{"title":"Who Is Using Pornography Generated by Artificial Intelligence? Correlates of AI-Porn Use and Familiarity in an Australian Adult Sample.","authors":"Joel R Anderson, Lily Moor","doi":"10.1007/s10508-026-03584-1","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) technologies are rapidly transforming how people create and experience sexual content, including the emergence of AI-generated pornography (AI-porn). Yet little is known about who is engaging with this evolving medium. This study presents findings from a cross-sectional survey (data collected in 2025) of 367 heterosexual Australian adults (age range = 19-87 years, M = 39.07, SD = 13.43; 52.5% men, 44.8% women [and 2.2% non-binary, excluded from inferential analyses due to small cell sizes]) examining demographic, ideological, and relational correlates of AI-porn familiarity and use. Overall, 26.0% of participants reported having used AI-porn and were moderately familiar with it. Regression analyses showed that men and younger participants were significantly more likely to be familiar with and to have used AI-porn. Ideological factors (religiosity, political orientation) and relational factors (relationship status, relationship and sexual satisfaction) were not associated with use. These findings suggest that engagement with AI-porn is emerging most prominently among digitally curious younger men, yet appears ideologically broad and not linked (in this data set) to relationship dissatisfaction. As AI tools enable new forms of personalized, creative sexual expression, understanding who is exploring these technologies can help researchers and clinicians track evolving norms around intimacy, fantasy, and sexual media in the digital age.</p>","PeriodicalId":8327,"journal":{"name":"Archives of Sexual Behavior","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Sexual Behavior","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s10508-026-03584-1","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) technologies are rapidly transforming how people create and experience sexual content, including the emergence of AI-generated pornography (AI-porn). Yet little is known about who is engaging with this evolving medium. This study presents findings from a cross-sectional survey (data collected in 2025) of 367 heterosexual Australian adults (age range = 19-87 years, M = 39.07, SD = 13.43; 52.5% men, 44.8% women [and 2.2% non-binary, excluded from inferential analyses due to small cell sizes]) examining demographic, ideological, and relational correlates of AI-porn familiarity and use. Overall, 26.0% of participants reported having used AI-porn and were moderately familiar with it. Regression analyses showed that men and younger participants were significantly more likely to be familiar with and to have used AI-porn. Ideological factors (religiosity, political orientation) and relational factors (relationship status, relationship and sexual satisfaction) were not associated with use. These findings suggest that engagement with AI-porn is emerging most prominently among digitally curious younger men, yet appears ideologically broad and not linked (in this data set) to relationship dissatisfaction. As AI tools enable new forms of personalized, creative sexual expression, understanding who is exploring these technologies can help researchers and clinicians track evolving norms around intimacy, fantasy, and sexual media in the digital age.
期刊介绍:
The official publication of the International Academy of Sex Research, the journal is dedicated to the dissemination of information in the field of sexual science, broadly defined. Contributions consist of empirical research (both quantitative and qualitative), theoretical reviews and essays, clinical case reports, letters to the editor, and book reviews.