| Sumario: | As the mid-2020s unfold, the ancient discipline of homoeopathy and the rapidly evolving field of artificial intelligence (AI) are meeting in increasingly tangible ways within education, research and clinical practice. Homoeopathy, grounded in the concept of the vital force and the law of similars, relies on detailed individualisation and qualitative understanding of the patient. In contrast, AI systems are designed to recognise generalisable patterns across large datasets and generate probabilistic outputs. This tension creates a dual edge: on one side, AI offers unprecedented support for repertorisation, research analytics and clinical safety nets; on the other, it risks de-individualisation, protocol-driven prescribing and ethical opacity. This article examines how AI can bolster evidence generation, cognitive support and real world data analysis in homoeopathy, whilst also exploring its philosophical and ethical limits. A "high-tech, high-touch" model is proposed in which AI remains a powerful tool serving, rather than replacing, the homoeopathic physician.
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