In classical international relations theory, “anarchy” was defined as a structural feature of the international system in which states pursued hard-power balances to ensure their survival. Yet, as the international order approaches the latter half of the 2060s, this balance is being reshaped by a nonlinear prime mover, namely “generative artificial intelligence and advanced computational models.” AI is no longer merely a technological tool serving industry. It has become an underlying and increasingly directing layer of the international order. Today, national power is measured not only by nuclear arsenals or conventional GDP, but also by “hyperscale compute capacity,” ownership of foundation models, and the ability to establish algorithmic standards. In this context, the Technology Diplomacy Institute examines this transformation through the lenses of geopolitical competition, technology governance, and national autonomy.
The emergence of this new era has confronted foreign-policy establishments with the need for recalibration. What is now described as “AI diplomacy” represents a new arena of competition in which alliances are shaped not only by geographic boundaries or traditional political ideologies, but around “data blocs” and “legal regimes for algorithmic regulation.” This report analyzes how AI is becoming a central axis of geopolitical competition, examines the structure of global standard-setting regimes, and considers policy options available to emerging actors seeking to preserve their technological sovereignty.
Compute Clubs and the New Stratification of the International Order
One of the defining characteristics of the emerging geotech landscape is the acute concentration of advanced computational infrastructure among a limited number of actors. This concentration has produced the concept of “compute clubs.” These clubs consist of states and technology corporations that control the full AI value chain, including advanced semiconductor design, hyperscale data centers, and advanced deep-learning algorithms.
This structural concentration increases the risk of a transnational oligopoly in which states outside these clubs become mere consumers and digital dependents. From a policy perspective, this new stratification has transformed the meaning of national autonomy. A state without sovereign domestic AI models is compelled to rely on foreign cloud and algorithmic architectures to manage critical infrastructure, ranging from energy distribution and healthcare to financial and security systems. This structural dependence significantly increases national vulnerability to geopolitical shifts and targeted technological sanctions.
The War of Standards and Global AI Regulatory Regimes
The primary arena of AI diplomacy is currently the formulation of standards and ethical codes. Each power bloc seeks to establish its regulatory model as a de facto international standard in order to channel global markets and the trajectory of technological development. Three broad regulatory approaches are currently competing with one another.
- The European Union model, based on risk and human rights, is exemplified by the European AI Act. This approach focuses on protecting citizens’ data, algorithmic transparency, and rigorous risk assessment while seeking to export its legal standards globally through the “Brussels Effect.” Although this model provides a high degree of legal certainty, its substantial bureaucratic requirements can sometimes slow innovation.
- The United States model, which is market-driven and security-oriented, rests on open innovation, private-sector leadership, and the use of presidential executive orders to manage national security risks. Its principal objective is to preserve the technological lead of U.S. companies in competition with China while building technology-security alliances with Western partners.
- The Chinese model, which is state-centric and platform-oriented, focuses on extensive state control over data flows, comprehensive localization of infrastructure and algorithms, and the use of AI to strengthen national governance and develop systems of social control. Through initiatives such as the Digital Silk Road, China seeks to export this regulatory and infrastructure model to developing countries.
Algorithmic Sovereignty and the Redefinition of National Autonomy
Within this competitive environment, the traditional concept of sovereignty has evolved into “algorithmic sovereignty.” Algorithmic sovereignty refers to the ability of a nation-state to independently determine how its national data are collected, processed, and analyzed by AI systems without interference from or dependence on foreign technical architectures. This concept extends beyond the physical protection of data. It also encompasses the sovereign capacity to interpret data and generate knowledge according to domestic values and norms.
When a state deploys foreign large language models across its educational or administrative systems, it is systematically introducing the cultural, cognitive, and political biases embedded in those models into its society. Accordingly, AI diplomacy should serve as a frontline instrument of national cognitive and cultural defense. The central mission is to build parallel coalitions with aligned states to develop shared open-source models and balanced data-reciprocity regimes that respect the cultural and political sovereignty of actors outside exclusive technology clubs.
Emerging Instruments of Diplomacy in the AI Era
Pursuing a dynamic foreign policy in this era requires the reconstruction of diplomatic instruments. Embassies and international institutions can no longer manage geotech files through twentieth-century protocols. Several emerging instruments should be placed on the policy agenda.
- Technology embassies and special AI envoys. The appointment of special AI envoys to major global innovation centers can facilitate dynamic monitoring of regulatory developments and establish direct channels of communication with deep-tech developers.
- Bilateral and plurilateral data pacts. Strategic agreements can be established for sharing industrial and scientific data with aligned countries in order to achieve the data scale required to train domestic AI models without compromising national sovereignty.
- Open-source diplomacy. Active participation in international software-development communities and open standards can serve as a means of breaking technological monopolies and building technical coalitions with global experts.
Geopolitical Risks and Cross-Border Hybrid Threats
From a national-security and strategic-policy perspective, AI has significant potential to redefine hybrid threats. AI-directed automated cyberattacks, the mass and low-cost production of fake-news and disinformation campaigns aimed at influencing political processes and elections, and the weaponization of algorithms through drones and autonomous systems are all manifestations of these risks.
In its defensive dimension, AI diplomacy should seek international conventions comparable to non-proliferation regimes for weapons of mass destruction in order to control algorithmic weapons. The absence of a coherent international framework for cyber and algorithmic deterrence is pushing the world toward a form of digital anarchy in which non-state actors and malicious groups may also gain access to advanced offensive capabilities.
Policy Options for Emerging Actors
An assessment of global trends indicates that the window of opportunity for securing a position within the emerging global algorithmic order is rapidly narrowing. For actors seeking to avoid geotechnological isolation and preserve algorithmic sovereignty, the following strategic steps are proposed.
- Develop joint compute diplomacy. Establish regional consortia with neighboring and aligned countries to share computational capacity and build shared cloud infrastructure capable of competing with multilateral monopolies.
- Participate actively in international standard-setting institutions. Effective participation in international forums such as ITU, ISO, and emerging United Nations agencies concerned with AI can influence the process of developing global rules.
- Design flexible domestic regulatory regimes. Establish dynamic domestic rules that balance national security and freedom of innovation while creating an environment conducive to attracting talent and developing domestic models.
Only through a coherent strategy that connects geopolitical analysis with genuine technical capabilities can a state secure its security, development, and autonomy in the future algorithmic world.