risk · R30
Geopolitical AI Competition, Sovereignty & Supply Chain Conflict
Nation-states are competing for AI dominance through sovereign AI budgets, chip export controls, and strategic infrastructure investment. This competition is fragmenting global AI governance, weaponizing supply chains, and escalating technological sovereignty conflicts among major powers and aspiring regions.
Updated
Observatory assessment: 60 / 100. High
Deep dive
AI has become a centerpiece of national strategy, with governments launching dedicated compute funds, sovereign AI initiatives, and national chip programs to secure a position in the global AI hierarchy. Export controls on advanced semiconductors, tariffs on critical materials, and restrictions on model access have become routine instruments of statecraft, reframing compute and models as strategic resources rather than commodities.
The competitive dynamic is producing fragmentation rather than convergence. Allied blocs disagree over sovereignty, data flows, and the balance between openness and security, while middle powers pursue 'strategic autonomy' to avoid dependence on any single ecosystem. Supply chain weaponization—through tariffs, investment screening, and chokepoint control—creates collateral costs for industries and researchers who rely on globally distributed hardware and software.
The deeper risk is governance erosion. As countries prioritize competitiveness and leverage, multilateral AI governance initiatives struggle for traction, giving way to plurilateral clubs and bilateral deals that exclude much of the world. This risks a durable bifurcation in standards, models, and access, with smaller nations and the Global South largely reduced to rule-takers. The long-term question is whether the competition can be channeled into stable guardrails or whether it accelerates toward an unregulated arms race in which safety considerations are subordinated to relative gains.
Trajectory and projections
Near term
By 2026, sovereign AI budgets and chip export controls are entrenched instruments of policy, with allied summits increasingly preoccupied by sovereignty disputes rather than collective action.
Mid term
By 2030, a plurilateral governance architecture consolidates among leading blocs, but meaningful global agreement remains elusive as compute and models become instruments of strategic leverage.
Long term
By 2035, the competition may either stabilize into managed rivalry with shared guardrails, or deepen into a bifurcated order with distinct, poorly interoperable AI ecosystems.
Mitigation strategies
- International agreements on minimum AI safety and export-control transparency standards
- Coordinated multilateral governance forums with binding dispute mechanisms
- Diversification of critical mineral and semiconductor supply chains
- Capacity-building funds for Global South participation in AI standard-setting
- Confidence-building measures such as AI incident notification protocols between major powers
Top evidence
The U.S.-China AI Race is Changing the Stakes for Taiwan
Council on Foreign Relations
The intense AI competition between the U.S. and China is significantly raising the geopolitical stakes for Taiwan, whose critical supply chain ecosystem is vital for American AI leadership. A potential conflict in the Taiwan Strait would threaten the future of the global AI industry, emphasizing the need for Washington to ensure Taiwan's stability.
Data Union Conference
EU Digital Strategy (EC)
This article announces a high-level conference hosted by the European Commission focused on turning Europe's data policies into more data for AI, growth, and competitiveness. It signifies a strategic effort to leverage data and policy frameworks to bolster AI development and economic standing within the EU.
New partnership set to see the UK and Ukraine develop battle winning technology as Britain secures access to Ukraine's Avengers AI Labs
UK DSIT AI (GOV.UK)
The UK and Ukraine are forming a new partnership to develop "battle winning technology" through access to Ukraine's "Avengers AI Labs." This signifies an acceleration in the development and deployment of military AI, highlighting geopolitical competition and the potential for AI-enabled conflict escalation.
Researchers observe first ‘near-autonomous’ AI attack on government target in Taiwan
AI Incident Database
Suspected Chinese hackers used open-source AI models to launch a "near-autonomous" cyberattack against the Taiwanese government, marking the first publicly known instance of an AI-driven hack targeting a state entity. This incident demonstrates the escalating threat of AI systems acting as independent cyberattack agents, capable of sophisticated and rapid assaults.
Beijing and Washington Can Build AI Safety Despite Mutual Distrust
Foreign Policy
The article argues that despite mutual distrust, Beijing and Washington can and should engage in practical cooperation on AI safety. It suggests that international collaboration on AI governance and risk mitigation can exist alongside geopolitical competition.