In an interview with Cyzone during the 2026 DEMO CHINA event, Vertex Ventures China managing partner Xia Zhijin argued that embodied AI will not end in a winner-take-all market and may end up less concentrated than the auto industry, with many scenario-specific leaders rather than one general-purpose company covering every use case. He said deployment will be gradual, with robots of different forms targeting different domains over the next few years before capabilities become more general beyond five years. Xia identified data as the biggest bottleneck for embodied foundation models, citing high cost and low information density compared with internet text, and said data companies should layer cleaning, labeling and downstream use on top of collection to avoid price wars and homogenization; he added that simulated data can help generalization and long-tail corner cases across pretraining and later training stages.