By Eric Vandenbroeck and co-workers
Chinese Global Ambitions Are a Struggle
to Assert Competing Values
The competition between
the US and China for global power has become one of the defining features of
the world’s geopolitical landscape in the 21st century. While the power
struggle is unfolding on multiple fronts, including defense, economy, and
geopolitics, technology has become a prominent frontier. From the announcement
of the USD 500 billion AI infrastructure project Stargate by US President Trump
to the deep tech market upsets caused by the launch of China’s AI Chatbot, Deepseek, the tech race between the US and China is in full
swing. Technology is an integral part of almost every aspect of modern life –
from communication, navigation, healthcare, defense, and transportation to
finance and entertainment. Achieving hegemony in the technological arena would
not only translate into economic and military advantages but also yield an
ideological dominance in the global governance models and structural norms of
the international system.
The existing global
order is largely perceived to be based on neo-liberal
values of the free market, international cooperation, and multilateralism.
However, as the tech contest between the two nations intensifies, challenges to
the principles of the neoliberal world order become greater. To understand
these challenges, an understanding of the key sectors and the competing models
adopted by the US and China for tech development is crucial. It is also
important to assess the rise of exclusionist tech alliances and how they are
not only leading to market fragmentation but also deepening the global tech
divide.
One of the key fronts
of this competition is Artificial Intelligence (AI). Over the past decade,
global AI markets have undergone rapid growth, with the latest estimates
reflecting a market size of a whopping USD 454.12 billion in 2023. The AI
market is currently being led by the US, with a spending of USD 328 billion in
the five years, 2019-2023. China follows with an investment of USD 132 billion
in the same period. Moreover, to gain AI hegemony, both China and the US have
also integrated AI-based state policies and initiatives, including the US
National AI Initiative Act (2021) and China’s New Generation Artificial
Intelligence Development Plan. Multiple other sectors are also interrelated
with this broad competition for AI superiority between the US and China. These
sectors include semiconductors, AI algorithms, quantum computing, 5G
technologies, Big Data, and autonomous systems. Both sides have their own
unique strengths and weaknesses. However, to gauge the impact of US-China tech
contestation on the neo-liberal world order, an examination of the respective
and often contrasting tech development strategies of both sides would be
prudent.

The approaches of the
US and China towards tech development are rooted in their divergent political
and economic ideologies. The US’s approach is based on a market-oriented
economy in which the private sector leads technological development and
innovation. Several US-based companies, including Microsoft, Apple, Google,
OpenAI, Intel, AMD, and Qualcomm, are currently leading the way in tech
innovation in their respective domains. However, this approach has become
increasingly protectionist and interventionist over the past few years, going
against the neo-liberal principles of globalization and free markets. The CHIPS and Science Act of 2022 is a key
example, where the US government allocated over USD 52 billion in subsidies to
its local semiconductor manufacturing and placed restrictions on the global
semiconductor supply chain tied to China.
Similarly,
competition in the domestic telecommunication sectors of the US has also been
limited, as evident by the stringent regulations placed by the US on foreign
companies, including China’s Huawei and ZTE. It is also important to note that
big data plays an important role in the competition. Data is the fuel of the AI
and Machine Learning (ML) industry, as these systems are trained on big
data. Both the US and China are increasingly restricting the flow of
their data, as marked by China’s Data Security Laws and Trump’s bid to ban
TikTok. Therefore, despite the US claims of leading tech development through
market competition, innovation, and global integration, increasing state
regulations and interventions in domestic and global markets would result in
growth disparities among industries and market fragmentation. This stands in
stark contrast to the neo-liberal ideals of globalization and multilateral
cooperation. The US protectionism trend, especially in the tech sector, is only
expected to become more pronounced under the second presidency of Donald Trump.
With
an emphasis on strict
export controls, investment restrictions, and tightening of visa regulations,
Trump’s second term is set to accelerate the trend of protectionism in the US
tech sector. For example, in January 2025, the U.S. Department of Commerce
Bureau of Industry and Security (BIS) expanded export controls on advanced
integrated circuits (ICs), software, and AI model weights. Then, in September
2025, the export control list was further expanded by the US, primarily
affecting Chinese companies. Similarly, in February 2025, President Trump
directed the Committee on Foreign Investment in the United States (CFIUS) to
restrict Chinese investment in strategic areas with a stated aim to ‘protect’
US national security interests. Strict H-1B visa rules have also been proposed,
which could adversely affect the US tech sector, as around 19% of all STEM
workers in the US are foreign-born, according to the National Science
Foundation.

On the other hand,
China follows a state-centric and capitalist model of tech development. The
government plays a central role, as it not only sets up strategic
objectives for tech development but also directs resources to national
companies such as Tencent, Huawei, and SenseTime.
This model is rooted in China’s long-term objective of achieving tech hegemony
and self-reliance, as envisioned in the Made in China
initiative. While this model offers the advantage of achieving rapid, focused,
and result-oriented tech growth, there are some associated challenges as well.
For example, there remains a risk of lacking interoperability with global
market standards due to the development of isolated technological frameworks.
Moreover, private innovation becomes limited due to over-reliance on state
subsidies, and access to global supply chains also becomes restricted due to
geopolitical pushbacks. China’s emphasis on self-sufficiency in the tech domain
has also given rise to a parallel digital ecosystem, which further adds to the
global market fragmentation of the tech sector.
China has been
developing its own independent tech platforms, such as the navigation system of
BeiDou, and the AI chatbot Deepseek. China is also
exporting its technologies to a plethora of countries in the immediate region
and beyond such as Angola, Djibouti, Egypt, Ethiopia, Kenya, Nigeria, Zambia in
Africa, Cuba, Mexico, Peru in Latin America, Bangladesh, Laos, Myanmar,
Malaysia, Indonesia, Thailand, Pakistan, Singapore, South Korea, Türkiye in
Asia and Saudi Arabia, and the United Arab Emirates (UAE) in the Middle East
along with others. Developing countries lack indigenous tech infrastructure and
need to rely on affordable technological development offered by China; however,
Chinese systems do come with their unique standards and protocols that may not
always align with existing domestic systems. As a result, a parallel tech
ecosystem is now rising with alternative 5G,
navigation systems, AI, and semiconductor supply chains – further reducing the
prospect of multilateral cooperation and foreign investments. Market
fragmentation has become a common consequence of the contrasting tech
development models being pursued by both the US and China. The world is now
faced with a bifurcated technological market where choices in tech
infrastructure, governance, and cybersecurity are increasingly aligning with
geopolitical considerations rather than neoliberal
values of multilateral cooperation, free markets, and economic integration.

Developing nations
are caught between contrasting tech ecosystems of the West and China, neither
of which fully aligns with the neoliberal ideals of free-market competition,
global standardisation, and economic interdependence.
This is evident by the rise of competing tech alliances in the last few years,
including the West-led initiatives such as Chip 4 Alliance, Global Partnership
on AI (GPAI), The Clean Network Initiative, EU-U.S. Trade and Technology
Council (TTC), as well as China-led alliances such as Digital Silk Road (DSR),
China-CEEC digital cooperation, and BeiDou Satellite Navigation System, among
others. In stark contrast to the neo-liberal values of free market and
inclusivity, these exclusionist tech alliances pose the risk of giving rise to tech
monopolies and selective partnerships, which would further deepen the tech
divide for countries in the Global South. As the US and its allies claim to
promote open-market, innovation-driven tech, and China advances a state-backed,
infrastructure-heavy approach, many countries in the Global
South face challenges in getting free and equitable access to emerging
technologies, digital infrastructure, and AI development, reinforcing global
disparities in technological growth and digital
sovereignty.

For example, in 2025,
Malaysia announced its plans to deploy 3,000 Huawei “Ascend” AI chips as a part
of its national AI infrastructure project. However, Malaysia soon had to
backtrack on this plan following criticism and warnings from the US. Similarly,
in May 2025, the US categorically warned that the use of Huawei’s “Ascend” AI
chips anywhere in the world would be considered a violation of US export
controls. China responded by threatening legal actions against any individual
or organization that enforces or assists in these US measures. Therefore,
developing countries must deal with the complex task of navigating through US
export controls and the compelling technological
offerings of China.

Chinese
global ambitions are not merely about gaining technological
superiority in the fields of AI, Quantum computing, and semiconductors; rather,
it is a struggle for asserting competing values, rules, and institutions that
will govern the global technological landscape for decades to come. The
neo-liberal values of free market, inclusivity, economic interdependence, and
multilateralism are being affected by the rise of exclusionist tech alliances,
fragmentation, and the bifurcation of the tech market. As this competition
intensifies, the global tech divide will deepen further. Consequently, states
in the global South are bound to get caught in the middle with the complex task
of not only navigating this fragmented digital space but also ensuring their
own autonomy and development.
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