In 2025 Merriam Webster dictionary named “AI slop” as its word of the year defining it as “digital content of low quality that is produced usually in quantity by means of artificial intelligence.” This may be an accurate description of how many people today experience generative AI, and it helps understand why some are tempted to dismiss AI generated child sexual abuse images as crude, obviously fake “doodles”.
However, the images and videos we’ve been seeing in the Hotline in 2025 tell a different story. Many of them are created with significant attention to detail, using state of the art models, powerful hardware and complex workflows that can take months to master. In many cases the resulting images look indistinguishable from photographic CSAM.
In 2025 we saw AI generated content take on new forms. We encountered AI companion sites which offered explicit conversations with simulated child characters and had the capability to generate criminal images alongside the chats. Alarmingly, members of the public came across these services by clicking on ads on mainstream social media platforms, making it apparent how easily accessible this content is.
Another important trend was the sharp increase in the number of realistic AI generated videos we saw in the hotline. Multiple open-source video generating models were released in 2025 instantly becoming popular with bad actors. While we previously saw convincing deepfakes and face-swaps, in 2025 videos generated from text prompts and from images took centre stage. In the span of a year, we saw them evolve from simple clips of sexually posed children to movies featuring multiple child and adult characters, different locations and scenes, lately also featuring AI generated audio including children’s voices.
We also observed the 'nudifying' bots and apps develop new functions. They no longer just remove clothing from a static image but can also create sexual videos involving anyone with a publicly available image.
Finally, we have been monitoring the emergence of first agentic AI tools and their potential to affect the spread of CSAM content online. With the rise of “vibe coding” and autonomous AI agents, bad actors may be able to build, update and maintain websites and apps more easily than ever. By lowering technical knowledge barriers and improving the resilience of networks which spread CSAM, these tools carry the risk of increasing the scale of the problem in 2026 and beyond.
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