Google AI Overview Corrects False Scrap Value Claims for Flock Safety Cameras
An AI-generated claim suggesting Flock license plate cameras held $650 in precious metals was debunked when it was noted the devices weigh only three pounds, highlighting risks of algorithmic misinformation in financial queries.
Google’s AI Overview initially propagated a false assertion that Flock Safety license plate cameras contained approximately $650 worth of gold and 23 pounds of copper. The claim, which appeared in early August 2026, was based on an internet meme and an AI-generated social media post rather than verified technical data. Google corrected the information after it was noted that the cameras weigh only about three pounds, making the copper claim physically impossible.
The misinformation stemmed from a running joke among privacy activists regarding the surveillance platform, which photographs license plates and feeds data to police databases. The AI misinterpreted this satire as factual scrap-value estimates. Specifically, the system cited an anonymous Substack post and an AI-generated Instagram account focused on cannabis, both of which offered unverified guesses rather than engineering specifications.
At the time of the error, gold was trading around $4,350 an ounce, or approximately $140 per gram. Based on the AI’s initial output of one to five grams of gold per camera, the estimated value reached roughly $650. However, the system failed to perform basic logical checks, ignoring that a device cannot contain 23 pounds of copper if its total weight is three pounds.
By 6 August 2026, Google updated the AI Overview to acknowledge the error. The corrected statement noted that any gold present is in trace levels and that the previous figures originated from internet memes and AI hallucinations. The update clarified that the copper claim was impossible given the hardware’s physical constraints.
Industry analysis suggests that without specific circuit-board scrapping experience, recovering any value from these devices would be difficult and potentially yield less than the cost of a standard fast-food meal. The incident underscores the broader risk of AI systems prioritising text that resembles an answer over factual accuracy, a concern that extends to serious financial queries such as tax rules and investment advice.
Google did not respond to requests for comment from Futurism or Moneywise regarding the incident. The correction serves as a reminder for investors and consumers to verify sources when relying on AI-generated summaries for financial or technical data.
