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Will China lead the artificial intelligence game by 2030? — Part 2

I wrote an article titled “Will China lead the Artificial Intelligence game by 2030?” back in 2020.

Four years have passed, and now, it’s time to assess our current position in this discussion. As we stand on the cusp of 2024, artificial intelligence (AI) has solidified its status as one of the most important technological frontiers of the 21st century. With AI rapidly evolving, nations worldwide are vying for dominance in this critical domain.

Among the contenders, China has emerged as a significant player, raising a key question: Will China lead the global AI game by 2030?

China’s AI ambitions: A vision for 2030

China’s aspirations to become a global leader in AI are no secret. In 2017, the Chinese government unveiled its “New Generation Artificial Intelligence Development Plan”, outlining an ambitious roadmap to transform the nation into the world’s AI superpower by 2030.

The plan has three key milestones:

  • By 2020: Establish a strong foundation in AI research and development (R&D).
  • By 2025: Achieve significant breakthroughs in AI theory, creating world-leading AI technologies and industries.
  • By 2030: Lead the world in AI innovation, applications, and regulation, making AI the core driver of China’s industrial transformation.

This roadmap demonstrates China’s recognition of AI’s importance as a transformative technology that will shape economies, national security, and global influence.

Key factors driving China’s AI growth

Several factors suggest that China could emerge as a leader in AI by 2030, positioning itself ahead of other major players like the United States, Europe, and Japan.

Massive data availability

AI thrives on data, and China’s vast population of over 1.4 billion people generates immense amounts of data daily. Data is crucial for training AI algorithms, particularly in areas like machine learning and deep learning. Moreover, China has fewer privacy restrictions compared to many Western countries, enabling the collection and utilisation of data on a large scale. This data abundance gives Chinese AI firms a significant advantage in developing more sophisticated algorithms and refining AI systems at a faster pace.

Also Read: Challenges of AI development in Vietnam: Funding, talent and ethics

Government support and investment

The Chinese government has placed AI at the core of its national strategy, providing robust financial backing and policy support. According to reports, China’s AI investment exceeded US$17 billion in 2022, a figure expected to rise dramatically over the next few years. The government’s proactive stance, offering subsidies, tax incentives, and funding for AI startups, has fostered rapid growth in the AI ecosystem.

Additionally, China’s state-owned enterprises (SOEs) and tech giants like Baidu, Alibaba, Tencent, and Huawei—collectively known as the BAT companies—are heavily involved in AI R&D, contributing to the nation’s AI ambitions. The alignment of corporate and state objectives strengthens China’s position to scale AI advancements rapidly.

Talent pool and education

China has recognised the importance of cultivating a domestic AI talent pipeline to sustain its AI aspirations. The government has invested in AI education at all levels, from elementary schools to universities, establishing AI institutes and encouraging partnerships between academia and industry.

Moreover, China has succeeded in attracting top AI talent from around the world, with many Chinese scientists who have studied abroad returning to contribute to the nation’s AI goals. This influx of both local and international talent enhances China’s ability to innovate and stay competitive in AI research and applications.

Application and integration across industries

China’s AI focus is not limited to research but extends to real-world applications. The country is already applying AI across various sectors, from healthcare and autonomous driving to manufacturing and finance. For example, cities like Shenzhen and Shanghai are testing AI-driven smart city technologies, while Chinese companies are rapidly advancing in AI-enhanced robotics, facial recognition, and natural language processing (NLP).

Also, AI integration in China’s military and national security sectors is advancing at a rapid pace. AI-driven technologies like autonomous drones, cyber defense systems, and surveillance platforms are becoming integral to China’s defense strategy, which could give the country a strategic edge globally.

Challenges on the path to AI leadership

Despite its advantages, China faces several challenges in its quest to dominate AI by 2030.

Geopolitical competition and tech restrictions

The geopolitical landscape, particularly the escalating tech rivalry between China and the US, presents significant hurdles. US export controls and restrictions on key technologies, such as advanced semiconductors and AI hardware, could stifle China’s progress. The US has already limited access to high-end chips and AI-related software, which are crucial for building cutting-edge AI systems.

Also Read: Can AI truly connect? The emotional dilemma of virtual influencers for women

Innovation vs imitation

While China has made significant strides in AI development, critics argue that much of its progress has been built on existing technologies developed elsewhere. For China to lead in AI by 2030, it must shift from imitating global innovations to pioneering its breakthroughs in AI theory, hardware, and ethical frameworks.

AI ethics and regulation

China’s relatively lax data privacy standards may foster faster AI development, but ethical concerns loom large. The use of AI in surveillance and social control, such as the “Social Credit System”, has drawn international criticism. Balancing technological advancement with ethical AI use and robust regulation will be a critical challenge for China as it seeks global leadership.

So to the question: Will China lead by 2030?

China’s concerted efforts in AI, from government investment and corporate engagement to massive data reserves and talent cultivation, suggest it is well-positioned to be a major AI power by 2030. However, global competition, technological restrictions, and ethical concerns remain significant barriers to China’s leadership ambitions.

While it is difficult to predict with certainty, if China continues its current trajectory and overcomes the challenges ahead, it may not just be a contender but a global leader in AI by 2030, reshaping industries, economies, and the balance of global power in the process.

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