Battle Beneath the Algorithm: The Race to Rule the AI Age
By Hayley Hulme
The New Strategic Resource
Artificial Intelligence (AI) is increasingly becoming one of the defining geopolitical issues of the 21st century. Once viewed primarily as a commercial innovation driven by private technology firms, AI is now deeply connected to national security, economic competitiveness, and international influence. Increasingly, policymakers recognise that AI is a strategic asset capable of reshaping global power dynamics. Increasingly, policymakers recognise that leadership in AI may shape the future balance of global power itself. Much like oil, industrial capacity, and nuclear technology in earlier eras, control over AI infrastructure and technological leadership is emerging as a key determinant of geopolitical power.
The shift reflects the growing recognition that technological dominance increasingly shapes both economic resilience and strategic influence. Advanced AI systems rely on enormous computing power, semiconductor technologies, and vast quantities of data, all of which are becoming central to geopolitical competition. As a result, the global race for AI leadership is no longer confined to innovation alone; it is increasingly a contest over who will shape the future economic and political order.
The US-China Technological Rivalry
At the centre of this competition lies the deep technological rivalry between the United States and China. While geopolitical tensions between the two powers span trade, security, and diplomacy, AI has become a significant front in the broader struggle for global influence. Competition between the United States and China over semiconductors and computing infrastructure has intensified in recent years, reflecting broader geopolitical tensions surrounding technological leadership.
The United States currently maintains advantages in advanced semiconductor design, leading technology firms, and cutting-edge AI research. Companies such as OpenAI, Google, Microsoft, and NVIDIA remain central to the development of large-scale AI systems and advanced computing infrastructure. However, China has rapidly expanded its own AI ambitions through extensive state-backed investment into AI and advanced manufacturing, industrial policy, and long-term strategic planning. Beijing increasingly views AI as essential to reducing dependence on foreign technologies while strengthening domestic technological capacity.
This rivalry has become particularly visible in the semiconductor sector. Advanced AI systems require sophisticated computer chips that are capable of supporting large-scale data processing and machine learning. In response to ongoing competition and national security concerns, the United States introduced export controls restricting China’s access to advanced semiconductors and chip-making technologies. In addition, recent US tariffs have been imposed on foreign sales of advanced AI chips. These measures demonstrate how semiconductor policy has become increasingly intertwined with geopolitical strategy.
China’s efforts to reduce technological dependence have accelerated following US semiconductor restrictions, with firms such as Huawei pursuing alternative chip development strategies despite ongoing sanctions. At the same time, China is heavily encouraging the replacement of foreign AI chips with domestically developed alternatives for state-backed infrastructure projects. The competition over semiconductors highlights a broader reality that technological supply chains are inherently political. Access to advanced computing infrastructure is now treated as a matter of national security rather than purely commercial exchange. In this sense, semiconductors have become the strategic equivalent to oil in the digital age.
AI, National Security, and Technological Sovereignty
The growing geopolitical importance of AI extends beyond economics. AI-enhanced surveillance technologies, autonomous military systems, and predictive data analysis are already reshaping modern security environments.
As a result, many states are pursuing forms of “technological sovereignty” designed to reduce dependence on foreign digital infrastructure. Increasing concerns surrounding technological dependence have encouraged many governments to pursue forms of “digital sovereignty” and domestic technological resilience.
The European Union, for example, has placed a growing emphasis on digital sovereignty and strategic autonomy. The European Union has increasingly pursued “tech sovereignty” policies aimed at reducing dependence on foreign AI infrastructure and cloud computing systems. European policymakers have argued that excessive dependence on foreign technology firms may weaken Europe’s long-term economic and political influence. Similarly, countries such as Japan, South Korea, and India have expanded investments in semiconductor manufacturing and AI industries to strengthen domestic technological resilience.
These developments reflect a broader transformation in international politics. Economic interdependence, once widely viewed as a stabilising force within globalisation, is increasingly being reassessed through the lens of national security and geopolitical competition.
Fragmented Governance and the Regulation Challenge
At the same time, governments are struggling to develop regulatory frameworks capable of keeping pace with rapid technological change. Concerns surrounding misinformation, intellectual property, surveillance, labour displacement, and algorithmic bias have generated growing calls for oversight. Yet global approaches to AI governance differ significantly across political systems.
Diverging regulatory approaches between the European Union, the United States, and China risk contributing to fragmentation in global digital governance. The European Union has pursued a comparatively precautionary approach through legislation such as the EU AI Act, emphasising ethics, transparency, and risk management in AI development. At the same time, the United States has largely prioritised innovation and private-sector leadership, while China has pursued a more state-directed regulatory model.
These diverging approaches risk producing fragmented systems of global digital governance. Rather than developing unified international standards, the world may instead move toward competing technological spheres shaped by different political values and regulatory priorities. This fragmentation could complicate international cooperation on issues such as cyber security, AI safety, cross-border data governance, and digital trade.
The Emerging Global AI Divide
The rise of AI also risks reinforcing global inequality. Economies with stronger technological infrastructure and research capacity are likely to gain disproportionate advantages from AI-driven growth. Countries with advanced research capabilities, computing infrastructure, and financial resources are therefore likely to strengthen their positions within the global economy.
In contrast, developing economies may face increasing difficulty competing in an automated global economy where low-cost labour becomes less significant. This creates the possibility of widening the “AI divide” between technologically advanced states and countries lacking access to digital infrastructure and research capacity. Just as industrialisation and globalisation produced uneven gains across regions, AI may further concentrate economic power within a relatively small group of technologically dominant economies and firms.
At the same time, smaller but highly strategic economies such as Singapore have invested heavily in AI strategies, recognising that technological leadership may increasingly shape future economic resilience. Their experiences demonstrate that proactive investment in education, digital infrastructure, and innovation policy may help smaller states remain competitive within the evolving global economy.
The Next Frontier of Global Competition
AI is no longer simply a technological development; it is becoming a defining feature of global power politics. AI is increasingly reshaping not only economic systems, but also geopolitical competition and international governance structure. The competition surrounding semiconductors, computing infrastructure, and AI governance increasingly reflects broader struggles over economic influence, national security, and international leadership. As technological competition intensifies, the boundaries between economics, security, and geopolitics are becoming increasingly blurred.
Much like earlier strategic resources transformed international relations in previous centuries, AI is reshaping the foundations of geopolitical competition today. The challenge facing governments is no longer whether AI will transform global power dynamics, but how states adapt to increasingly technology-driven international order.
Hayley Hulme is a Law and Commerce (Economics) student at Curtin University with a strong interest in how economics, law, and public policy interact to shape real-world outcomes, particularly in global economic policy, international trade, and broader macroeconomic dynamics. She has developed policy and leadership experience through the WA Youth Parliament and a range of university roles, including mentoring, ambassadorship, and university clubs and organisations.
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