POLICY WIRE FACT CHECK: Palm Beach plane crash footage isn’t AI-generated, despite social media claims
The Claim Following a tragic aviation accident in Palm Beach County, Florida, on November 1, a wave of social media posts emerged on X (formerly Twitter) claiming that video of the crash was entirely...

The Claim
Following a tragic aviation accident in Palm Beach County, Florida, on November 1, a wave of social media posts emerged on X (formerly Twitter) claiming that video of the crash was entirely fabricated. The viral footage, which depicts a business jet nosediving into a neighborhood roadway at high speed, cratering the pavement and exploding into a massive fireball, was described by some users as ‘too unreal’ to be real.
Specifically, several high-profile X posts asserted that the footage ‘was 100% AI generated with artificial intelligence.’ These claims often included screen recordings of AI-detection tools, specifically Hive Moderation, which allegedly showed the software flagging the video as synthetic. Proponents of this theory argued that ‘someone is lying to us’ and that the visual quality of the impact was inconsistent with a physical event.
The Details & Investigation
Our investigation into these claims reveals that the crash was a devastating, real-world event. On November 1, a Learjet 60 business jet traveling from Austin, Texas, to the Bahamas crashed into a neighborhood near Cresthaven, Florida, at approximately 12:51 p.m. ET. U.S. Transportation Secretary Sean Duffy confirmed that all individuals on board lost their lives. The incident was not merely a digital creation but a documented catastrophe reported on by major global news organizations, including The Associated Press, CNN, CBS News, and the BBC.
The original source of the footage has been identified as Aki Kuusisto, a digital creator from West Palm Beach. Kuusisto shared the clip on Facebook, noting that the video was captured by a dashcam installed on his vehicle. ‘This was not quite what I had in mind when I installed the dash cam,’ Kuusisto remarked in the comments, providing a clear point of origin for the media. The physical evidence at the scene—including a significant crater in the roadway—was documented by the National Transportation Safety Board (NTSB) investigators. Timothy Monville of the NTSB stated that the primary challenge for investigators was recovering major wreckage from the impacted pavement.
The viral ‘AI-generated’ narrative relies heavily on the misuse of Hive Moderation, an AI-detection tool. Experts point out that such tools are not infallible and are prone to false positives. Darren Linvill, co-director of the Media Forensics Hub at Clemson University, noted that when the Palm Beach crash footage was run through the tool, it did not flag it as AI-generated or manipulated. Linvill attributed the skepticism of the public to the ‘liar’s dividend,’ a phenomenon where people become so accustomed to deepfakes that they begin to dismiss genuine evidence as fake.
Furthermore, the technical details of the crash supports its authenticity. While the investigation is ongoing, NTSB member Tom Chapman indicated the aircraft may have encountered severe turbulence and icing conditions prior to the impact. The presence of eyewitness accounts, official government statements, and the physical recovery of wreckage by federal authorities definitively debunk the claim that the video was a digital fabrication. This case is categorized as DISINFORMATION, as it involved the coordinated use of AI-detection screenshots to deliberately spread a false narrative about a tragic loss-of-life event.
The Verdict
The claim that the footage of the Palm Beach plane crash was AI-generated is FALSE. The video is an authentic recording captured by a dashcam, and the event itself is verified by the NTSB, federal officials, and multiple news agencies. The reliance on flawed AI-detection software to support the claim represents a clear attempt to mislead the public.
Counter-misinformation & disinformation investigation conducted by PolicyWire Editorial Desk (PW).





