The article explores the transitive model of digital statehood as a conceptual response to systemic challenges arising from the dynamic digital transformation of public governance. The author argues that traditional models of state administration no longer provide adequate responses to the rapid evolution of digital tools, infrastructures, and agents that operate within new decision-making spaces — from distributed ledgers to autonomous cognitive systems. Therefore, the concept of transitivity is proposed as a theoretical framework to describe the transition from classical hierarchical forms of statehood to complex, open, and dynamic digital architectures.The methodological foundation of the research combines three complementary approaches: the system-synergetic, institutional-cognitive, and network-platform paradigms. The system-synergetic approach makes it possible to view public governance as a complex open system capable of self-organization and the emergence of new structures in response to external digital impulses. The institutional-cognitive paradigm captures the changing logic of institutional functioning in the context of decentralized knowledge and functions, while the network-platform approach focuses on understanding the state as a digital platform where decisions are formed through the interaction of multiple agents — both human and algorithmic.Within the proposed transitive model, a three-level architecture of digital statehood is introduced: (1) the institutional core, which undergoes cognitive reconfiguration under the influence of digital agents; (2) the infrastructural level, based on the integration of AI and blockchain technologies into functional management mechanisms; (3) the level of external agents — platforms, networks, and users — that actively participate in shaping public decisions. Particular attention is paid to the analysis of smart contracts as a new institutional unit that enables automated, conditional, and irreversible execution of public governance decisions.It is demonstrated that the integration of blockchain and artificial intelligence alters the principles of trust formation, legitimacy, and accountability in digital interaction. At the same time, digital logic becomes the driver of institutional evolution — from fixed models to flexible, adaptive mechanisms functioning in a mode of permanent recalibration. The article also reveals the phenomenon of «post-institutional reflexivity,» in which the role of the state is reimagined — not as a monopolist of authority but as a cognitive integrator of data, platforms, and meanings.The practical value of the study lies in the proposed theoretical construct, which may be applied to the design of digital policy frameworks, the transformation of governance processes in the public sector, and the assessment of risks associated with technological dynamics. The article provides a foundation for further research into the formalization of trust mechanisms, automated decision legitimation, and the synthesis of governance strategies in complex digital environments.
Maksym Sikalo (Sat,) studied this question.