The Rise of Agentic AI
Systems that plan and execute multiple steps blur the line between tool and delegate.
The Mechanism: Agentic AI describes systems that pursue a specified objective through multiple steps, such as selecting tools, gathering information, and adapting actions. Their autonomy is bounded by design, permissions, and the environments in which they operate.
The Philosophical Pivot: Delegation is a transfer of work, not necessarily a transfer of responsibility. When a system makes choices on someone's behalf, the person affected may not know which assumptions shaped the action or how to contest it.
The Horizon: As automated agents enter workplaces and services, accountability must remain legible across developers, operators, and decision-makers. Efficiency cannot be the only measure when a system can act faster than people can understand its consequences.
A responsible delegation needs clear limits, confirmation for consequential actions, and a way to interrupt or reverse a mistake. These are governance choices, not merely interface refinements.
The agent may execute the plan, but people and institutions remain responsible for choosing the goal and accepting the consequences.
A delegated action still has an author, even when the author is hard to find.
What action would I never delegate unless I could inspect, interrupt, and answer for the result?