This chapter examines how artificial-intelligence systems, robots, and autonomous agents transform the problem of innovation into a problem of guidance—the ability of societies to preserve human authority and legitimacy as decision-making accelerates beyond human tempo. It opens with a five-rung “ladder of futures,” ranging from civilizational rupture to the quiet normality of AI as infrastructure, to clarify what is truly at stake: not intelligence itself, but whether purpose, reversibility, and consent survive scale. Using China’s I5 chain (Ideas → Institutions → Instruments → Infrastructures → Impact) as analytic frame, the chapter traces how doctrine becomes runnable code through four critical interfaces—doctrine schema, policy interface, conformance profiles, and public-service guarantees—and shows how weak hand-offs, rather than weak technology, cause most governance failures. Two empirical tests anchor the analysis. Across both domains, China’s telocratic model—policy-in-code backed by pilots, standards cadence, and reversible rails—contrasts with the United States’ nomocratic remedy-after-the-fact approach. The comparison shows that the decisive variable is interface integrity: systems scale when principles remain auditable from philosophy to paycheck, and fail when meaning leaks between layers. The chapter closes by arguing that the real revolution of AI is not cognitive but constitutional—the creation of technical procedures that let machines act while remaining answerable to human purpose.