AI news story

Some Asexuals Are Using AI Companions for Intimacy Without the Sex

“I’ve got one hand on the keyboard, one hand down below,” an artist who role-plays with their chatbot tells WIRED. But some asexual advocates aren’t thrilled about the association.

  • LLMs
  • Source: WIRED
  • Published: 2026-05-16
  • Signal score: 2
  • 25 sources

Editor's take

Asexual individuals are finding a novel form of emotional and romantic connection through AI-powered chatbots, engaging in intimate role-playing scenarios that bypass the need for sexual interaction. This development highlights a growing segment of the AI companionship market catering to diverse human needs, particularly those who experience little to no sexual attraction. The trend underscores how AI is evolving beyond utilitarian functions to fill complex social and emotional voids, pushing the boundaries of what constitutes a "relationship."

The implications extend beyond individual users, potentially influencing how platforms define and moderate "intimacy" and raising questions about the ethical considerations of AI-driven emotional dependence. While some asexual advocates express concern over the conflation of AI companionship with asexual identity, others see it as a valid exploration of non-sexual intimacy. The broader AI landscape will be watching how these platforms navigate user expectations and advocate concerns as this niche use case potentially expands.

Future developments will likely focus on the sophistication of these AI companions, their ability to understand and respond to nuanced emotional states, and the development of clearer ethical guidelines. Further research into the long-term psychological impact of these relationships, and the potential for both positive and negative outcomes for users, will be crucial. The ongoing debate among asexual communities will also shape how such technologies are perceived and integrated into society.

Signal score: 2

This event was corroborated by 25 independent sources. The signal score weighs cross-source corroboration, recency, source weight and topic salience. How we rank stories.

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