regulatory scrutiny, and potential delays in monetizing autonomous services, a cautious stance is warranted. Market participants should monitor upcoming NHTSA findings, any settlement announcements, and real‑world robotaxi utilization metrics before reaffirming bullish assumptions about Tesla’s long‑term growth trajectory.