China's MIIT: Exploring First-Purchase Model to Boost Procurement of Large Language Models and AI Agents
nashnova research
China's MIIT is piloting first-purchase, first-use and risk-compensation mechanisms to boost procurement of large models and AI agents, targeting at least 3,000 AI application service providers by end-2027 — the first time Beijing has written buyer-side risk-sharing for AI services into formal policy.
What does "first-purchase, first-use" actually mean?
First-purchase, first-use means government bodies or state firms buy and deploy a new AI product before the market has validated it — effectively giving unproven services a ticket to the table.
The paired risk-compensation mechanism covers part of the buyer's loss if the product underperforms.
This means → The policy goes beyond telling enterprises to "embrace AI." It puts public money behind reducing the buyer's trial-and-error cost, taking the "who dares go first" question off the table.
The service-provider pool — what do the 2,000-to-3,000 targets signal?
The notice sets a two-step goal: over 2,000 providers by end-2026, at least 3,000 by end-2027, forming a nationwide pool.
Provinces hosting a national AI industry pilot zone must list no fewer than 100 local providers.
In plain terms = MIIT first wants to map every capable AI service provider in the country, then publish the list so buyers can order off a verified menu — solving the "don't know whom to buy from" problem.
How does the "service-team" model work?
Each region must submit at least 10 "AI application service teams," each led by one provider plus at least two upstream or downstream partners.
These teams bundle large models, data, and domain expertise into turnkey solutions so enterprises skip the assembly work.
This means → The policy logic shifts from "sell a standalone model" to "sell a complete service package" — for SMEs, buying a ready-to-run bundle is far more practical than building a system from scratch.
What are the other support levers — overseas expansion and compute?
Eligible regions can use Belt and Road, BRICS, and China-ASEAN cooperation platforms to take AI projects abroad.
On the compute side, providers are encouraged to tap national computing-network hub nodes and use "compute vouchers" to cut costs.
This reflects an ambition beyond domestic procurement: compress the cost of using models at home with vouchers, while pushing providers overseas through multilateral frameworks.
What is the real thing to watch?
Key deadline: all regions must report their provider pools and service-team rosters to MIIT by December 1, 2026.
MIIT will set up a standing review mechanism, tilting policy and project resources toward regions that show results.
In plain terms = Issuing the document is not the same as landing the policy — whether first-purchase and risk-compensation actually pull enterprise-side AI procurement volumes higher is the core metric that will determine success or failure.
市场有风险，内容仅供研究参考，不构成投资建议。