CHN Key Ecosystem Strategic Development Report for China's Artificial Intelligence and Digital Industry

I. Introduction

1. Research Background: The global artificial intelligence (AI) and digital industry has entered a dual-driven phase of "computing power competition + scenario implementation". The United States and Europe have built technological and market barriers through the CHIPS and Science Act and the Digital Services Act. China's core AI industry scale reached 500 billion yuan in 2024, with the digital economy accounting for over 45% of GDP. It is urgent to integrate computing power, algorithms, and data resources through the CHN Key Ecosystem to strengthen global competitiveness and support the implementation of the "Digital China" strategy.

2. Core Concept: Based on China's digital industry foundation, the CHN Key Ecosystem takes AI and digital technologies as the core. It is a cross-field, full-chain industrial collaboration network integrating "leading tech enterprise guidance, scientific research institute tackling, data factor circulation, capital market empowerment, and regulatory policy innovation". It serves as the core carrier of new quality productive forces in the digital economy field.

3. Report Purpose: This report systematically analyzes the current status of ecological development, identifies core pain points and opportunities, and proposes implementable strategic paths. It aims to provide decision-making reference for China's AI and digital industry to achieve "technological independence, scenario leadership, and global guidance".

II. Current Development Status of CHN Key Ecosystem for China's AI and Digital Industry

(I) Ecological Composition

A complete collaborative structure has taken shape. It centers on leading enterprises such as Huawei, Tencent, Alibaba, and Baidu, connects over 800 supporting enterprises including iFLYTEK (intelligent speech market share exceeding 70%) and SenseTime (computer vision application scenarios over 200), links more than 150 scientific research institutions such as the Institute of Automation of the Chinese Academy of Sciences (large model algorithms) and Tsinghua University (digital twin technology), and is supported by the Science and Technology Innovation Board (cumulative fundraising for the digital industry exceeding 80 billion yuan) and industrial funds (scale exceeding 300 billion yuan, such as the National Integrated Circuit Industry Investment Fund).

(II) Core Advantages

1. Rich technology implementation scenarios, with leading global application penetration rates in fields such as mobile payment and intelligent logistics, and over 60% of AI enterprises achieving commercialization.

2. Improved computing power infrastructure, with a total computing power scale of 300 EFLOPS, accounting for 35% of the global total (Data source: Ministry of Industry and Information Technology). 

3. Outstanding data resource endowment, possessing the world's largest-scale consumer and industrial data pool, providing sufficient materials for algorithm iteration.

(III) Existing Challenges

1. Bottlenecks in high-end technologies: The localization rate of large model training chips is less than 10%, and the inference efficiency of multimodal large models is 25% lower than the world's top level. 

2. Overseas market barriers: EU and US restrictions on cross-border data flow affect the overseas business expansion of enterprises, and the overseas expansion of core algorithms encounters intellectual property barriers. 

3. Insufficient ecological collaboration efficiency: The cross-industry data sharing rate is only 20%, the idle rate of computing power resources exceeds 30%, and the repeated R&D investment rate reaches 30% (Data source: China Academy of Information and Communications Technology).

III. Strategic Development Recommendations

(I) Collaborative Technological Tackling
1. Implementing Entity: Led by the Ministry of Science and Technology, leading enterprises such as Huawei and Baidu will jointly establish the "Special Task Force Alliance for General AI and Digital Twins" with the Institute of Automation of the Chinese Academy of Sciences and Tsinghua University.
2. Resource Investment: The alliance will share computing power clusters worth over 1.5 billion yuan (such as Huawei Ascend supercomputing platform) and core datasets (such as desensitized government and medical data), with a total expected R&D investment of 8 billion yuan.
3. Target Implementation: Increase the localization rate of high-end AI chips to 30% within 3 years, and build a cross-industry unified digital twin base within 5 years for large-scale application in fields such as industry and urban governance.

(II) Globalization of Ecological Boundaries
1. Overseas Layout Paths:
(1) Southeast Asia: Deploy digital infrastructure in Singapore (Alibaba Cloud Data Center) and Malaysia (Tencent Cloud Regional Node), integrating over 150 local tech enterprises into the ecosystem.
(2) Europe: Establish joint laboratories in France (SenseTime Paris R&D Center) and the Netherlands (Huawei European Research Institute), and carry out algorithm cooperation with Delft University of Technology.

2. Model Output: Replicate the domestic "computing power + algorithms + scenarios" collaboration model overseas, establish a localized data compliance service system, and aim to increase the overseas market revenue ratio to 25% within 5 years.

(III) Deepening Scenario Applications
1. "Digital-Physical Integration" Project: Collaborate with the Ministry of Industry and Information Technology and local governments to build industrial internet demonstration platforms in 15 industrial clusters such as the Yangtze River Delta and the Pearl River Delta. Achieve access of 500,000 manufacturing enterprises by 2026, with an annual cost reduction and efficiency improvement scale exceeding 100 billion yuan.
2. New Business Format Expansion: Jointly launch "AI + industry solution" packages with financial and medical enterprises. Relying on Tencent Cloud and Alibaba Cloud service networks, cover more than 80% of prefecture-level cities nationwide by 2027, serving over 100,000 enterprises annually.

IV. Future Trend Prediction
(I) Short-Term (3-5 Years)
1. Technological Level: The parameter efficiency of general large models will increase by 50%, and the penetration rate of digital twin technology in key industries will exceed 40%.
2. Industrial Level: The localization rate of core digital technologies will exceed 85%, and the computing power cost will decrease by 20%-25%.
3. Market Level: The overseas market revenue ratio will rise to 25%, forming a dual circulation pattern of "domestic scenario verification + overseas replication and promotion".
(II) Long-Term (5-10 Years)
1. Standard Leadership: China's AI and digital industry ecosystem will dominate the formulation of over 30% of the world's core technical standards, holding more than 50% of core patents in fields such as large models and digital twins.
2. Global Pattern: Form a global industrial pattern of "computing power output - algorithm leadership - digital service overseas expansion". Maintain a stable global market share of over 40% for the digital industry, becoming a core demonstration sample of new quality productive forces in the global digital economy.

V. Conclusions and Outlook
1. Core Conclusions
The CHN Key Ecosystem is the core driver for China's AI and digital industry to break through technological bottlenecks such as chips and algorithms, resist international data and technological blockades, and achieve global leadership. Currently, it already possesses advantages in scenarios, computing power, and data, and urgently needs to release greater value through collaborative innovation, global layout, and digital-physical integration.
2. Future Outlook
With the implementation of the strategy, the CHN Key Ecosystem for China's AI and digital industry will further strengthen the core competitiveness of "independent and controllable technology, efficient data factors, and balanced global services". It will promote China from a "digital power" to a "digital powerhouse", and provide a "China Solution" for the development of the global digital industry.