Abstract: This article explores the rising convergence of national security considerations and global proliferation of artificial intelligence (AI) technology, especially focusing on the geopolitical ramifications of U.S. limitations on exporting cutting-edge AI technologies and its impact on Europe’s technological autonomy.
Based on recent political rhetoric and policy trends, the paper posits that there is a major shift in artificial intelligence governance from its initial framework of market-based practices and international cooperation towards one based on geopolitical rivalry and state strategic interests. (Farrell & Newman, 2019; Khan, 2023).
Three analytical dimensions will be presented: the security consideration underpinning access limitations; the European political reaction within the context of technological sovereignty; and the systemic dangers associated with fragmented AI ecosystems. It concludes that, absent deliberate international coordination mechanisms, the cumulative effect of unilateral access policies may accelerate the emergence of distinct AI blocs, with profound consequences for global innovation, interoperability, and governance coherence.[1]
Introduction
The accelerating development and deployment of frontier artificial intelligence systems has introduced a new dimension into international political economy: the treatment of AI capabilities as a strategic national asset, subject to the same logic of rivalry, access control, and sovereignty that has historically governed sectors such as defence, energy, and semiconductors.[2] This trend aligns with the recent research trends showing the emergence of geopolitics as a major sphere of AI competition (Khan, 2023). With the AI expertise increasingly being controlled by few corporations, countries have found ways to gain advantage in geopolitics through access to compute capacity, advanced semiconductors, cloud computing, ecosystems of data, and development of cutting-edge models (Khan, 2023). Governance of AI, thus, increasingly involves national interests of strength and technology domination, rather than mere competition or collaborative science. Recent reports concerning U.S. government restrictions on European access to Anthropic’s most advanced AI models serve as a critical empirical entry point for this analysis. [3]
These reports have prompted significant political reactions across Europe, with prominent policymakers framing the episode not as an isolated commercial dispute but as symptomatic of a deeper structural condition: the vulnerability that arises from strategic dependence on foreign-and specifically American-AI infrastructure. Such a framing resonates with longstanding European advocacy for “technological sovereignty,” a concept that has gained considerable traction in policy circles since at least the mid-2010s.[4]
This article proceeds in three substantive sections.
In first section, the focus is on the national security logic behind restrictions on access to AI technology and an exploration of contradictions inherent in using nationality-based approaches for managing risks when the very nature of the threat and skills involved in AI are universal in nature.[5] In section two, the EU’s response is analyzed as part of the discourse on technological independence. The third section deals with the systemic impacts with specific reference to the potential for ecosystem fragmentation in AI.
1. National Security Rationales and the Limits of Access-Based Risk Management
The reported U.S. restrictions on access to frontier AI models appear to be predicated on a security rationale-specifically, concerns that advanced AI systems could provide meaningful assistance to actors seeking to conduct or enhance cyberattacks. If policymakers were presented with credible evidence that a frontier model could generate operationally significant information for malicious cyber actors, there is a defensible basis for treating access to that model as a risk vector requiring management. Within the established frameworks of export control law-exemplified by the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR)-such restrictions have clear precedent in the governance of dual-use technologies.[6]
However, the application of nationality-based access restrictions to AI systems raises several significant conceptual and empirical difficulties. First, the cybersecurity threat landscape is not structured along national lines in ways that correspond neatly to the regulatory categories of export control regimes. Cyber capabilities, knowledge, and actors are distributed globally; restricting European access to a specific AI system does not straightforwardly reduce the availability of cybersecurity knowledge to adversarial actors who operate across national boundaries. At the same time, the possibility that geographic or nationality-based screening may contribute to risk management should not be dismissed and deserves serious consideration. [7]
Second, and possibly even more importantly, the application of nationality-based screening measures with regard to the availability of AI technology poses the danger of strategic externalities that may outweigh any security benefits of such measures. The political and diplomatic costs of such restrictions-particularly when they are directed toward NATO allies – may ultimately undermine the very security partnerships and structural advantages that the United States possesses in its competition with rival powers.
2. Technological Sovereignty and the European Political Response
The European political reaction to reported AI access restrictions has been notably swift and strategically framed. Statements from prominent figures in the French political establishment-including former Prime Minister Gabriel Attal and parliamentarian Benjamin Haddad-have positioned AI not merely as a commercial or technological domain but as a geopolitical asset of the first order, analytically comparable to semiconductor supply chains, energy infrastructure, and defence capabilities.[8] This framing is neither accidental nor merely rhetorical; it reflects a coherent strategic vision that has been developing within European policy circles for several years.
The concept of “technological sovereignty”- understood as the capacity to develop, control, and regulate critical digital and technological infrastructure within European jurisdiction-has emerged as a central organising principle of EU digital strategy.[9] Its articulation precedes the current episode but has been significantly reinforced by it. What the reported restrictions provide is a concrete and publicly legible example of the vulnerability that arises from strategic dependence: a situation in which access to capabilities deemed essential for economic competitiveness and national security can be curtailed unilaterally by decisions made in a foreign capital.
From the viewpoint of weaponized interdependence, this event highlights the possibility that control over important technological networks can give rise to geopolitical influence. According to Farrell and Newman (2019), the central position of states in global economic and technological networks is such that the power over strategic chokepoints can enable them to wield influence. Hence, what the reported bans signify is not just the act of denying access, but the fact that control over cutting-edge AI technologies is still firmly in the hands of very few actors and jurisdictions.
It is analytically important to acknowledge, however, that European declarations of AI sovereignty are not made in conditions of strategic neutrality. Yet, more generally, the episode poses issues about the interplay between regulatory power and technological power. While the EU has been able to establish its leadership role within the sphere of regulation in technology, regulatory power alone could turn out to be inadequate for achieving lasting influence in the realm of AI. Influence will depend on gaining access to computing power, cutting-edge semiconductors, cloud services, and participation in building models at the frontier. The present controversy is not simply one of sovereignty in the traditional sense of the term, but also of technological power.
European leaders have clear institutional incentives to amplify narratives of technological dependency, insofar as such narratives strengthen the political case for domestic investment in AI research, compute infrastructure, and data governance frameworks. The current episode accordingly functions as both a genuine strategic signal and a resource in ongoing political contests over the allocation of public and private investment across the European AI ecosystem. Disentangling authentic strategic concern from strategic communication remains a necessary exercise for analysts seeking to assess the policy implications of European responses.
3. AI Ecosystem: Systemic and Structural Risks
The wider consequences of the event described in this article extend far beyond diplomatic repercussions.
At a structural level, it exemplifies a pattern of interaction that, if sustained and generalised, could fundamentally reshape the architecture of the global AI ecosystem. The critical analytical question is not whether nationality-based AI access restrictions represent an isolated exception or an early instance of a more systematic trend toward AI bloc formation. A fragmented global AI ecosystem-characterised by separate development trajectories, incompatible technical standards, divergent governance frameworks, and differential access regimes along geopolitical lines-would carry substantial costs for innovation, interoperability, and global governance capacity. The cumulative effect of such fragmentation would likely replicate, at greater scale and pace, the dynamics observed in the splintering of the global internet into distinct regulatory zones. The AI domain, however, presents additional complexities arising from the dual-use character of frontier models, the concentration of compute resources among a small number of actors, and the rapidly evolving nature of both capabilities and risk profiles.
The above is further strengthened by the presence of extremely strong concentration factors in the AI industry as well. The creation of frontier models is coming to require unprecedentedly high amounts of investment in terms of both finance and computing power, specialized skills, and energy. The bigger the number of users, higher the income, and more comprehensive the data ecosystem of leading companies, the more likely that these firms will be able to leverage these strengths in order to create the next generation of models.
Whether the trajectory toward fragmentation is inevitable depends in significant part on the institutional choices made by key actors in the near term. The development of robust, inclusive, and technically credible international governance mechanisms for AI-whether through existing multilateral institutions, purpose-built agreements, or hybrid arrangements-represents the principal countervailing force against the consolidation of a fragmented order. The current episode thus functions as both a symptom of, and a potential accelerant for, the deeper structural tensions that will define the political economy of AI governance in the decades ahead.
Conclusion
This article has argued that the reported restrictions on European access to U.S.-developed frontier AI systems represent more than a bilateral diplomatic irritant. They instantiate a broader and structurally significant pattern: the progressive incorporation of AI capabilities into the strategic logic of great-power competition, with attendant implications for the norms, institutions, and access regimes through which AI technologies are governed globally.
Three conclusions merit particular emphasis. First, the security rationale for nationality-based AI access restrictions, while not without foundation, requires far more rigorous empirical and normative justification than has been publicly advanced. The fit between the instrument-geographic filtering of access-and the objective-reduction of security risk from dual-use AI capabilities-is imperfect and potentially counterproductive in its diplomatic consequences. Second, European responses, while strategically intelligible, must be evaluated with awareness of the incentive structures that shape how AI dependency is framed in political discourse. Third, and most importantly, the systemic risk of AI ecosystem fragmentation warrants urgent attention from scholars, policymakers, and international institutions. The long-term character of the emerging AI order will be shaped by both the technical trajectory of AI development and by the political choices made now about the governance frameworks within which those developments unfold.
This problem becomes especially relevant for states attempting to develop a higher degree of technological independence despite reliance on external infrastructure and platforms. The more that frontier AI technologies are monopolized by certain actors, the more that problems of access and vulnerability may come to rival issues of governance as key considerations when it comes to advanced technologies. Whether those frameworks are inclusive and internationally coordinated, or fragmented and structured by bloc logic, remains an open question-and one of the defining governance challenges of the coming decade. (Vanberghen, 2021)[10]
[1] Mueller, M. L. (2017). Will the internet fragment? Sovereignty, globalization and cyberspace. PolityPress.
[2] Drezner, D. W. (2019). The system worked: Global economic governance during the global financial crisis. World Politics, 66(1), 123–164. https://doi.org/10.1017/S0043887113000348
[3] “EU Commission looking at practical consequences of Anthropic decision, spokesperson says” available at: https://www.reuters.com/legal/litigation/eu-commission-looking-practical-consequences-anthropic-decision-spokesperson-2026-06-14
[4] European Commission. (2020). Shaping Europe’s Digital Future. Brussels: European Commission, available at https://commission.europa.eu/system/files/2020-02/communication-shaping-europes-digital-future-feb2020_en_4.pdf
[5] Broeders, Dennis, Liisi Adamson & Rogier Creemers, 2019 A coalition of the unwilling? Chinese and Russian perspectives on cyberspace, The Hague Program for Cyber Norms Policy Brief, November 2019.
[6] Export Administration Regulations, 15 C.F.R. § 730.3 (defining and regulating “dual-use” items); International Traffic in Arms Regulations, 22 C.F.R. pts. 120–130 (regulating defense articles and services). These frameworks have long served as mechanisms for controlling technologies with both civilian and military applications Export
[7] Hintz, A., Dencik, L., & Wahl-Jorgensen, K. (2019). Digital citizenship in a datafied society. Polity Press.
[8] Claudie Moreau, “US decision to block Mythos access fuels European calls for sovereignty
French presidential hopeful Gabriel Attal said it shows “the AI war has already begun”” available at: https://www.euractiv.com/news/us-decision-to-block-mythos-access-fuels-european-calls-for-sovereignty/
[9] See European Commission, Shaping Europe’s Digital Future, COM(2020) 67 final (2020); European Commission, 2030 Digital Compass: The European Way for the Digital Decade, COM(2021) 118 final (2021);
[10] Cristina Vanberghen, Alexandra Vanberghen – EU internet law in the digital single market, 2021 – Springer, “AI governance as a patchwork: The regulatory and geopolitical approach of AI at international and European level”
