This is the fourth in a series examining the economics of China’s token supply chain. The first article tested how much of China’s 140-trillion daily token consumption represents real commercial demand. The second used SiliconFlow’s IPO filing to show what it costs to sell tokens for a living. The third examined whether reorganizing hardware ownership changes the economics. This article follows the supply chain to its newest participants: local government investment companies and their banks.
The Full Stack of State Capital
Guangzhou’s Huangpu district cut its land-sale revenue forecast by Rmb 3.7bn last year, from Rmb 9bn to Rmb 5.3bn. In the same district, Guangzhou Science City Group (科学城集团) spent Rmb 15m to build a computing cluster and began selling AI inference tokens to local businesses. The group, a state-owned investment holding company, carries Rmb 134bn in total debt. Local governments in the city subsidize token purchases through separate programs. Three banks have started using token-consumption data in credit decisions.
Four layers of state capital are now visible in the same city: a state enterprise owns the asset, retails the output, local government subsidizes the demand, and banks use token-consumption data as one input in credit decisions. Public disclosures do not show that the layers share clients, data, or funds. But the pattern they form is recognizable. Internationally, Japan’s ABCI charges for compute time, the EU’s EuroHPC opens up to 20% of capacity for commercial use, and Abu Dhabi’s Core42 sells multi-model APIs through a sovereign-backed company. Each covers one of these layers. Among documented cases, none combines all four.
Through a technology subsidiary, Science City Group deployed open-source AI models on its servers. The result is a platform called Bay Area Smart City Model Supermarket (湾区智城模型超市), which offers token-based API access to local firms. In March, the group’s industrial park published an eight-point incentive package granting tenants free tokens and development tools. In August, Bank of China, CITIC Bank, and Bank of Guangzhou introduced loan products in Haizhu district, across the city, that incorporate token consumption into credit assessment alongside conventional collateral.
Every step here has a predecessor. State enterprises building infrastructure assets. Local governments subsidizing consumption to generate activity metrics. Banks lending against those metrics. This is the operating system of land finance, where local governments sold land-use rights, subsidized development, and banks lent against rising property values. The token version follows a familiar sequence with a different asset underneath. Tokens cannot be stored, do not appreciate, and are not bounded by geography the way land is. The banks, at least, appear to have noticed.
Ten Cities and One Motive
Huangpu is not alone. At least 10 cities have launched or announced token-service platforms through state-owned enterprises since early 2026, across three models. In the first, state companies build computing clusters and sell tokens directly; Guangzhou’s Science City Group and Beijing’s JingSuan Company take this path. In the second, state companies aggregate models and compute from multiple providers and act as regional wholesalers; Jiaxing, Wenzhou, and Yangzhou work this way. Jiaxing’s platform operator described the role to Southern Weekend as that of a “mover,” not a producer. In the third, state entities organize token exchanges and distribute fiscal subsidies; Guangdong’s Token Exchange and Service Center and Inner Mongolia’s token-trading platform fit this model.
The three models differ in capital intensity. What they share is motive. National land-sale revenue fell from Rmb 8.71tn in 2021 to Rmb 4.15tn in 2025, a 52% decline over four years. More than 82% of local government financing vehicles had formally left official financing-platform lists by the end of 2025, though the underlying debt did not disappear with the change in classification. A Reuters investigation found that many government-backed data centers run at 20% to 30% utilization. More than 100 data center projects were cancelled in the 18 months before the report. Science and Technology Daily, a government-affiliated publication, profiled one computing center where fewer than half the racks were occupied and actual utilization ran at about 30%.
Token platforms are, in large part, a new retail layer for computing assets that need customers. They convert GPU-hours into a finer billing unit, add model routing and API packaging, and attach fiscal incentives. The research found no state-owned token platform that has disclosed auditable revenue, gross margin, or paid-customer retention. Where prices are published, they have not been tested in markets without subsidies.
Budget documents and credit-rating reports can begin to answer the question that platform announcements do not address.
Science City Group is among the few cases where public filings expose the balance sheet behind a local token platform. Separate bank disclosures in Haizhu district show how Guangzhou is beginning to test token data in lending. Whether these pieces form a system or merely coexist is what the numbers can start to test.
Hello China Tech publishes three analyses a week on China’s AI, chips, robotics, and EVs, built from primary sources rather than second-hand coverage. If tracing a state-owned token platform through its credit-rating report and district budget is the kind of reading you want more of, subscribe free and get each one as it publishes.