An Indicator analysis of 85 AI “nudify” websites: the sites averaged 18.5M monthly visitors, may generate up to $36M annually, and rely on Big Tech services
Millions of people are accessing harmful AI “nudify” websites. New analysis says the sites are making millions and rely on tech from US companies.
Context & Ripple Effects
Earlier reporting showed that AI undressing services had already reached substantial audiences, while a prior review found major platforms’ sign-in tools embedded across leading sites. This analysis broadens the picture from a handful of services to 85 sites and puts both traffic and potential revenue into view.
The findings also follow reporting on Clothoff’s network of related nudify services, suggesting that reach can be concentrated in multi-service operators rather than isolated websites. Reliance on US technology providers makes the ecosystem’s commercial and technical dependencies more visible.
First-order effects
- The 85 sites gain a clearer commercial profile: 18.5 million average monthly visitors and estimated annual revenue of up to $36 million indicate an operating market rather than scattered abuse.
- Big Tech service providers become identifiable chokepoints because the sites depend on their technology, extending responsibility beyond the sites’ own operators.
Second-order effects
- Providers of sign-in, hosting, payments, and other enabling services face stronger pressure to detect and restrict prohibited use across accounts and integrations, rather than treating abuse as a purely downstream problem.
- A revenue-bearing market gives operators incentives to preserve acquisition and conversion channels; disruption at one provider can shift them toward alternative services or more fragmented setups.
Third-order effects
- If recurring investigations continue to show mainstream-service dependencies, enforcement against AI sexual-abuse tools is likely to focus increasingly on infrastructure access and monetization, not just takedowns of individual domains.
- The pattern points to an expanding AI enforcement surface: safeguards will be judged by whether they constrain distribution and commercial operation across linked services, though the effectiveness of that approach depends on coordinated provider action.
The trend: AI-enabled abuse is becoming a commercially organized ecosystem whose scale depends on access to mainstream distribution, identity, and infrastructure services.