Abstract
Artificial intelligence (AI) is increasingly positioned as a strategic solution to mounting pressures within the UK health sector, including workforce shortages, rising demand, and financial constraints. National policy initiatives such as Data Saves Lives and the NHS Long Term Plan frame AI as a catalyst for improved efficiency, clinical decision-making, and patient outcomes. Despite this policy momentum, implementation across UK health and social care remains uneven and frequently confined to pilot initiatives rather than sustained organisational transformation. This paper argues that such explanations are incomplete. Drawing on critiques of technology acceptance and adoption-oriented models, the study demonstrates that individual-level constructs such as perceived usefulness and behavioural intention are insufficient for understanding AI implementation in complex public healthcare systems. Adoption does not equate to integration, and ethical concerns cannot be reduced to issues of perceived risk. Rather, AI implementation constitutes a socio-technical transformation that reshapes professional authority, accountability structures, and decision-making processes. By shifting analytical focus from adoption outcomes to leadership practices, this developmental paper reframes AI implementation as a capability challenge rather than a technology deployment problem. The framework provides a foundation for future empirical research examining how leadership mediates organisational readiness and long-term AI sustainability in the UK health sector.
Keywords: Artificial Intelligence (AI), Healthcare Leadership, Ethical AI Governance, NHS Digital Transformation, Leadership Capabilities, Socio-Technical Systems
Track: Organisational Transformation Change and Development