ArticleArchives of sexual behavior2025
The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites.
Article in Archives of sexual behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- From Friends to Lovers: Understanding Motivations and Barriers in AI Companionship.Archives of sexual behavior · 2026Article
- Compulsive sexual behavior disorder (CSBD) and problematic pornography use (PPU): A comprehensive, interdisciplinary, and expert-informed narrative review with suggested future directions.Journal of behavioral addictions · 2026Review
- "I Could Practice Flirting Without Pressure": A Proof-of-Concept Study of an AI Chatbot-Assisted Intervention for Men Facing Distressing Involuntary Singlehood.Archives of sexual behavior · 2026Article
- Experiences with AI-Generated Pornography: A Quantitative Content Analysis of Reddit Posts.Archives of sexual behavior · 2025Article
- Prevalence of first- and second-wave digisexualities in Germany and their relation to Compulsive Sexual Behavior: Findings from a National Online Survey.Journal of behavioral addictions · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fueled by advances in artificial intelligence (AI), the adult entertainment industry is undergoing a significant transformation. AI-generated pornography-or AI porn-is reshaping how people create and consume sexually explicit content, progressively offering rapid, mass access to large quantities of interactive and highly customizable experiences. Yet, despite its accelerated growth and potential implications for human eroticism, the current state of AI porn remains underexplored. Using a qualitative inductive content analysis, this study examined the functionalities, production strategies, and customization options available on websites allowing AI porn generation (n = 36). All websites included an English language option, which was used for this analysis. Following systematic open coding, categorization, and inter-rater validation, the prevalence of each category was quantified across website data. Results suggest that most sites presently enable image generation (80.6%), with others allowing video generation (41.7%), content alteration (e.g., deepnude, upscaling, facemorphing; 2.8-55.6%), and interactions with artificial agents (44.4%). AI porn generation also predominantly relies on feature selection (97.2%) and/or prompting (72.2%) to customize content elements, including character bases (e.g., human, fictional; 11.1-94.4%), sociodemographic characteristics (27.8-86.1%), body features (72.2%), clothing (75.0%), as well as foundational (resolution, theme, point-of-view; 22.2-69.4%) and contextual aspects (e.g., weather, setting, lighting; 11.1-63.9%). Carrying significant social and ethical implications, these findings point to a gradual evolution toward an AI-driven porn landscape where individuals can create and interact with sexual content tailored to their preferences and fantasies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.