The article aimed to explain how automation structurally transforms the political dimension of administrative decision-making in public administration. Rather than treating automation as a purely technical or organisational innovation, the study conceptualises it as a governance practice that reallocates judgment, responsibility, and legitimacy within administrative systems. Drawing on contemporary theories of bureaucracy and algorithmic governance, the article argues that automation does not eliminate political choice but displaces it from the moment of individual decision-making to the design of procedures, models, and infrastructures that predefine possible outcomes. To capture this transformation analytically, the article introduces the concept of “points of shift” through which automation reshapes political decision-making. Four such shifts are identified: the shift of legitimacy from public justification to technical authority; the shift of responsibility from individual judgment to system architecture; the transformation of political conflict into technical critique; and the increasing invisibility of political choice through its infrastructural embedding. Particular attention is paid to why artificial intelligence intensifies these shifts. Unlike rule-based automation, AI combines data-driven knowledge production, prediction, and semi-autonomous execution, resulting in adaptive and scalable forms of governance in which normative assumptions are embedded in models rather than articulated through political processes. The article concludes that automation – especially when based on AI – does not depoliticise public administration but produces a new mode of political ordering that is less visible, less localised, and more resistant to democratic scrutiny. These findings of the article have practical relevance for policymakers, regulators, and public administrators by highlighting how political choices are embedded in system design and infrastructural arrangements, thereby informing more reflective approaches to the regulation and oversight of automated decision-making
artificial intelligence; political dimension of governance; algorithmic governance; responsibility; legitimacy; politicality; procedural rationality
Received 03.02.2026, Revised 01.05.2026, Accepted 28.05.2026 Published 25.06.2026
Retrieved from Volume 19, No. 1, 2026
https://doi.org/10.56318/dg/1.2026.05
Pages 5-19