This chapter develops the concept of ‘algorithmic managerialism’ to show how long-standing managerialist ideology is digitally intensified rather than replaced. Algorithms embed managerial discretion in code, automating surveillance, standardising tasks, shaping emotions and narrowing worker judgement and collective voice. The chapter contrasts critical research – viewing algorithmic systems as sociotechnical mechanisms that exacerbate power asymmetries – with managerialist accounts that frame algorithms as neutral efficiency tools. It examines augmentation (AI-guided enhancement of emotional, diagnostic, and decision capacities) as a form of control that individualises responsibility and weakens solidarity, and it recasts Taylor’s four principles as ‘digital Taylorism,’ where algorithms perform surveillance, task design, enforcement, and separation of conception from execution. The result is intensified work, reduced autonomy, precarity, invasive monitoring, and biased decision-making. Recognising algorithmic managerialism as political rather than technological opens space for democratic alternatives to algorithm design, deployment, and governance.