The Chinese digital advertising landscape in 2026 has moved beyond the era of simple programmatic efficiency into a new paradigm of autonomous, high-concurrency, and privacy-centric intelligence. For the leadership of an AI-driven Demand-Side Platform (DSP), understanding this shift is not merely about observing trends; it is about recognizing a fundamental architectural transformation. The transition from “search-based” advertising to “discovery-based” commerce—powered by the convergence of Agentic AI and closed-loop ecosystems—has redefined the requirements for real-time bidding (RTB), creative optimization, and data utility.