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Opinion | AI: The US and China must overcome zero-sum competition

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AI development is not a simple competition with clear winners and losers. This is a multifaceted ecosystem involving countless stakeholders from academia, industry, and government.From power grid optimization Early detection of disease medical image processing and poverty reductionAdvances in AI will be of global significance beyond national achievements and represent a collective technological leap forward.

These innovations not only solve critical problems, but also enrich societies by creating positive externalities, increasing efficiency, improving quality of life, and promoting sustainable development around the world. .

Currently, 64 percent of top AI research papers have co-authors from different countries. While the race analogy is persuasive, it does not fully capture the collaborative and interconnected nature of technological progress.

05:03

How will China’s AI stack up against ChatGPT?

How will China’s AI stack up against ChatGPT?

The Biden administration’s proposals to protect intellectual property and maintain competitive advantage inadvertently return the debate to a zero-sum scenario. This approach focuses on pursuing AI advantages to achieve substantial economic, military, and geopolitical benefits, especially in the context of geopolitical and military superiority.

Nevertheless, the United States already holds a commanding lead, with a market characterized by championing quality, diversity, and global infrastructure, and supported by a strong culture of innovation and collaboration. It’s home to OpenAI, the giant behind chatbots. Chat GPThave become. Fastest growing consumer applications Historically, it has surpassed 100 million monthly active users in just two months after launch. It also leads other countries by a wide margin in top-notch AI research, with nearly 60% of top-notch researchers working at U.S. universities and companies.

This advantage is due to institutional advantages such as favorable regulatory and tax environments and mature capital markets, as well as “network effects” due to the concentration of AI talent in hubs like Silicon Valley. This makes it difficult for any country to compete for that position.

talent is naturally attracted environment This trend is most pronounced in the United States, but less so in China, especially in the wake of the government’s crackdown on it. technology and gamebetween other fields.
The United States relentlessly pursues AI superiority; decoupling and embargoes not only represent a departure from the spirit of cooperation that has been the foundation of America’s innovation success, but also risk unintended and potentially harmful consequences.

31:05

Why Singapore could benefit from the US-China technology war

Why Singapore could benefit from the US-China technology war

Global AI cooperation could be hampered as companies act cautiously when it comes to sharing data and resources. The secondary effects could fragment the global technology landscape, creating siled AI sectors and cloud infrastructures around the world.

Furthermore, the diversity of AI regulations could lead to a “race to the bottom” scenario, with companies relocating to countries with the weakest laws and undermining global ethical standards.

Why the UK did the right thing by including China in its AI Safety Summit

The latest U.S. proposal is simple in theory but complex in execution, as collecting detailed customer data would be burdensome and costly and could create financial and legal hurdles for U.S. cloud providers. We are also facing challenges.

China’s response to this policy is critical to the future of AI. While a path to mutual escalation looms, the more likely outcome is for China to strengthen its domestic AI capabilities and forge new international alliances beyond the reach of U.S. influence. China is positioning itself as a healthy competitor with vast data collection capabilities and an integrated digital ecosystem supported by government policies.

On January 19, a drone carrying blood from the Shenzhen Blood Center in Shenzhen, Guangdong Province, China, took off toward Shenzhen Traditional Chinese Medicine Hospital.Photo: Xinhua News Agency
China has already surpassed other countries in several areas. approved Numerous AI models were published and witnessed Baidu’s Ernie becoming famous among over 100 million users. Abundant industrial application examples Further momentum is fueled by deep supply chains and rapid mobile-first consumer adoption.
As China faces economic and geopolitical challenges, China Become the world’s AI leader by 2030 Don’t be daunted.A track record of developing technology giants in fields such as EV to semiconductor It is likely to be a harbinger of the next chapter in AI.

How China is realizing its dreams of flying cars, drones and floating cities

Each country offers unique advantages and approaches, influenced by its specific regulatory situation, market dynamics, and technological infrastructure. While cooperative efforts can undoubtedly lead to shared benefits, the turbulent transition to a multipolar world makes conflicts inevitable.

Real progress in AI may therefore come not from simply avoiding conflict, but through transformative approaches that redefine competition itself. Of course, competition is welcomed because it brings about progress. However, fair competition functions effectively under standardized rules, and as the current leader, the United States appears to be setting these rules.

02:38

Apple supplier Foxconn builds ‘AI factory’ using chips and software from US hardware leader Nvidia

Apple supplier Foxconn builds ‘AI factory’ using chips and software from US hardware leader Nvidia

of Pursuit of cutting-edge technology Being a global power is not new. That’s why it’s important to adopt a framework similar to the Treaty on the Non-Proliferation of Nuclear Weapons, where countries agree on transparent AI development goals, share breakthroughs under a regulated framework, and establish an international AI oversight body. It could be a starting point.

However, implementing such a framework would be a daunting task. AI surpasses nuclear technology in its complexity, diverse applications, and societal impact. Unlike the specific risks of nuclear technology, the unique ethical and privacy challenges of AI, combined with its transnational scope, make regulation and governance particularly challenging.

Ultimately, the way forward will need to blend a competitive spirit with a commitment to a common goal, shaping a future where AI acts as a bridge between nations rather than a battlefield.

Jeffrey Wu is a director at MindWorks Capital, a leading venture capital firm headquartered in Hong Kong specializing in technology investments across Greater China and Southeast Asia.



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