Algorithmic Leadership Drift: The Behavioural Consequences of Managing by Metrics

This conceptual paper examines algorithmic leadership drift, a process through which managerial judgement and ethical responsibility are progressively displaced by data-driven systems, performance metrics, and algorithmic decision tools. While such systems are often introduced to enhance efficiency, consistency, and objectivity, the paper argues that their uncritical adoption produces unintended behavioural consequences for managers and organisations alike. Drawing on safety and organisational learning literature - particularly the work of Reason, Vaughan, and Edmondson - the paper reframes algorithmic management as a concealed organisational risk rather than a purely technical advancement. The analysis situates algorithmic leadership drift within a broader transition from Weberian bureaucracy to digital bureaucracy, in which authority becomes embedded in systems rather than roles, and accountability is increasingly diffused. A central contribution of the paper is the concept of behavioural outsourcing, whereby managers shift from leading people to managing representations of work, resulting in cognitive atrophy, reduced ethical reflexivity, and diminished psychological safety. The paper concludes by discussing the implications of algorithmic leadership drift for leadership practice, organisational governance, and the future of human judgement in managerial roles.