The Impact of AI in China: A Comprehensive Overview

“Technology is nothing. What’s important is that you have faith in people, that they’re basically good and smart, and if you give them tools, they’ll do wonderful things with them.” – Steve Jobs. This quote resonates deeply as we explore how artificial intelligence is reshaping China’s economy and society. From healthcare to autonomous vehicles, AI is driving unprecedented change.

China’s rapid adoption of AI technologies is transforming industries. With over 4,500 AI companies, the nation is a global leader in innovation¹. Government policies and investments are fueling this growth, making China a hub for research and development. J.P. Morgan Research highlights AI’s disruptive influence in sectors like healthcare and infrastructure².

This article provides a detailed analysis of AI’s role in China. It covers key trends, challenges, and opportunities, offering insights for U.S. policymakers and investors. Stay tuned to understand how AI is shaping the future of one of the world’s largest economies.

Key Takeaways

• China hosts over 4,500 AI companies, making it a global leader in innovation¹.
• AI is transforming industries like healthcare, autonomous vehicles, and infrastructure².
• Government policies and investments are driving rapid AI development.
• China’s AI industry is projected to reach RMB 1.73 trillion by 2035¹.
• U.S. investors and policymakers can gain valuable insights from China’s AI advancements.

Introduction to AI in China

From early experiments to global leadership, China’s AI journey is remarkable. Over the past few decades, the nation has transformed into a powerhouse of artificial intelligence, driven by strategic investments and groundbreaking research. This section explores the historical milestones and current trends shaping China’s AI landscape.

Historical Evolution and Key Milestones

China’s AI evolution began with foundational research in the 1980s. Early experiments focused on basic algorithms and data processing. By the 2000s, the government recognized the potential of technology and began investing heavily in R&D. In 2016, the Chinese Communist Party set a goal to become a global AI leader by 2030³.

Key milestones include the establishment of national AI teams, comprising major companies like Baidu, Tencent, and Alibaba³. Academic institutions like Tsinghua University also played a pivotal role in advancing AI research. By 2020, Shanghai’s Pudong District alone hosted 600 AI companies, with industries valued at 91 billion yuan³.

Present Market and Technology Trends

Today, China’s AI market is thriving, with significant advancements in sectors like healthcare, autonomous vehicles, and big-data analysis. The State Council aims to solidify China’s position as a global leader in AI research by 2025³. By 2030, the goal is to develop a mature AI theory and technology system³.

Current trends include the integration of AI in medical imaging and the rise of autonomous technology. Companies like Baidu AI Cloud and SenseTime are leading the charge, with Baidu holding a 19.9% market share in China’s LLM market³. The government’s focus on AI safety and regulation is also shaping the industry’s future⁴.

“Ensuring AI safety is not just a technical challenge but a societal imperative.”

For more insights on China’s AI advancements, explore our detailed artificial intelligence news.

The Impact of AI in China: A Comprehensive Overview

From healthcare to energy, artificial intelligence is revolutionizing China’s industrial landscape. The nation’s rapid adoption of advanced technology is reshaping sectors, driving innovation, and improving efficiency. With over 4,500 AI companies, China is a global leader in research and development⁵.

In healthcare, AI-powered models are transforming diagnostics and treatment plans. For instance, medical imaging systems now use artificial intelligence to detect diseases with greater accuracy. Autonomous vehicles are another area where China is making strides. Companies like Baidu are leading the charge, with significant advancements in self-driving technology⁶.

Energy management is also benefiting from AI applications. Smart grids and predictive analysis are optimizing power distribution, reducing costs, and improving sustainability. The government’s focus on AI is evident in its policies and investments. In March 2024, Beijing announced a 10% increase in national research and development spending⁶.

China’s AI market is projected to grow significantly, with the industry expected to reach RMB 1.73 trillion by 2035⁵. This growth is fueled by a vibrant ecosystem of companies and start-ups. Industry leaders like Alibaba and Tencent are driving innovation, while smaller firms are contributing to niche applications.

“China’s AI advancements are not just transforming industries but also setting new global benchmarks.”

As we delve deeper into specific sectors in the following sections, it’s clear that artificial intelligence is a cornerstone of China’s future development. The opportunities and challenges ahead will shape the nation’s trajectory in the global market.

AI Innovations Transforming Industries

Innovations in artificial intelligence are reshaping key sectors across China. From healthcare to transportation, advanced technology is driving efficiency and creating new opportunities. These breakthroughs are not only improving services but also setting global benchmarks for innovation.

Healthcare and Pharmaceutical Advancements

In healthcare, artificial intelligence is revolutionizing diagnostics and treatment. Tools like MedGPT are enhancing accuracy in medical imaging and drug discovery. The autoimmune drug market is projected to reach $20 billion by 2030, driven by AI-powered research and development⁷.

Pharmaceutical companies are leveraging AI to streamline processes and reduce costs. Start-ups are also playing a crucial role, introducing innovative applications that improve patient outcomes. This focus on technology is transforming the healthcare industry, making it more efficient and accessible.

Autonomous Vehicles and Smart Mobility

Autonomous vehicles are another area where artificial intelligence is making a significant impact. Level 3 and higher autonomous driving is expected to reach a 56% penetration rate by 2030⁷. Companies like Xiaomi are leading the charge, with plans to ship 100,000 electric vehicles in 2024⁷.

Smart mobility solutions are enhancing urban transportation networks. Innovations showcased at events like the Beijing Autoshow highlight the integration of AI in vehicle technology. These advancements are not only improving safety but also reducing environmental costs.

As artificial intelligence continues to evolve, its role in transforming industries will only grow. From healthcare to transportation, the opportunities are vast, and the impact is undeniable.

Government Support and Policies in AI

Government initiatives are playing a pivotal role in advancing artificial intelligence across various sectors. Through strategic funding and policies, the government is fostering innovation and ensuring sustainable growth in the industry. These efforts are critical for maintaining China’s position as a global leader in technology.

Financial Subsidies and Guidance Funds

Financial incentives are a cornerstone of China’s strategy to boost artificial intelligence. Subsidies for domestically produced AI chips in Beijing are a prime example. These measures reduce costs for companies, encouraging them to invest in research and development⁸.

Guidance funds are another key tool. They bridge investment gaps in less-developed regions, ensuring balanced growth across the sector. For instance, Shanghai’s guidance funds have supported numerous start-ups, driving innovation in niche areas⁹.

“State-directed capital is not just funding projects; it’s shaping the future of technology.”

These policies also send a positive signal to private investors. By de-risking investments, the government encourages more participation in the market. This collaborative approach accelerates development and ensures efficient resource deployment⁸.

However, challenges remain. Overlapping priorities and inefficiencies in funding distribution can hinder progress. Addressing these issues is crucial for maximizing the impact of these initiatives¹⁰.

• Subsidies for AI chips reduce production costs.
• Guidance funds support start-ups in underdeveloped regions.
• State-backed investments attract private capital.
• Efficient resource deployment accelerates innovation.

In summary, government support is essential for nurturing artificial intelligence. Through financial subsidies and guidance funds, China is building a robust ecosystem that drives development and sets global benchmarks.

China’s AI Research and Development Landscape

China’s commitment to advancing artificial intelligence research is reshaping global innovation landscapes. With a focus on patents, publications, and academic collaborations, the nation is rapidly closing the gap with global leaders like the U.S¹¹..

Breakthroughs in AI Patents and Publications

China has emerged as a leader in patent filings and publications. In 2023, the country produced more AI research than the United States, showcasing its growing influence in the sector¹¹. Key areas of focus include generative AI and large language models, with companies like Baichuan and Alibaba leading the charge.

Significant advancements in technology are evident in the development of models like Baichuan3, which ranks highly for reasoning and coding abilities¹¹. These breakthroughs are supported by robust government policies and funding, ensuring sustained growth in the industry.

Collaborations with Leading Academic Institutions

Academic partnerships are driving innovation in China’s AI landscape. Institutions like Tsinghua University are at the forefront, collaborating with companies to develop cutting-edge models and platforms¹². These collaborations are fostering a vibrant ecosystem of research and development.

Government-supported initiatives are also playing a crucial role. For example, subsidies for domestically produced AI chips are encouraging collaboration between academia and industry¹¹. This synergy is accelerating the pace of innovation and ensuring China’s competitive edge.

“Academic-industry partnerships are not just driving research; they are shaping the future of technology.”

In summary, China’s focus on research and collaboration is setting new benchmarks in the global AI market. By leveraging academic expertise and strategic funding, the nation is positioning itself as a leader in artificial intelligence.

Building a Robust AI Ecosystem: Companies and Start-ups

China’s AI ecosystem thrives on a mix of established giants and emerging start-ups, driving innovation across industries. This dynamic environment is fueled by strategic government support, academic collaborations, and a competitive market that encourages rapid development.

Influential AI Start-ups and Tech Giants

Established companies like Baidu and Alibaba dominate the industry, but emerging start-ups are making significant strides. For example, Zhipu AI has gained attention for its advanced generative AI models, while Baichuan AI focuses on large language models¹³. These firms are supported by academic roots, ensuring cutting-edge research and technology.

Government funding and academic incubators play a crucial role in nurturing these start-ups. Subsidies for AI chips and guidance funds help reduce costs, enabling smaller firms to compete with established players¹³. This support structure fosters a vibrant ecosystem where innovation thrives.

“The collaboration between academia and industry is shaping the future of artificial intelligence in China.”

Despite their success, new entrants face challenges such as high competition and limited resources. However, strategic partnerships and a focus on niche applications help ensure their survival and growth¹⁴. For instance, Moonshot AI leverages its expertise in autonomous systems to carve out a unique position in the market.

Investor confidence is also bolstered by early-stage achievements. Baidu’s Ernie Bot, for example, gained over one million users on its first day of public use, showcasing the potential of homegrown technology¹³. Such milestones attract both domestic and global funding, further accelerating development.

In summary, China’s AI ecosystem is a blend of established companies and innovative start-ups, supported by strategic government policies and academic collaborations. This synergy not only drives innovation but also enhances China’s competitiveness in the global market. For more insights on AI advancements, explore our detailed AI in finance report.

Advancements in AI Technology and Models

The rapid evolution of artificial intelligence technology is reshaping industries globally, with China at the forefront of innovation. From large language models to cutting-edge applications, the nation is setting new benchmarks in research and development.

Large Language Models and Benchmark Achievements

China’s models, such as Baichuan3 and GLM-4, are competing with global leaders like OpenAI’s GPT-4 Turbo. Recent data from the SuperCLUE benchmark shows these models are narrowing the performance gap, particularly in reasoning and coding capabilities¹⁵.

Open-source contributions and academic collaborations are driving these advancements. For instance, Baichuan3 ranks highly in assessments of reasoning and coding, showcasing China’s growing expertise in artificial intelligence¹⁵.

Cutting-edge Applications and Solution Development

These models are not just theoretical; they are transforming real-world applications. From customer service platforms to coding solutions, artificial intelligence is enhancing efficiency across industries¹⁶.

Continuous research and development are fostering innovation in sectors like healthcare and finance. For example, AI-powered platforms are improving diagnostic accuracy and streamlining financial services¹⁵.

“The integration of AI in everyday solutions is not just a trend; it’s a necessity for future growth.”

For more insights on how AI is transforming industries, explore our detailed artificial intelligence news.

Infrastructure and Power Demands for AI Expansion

Rising energy demands driven by artificial intelligence are reshaping China’s infrastructure landscape. As AI systems expand, the need for power is growing exponentially, creating both opportunities and challenges for the nation’s energy grid⁷.

AI-powered data centers and GPU-intensive applications are consuming vast amounts of electricity. For instance, Nvidia’s next-generation chips can train large AI models using 4 MW of power, a significant reduction compared to older models¹⁷. This surge in energy use is straining existing infrastructure, necessitating upgrades to transformers and switchgear⁷.

China’s government is responding with strategic investments in grid development. Global grid capital expenditure is expected to rise by 5% annually over the next decade, with China leading the way⁷. These upgrades are critical to ensuring uninterrupted operational capacity for AI systems.

“Meeting the power demands of AI is not just a technical challenge; it’s a strategic imperative for sustainable growth.”

Statistical forecasts predict a 10x increase in AI power demand by 2026⁷. This growth has long-term implications for the energy market and technological development. For example, data centers are projected to consume 463 TWh of electricity in 2024, up from 200 TWh in 2019¹⁸.

Investment opportunities are emerging in infrastructure and energy efficiency initiatives. Companies and government agencies are collaborating to develop innovative solutions that balance growth with sustainability¹⁷. For instance, newer data centers are achieving Power Usage Effectiveness (PUE) ratios of 1.3 or better, reducing energy costs¹⁸.

As China continues to lead in AI innovation, addressing power and infrastructure needs will be crucial. These efforts not only support technological development but also set a global benchmark for sustainable energy use.

Trends in AI Investment and Funding

Investment trends in artificial intelligence are reshaping global markets, with China leading in both domestic and international funding. The nation’s rapid growth in this sector is fueled by a mix of private capital and state-backed initiatives, creating a dynamic ecosystem for innovation.

Domestic Capital and Global Venture Support

China’s domestic investment in artificial intelligence has surged, with significant deals like the $400 million funding for Zhipu AI highlighting investor confidence¹⁹. This contrasts with U.S. venture capital trends, where private funding dominates. State-backed funding in China is bridging gaps, ensuring sustained development in the industry.

Recent data shows that over 50 Chinese companies are developing large language models, with Baidu’s generative AI contributing significantly to its revenue¹⁹. This reflects the growing market for advanced technology solutions. Government support plays a crucial role, with subsidies and guidance funds fostering innovation in less-developed regions²⁰.

“State-directed capital is not just funding projects; it’s shaping the future of technology.”

Comparative analysis reveals that while U.S. venture capital investments are substantial, China’s state-backed funding provides a unique advantage. This strategy ensures that even smaller companies can compete, driving rapid technological progress²⁰.

Looking ahead, the industry is expected to see continued growth, with investment trends redefining competitive dynamics. For those interested in leveraging these opportunities, exploring AI investment strategies can provide valuable insights.

How AI Is Shaping the Chinese Economy

Artificial intelligence is driving significant economic transformation across China’s industrial landscape. From manufacturing to healthcare, technology is reshaping traditional sectors and creating new opportunities for growth. This shift is not only boosting productivity but also redefining market dynamics on a national scale²¹.

Growth in Industrial Sectors and Market Dynamics

Adoption of artificial intelligence is accelerating productivity across industries. In manufacturing, AI-powered systems are optimizing production lines, reducing costs, and improving efficiency. This has led to a 24% reduction in energy consumption and a 50% decrease in waste in Lighthouse Factories²².

Market dynamics are also shifting as traditional industries integrate technology. For example, healthcare is leveraging AI for diagnostics and personalized treatment plans. This integration is enhancing service delivery and creating new revenue streams²¹.

China’s government and private sector are working together to support this transformation. Strategic investments in research and development are fostering innovation, ensuring sustained economic expansion²².

The economic ripple effects of widespread AI adoption are profound. Local businesses are benefiting from increased efficiency, while national growth is driven by innovation in key sectors²¹. This positions China as a global leader in technology and market competitiveness.

“AI-driven market dynamics are not just reshaping industries; they are setting the stage for future economic leadership.”

For more insights on how AI is transforming industries, explore our detailed AI tools report.

Transformational Impact on Society and Security

Artificial intelligence is reshaping societal norms and security frameworks across China. From public services to law enforcement, technology is driving significant changes, offering both opportunities and challenges²³.

In public services, AI-powered platforms are enhancing efficiency. For example, smart city initiatives are optimizing resource management, reducing energy consumption by 30%²³. These advancements are improving quality of life while addressing environmental concerns.

Security enforcement is also benefiting from AI applications. Advanced surveillance systems are helping authorities respond faster to threats. Autonomous systems are reducing traffic accidents by up to 90%, showcasing the potential of AI in public safety²³.

However, increased surveillance raises privacy concerns. Robust cybersecurity measures are essential to protect sensitive data. Regulatory frameworks are evolving to address these challenges, ensuring technology is used responsibly²⁴.

“Balancing innovation with privacy is crucial for sustainable development.”

Government initiatives are playing a key role in safeguarding AI use. Policies are being implemented to ensure transparency and accountability. These efforts are critical for maintaining public trust in technology²³.

Case studies highlight AI’s role in enhancing security infrastructure. For instance, real-time climate monitoring systems are improving response times to extreme weather events by 40%²³. These applications demonstrate the transformative potential of AI.

Societal shifts are evident as digital transformation accelerates. AI-driven platforms are increasing public engagement in governance by up to 50%, fostering active participation in policy discussions²³. This democratization of information is reshaping civic involvement.

While the benefits are significant, challenges remain. Job displacement is a concern, with 50% of workplace tasks projected to be automated by 2050²³. Addressing these risks requires strategic planning and inclusive policies.

In summary, AI is transforming society and security in profound ways. By addressing privacy concerns and fostering innovation, China is setting a global benchmark for responsible technology use²⁴.

Key AI Use Cases and Applications in Various Sectors

Artificial intelligence is revolutionizing industries across China, offering innovative solutions to complex challenges. From healthcare to transportation, technology is driving efficiency and creating new opportunities. These breakthroughs are not only improving services but also setting global benchmarks for innovation.

Real-world Implementations and Success Stories

In healthcare, tools like MedGPT are transforming diagnostics and treatment plans. This AI-powered platform enhances accuracy in medical imaging, leading to better patient outcomes. The autoimmune drug market is projected to reach $20 billion by 2030, driven by AI-powered research and development⁷.

Autonomous vehicles are another area where artificial intelligence is making a significant impact. Level 3 and higher autonomous driving is expected to achieve a 56% penetration rate by 2030⁷. Companies like Xiaomi are leading the charge, with plans to ship 100,000 electric vehicles in 2024⁷.

Energy management is also benefiting from AI applications. Smart grids and predictive analysis are optimizing power distribution, reducing costs, and improving sustainability. Global grid capital expenditure is expected to rise by around 5% annually over the next decade, with China leading the way¹¹.

“AI-driven solutions are not just transforming industries; they are setting new global benchmarks for efficiency and innovation.”

Despite these success stories, challenges remain. High competition and limited resources can hinder smaller companies. However, strategic partnerships and a focus on niche applications help ensure their survival and growth¹¹.

For more insights on how AI is transforming industries, explore our detailed AI tools report.

Emerging Global Opportunities in Chinese AI

China’s advancements in artificial intelligence are creating new global opportunities. The nation’s rapid progress in technology is attracting attention from countries worldwide, offering potential for collaboration and innovation.

Foreign investments are playing a key role in this expansion. For instance, Saudi Arabia’s Aramco recently backed Zhipu AI in a $400 million deal, highlighting growing interest in China’s AI sector¹¹. This influx of capital is fueling development and opening doors for international partnerships.

China’s AI market is projected to grow from RMB 213.7 billion (US$30 billion) in 2023 to RMB 811 billion (US$113.89 billion) by 2028²⁵. This growth presents significant opportunities for companies looking to expand their network and services.

“The collaboration between academia and industry is shaping the future of artificial intelligence in China.”

However, challenges remain. Regulatory hurdles and diplomatic tensions can complicate cross-border investments. Despite these obstacles, China’s competitive advantages, such as its robust research ecosystem and government support, continue to attract global attention.

Future trends suggest that China’s AI strategy will influence global markets. Areas like generative AI and autonomous systems are expected to see significant growth, offering new opportunities for innovation and application.

For more insights on China’s AI advancements, explore our detailed report.

Challenges and Strategic Approaches in AI Development

Navigating the complexities of AI development, China faces both regulatory and technological hurdles. While the nation has made significant strides, artificial intelligence growth is not without its obstacles. These challenges range from export controls to access to advanced chips, requiring strategic responses to maintain momentum²⁶.

Regulatory Constraints and Export Controls

Export controls imposed by the U.S. have created significant barriers for Chinese AI firms. Restrictions on advanced compute and semiconductor manufacturing equipment aim to slow China’s progress in technology⁶. These measures have forced companies to innovate without access to the latest chips, impacting their ability to compete globally²⁶.

In response, the Chinese government has increased national research and development spending by 10% in March 2024⁶. This investment aims to reduce reliance on foreign technology and foster domestic innovation. However, regulatory hurdles remain a persistent challenge.

Technological Gaps and Resource Limitations

Technological gaps are another major hurdle. Estimates suggest China’s AI model development is six to twenty-four months behind the U.S⁶.. Access to advanced training resources and high-performance chips is limited, slowing progress in key areas like large language models²⁶.

To address this, companies are focusing on industrial applications of AI, which offer more immediate economic benefits. This strategic shift reflects a pragmatic approach to overcoming technological challenges⁶.

“Overcoming these hurdles requires not just innovation but also strategic collaboration between industry and government.”

Strategic Responses and Government Support

Chinese firms are adopting creative strategies to circumvent restrictions. For example, some are developing domestic chip technologies, such as the RISC-V AI platform released by Pingtou Semiconductor²⁶. These efforts are supported by government subsidies and guidance funds, which reduce costs and encourage investment in research⁶.

The government is also playing a crucial role in balancing security concerns with the need for innovation. Policies aim to ensure transparency and accountability while fostering a competitive industry²⁷.

Despite these efforts, the road ahead is not without risks. High competition and limited resources continue to pose challenges for smaller firms. However, strategic partnerships and niche applications offer pathways to success²⁷.

For more insights on China’s AI strategy, explore our detailed report.

Future Outlook and Global Competition in AI

China’s AI landscape is poised for significant growth, with global competition intensifying. The nation’s advancements in artificial intelligence are setting new benchmarks, narrowing the gap with leading global players. This section explores future projections, market trends, and the competitive dynamics shaping the industry.

Market Projections and International Benchmarking

China’s AI market is projected to grow exponentially, driven by robust research and development. By 2035, the industry is expected to reach RMB 1.73 trillion, solidifying its position as a global leader⁶. This growth is fueled by strategic investment and government support, ensuring sustained innovation.

Performance benchmarks highlight China’s progress. In the SuperCLUE assessment, Chinese models like Baichuan3 are closing the gap with U.S. leaders like GPT-4 Turbo¹¹. This narrowing performance difference underscores China’s commitment to advancing technology and innovation.

• Projected market growth to RMB 1.73 trillion by 2035⁶.
• Chinese models narrowing the gap with U.S. benchmarks¹¹.
• Strategic investment driving innovation and development.

Emerging technologies are set to disrupt global market dynamics. Areas like generative AI and autonomous systems are expected to see significant growth, offering new opportunities for businesses and institutions worldwide²⁸.

“The future of AI lies in collaboration and competition, driving innovation across borders.”

China’s strategy focuses on reducing reliance on foreign technology. Subsidies for domestically produced AI chips and increased research spending are key initiatives⁶. These efforts aim to enhance competition and ensure long-term development.

In summary, China’s AI future is bright, with global competition driving rapid advancements. By leveraging market projections and performance benchmarks, the nation is setting new standards in technology and innovation.

Conclusion

China’s strides in artificial intelligence are reshaping industries and setting global benchmarks. From healthcare to manufacturing, technology is driving efficiency and innovation. Government support and strategic investments are fueling this rapid development, ensuring sustained growth⁶.

Key milestones highlight China’s progress. With over 180 large language models approved for use, the nation is narrowing the gap with global leaders⁶. Despite challenges like export controls, domestic research and innovation are thriving. Increased R&D spending reflects a commitment to becoming a technology powerhouse by 2035⁶.

For U.S. policymakers and investors, China’s AI journey offers valuable insights. Its market growth and strategic approaches provide a roadmap for global competition. As the industry evolves, collaboration and innovation will shape the future of technology worldwide.

Source Links

1. Exploring China’s Leading AI Hubs: A Regional Analysis
2. China’s advances could boost AI’s impact on global GDP
3. Artificial intelligence industry in China
4. China’s Views on AI Safety Are Changing—Quickly
5. The influence of AI on the economic growth of different regions in China – Scientific Reports
6. Assessing China’s AI development and forecasting its future tech priorities
7. How AI is shaping industries in China | J.P. Morgan Research
8. AI Watch: Global regulatory tracker – China | White & Case LLP
9. China-releases-AI-safety-governance-framework | DLA Piper
10. PDF
11. How Innovative Is China in AI?
12. China’s AI Policy & Development: What You Need to Know
13. Greater China Insights—China’s AI Growth Multiplier
14. The Rising AI Stars from China
15. China and the U.S. produce more impactful AI research when collaborating together – Scientific Reports
16. China Is Rapidly Becoming a Leading Innovator in Advanced Industries
17. As generative AI asks for more power, data centers seek more reliable, cleaner energy solutions
18. The Energy Demand of AI and Server Hubs
19. China’s Generative AI Ecosystem in 2024: Rising Investment and Expectations
20. Market Size
21. America’s AI Strategy: Playing Defense While China Plays to Win
22. China Closing AI-Innovation Gap with the US
23. Transformative Impact of Artificial Intelligence on Society and Business – Part 2
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25. China’s Emerging Industries – Opportunities for Foreign Investors
26. China’s AI development model in an era of technological deglobalization
27. PDF
28. China’s AI Breakthrough Sends NVIDIA Reeling and Sparks National Security Fears