DIGITAL SOVEREIGNTY AND GLOBAL AI GOVERNANCE: WHY CENTRAL ASIA'S STRATEGIC CHOICES MATTER IN A NEW TECHNOLOGY ORDER

Danish Scientific Journal No101, 2025 25 ECONOMIC SCIENCES DIGITAL SOVEREIGNTY AND GLOBAL AI GOVERNANCE: WHY CENTRAL ASIA’S STRATEGIC CHOICES MATTER IN A NEW TECHNOLOGY ORDER Azizov E. Ph.D. in Economics, Azerbaijan State University of Economics; Master of Public Administration, John Jay College of Criminal Justice, USA Former Economics and Finance Officer, United Nations (2014–2024) Independent Researcher, New York, USA https://doi.org/10.5281/zenodo.17493456 Abstract Artificial intelligence is quickly becoming a new foundation of state power. From who owns the servers to who writes the algorithms, decisions about digital technology now influence economic security, diplomatic leverage, and national autonomy. Although most global policy debates are dominated by the United States, China, and the European Union, countries that sit at the edges of these great-power digital spheres—such as the Central Asian republics—face some of the most difficult choices. This article approaches digital sovereignty from the vantage point of Central Asia, a region whose economies depend heavily on foreign providers of telecommunications, cloud storage, and emerging AI systems. Through an examination of national strategies and regional initiatives linked to the United Nations, OECD, and other multilateral settings, the paper highlights how governments in Astana, Tashkent, Bishkek, Dushanbe, and Ashgabat are trying to upgrade their digital capabilities without sacrificing political independence. The analysis shows that the region’s path to genuine sovereignty in AI will require more than just new regulations. Building human capital, negotiating diversified partnerships, and pursuing shared standards at the regional level are just as important. These efforts can help Central Asian states avoid over-dependence on any single external actor and give them a more confident role in shaping the evolving global AI governance landscape. Keywords: Digital sovereignty, AI governance, Central Asia, technological dependence, innovation ecosystems, economic security, digital infrastructure Introduction Artificial intelligence is no longer just a technological upgrade; it is reshaping how countries protect their economies and assert influence in global politics. Control over algorithms, data storage, and digital infrastructure increasingly determines which states can set the rules of international trade, cybersecurity, and online governance. A small group of leading economies—principally the United States, China, and the European Union—currently dominates AI development and the legal standards surrounding it. For many countries, especially those outside the core innovation hubs, this concentration of technological capacity poses difficult questions about long-term autonomy. Central Asia provides a compelling example of that challenge. The region finds itself surrounded by technological giants and historically strong political partners. Cloud services, communications hardware, and cybersecurity tools across Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan are largely supplied by foreign firms. While these technologies have helped accelerate economic modernization, they also introduce vulnerabilities: sensitive data may be processed abroad, switching costs can grow over time, and bargaining leverage shifts toward suppliers who control foundational systems. At the same time, governments in the region are actively planning for a digital future. National development programs in Kazakhstan and Uzbekistan, for instance, include commitments to expand AI research, digital public services, and education in advanced technologies. Yet, despite these ambitions, Central Asian states have limited influence over global discussions on how AI should be governed. The risk is that they become fast adopters of technology while having little voice in decisions about how that technology will shape the world economy. This article argues that Central Asian countries can better protect their economic interests by strengthening digital sovereignty, not in isolation, but through coordinated regional efforts. Reducing dependence on a single external partner, investing in homegrown digital talent, and seeking a more assertive role in international digital policymaking can help position the region as a contributor—not just a consumer—in the emerging AI order. Digital Sovereignty in Global AI Governance The idea of digital sovereignty has evolved rapidly over the past decade. Early debates focused mainly on security—governments worried about foreign surveillance, cyberattacks, or sensitive information leaking across borders. Over time, scholars broadened the concept to include the economics of the digital world: who owns the platforms that businesses rely on, where data is stored, and which countries profit from the value extracted through digital services. The European Union sharpened this discussion when it introduced the General Data Protection Regulation (GDPR) in 2016. The regulation signaled Brussels’ intention to shape how global data markets func- 26 Danish Scientific Journal No101, 2025 tion, not just inside Europe but anywhere European residents are affected. More recently, the EU’s proposed Artificial Intelligence Act reflects its desire to embed ethical and safety rules into the future of AI development. This approach emphasizes regulatory influence as a form of economic power. The United States represents a different model. Rather than leading with regulation, it relies heavily on private companies—many of the world’s largest AI developers and cloud operators—to maintain its competitive edge. Protection of commercial innovation remains central to its vision of digital leadership. China demonstrates yet another strategy, where digital sovereignty is intertwined with industrial expansion and geopolitical ambition. Initiatives such as the Digital Silk Road export Chinese-built digital systems abroad, expanding Beijing’s sway over infrastructure and standards in many developing regions. International organizations have tried to bridge these competing philosophies. The United Nations, the OECD, UNESCO, and others have published principles encouraging transparency and inclusiveness in AI governance. Yet even within these forums, unequal technological capacity means a handful of powerful actors exert outsized influence on rulemaking discussions. Scholars argue that this imbalance risks deepening global economic divides, as countries without strong digital industries struggle to assert their interests. Central Asia remains underexplored in this conversation. Existing studies usually focus on the region’s digital development needs or cybersecurity challenges rather than its role in shaping global governance debates. Heavy reliance on Russian cybersecurity tools and Chinese telecommunications networks has been noted as a long-term constraint on industrial diversification. At the same time, Kazakhstan and Uzbekistan have begun drafting digital strategies that acknowledge sovereignty concerns and seek to attract investment into local innovation. Taken together, the literature reveals an important gap. While digital sovereignty is increasingly recognized as a driver of economic security and global influence, little has been written about how regions like Central Asia might convert growing digital capacity into real negotiation power. This paper contributes to that gap by considering the region’s strategic position within a world economy being rapidly reorganized by artificial intelligence. Central Asia in the Global Digital Economy Digital change is sweeping across Central Asia with surprising speed. Internet access has expanded to even remote areas, mobile services are widespread, and governments are pushing for e-commerce, digital finance, and more efficient public administration through online platforms. Policy strategies in Kazakhstan and Uzbekistan frequently present digitalization as a route away from overreliance on commodities such as oil, gas, and minerals. If executed well, that shift could open new doors to global value chains driven by data and software rather than physical exports. But the economic reality still places the region on the periphery of the global digital economy. Most highvalue digital services used every day—from cloud hosting and business analytics to cybersecurity—are foreign-owned. When companies in Almaty or Tashkent adopt advanced AI-enabled tools, much of the profit and intellectual property flows outward. Domestic firms benefit from modernization, yet they contribute little to innovation within the region itself. The result is a structure where technological progress strengthens dependency, not autonomy. Human capital development reveals a similar contradiction. Central Asia has a young, ambitious population with rising exposure to technology education, and many talented graduates pursue computer science and engineering. However, countries struggle to retain top professionals as opportunities abroad, particularly in Europe or Turkey, remain more attractive. Without stronger local research institutions and a vibrant digital business sector, the region risks training the workforce of other economies. Technological dependence is visible in infrastructure choices as well. Many core systems—from backbone telecom networks to cloud data centers—are supplied by external actors who determine both pricing and security guarantees. Once these technologies are deeply woven into government operations or critical services, switching becomes costly and politically sensitive. This “lock-in” effect limits the freedom of governments to renegotiate terms or explore alternatives. In the long run, that can dilute national decision-making power. Still, the situation is not one of total vulnerability. Relying on global partners has allowed Central Asian countries to leapfrog outdated technologies and access advanced tools faster than domestic innovation alone could achieve. The real challenge is ensuring that cooperation does not lead to one-sided digital dependency but instead builds institutional and economic capacity within the region. Only then can technological partnership turn into genuine economic progress. Analysis The unequal distribution of AI capabilities in the world economy is already shaping who benefits from digital trade and who simply uses technologies designed elsewhere. When the most profitable parts of the digital value chain—like cloud hosting, algorithmic analytics, and data brokerage—are controlled by companies in just a few countries, the gains accumulate far from Central Asia. Revenue from advanced digital services often leaves the region as quickly as the technologies arrive, resulting in economic growth that depends more on external innovation than domestic progress. Foreign direct investment in digital infrastructure has expanded connectivity, strengthened cyber defenses, and supported e-government platforms across the region. Yet foreign capital also tends to reinforce patterns of dependency. Ownership of the essential digital infrastructure—servers, software, cybersecurity monitoring—rests largely outside Central Asia. That means decisions about upgrades, standards, data routing, or even user access can be influenced by distant economic and political interests. When critical data is stored or processed abroad, a new kind of resource ex- Danish Scientific Journal No101, 2025 27 traction occurs: valuable analytical insights and intellectual property are captured outside the region’s borders. This imbalance makes it difficult for domestic companies to develop competitive digital industries. Entrepreneurs may adopt AI tools for logistics, retail, or finance, but they do not build or control the underlying technologies. Local startups often struggle to move from imitation to innovation because research funding, advanced computing resources, and intellectual property systems remain underdeveloped. As a result, many talented programmers and engineers look elsewhere for opportunities, reinforcing a cycle where human capital investment benefits foreign ecosystems more than local ones. Industrial policies could break this pattern if designed with determination and patience. When governments support research centers, incentivize collaboration between universities and businesses, and help early-stage firms access capital, they build the foundation of a real digital economy. The goal is not to pursue technological autarky—which would be costly and unrealistic—but to strengthen domestic capacity enough that the region can negotiate partnerships on fairer terms and retain a larger share of digital value. However, advancing innovation alone is not enough. A collective regional strategy could give Central Asia more influence in global forums where AI rules are being shaped. Acting separately, each government represents a relatively small market—limited leverage when negotiating with powerful multinational firms. But together, the five states can expand their market scale, harmonize standards, and approach global technology providers as more equal partners. Cooperation could also reduce duplication of costly infrastructure investments and promote the sharing of best practices in areas like data governance, cybersecurity, and digital trade. In essence, the current logic of AI governance places Central Asia at a crossroads. If the region continues as a consumer of imported digital technologies, dependence will deepen, and global rule-making will remain something that happens around them rather than with them. But with sustained investment in human capital, strategic regulation, and coordinated regional action, the same technologies could become catalysts for economic autonomy and global influence. Policy Recommendations Strengthening the region’s position in the digital economy will require a more proactive policy approach that extends beyond infrastructure expansion. Governments need well-defined regulatory frameworks that can withstand the pressure of dominant foreign suppliers. Clear rules for competition, fair data governance, and safeguards against monopolistic behavior would improve the region’s bargaining position. It also signals to both domestic and foreign businesses that market entry will not depend solely on political connections or opaque licensing agreements. Such predictability is often what transforms investment into long-term commitment rather than quick market capture. Building genuine technological capability also requires sustained attention to talent and innovation. Central Asian governments have laid out ambitious digital strategies, but those commitments must translate into practical support for research, universities, and emerging entrepreneurs. Programs that link education systems with real industry needs can encourage graduates to remain in the region and contribute to its technological growth. When innovators see that there is space to build competitive ideas at home—not only abroad— digital industries develop deeper roots. While national initiatives are important, acting together could provide the leverage that individual governments struggle to command. A coordinated approach to standards, data protections, and digital trade rules could enlarge the region’s economic footprint. A foreign provider might easily disregard the bargaining power of a single state, but not that of a larger, integrated market. Joint investment in shared cybersecurity infrastructure or regional data centers could also reduce costs and create new hubs of expertise within Central Asia rather than outside it. Finally, reducing exclusive reliance on any one technology partner would support economic resilience. Working simultaneously with multiple global actors— whether multinational companies or state-backed suppliers—creates more competitive pricing, encourages knowledge transfer, and minimizes the risk of political pressure embedded in technical systems. The goal is not to detach from the world but to ensure that global engagement strengthens local capability. The region will benefit most when AI adoption contributes to independent decision-making power rather than deepening technological dependency. Taken together, these shifts highlight that digital sovereignty is not just a matter of restricting foreign influence. It depends on building the institutional confidence, economic strength, and policy coordination necessary for Central Asia to shape its own technological future rather than accepting one that is determined elsewhere. Conclusion Artificial intelligence is becoming a major factor in how economic power is distributed, and regions that lack domestic control over digital technologies face limits on both growth and autonomy. Central Asia has made important progress in expanding digital infrastructure and integrating advanced technologies into public and private services, but the core systems that support modernization remain largely foreign-owned. This creates a risk that dependency becomes structural rather than temporary. The analysis suggests that without regulatory capacity, local innovation, and coordinated negotiation power, Central Asian states will continue to adopt technologies that are designed and governed elsewhere. In that scenario, economic decisions and data governance may reflect external interests more strongly than their own. The region possesses a young workforce and growing technological demand, yet these advantages will matter only if they contribute to domestic value creation rather than simply increasing digital consumption. 28 Danish Scientific Journal No101, 2025 Digital sovereignty therefore depends on two parallel efforts: first, the development of institutional capability and local technological skills; and second, engagement in international and regional governance processes where norms for AI are established. If those elements can be aligned, Central Asia can participate more effectively in the global digital economy and reduce exposure to unilateral pressure from any single technology provider. The choices governments make in the coming years will determine whether the region remains dependent on external digital systems or becomes an active actor in shaping the rules of emerging technological competition. References: 1. Belfer Center for Science and International Affairs. (n.d.). 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