Elon Musk pushed back against media coverage of a fatal Tesla crash in Midtown Manhattan, arguing that the vehicle's Autopilot system had nothing to do with the wreck and that the driver's impairment, not the car, caused the collision. The crash occurred just before 3 a.m. on Wednesday when a 2024 Tesla Model Y struck a sidewalk shed, a bus stop pole, and a mailbox on East 42nd Street near Madison Avenue. Both occupants, each 27 years old, were hospitalized; the passenger died, and the driver was charged with vehicular manslaughter, driving while ability impaired, and leaving the scene of an accident.

Musk's response came after a since-deleted ABC News post that he said mischaracterized the incident. On X, Musk stated that if Autopilot had been engaged, "they would not have crashed," and suggested that legacy media outlets hold grudges against Tesla for not purchasing advertising. The New York Police Department has not attributed the crash to Autopilot or Full Self-Driving in any public statement, with charges pointing to impairment rather than software failure.

Musk

Why Does Musk Keep Defending Tesla Against Crash Reports?

This confrontation is not an isolated incident. Musk has repeatedly found himself correcting media narratives around fatal Tesla accidents, creating a pattern that he argues reflects bias rather than accuracy. In June 2026, several national outlets described a fatal crash in Katy, Texas, as happening while the car was "on autopilot," based on the driver's own account to police. However, Tesla's data told a different story. Ashok Elluswamy, Tesla's head of AI, revealed that the driver had pressed the accelerator to 100 percent and reached 73 miles per hour in a residential zone. Harris County prosecutors later confirmed the human override, and the driver was charged with manslaughter.

Similarly, in 2024, Musk had to clarify that Full Self-Driving was never even downloaded onto the Model 3 involved in a fatal Colorado DUI crash, despite a passenger's claim that an "auto drive feature" was in use. These repeated corrections suggest a systemic issue where initial reporting links Tesla to crashes before investigations are complete.

How to Understand the Media Coverage Pattern Around Tesla Accidents

• Premature Attribution: News outlets often cite Autopilot or Full Self-Driving involvement based on preliminary reports or driver claims, before official investigations determine the actual cause of the crash.
• Selective Naming: Florida Governor Ron DeSantis pointed out that outlets routinely name Tesla in crash headlines while leaving other automakers unnamed, even after a driver's own actions are shown to be the cause.
• Correction Lag: When investigations later reveal human error or impairment as the cause, corrections receive far less media attention than the initial reports linking the vehicle to the accident.

"The legacy media will never forgive Tesla for failing to advertise with them," Musk stated on X.

Elon Musk, CEO of Tesla and xAI

Musk's argument centers on a financial incentive: media outlets that do not receive advertising dollars from Tesla may be more inclined to frame the company negatively. While this claim is difficult to verify empirically, the pattern he identifies is real. Multiple high-profile crashes have been initially attributed to Tesla's autonomous features, only for investigations to reveal driver error, impairment, or system disengagement as the actual cause.

The Manhattan crash investigation is still ongoing, and the NYPD has not released a cause for the driver losing control. Tesla has not issued a separate statement beyond Musk's posts on X. However, the charges against the driver suggest that impairment, not vehicle malfunction, is the focus of prosecutors' case. Whether this narrative will dominate future coverage remains to be seen, but Musk's public pushback signals that Tesla intends to challenge media framing more aggressively going forward.