This working paper argues that the common question of whether AI can “substitute” human cognition is structurally misplaced. The TID triad (Trackness, Incubativity, and Delegability) does not describe operational capacities that compete with computational performance; it describes regulatory functions that condition and constrain epistemic agency under acceleration. Trackness regulates epistemic direction over time without premature closure; Incubativity sustains a problem in an actively unresolved state until it reaches epistemic maturity; Delegability determines what can be externalized, when, and under which conditions delegation remains reversible. Because Delegability defines the boundaries of delegation, it is self-referentially non-delegable. AI systems can accelerate tasks governed by TID, but cannot replace the regulatory functions themselves without collapsing epistemic regulation—manifesting as Epistemic Unpreparedness (UnPreP): high fluency and output paired with weakened direction, compressed incubation, and opaque delegation boundaries. The paper concludes that what remains distinctively human under AI-driven acceleration is not execution but the regulation of direction, incubation, and delegation, and it motivates an institutional and educational shift toward cultivating Epistemic Preparedness (PreP) in agent-mediated environments. Author keywords (free terms): Trackness; Incubativity; Delegability; TID triad; PreP; UnPreP; epistemic regulation; epistemic agency. Version: v0.2 (CB_01).