Meta’s new AI detection tool isn’t working entirely as advertised, according to a new report. Meta debuted its first image generation model, Muse Image, earlier this week. As part of the debut, the tech giant also announced that all images generated by the model would include an invisible watermarking system called Content Seal. This signal would remain intact even when the AI-generated image gets “cropped, compressed, resized, or screenshotted” by users, the company claimed. To help with catching the Content Seal signal, Meta also announced that it was previewing an AI detection tool to check whether Muse Image generated an image. But, in a report published on Friday, Reuters reporters found that the AI detection tool failed to identify more than half the images it generated once they had been cropped. In the first test, Reuters found that the tool correctly identified all 40 images generated by Muse Image as AI-generated, but once those images were cropped to half or one-third of their original size, the tool was only able to identify 55% as AI-generated. As generative AI tools get better at producing uncanny deepfakes, detection becomes a trickier problem to solve. According to cybersecurity firm DeepStrike, the volume of AI-generated deepfakes online has experienced a roughly 900% annual growth from 2023 to 2025. But detection capabilities haven’t advanced completely in parallel to this boom in popularity. Commercial AI detection tools, themselves driven by AI, are still plagued with mistakes, while the average person’s ability to identify AI-generated content is no better than a coin toss, according to previous studies.