An unexpected moment at a recent Coldplay concert, featuring two executives on the “kiss cam” has rapidly gone viral, sparking widespread rumors, a flurry of memes, and even an unusual debate surrounding a Simpson’s prediction.
The Coldplay ‘kiss cam’ scandal involving Astronomer CEO Andy Byron and Chief People Officer Kristin Cabot has taken a bizarre turn, with social media users claiming that an old episode of The Simpsons predicted the moment years ago.
During a Coldplay concert at Gillette Stadium, the duo was caught on the kiss cam, triggering rumours of an alleged affair. Fans quickly linked the moment to a scene from The Simpsons, pointing to a 2017 episode that eerily mirrors the real-life controversy, though closer inspection reveals the image may be AI-generated.
During a Coldplay concert on Wednesday, the audience witnessed an unexpected moment when Andy Byron and Kristin Cabot appeared on the venue’s kiss cam, cosying up to each other.
Frontman Chris Martin playfully commented, “Either they’re having an affair or they’re very shy,” igniting immediate online speculation. Within hours, the clip went viral across platforms like X (formerly Twitter) and Facebook, raising questions about workplace boundaries, executive conduct, and the personal lives of tech leaders. Here’s what happened and what’s fact vs fiction.
Fans of The Simpsons were quick to jump in with comparisons. An image circulated on social media showed two characters in a kiss cam moment, closely resembling Byron and Cabot’s pose. The theory pointed to Season 28, Episode 8 titled “Kiss Kiss, Bang Bangalore”, in which Homer and Marge share an awkward kiss cam experience at a baseball game.
However, experts and showrunner Al Jean debunked the claim, stating, “We write satire, not prophecy. Any similarity is pure luck.” Analysts have also noted that the viral image appears to be AI-generated, not taken from any actual episode. Still, the internet was quick to embrace the theory, showcasing yet again the cultural power of The Simpsons and their history of eerily accurate storylines.
