Artificial intelligence (AI) is increasingly shaping healthcare by processing large data volumes, improving decision-making, and streamlining workflows. At the same time, person-centred care (PCC), which emphasizes individualized, empathetic, and context-sensitive healthcare, is widely recognized as a gold standard. While AI-based digitalisation and PCC are often seen as operating under distinct logics, this study explores how AI may influence the practice of person-centred care in clinical settings. The aim of this study was to explore how AI-assisted triage influences the delivery of PCC in primary care. Drawing on 39 semi-structured interviews with healthcare leaders, professionals, and patients, and guided by theoretical framework on PCC, we conducted an abductive qualitative content analysis. Interviews took place between November 2022 and May 2023, focusing on participants’ experiences with AI in clinical settings. Findings indicate that AI-assisted triage can support PCC by reinforcing clinical judgment, facilitating patient narratives, and enhancing both safety and accessibility. Patients valued AI’s objectivity and its capacity to assist in articulating health concerns yet underscored the irreplaceable value of human interaction. Trust, transparency, and clinician oversight emerged as critical conditions for AI to support PCC, with participants expressing caution regarding AI’s autonomous application. AI was found to shift traditional patient-provider dynamics, promoting patient responsibility while also introducing challenges related to self-diagnosis and rigid AI questioning. Participants consistently emphasized that AI should serve as a complement, rather than a substitute for human interaction, to preserve empathy, transparency, and individualized care. In conclusion, AI has the potential to support PCC by amplifying patient voices, enhancing access, and informing clinical decisions. However, its impact is contingent upon thoughtful integration, cultivating of trust and transparency, and incorporating diverse user perspectives in the design and deployment of AI systems. Additionally, training healthcare professionals for AI-supported environments is crucial to realizing these benefits.