Summary of Key Points
The Ministry of Industry and Information Technology (MIIT) has launched a special initiative to cultivate artificial intelligence (AI) service providers, with the goal of establishing a resource pool comprising 3,000 service providers by the end of 2027. This initiative aims to address the current challenges faced by AI service providers, such as unclear resource availability, uneven delivery standards, lack of a cohesive business model, and a weak service ecosystem, and to promote the integration of AI across various industries. Additionally, the MIIT is taking steps to facilitate the transition of the AI industry from technology research and development to commercialization by establishing standards and providing policy support, such as offering subsidies for computing power and encouraging the first-time use of AI services.
Why This Special Initiative?
There are several compelling reasons behind this initiative:
1. Addressing Industry Challenges: The country has been actively promoting the integration of AI in various sectors (such as manufacturing, healthcare, and government services), but there are significant issues with the AI service providers that act as the intermediaries between technology and industry needs. These issues include:
- Unclear Resource Availability: It is difficult for companies to identify reliable AI service providers nationwide, making it hard for them to find suitable solutions.
- Inconsistent Delivery Quality: Some service providers are capable of implementing AI in complex scenarios (e.g., industrial quality inspection), while others struggle to provide even basic services.
- Lack of a Profitable Business Model: Many AI projects fail to generate sufficient revenue due to unclear pricing models and difficulties in project implementation.
- Weak Service Ecosystem: There is a lack of collaboration among service providers, and the necessary infrastructure (e.g., computing power, data, and models) is not well-connected.
2. National Strategic Focus: The "14th Five-Year Plan" and other government documents have explicitly called for the development of AI service providers. Therefore, the MIIT's action is in line with national strategic objectives.
Specific Goals
The initiative has clear timelines and objectives:
- By the end of 2026: The resource pool should include more than 2,000 service providers, representing a diverse range of companies with the capability to deliver AI solutions for complex scenarios (e.g., smart factories and smart cities).
- By the end of 2027: The resource pool should consist of at least 3,000 service providers, creating a comprehensive AI service ecosystem that integrates all necessary elements (technology, data, and talent) and covers all industry segments.
Provinces with national AI industry leadership centers (e.g., Beijing, Shanghai, Guangdong) are required to have no fewer than 100 local service providers by the end of 2027.
Implementation Strategies
To achieve these goals, the MIIT has outlined four key tasks:
1. Establishing a Resource Pool: A database of reliable AI service providers will be created to facilitate both company searches and government regulation.
2. Enhancing Service Capabilities: Service providers will be encouraged to establish "FDE Teams" (frontline engineers) to address users' needs on-site and to connect with national computing power platforms. The government will provide subsidies to reduce the cost of computing power.
3. Promoting Large-Scale Adoption: Measures such as preferential treatment for local service providers in government and corporate AI projects and risk compensation in case of project failures will be implemented to encourage more companies to adopt AI services.
4. Improving Support Systems: The government will make national project data and models available for service providers to use, optimize AI development tools, and establish online platforms for information sharing.
Impact on the Industry
According to an analysis by Guotou Securities:
- Shift in Focus: The Chinese AI industry is shifting from focusing on technology development to commercialization, with 2026 being a critical milestone.
- Ecosystem Division of Labor: Large companies (e.g., Baidu, Alibaba) will control computing power and general AI models, while specialized companies will focus on specific industry segments (e.g., healthcare, manufacturing) and provide comprehensive solutions.
- Key Indicators: The "Token Consumption" (a measure of AI model usage) will become an important indicator of a company's level of intelligence. Pricing power will lie with companies that possess unique industry-specific data, as their AI services will be more valuable.
Standardization
The MIIT is developing standards for AI service providers, including:
- Basic Requirements: What capabilities service providers must possess (e.g., consulting, implementation, operation).
- Maturity Assessment: A rating system will be implemented to evaluate service providers and help users make informed choices.
- FDE Team Skills: Specifications for the skills required of frontline engineers will also be established.
These standards will ensure that service providers operate in a regulated manner, preventing overcharging and poor service quality, and will give users more confidence in the AI services they use.
Conclusion
This special initiative represents a practical step by the government to advance the adoption of AI. By nurturing AI service providers, the government aims to bridge the gap between technology and industry needs, enabling AI to be effectively integrated in various real-world applications. For companies, this will create opportunities to profit from specialized data in specific sectors. For the general public, AI services are expected to become more widespread, leading to improved experiences in areas such as healthcare and logistics. The AI industry is on the verge of transitioning from a research phase to a market-driven phase, with significant commercial potential.