From project delivery to economies of scale, what is the Physical Token economics across dimensions?
In 2026, embodied intelligence is moving from laboratories to industrial and commercial applications. Jia Kui, founder of CrossDimension, proposed the Physical Token economics framework, aimed at addressing cost-efficiency issues in scale expansion. This framework quantifies the production efficiency of physical intelligence as “the resources required for one unit of reliable intelligence,” with the core focus on verifying whether capacity expansion can lead to a decrease in marginal costs, thereby creating economies of scale. Unlike traditional methods that focus solely on hardware BOM or single-project ROI, Physical Tokens break down data into three components: infrastructure, acquisition, and utilization efficiency for tracking. CrossDimension constructs a full-link cost optimization path from pre-training to real-world deployment through four steps: human experience accumulation, synthetic leverage expansion, capacity aggregation and compression, and flywheel expansion. This approach aims to reduce the cost of new capabilities as applications expand, promoting Physical AI from project delivery to economies of scale.