The app Your AI Psychic hosts more than a dozen chatbot personalities, each billed as a psychic offering chat, video or voice readings. Users purchase virtual coins, with a single question costing roughly four coins; packages range from a nine-dollar “quick question” to a hundred-dollar “ongoing guidance” bundle. The service displays AI-generated avatars, such as a smiling woman among palm trees, and delivers predictions about marriage, aura colour and past-life occupations.
Your AI Psychic joins a growing ecosystem of platforms that promise algorithmic insight into love, career and health. Human psychics have taken to TikTok Live, where AI-generated readings attract dozens of views, and to Etsy, where automated horoscopes and spells flood the marketplace. Practitioners argue that machine-produced counsel lacks the empathy and personal connection they consider essential to authentic divination.
Coach Kellett, who trains newcomers in psychic development, says she now teaches clients how to spot AI-generated services masquerading as human work. She notes a surge in “rampant” instances of bots passing themselves off as real practitioners, prompting users to share video proof of their humanity. This shift reflects broader anxiety among spiritual workers about the erosion of trust in the digital sphere.
Mental-health experts warn that turning to chatbots for emotional support may exacerbate existing conditions. Research on large language models indicates they can heighten paranoia in vulnerable individuals, echoing concerns raised about AI-driven therapy. Human psychics typically refuse to answer questions about health or finances, citing the risk of high-stakes decisions being made on unreliable, non-human advice.
Psychic Ahna Hendrix, who consults the Akashic Records rather than channel spirits, emphasizes empowerment over prescriptive guidance. She contends that AI chatbots are less inclined to foster client agency, instead delivering deterministic statements. This perspective underscores a key distinction between human intuition, which often frames advice as a collaborative process, and algorithmic outputs that lack nuanced judgment.
Anthropologist Sally Applin observes that people have long used search engines as informal oracles, a practice now amplified by large language models. In her co-authored chapter, she describes LLM interactions as a modern form of divination that still requires users to interpret and re-ask questions until satisfied. However, she cautions that these models draw only on statistical patterns, missing the cultural and personal contexts that shape traditional readings.
MystiCall, another AI-driven service, claims its conversational engine was trained on “three generations of clairvoyants,” a phrase the co-founder says refers to family practice. The platform combines ElevenLabs’ voice synthesis with OpenAI’s summarisation tools, and asserts that it does not sell conversation data, target users with ads, or use the recordings for further model training. The company says it disabled data sharing for its technology partners.
Kellett remains skeptical about the opacity surrounding data handling in many AI psychic apps. She reports that several platforms have approached her for training data but disappear when she requests transparency. While some fear job displacement, she believes that even a fully trained model could not replicate the intuitive leap she teaches, suggesting that true psychic insight remains beyond current AI capabilities.