U.S. to ban some U.S. investments in China tech sector

U.S. AI tech restrictions plan proposed

The U.S. will ban American investment in some areas of China’s high-tech sector, including artificial intelligence, adding to strained relations between the two superpowers.

U.S. firms will also be invited to disclose what investments they make in China in high-tech sectors.The much-anticipated move gives the U.S. government new power to screen foreign dealings by private companies. The U.S. said the measure would be narrowly targeted. However, it is poised to further chill economic relations between the world’s two largest economies. China has reportedly said it was ‘very disappointed‘. The U.S. ‘has continuously escalated suppression and restrictions on China‘. He added that White House claims that the US was not seeking to hurt China’s economy or separate the two countries did not match its actions. ‘We urge the US side to honour its words‘.

Biden order

The order by U.S. President Biden formally kicks off the push to introduce rules to restrict, even prevent American businesses from investing in firms from ‘countries of concern‘ that are active in advanced semiconductors, quantum computing and certain areas of artificial intelligence.

The government will also require U.S. firms to notify the Treasury Department of investments in firms working on a wider range of artificial intelligence and semiconductor technology.

AI tech
U.S. restriction on AI related tech knowledge to China

The rules are not expected to apply to ‘portfolio’ investments, in which firms invest passively in companies via the stock market, but are focused on active investments made by private equity and venture capital businesses. They will now enter a public ‘reflection’ period, which is expected to further clarify what kinds of investments are off-limits. The rules are not expected to go into effect for sometime yet. This new ‘order’ is quite a big deal.

In a briefing with reporters, senior administration officials said the measure was a ‘national security action, not an economic one‘. They said the U.S. remained committed to open investment.

Investment control

Controls on outbound investment are rare among advanced economies, currently present only in Japan and Korea, according to a 2022 report.

In the U.S., prior restrictions on China trade have relied on limiting sales of sensitive technology by U.S. firms and screening Chinese investments in American companies. The Trump administration had also barred investments in firms tied to China’s military.

The latest measure has widespread support in Washington, where it is seen as fixing a regulatory gap concerning financial flows that risks allowing American money and know-how to to flow into China.

International support

The U.S. has been trying to build international support for the investment curbs with some signs of success.

Prime Minister Rishi Sunak in May 2023 said the UK government would consider curbs on outbound investment; the European Commission put forward a proposal focused on investments in sensitive technologies earlier this summer. It is not clear how significantly the order would affect flows of investment.

China was the number two destination for foreign investment in 2022, behind the U.S., but many reports suggest money flowing into the country from the U.S. and elsewhere has dropped sharply as geopolitical relations sour. In the UK, a recent survey by the Institute of Directors found that one in five UK importers had already switched investments away from the country due to geopolitical tensions.

China has responded to the curbs with its own rules, including limits on exports of some critical minerals used to make computer chips.

Gallium and Germanium
Gallium and Germanium considered critical elements required in the production of microchips

Treasury Secretary Janet Yellen, who visited China in July 2023 in an attempt to ease tensions, said last month she did not think the coming curbs would have a fundamental impact on the investment climate in the country.

Will these measures likely damage the U.S. in the future by escalating issues and restricting the U.S. from other shared advancements in technology – only time will tell.

Tech’ rivalry

U.S. and China are two of the world’s leading powers in artificial intelligence (AI) and semiconductors, which are essential components for many AI applications such as self-driving cars, smart phones, and cloud computing. However, the two countries have also been engaged in a fierce competition and rivalry over these technologies, as they seek to gain an edge in innovation, security, and economic growth. Some of the issues that have caused tensions between U.S. and China include trade disputes, intellectual property theft, cyberattacks, human rights violations, and military expansion.

AI chips

AI semiconductors are designed to perform complex calculations and tasks that require high levels of intelligence, such as natural language processing, computer vision, and machine learning.

These chips can be classified into two types: general-purpose chips that can run various AI algorithms, and specialized chips that are optimized for specific AI functions or domains.

The race is on…

What is AI?

AI stands for Artificial Intelligence, which is the ability of machines to perform tasks that normally require human intelligence. AI can involve various aspects of cognition, such as perceiving, reasoning, learning, problem-solving, and even creativity.

Types of AI

AI can be classified into different types based on the level of intelligence and the scope of tasks that machines can perform. One common way to categorise AI is by using the following four types:

  • Narrow AI: This is the most common and basic type of AI, which refers to machines that can perform specific tasks very well, but cannot generalize to other domains or situations. Examples of narrow AI include speech recognition, face recognition, web search engines, recommendation systems, self-driving cars, and chess-playing programs.
  • General AI: This is the type of AI that aims to achieve human-like intelligence across a wide range of domains and tasks. General AI would be able to understand and learn from any kind of data, reason and solve problems, communicate and interact with humans, and exhibit common sense and creativity. However, general AI does not exist yet, and it is considered a long-term goal of AI research.
  • Super AI: This is the type of AI that would surpass human intelligence in all aspects, including speed, memory, knowledge, creativity, and wisdom. Super AI would be able to outperform humans in any task and domain, and potentially pose existential risks to humanity. Super AI is also a hypothetical concept that has not been achieved or proven yet.
  • Artificial neural networks: This is a type of AI that mimics the structure and function of biological neural networks, which are the basis of human brain activity. Artificial neural networks consist of layers of interconnected nodes that process information and learn from data. Artificial neural networks are widely used for various applications of AI, such as computer vision, natural language processing, machine learning, and deep learning.

Applications of AI

AI has many applications in various fields and industries, such as:

  • Healthcare: AI can help diagnose diseases, analyze medical images, design drugs, assist surgeries, monitor patients, and provide personalized care.
  • Education: AI can help personalize learning, assess students’ progress, provide feedback, tutor students, grade assignments, and create educational content.
  • Business: AI can help optimize operations, enhance customer service, automate tasks, analyze data, generate insights, improve decision making, and increase productivity.
  • Entertainment: AI can help create music, art, games, movies, and other forms of entertainment.
  • AI can also help recommend content to users based on their preferences and behaviour.
  • Security: AI can help detect threats, prevent cyberattacks, enhance surveillance, identify frauds, enforce laws, and protect privacy.
  • Social: AI can help communicate with humans through natural language processing and speech synthesis. AI can also help understand human emotions and behavior through sentiment analysis and facial expression recognition.

Challenges and limitations of AI

AI also faces many challenges and limitations that need to be addressed by researchers and users. Some of these include:

  • Ethical: AI raises many ethical issues such as bias, fairness, accountability, transparency, privacy, human dignity, and social impact. How can we ensure that AI is aligned with human values and does not harm humans or society?
  • Technical: AI still faces many technical challenges such as scalability, robustness, explainability, interpretability, generalization, and adversarial attacks. How can we improve the performance, reliability, and security of AI systems?
  • Societal: AI also has many societal implications such as employment, education, regulation, governance, and collaboration. How can we adapt to the changes and opportunities that AI brings to our lives, work, and society?

AI is here to stay – it’s all about how we use it for the betterment of ‘humankind’. Please, let’s use it safely, responsibly and for the good!

Big tech companies heavily involved in the development of AI products

OpenAI

Microsoft

Alphabet/Google

Amazon

Nvidia

AMD

Arm

Meta