Every brief.
The full run, most recent first.
- § 43 · DATA-ECONOMY
China Halts Data-Asset ABS: Exchanges Pull the Handbrake on a ¥200 Billion Pipeline
According to reporting by Caixin (财新) and 财联社 circulated on 3–5 June 2026, the Shanghai and Shenzhen stock exchanges issued window guidance bringing the entire data-asset ABS (数据资产ABS) business chain to a stop — new filings turned away, approved-but-unissued deals told to pause, even issuance-approved deals told to delay. This halts a category that exploded from roughly 11 issuances raising ~¥4.6bn in 2025 to 21 issuances and ¥15.4bn in the first five months of 2026, with a declared pipeline approaching ¥200bn. The stated trigger is mission drift: pure-data-asset deals are under 2% of the market, while local-government financing vehicles (城投/LGFV) used the loose, fast 'data-asset' label to repackage existing non-standard debt as standardised bonds — data as window-dressing, with no real data cash flow behind it. DCC reads the event, the structural reasons, the three審查 gates the exchanges are expected to harden, and what it means for anyone underwriting, rating, or investing in China data-asset financing.
- § 44 · DATA-ECONOMY
What a 'Data-Asset ABS' Actually Securitises — The Collateral Is Data, the Cash Flow Is Not
The name misleads. A Chinese 'data-asset ABS' (数据资产证券化) is labelled as such when data-pledged collateral exceeds 50% of the asset pool — but the underlying assets that actually generate the repayment cash flow are conventional financial claims: supply-chain receivables, trust-loan beneficiary rights, or finance-lease claims. Data is the collateral, the credit-enhancement, or the pricing-and-monitoring tool — not the cash-flow source. This brief, the second in DCC's data-asset-ABS series, unpacks the mechanism overseas counsel need to price the risk: the four live deal structures (trust-loan, receivables, finance-lease, data-empowerment); the difference between accounting recognition (入表) and legal right-confirmation (确权); and the four legal infirmities that make these deals fragile — unsettled data property rights, the true-sale problem created by data's non-exclusivity, the limits of bankruptcy isolation when asset value depends on the originator's continued operation, and the PIPL/DSL eligibility gates. It reads the flagship deals (平安-如皋, 华鑫-鑫欣, 青岛, 杭州高新金投) for what each actually did.
- § 45 · DATA-ECONOMY
From Collateral to Cash Flow: The 'Secondary Licensing' Model That Would Make Data-Asset ABS Real
If today's data-asset ABS is '1.0' — data as collateral behind a conventional debt claim — then '2.0' is the version where the data's own cash flow (licensing fees, data-service subscriptions) directly repays the securities, upgrading data from credit-enhancement tool to genuine underlying asset. This third brief in DCC's data-asset-ABS series examines the structure most likely to get there: the 'secondary licensing' (二次许可) model borrowed from intellectual-property ABS, in which a holder exclusively licenses data to an originator for an upfront lump sum, then takes a reverse exclusive licence back and pays periodic fees that become the ABS cash flow — ownership never moving. It maps the obstacles (data's non-exclusivity defeats 'exclusive licence' and 'exclusive possession'; PIPL/DSL cap what can be licensed; valuation is immature), the finance-lease-of-data variant, and the early policy encouragement (Anhui's March 2026 measures endorsing reverse-licensing). The irony the June 2026 halt exposed: regulators want real data cash flow — which is exactly what 2.0 promises but cannot yet deliver at scale.
- § 46 · DATA-PROPERTY-RIGHTS
Two Paths for the 'Right to Hold Data' — and Why the Narrow One May Add Little
Hong Yanqing (洪延青, 网安寻路人) works through the most unstable concept in China's 'separation of three rights' data-property framework — the Right to Hold Data (数据持有权). He pushes two readings to their logical ends. Path 1, the official 'complete separation' (三权完全切割): if the rights to hold, use, and operate data are truly independent, the holding right shrinks to a bare 'lawful-control state' whose only content is defensive — and that defense is already provided, against the world, by PIPL Article 10, DSL Article 32, the Network Data Security Regulation, and Article 13 of the Anti-Unfair Competition Law, so its incremental value as a standalone property right is thin. Path 2, the 'mother-right' reconstruction (持有权母权化): redefine 'holding' from factual control to a normative control that contains utilization potential, so the rights to use and operate are carved out from within it. DCC's read for overseas counsel: in Chinese data deals the tradeable substance sits in the rights to use and operate plus contract, registration, and compliance — not in 'who holds the data' — and China's data-property theory is still genuinely unsettled.
- § 47 · AI-GOVERNANCE
China's First 'AI Hallucination' Tort Judgment — GenAI Is a Service, Not a Product, and the Chatbot's '¥100,000 Promise' Binds No One
The Hangzhou Internet Court has decided China's first 'AI hallucination' (AI幻觉) tort case — written into the Supreme People's Court's 2026 work report to the NPC. A user asking a chatbot about college applications was told, across seven rounds, that a non-existent campus existed; when finally shown the official website, the model 'apologised' and 'promised' to pay ¥100,000, even generating a fake lawsuit template telling him to sue. He did. The court dismissed every claim and, in doing so, laid down the first judicial articulation of China's generative-AI liability framework: (1) an AI model is not a civil subject, so its 'promise' is no declaration of intent — and is not attributable to the provider either; (2) generative AI is a service, not a product, so fault liability under Civil Code Article 1165 applies, not product liability's no-fault rule under Article 1202; (3) there is no result-based duty to guarantee accuracy for ordinary inaccurate output — only a process duty of care (conspicuous AI-content labelling plus industry-standard accuracy measures), which the provider had discharged; and (4) no proven damage, no causation. For any company deploying GenAI to the Chinese public, this is the operating liability surface and the evidentiary playbook.
- § 48 · HEALTH-DATA
China's Hospitals Get Their Own Data Rulebook: Reading the 2026 Healthcare Data Security & PI Measures
On 12 February 2026 five agencies — the National Health Commission, the Ministry of Public Security, the Cyberspace Administration of China, the National Administration of Traditional Chinese Medicine, and the National Disease Control and Prevention Administration — jointly issued the Measures for the Administration of Data Security and Personal Information Protection of Healthcare Institutions (Trial). It is the first operational, sector-specific rulebook that turns the Data Security Law, PIPL, and the Network Data Security Regulation into concrete hospital obligations: a three-tier core/important/general data classification keyed to MLPS levels and commercial cryptography; a five-pillar full-lifecycle security system; a ten-item data prohibition list and an eight-item personal-information prohibition list; heightened protection for special groups; limits on facial recognition and AI; and a real enforcement chain running from named-person accountability through regulatory interviews, administrative penalties, civil tort liability, and criminal referral. DCC reads it for overseas pharma, medtech, and hospital-JV counsel — with the cross-border choke point and its academic-cooperation carve-out as the parts that most affect global clinical-data flows.