AI is moving from systems that respond to instructions toward systems capable of pursuing objectives. An agentic AI system can potentially plan, select among alternatives, use tools, communicate with other systems, adapt to changing circumstances, and take actions without human direction at every step. This represents an important expansion of machine autonomy, but it also creates a corresponding question about the place of human agency.
Machine autonomy and human agency are not necessarily opposites. Human beings routinely preserve agency by delegating work to other people, institutions, and technologies. The issue is whether delegation remains governed by the person or organization doing the delegating. Autonomous AI becomes problematic when delegation gradually turns into displacement: when people retain formal responsibility for outcomes while losing meaningful visibility into how decisions are being made, the practical ability to intervene, or even clarity about which decisions have already been transferred to the machine.
The objective should therefore not be to minimize AI autonomy, nor simply to maximize it. It should be to determine which forms of machine autonomy remain compatible with meaningful human agency. That requires explicit authority, bounded autonomy, observable actions, appropriate escalation, and the practical ability to alter or reclaim delegated functions. As machines acquire greater capacity to decide how objectives should be achieved, human agency can no longer be assumed simply because a person initiated the process. It must be deliberately preserved in the architecture of the relationship between human and machine.