World Order & US Politics

Artificial intelligence, chips, data, and corporate moves as instruments of great‑power competition

Artificial intelligence, chips, data, and corporate moves as instruments of great‑power competition

AI race and tech power competition

The 2026 Great-Power Contest: AI, Chips, and Data Sovereignty at the Forefront of Geopolitical Rivalry

As the global landscape in 2026 continues to evolve rapidly, the intense competition among major powers—primarily the United States, China, and Europe—has centered on three critical domains: artificial intelligence (AI), semiconductor technology, and data sovereignty. These arenas are defining not only technological progress but also shaping diplomatic strategies, military postures, and economic alliances. The convergence of innovation, resource control, and geopolitical ambitions signals a new era where technological dominance equates to strategic influence on the world stage.


Strategic Rivalry Over AI Capabilities

The AI race remains at the heart of great-power competition. The quest for Artificial General Intelligence (AGI)—machines capable of human-like reasoning—drives tensions, with both the U.S. and China vying to claim first-mover advantage. Achieving AGI promises unrivaled economic benefits and military supremacy, prompting accelerated investments and research.

However, this race is fraught with risks. Recent investigations have exposed industrial-scale espionage efforts—notably Chinese entities engaging in “model distillation campaigns”—illegally extracting capabilities from large language models (LLMs) like Claude through fraudulent accounts and proxy operations. Anthropic, a prominent AI firm, publicly accused Chinese labs such as DeepSeek and Moonshot AI of stealing proprietary models, raising alarms over model theft and the potential weaponization of AI for surveillance and cyber warfare.

Meanwhile, private sector giants like Nvidia continue to dominate hardware innovation. Nvidia reported a 73% surge in Q4 earnings, reaching $68 billion, underscoring the critical importance of advanced chips for AI training and deployment. The hardware race remains pivotal, with the U.S. contemplating relaxing export controls on cutting-edge chips. Officials argue that fears of superintelligence are overstated and that easing restrictions could bolster U.S. competitiveness against China’s growing capabilities.

Ethical and Military Concerns

The private sector’s role in military AI deployment has sparked internal debates and protests. Employees at Google and Anthropic have voiced strong resistance, emphasizing ethical boundaries. Anthropic’s CEO Dario Amodei stated that the company “cannot in good conscience” comply with Pentagon demands to deploy models for military purposes, reflecting a broader push within the tech industry to restrict AI’s military applications and uphold ethical standards.


Chips and Investment Fronts

Securing the supply chain for semiconductors and AI hardware remains a top priority. Countries are investing heavily in developing indigenous capabilities, with startups like Boss Semiconductor and Axelera AI raising hundreds of millions of dollars to develop specialized AI chips, challenging established giants such as Nvidia and Intel.

In tandem, the U.S. has launched initiatives like Project Vault, a $12 billion effort to develop domestic mineral reserves essential for manufacturing AI hardware components. Critical minerals like rare earth elements, lithium, and cobalt are now strategic resources, underpinning the foundation of AI hardware and green energy infrastructure.

Further, debates over export controls continue, with policymakers weighing the benefits of easing restrictions against security risks. The goal is to bolster domestic innovation while safeguarding against technological leakage that could empower adversaries.


Data Sovereignty and Geopolitical Shifts

Data sovereignty laws—regulations that restrict cross-border data flows—are reshaping the global AI ecosystem. The U.S. actively lobbies diplomatically against such laws, fearing they could fragment data markets and hinder AI development. Conversely, nations including India, Germany, and Canada are pursuing independent standards, striving for AI sovereignty that reduces reliance on U.S. or Chinese infrastructure.

Diplomatic and Regional Strategies

Diplomatic moves reflect this diversification. Notably, German CDU leader Friedrich Merz’s recent meeting with Xi Jinping, which included a substantial Airbus order, signals Europe's willingness to strengthen ties with China despite ongoing tensions. Similarly, the European Union and Canada have jointly opposed U.S. tariffs, emphasizing regional resilience and multilateral cooperation.

OpenAI’s Military Engagement

A significant development in 2026 is OpenAI’s new deal with the Pentagon, announced recently, which includes ethical safeguards and restrictions to prevent misuse of AI models in military contexts. This move signals an attempt to balance innovation with responsibility, although it has sparked debate about the potential escalation of civilian-military AI applications and the risk of blurring lines between offensive and defensive uses.


New Frontiers: Military, Space, and Resource Competition

The geopolitical stakes extend beyond AI and data. The Arctic has become a militarized frontier, with Russia expanding its bases and China deploying icebreakers and establishing research stations, integrating Arctic routes into the Belt and Road Initiative. Melting ice caps have opened new shipping lanes and resource-rich regions, prompting strategic maneuvers from multiple nations.

In space and cyberspace, nations are ramping up military activities. The integration of space-based AI systems and cyber infrastructure into national security frameworks heightens the risks of miscalculation and escalation, especially amid ongoing tensions around Taiwan and Arctic sovereignty.

Simultaneously, competition for critical minerals—such as rare earths and lithium—has intensified. These resources are vital for AI hardware, green energy, and military applications, prompting efforts to secure supply chains and develop alternative sources.


Current Status and Future Outlook

2026 stands as a pivotal year in the great-power contest over AI, chips, and data sovereignty. The decisions and policies enacted now will influence the trajectory of global influence, technological innovation, and geopolitical stability for decades.

  • The U.S. seeks to maintain technological supremacy through strategic investments, but faces challenges from China’s rapid advancements and regional players diversifying their AI strategies.
  • China continues aggressive development, employing espionage and expanding its AI capabilities, while also pursuing self-reliance in critical hardware.
  • Europe and other regional powers are carving independent paths, seeking to balance cooperation and sovereignty amid a fractured global ecosystem.

The evolving landscape underscores the importance of balancing competition with responsible governance. Ethical considerations, security risks, and diplomatic stability must guide policymakers as they navigate this complex terrain.


Implications

  • The pursuit of AI and semiconductor dominance will shape military and economic power balances.
  • Resource control and data sovereignty initiatives could fragment the global digital economy, fostering regional ecosystems.
  • Ethical and legal frameworks, such as those emerging from private sector efforts and international diplomacy, will be crucial in preventing escalation and misuse.

In sum, the world is approaching a new equilibrium—one defined by technological prowess, strategic resource management, and diplomatic agility. The choices made today will determine whether this future is marked by innovation and cooperation or by heightened tensions and instability.

Sources (43)
Updated Feb 28, 2026
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