Embodied AI Chip Market Heats Up as Multiple Players Race for Dominance - Pandaily

The embodied AI chip market is witnessing unprecedented competition as companies race to develop processors capable of running artificial intelligence directly on robots, autonomous vehicles, and smar... Read original →

The embodied AI chip surge reflects AI's irreversible shift from cloud to physical agents. Technically, 3nm and EUV define the high-end frontier, yet soaring power demands are accelerating RISC-V and in-memory computing adoption in mid-tier segments, disrupting IP licensing and EDA ecosystems. Geopolitically, U.S. export controls on advanced lithography tools have compelled Chinese firms to fast-track Chiplet-based designs—raising near-term R&D costs but fortifying domestic packaging and materials supply chains. In market strategy, NVIDIA leverages Jetson Thor’s raw throughput, while Qualcomm targets industrial robotics via system-level integration; Horizon and Black Sesame counter by co-developing with Li Auto and XPeng to lock in algorithm-chip-scenario synergies. Over the next 12–24 months, only players mastering automotive-grade certification, real-time robot OS, and efficient large-model deployment will survive the coming consolidation wave—generic AI chip vendors without vertical integration face obsolescence.