With the United States and China forming separate artificial intelligence blocs, other countries are actively maneuvering to harness the strengths of both groupings. As this global rivalry intensifies, experts indicate that the window for countries to choose freely between the two AI superpowers may be narrowing, potentially forcing them to select between the US-led Pax Silica and the China-inspired World AI Cooperation Organisation.
This dynamic presents a strategic dilemma for nations deciding between advanced US chips and technologies versus more affordable, open-source AI systems from China. Kazakhstan, a Central Asian nation of approximately 21 million people, has emerged as a prominent example of a country bridging this gap. In June, its AI minister Zhaslan Madiyev visited Washington to join a US group strengthening AI supply chains, and three weeks later attended a signing ceremony in Shanghai to make Kazakhstan a founding member of China's global AI initiative.
Being aligned with Pax Silica offers technological partnerships, high-tech manufacturing jobs, and a place in global AI supply chains. Concurrently, participation in China's World AI Cooperation Organisation alongside 28 other initial founding countries—including Pakistan and Russia—allows Kazakhstan to seek a voice in regional and global AI standards.
Dana Masalimova, a former Kazakhstan diplomat and independent scholar at Harvard University, noted that nations are hedging their bets to avoid binary choices, though positions remain precarious. Kazakhstan possesses rich critical mineral resources essential for AI development and cheap electricity to power data centers. Earlier this year, the government signed an investment deal worth up to USD 10 billion involving Nvidia to build a data center valley. Meanwhile, Chinese foreign direct investment reached a record USD 2.8 billion in 2025, supported by meetings between Chinese leader Xi Jinping and Kazakh President Kassym-Jomart Tokayev.
Both superpowers are leveraging AI access to expand global influence. President Donald Trump emphasized that whoever wins AI wins, while US officials have accused China of large-scale extraction of capabilities from frontier American models. Beijing has rejected these claims, stating that the US is pursuing a monopoly while restricting access to cutting-edge chips. The US State Department signaled that Pax Silica is reserved for trusted partners not engaging in competing superintelligence initiatives, whereas Beijing highlights the openness of its World AI Cooperation Organisation.
Kyle Chan, a fellow at The Brookings Institution, explained that Beijing needs to court third countries to build an alternative coalition, while Washington already maintains a powerful network of allies. This dynamic empowers swing countries. Indonesia, possessing vital resources like nickel and copper, has joined China's initiative while also seeking US investments. Similarly, Singapore hosts Anthropic's latest Asia office while considering China's AI organisation, and Saudi Arabia utilizes both an open model from a Chinese AI company and a deal with Nvidia.
European nations are adopting varied strategies. France relies on its domestic startup Mistral, whose new model outperforms some advanced Chinese alternatives. Japan aligns closely with the US on semiconductor security but utilizes affordable Chinese models for lower-risk applications. For the UK and Germany, aligning with the US is vital for access to data centers and chip deals, though their access ultimately depends on policymakers in Washington and Beijing.
China continues closing the technology gap in chipmaking and AI capabilities, utilizing an open-source approach to reduce reliance on the US. AidData research shows China has provided official sector grants and loans for AI-enabled activities in at least 77 low- and middle-income countries, including Nigeria, Zambia, Ghana, and Kenya, shifting public perceptions in those regions.
Aalok Mehta, director of the Wadhwani AI Centre at the Centre for Strategic and International Studies, noted that most countries may eventually lack options to compete on frontier models, driving a universal focus on AI sovereignty.
"The bifurcation of the global artificial intelligence landscape into US-led and China-led blocs creates complex strategic challenges for emerging markets and developing economies. As nations navigate this technological divide, access to critical minerals, semiconductor supply chains, and data infrastructure will dictate economic positioning. Founders and business leaders operating in the tech sector must closely monitor these geopolitical alignments, as cross-border dependencies and regulatory standards will directly influence international expansion, funding access, and technological adoption in the coming years." — Dr. Shishir Gupta, Founder & CEO, StartupLanes
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