Part III asks what the AI boss of Part II does to the people managed, and this chapter opens it with the most basic question: what happens to a person's autonomy, dignity and sense of control when the instructions, the pace and the judgement of their work come from a system rather than from a manager they can talk to. It concerns three management functions: M1 Direction, because the system assigns, sequences and paces the work; M2 Evaluation, because the same system often measures and rates it; and M5 Care, because the duty to notice a person in difficulty, and to hear their voice, has traditionally been carried by a human relationship that algorithmic direction can remove.
The chapter stages the first of the five debates of Part III in the form AI Threat used for its own: the case for concern, the case for calm, where the positions meet and what can be done, followed by a verdict (34, Nordqvist, 2026).
The best evidence on what algorithmic direction feels like comes from qualitative research on platforms, where algorithmic management first ran at scale. Min Kyung Lee and colleagues studied how ridesharing drivers responded when algorithms assigned and evaluated their work (113, Lee et al., 2015). Rosenblat and Stark followed drivers on one platform over nine months and concluded that the company exercised significant indirect control built on information and power asymmetries: the application knew far more about the work than the people doing it (116, Rosenblat & Stark, 2016). Möhlmann and colleagues found that algorithmic matching and control together produce tensions around how the work is executed, how it is paid and whether workers belong to anything (123, Möhlmann et al., 2021).
Primary topics explored
- Being managed by a machine
- Autonomy, competence and relatedness
- Demand and control
- Algorithm aversion and appreciation
- Measuring autonomy and fairness
- The debate
About AI Boss
AI Boss is Book 7 of The Transformed Architecture. It examines what happens when artificial intelligence takes the manager's chair: algorithmic management of direction, evaluation, consequence, development and care, the effects on people, the management of AI agents, Europe's legal answer, and how to design an accountable AI boss, for European enterprises and public authorities.
It builds on the conclusions of Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat and The Transformed Security Architect.
Executives, line managers, HR and people leaders, works councils and trade unions, public employers, architects and AI governance leads, data protection and legal officers, procurement and programme leaders, and risk, compliance and audit.
Gunnar Nordqvist
Conceived, directed and published the books of The Transformed Architecture.
Continue with the full chapter
Chapter 11: Autonomy, Dignity and Control: Being Managed by a Machine in AI Boss gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “What It Does to People” and is one of 37 drawn from the manuscript.