ArticleArchives of sexual behavior2026
Prevalence of AI-Supported Sexual Activities Among Adults in Germany: Results from a National Online Survey.
Article in Archives of sexual behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative and conversational artificial intelligence (AI) has introduced new possibilities for digital sexual engagement, extending the established landscape of online sexual activities (OSA) into what can be referred to as AI-supported sexual activities (AISA). Despite growing public and academic interest, empirical data on AISA prevalence, demographic patterns, and subjective experiences are lacking. This study addressed this gap by exploring AISA engagement in a national online sample of 2,658 adults in Germany (aged 18-75) collected in November and December 2024. Specifically, it investigates the prevalence of using AI for non-sexual and sexual activities within the past 12 months (RQ1) and examined how involvement in AISA varies by gender (RQ2), age group (RQ3), and sexual identity (RQ4). In addition, participants' subjective evaluations of AISA were assessed in terms of perceived satisfaction (RQ5). Results showed that 31.6% of participants engaged in at least one type of AISA, with the most common activities being accessing AI-generated sexual information, consuming AI-generated pornography, and using AI for sexual counseling (RQ1). Men (RQ2), younger adults (RQ3), and non-heterosexual participants (RQ4) reported significantly higher engagement across all AISA types. Satisfaction ratings were generally moderate but above the scale midpoint (RQ5). Overall, the findings indicate that AISA is becoming an increasingly present aspect of everyday digital practices, with usage patterns reflecting demographic patterns similar to those observed in OSA. The study underscores the importance of further research into the personal, social, and ethical implications of sexual activities involving AI.
Indexed as
Identifiers
42265505What OpenQuestion holds
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.