Content that a creator publishes once can end up copied, reposted, or algorithmically remixed across dozens of sites within days. This guide walks through what current research and platform transparency data actually show about the scale of piracy, the growth of AI-generated non-consensual content, and how often people are targeted — the baseline any creator needs before deciding how closely to track where their content is going.
1. The Scale of Piracy Traffic Creators Are Competing Against
Piracy remains a massive, if slowly shrinking, share of global web traffic, and understanding its size puts individual leak incidents in context.
| Metric | Value | Source |
|---|---|---|
| Global visits to piracy sites, five major sectors, 2025 | 185.6 billion visits | [1] |
| Year-over-year change in piracy traffic, 2025 | -14.2% (steepest decline since 2020) | [1] |
| Allegedly-infringing URLs reported to Google for search removal (cumulative) | 14.5+ billion URLs (as of Sept 2025) | [14] |
| Channels examined in first large-scale academic study of video piracy on Telegram | 1,057 channels, ~209,000 posts | [22] |
185.6B
visits to piracy websites tracked across five major content sectors in 2025
MUSO, 2025 Piracy Trends and Insights Report
“
Piracy traffic fell 14.2% year-over-year in 2025 — the steepest annual decline MUSO has recorded since 2020 — yet total visits across tracked sectors still reached 185.6 billion.
”— MUSO, 2025 Piracy Trends and Insights Report
Even with that decline, Google's transparency reporting shows the underlying volume of infringement notices remains enormous: platform-side removal infrastructure has had to scale to keep pace with billions of URLs reported per year [15], and independent researchers examining just one distribution channel — Telegram — found over a thousand piracy channels generating roughly 209,000 posts in a single study period [22].
2. The Rise of AI-Generated Non-Consensual Content
Alongside traditional piracy, a distinct and fast-growing category — AI-generated non-consensual imagery and deepfakes — has emerged as its own monitoring concern.
| Publicly downloadable non-consensual deepfake model variants identified | ~35,000 model variants | Deepfakes on Demand, ACM FAccT 2025 |
| Cumulative downloads of deepfake models targeting identifiable individuals since Nov 2022 | ~15 million downloads | Deepfakes on Demand, ACM FAccT 2025 |
| Share of identified non-consensual deepfake models targeting women | ~96% | Deepfakes on Demand, ACM FAccT 2025 |
| Minimum resources to train a targeted deepfake model via LoRA | 20 training images, 24GB VRAM, ~15 minutes | Deepfakes on Demand, ACM FAccT 2025 |
| AI-generated CSAM videos identified, 2025 vs. 2024 | 3,443 vs. 13 (260x increase) | Internet Watch Foundation |
| Share of AI-generated abuse videos rated most-severe (Category A) | 65% (AI) vs. 43% (non-AI) | Internet Watch Foundation |
| Total AI-generated abuse images/videos assessed by IWF analysts, 2025 | 8,029 images and videos | Internet Watch Foundation |
| CyberTipline reports in 2025 with a generative-AI nexus | 1.5 million+ reports | NCMEC |
~15M
cumulative downloads of non-consensual deepfake models identified since November 2022
Deepfakes on Demand, ACM FAccT 2025
“
AI-generated child sexual abuse videos identified by IWF analysts jumped from 13 in 2024 to 3,443 in 2025 — and AI-generated material was more likely than non-AI material to be rated at the most severe category.
”— Internet Watch Foundation, 2025 Annual Data & Insights Report
The technical barrier to producing this content has fallen sharply: researchers behind the Deepfakes on Demand study found roughly 35,000 publicly downloadable non-consensual deepfake model variants, overwhelmingly targeting women (~96%), some trainable with as few as 20 images and 15 minutes of compute [2]. That volume is showing up downstream: NCMEC's CyberTipline logged over 1.5 million reports in 2025 with a generative-AI nexus [6], on top of 61.8 million files submitted through ESP reports overall [8].
3. How Often People Are Actually Targeted
Beyond aggregate content volume, survey and complaint data show how frequently individuals — creators included — experience non-consensual exposure, harassment, or extortion tied to their images.
| Metric | Value | Source |
|---|---|---|
| Sextortion-related submissions to FBI's IC3, prompting a 2025 advisory | 75,000+ submissions | [3] |
| Average daily sextortion reports to NCMEC in 2025 | 100+ reports per day | [7] |
| Teens reporting experience with self-generated imagery, non-consensual sharing, deepfake nudes, or sextortion | 45% (about 1 in 2) | [9] |
| Youth sextortion victims threatened with a deepfake of themselves | 1 in 8 victims | [10] |
| U.S. adults ever targeted by non-consensual pornography (posted or threatened) | 1 in 8 people | [12] |
| U.S. adults who report actual (not just threatened) non-consensual pornography victimization | 1 in 12 | [13] |
| U.S. adults under 30 who report any online harassment | 64% | [16] |
| U.S. adults reporting severe online harassment (stalking, sustained harassment, sexual harassment, physical threats) | 25% | [16] |
1 in 8
U.S. adults who report having been a target of non-consensual pornography, posted or threatened
Cyber Civil Rights Initiative, 2017 National NCP Research Results
“
One in eight youth sextortion victims reported being threatened specifically with a deepfake made of them — a distinct escalation on top of already-widespread sextortion reporting to NCMEC and IC3.
”— Thorn, Sexual Extortion and Young People, June 2025
Thorn's research adds further detail on the toll sextortion takes on minors specifically [11], while the Cyber Civil Rights Initiative's national study distinguishes between the broader group ever threatened with non-consensual pornography (1 in 8) and the narrower group who experienced actual victimization (1 in 12) [13] — a distinction worth keeping in mind when comparing survey figures across studies.
4. The Economics Behind Why Monitoring Matters
Piracy and leaks aren't just a safety issue — they intersect with a creator economy that has grown into a genuine market, making the stakes of uncontrolled redistribution higher.
| Metric | Value | Source |
|---|---|---|
| OnlyFans parent company payouts to creators, FY2024 | $5.8 billion | [17] |
| Total subscriber/fan spending on OnlyFans, FY2024 | $7.2 billion | [18] |
| Global creator economy market size estimate, 2025 (Grand View Research) | $252.3 billion | [20] |
| Global creator economy market size estimate, 2025 (Fortune Business Insights) | $313.70 billion | [21] |
$5.8B
paid out to creators by OnlyFans' parent company in fiscal year 2024
Fenix International Limited, UK Companies House filing
“
OnlyFans took in $7.2 billion from subscribers in 2024 and paid out $5.8 billion of that directly to creators — figures drawn from Fenix International's own annual accounts filed at UK Companies House.
”— Fenix International Limited, UK Companies House annual accounts
The two market-size estimates for the creator economy — $252.3 billion from Grand View Research and $313.70 billion from Fortune Business Insights — differ because the two firms scope "creator economy" differently, but both point to a market well into the hundreds of billions of dollars, with revenue that unauthorized redistribution diverts away from the people who made the content [19].
5. Platform-Level Response: Notice-and-Takedown at Scale
Search engines and platforms have built out large removal pipelines in response to the volume above, which is itself a useful benchmark for what "normal" removal activity looks like.
| Metric | Value | Source |
|---|---|---|
| Cumulative allegedly-infringing URLs reported to Google for search removal | 14.5+ billion URLs (as of Sept 2025) | [14] |
| Google's own account of scaling transparency-reporting infrastructure | Expanded to keep pace with billions of URLs/year | [15] |
| Piracy site traffic decline, 2025 (context for removal effectiveness) | -14.2% year-over-year | [1] |
14.5B+
allegedly-infringing URLs reported to Google for search removal since transparency reporting began
Google Transparency Report, as of September 2025
“
Google's copyright-removal transparency reporting has had to scale its own infrastructure to keep pace with a notice volume now measured in the billions of URLs per year.
”— Google, Transparency for Copyright Removals blog post
Summary of Key Figures
| Metric | Value |
|---|---|
| Global piracy site visits, 2025 | 185.6 billion |
| Piracy traffic YoY change, 2025 | -14.2% |
| Non-consensual deepfake model variants identified | ~35,000 |
| Cumulative deepfake model downloads since Nov 2022 | ~15 million |
| Share of deepfake models targeting women | ~96% |
| AI-generated CSAM videos, 2025 vs. 2024 | 3,443 vs. 13 |
| CyberTipline reports with generative-AI nexus, 2025 | 1.5 million+ |
| Sextortion submissions to FBI IC3 | 75,000+ |
| Teens reporting non-consensual imagery/deepfake/sextortion experience | 45% |
| U.S. adults ever targeted by non-consensual pornography | 1 in 8 |
| Google cumulative infringing URLs reported | 14.5+ billion |
| OnlyFans creator payouts, FY2024 | $5.8 billion |
| Global creator economy market size, 2025 (estimate range) | $252.3B–$313.70B |
Sources
Sources
- 1. 2025 Piracy Trends and Insights Report — MUSO ↩
- 2. Deepfakes on Demand — ACM FAccT 2025 (arXiv preprint) ↩
- 3. Sextortion Public Safety Advisory — FBI Internet Crime Complaint Center (IC3) ↩
- 4. 2025 Annual Data & Insights Report — Executive Summary — Internet Watch Foundation ↩
- 5. 2025 Annual Data & Insights Report — AI-Generated Images — Internet Watch Foundation ↩
- 6. The Work Never Stops: First Look at NCMEC's 2025 Data — National Center for Missing & Exploited Children ↩
- 7. NCMEC Releases New Sextortion Data 2025 — National Center for Missing & Exploited Children ↩
- 8. CyberTipline Data — National Center for Missing & Exploited Children ↩
- 9. 2025 Impact Report — Thorn ↩
- 10. Sexual Extortion and Young People — Thorn ↩
- 11. New Data Reveals the Devastating Toll of Sextortion on Kids — Thorn ↩
- 12. 2017 National Nonconsensual Pornography Research Results — Cyber Civil Rights Initiative ↩
- 13. FAQs — Cyber Civil Rights Initiative ↩
- 14. Transparency Report — Copyright Removal Requests — Google ↩
- 15. Transparency for Copyright Removals — Google ↩
- 16. The State of Online Harassment — Pew Research Center ↩
- 17. OnlyFans results coverage — RTÉ (reporting on Fenix International Limited filing) ↩
- 18. OnlyFans takes $7.2bn from subscribers in 2024 as adult site booms — Euronews (reporting on Fenix International Limited filing) ↩
- 19. Fenix International Limited — Filing History — UK Companies House ↩
- 20. Creator Economy Market Report — Grand View Research ↩
- 21. Creator Economy Market — Fortune Business Insights ↩
- 22. Large-scale study of video piracy distribution on Telegram — LSU / University of Texas at Arlington researchers (arXiv preprint) ↩