The AI-Native State: What It Is and Where the Boundary Lies

Evgeny begins with electronic prescriptions in Belarus and the gap between digitizing agencies and completing a citizen’s task. Alexander explains why consistent rule application and business competition create different incentives. Aleksey proposes helping employees with documents and communication; Alexander distinguishes this assistance from autonomous systems requiring infrastructure, authority, and controls.

Delegating rule execution to agents raises questions about reversibility and correction. Alexander compares earlier digital failures and warns about support channels that only produce automated refusals. Evgeny describes an acquaintance whose agent helped escalate a bank-account refusal and correct an outdated flag. Another everyday example is a small neighbourhood comparison service assembled from separate sources.

Aleksey uses Hyrum’s Law as an analogy for dependencies around awkward procedures: removing complexity can cost someone influence. The hosts discuss employee initiative, leadership example, government data, and possible dependence on AI labs. Aleksey emphasizes capable people and conviction that change is possible; Alexander stresses institutional history and the limits of transferring experience from small countries.

In the closing discussion, Aleksey suggests that subtle communication skills could help manage agent systems, while observing that a model can introduce its own interpretations when explaining books. Alexander questions the need to import political techniques into an engineered system and returns to clear goals and consistent information. The conversation concludes with a scenario of gradual digitization assisted by AI; the prospect of a larger leap remains disputed.