The global development of artificial intelligence has entered a new stage. Until recently, the main question was who would build the strongest model. Now another question is becoming just as important: who will be allowed to access that model?
Recent international debates show clearly that frontier AI models are no longer seen only as commercial products. They are increasingly treated as matters of national security, cybersecurity, geopolitical power, and technological sovereignty. When a state can restrict access to the most powerful AI models for foreign users, companies, partner governments or even allied countries, one thing becomes clear: in the AI era, dependence is no longer only about energy, military technology or chips. Dependence can also emerge around intellectual infrastructure itself.
For Georgia, this issue is especially important. The country is still shaping the future of AI, data infrastructure, Georgian-language digital resources, cybersecurity and public digital services. If Georgia remains only a user of external AI models, it will gain fast access to new tools, but also face a risk: a political, commercial, security or regulatory decision may one day restrict access to a critical technology.
BTUAI assesses that the main conclusion for Georgia is clear: a small country should not try to build everything independently, but it must create a minimal sovereign layer of data, language, knowledge, cybersecurity and AI evaluation capacity. Otherwise, in the AI era, the country may become not only a technology user, but a technologically dependent society.
What is happening in global AI policy
Frontier AI models are increasingly becoming part of national-security and state-control debates. The logic is straightforward: if a model can write code, identify system vulnerabilities, perform complex analysis, support automated research, assist cybersecurity and in some cases demonstrate dangerous capabilities, then it is no longer only a productivity tool.
Such models can be used for defense and offense; to strengthen cybersecurity or damage systems; to accelerate research or support disinformation, automated fraud and strategic manipulation.
This is why some governments are beginning to restrict access to frontier AI models. These restrictions may affect foreign governments, companies, private users or even foreign nationals working inside AI companies. A new global reality is emerging: an AI model may become a strategic resource similar to cryptography, nuclear technology, supercomputers or advanced semiconductors.
Why this is a historical turning point
Restricting access to AI may become a process as significant as the control of cryptography in the late twentieth century or the strict control of nuclear technology after the Second World War.
Regarding cryptography, governments argued that strong encryption could have military significance. Eventually, encryption became a foundation of the digital economy, banking, the internet, personal-data protection and electronic commerce.
AI is even broader. It is used in cybersecurity, finance, healthcare, education, military analysis, law, public services, science, software development and business management.
Therefore, if AI access becomes limited by geopolitical decisions, this will not only be a technological problem, but an economic, institutional, educational, and security challenge.
Why Georgia should care
Georgia is a small open economy. In many areas, the country depends on external technology platforms: cloud services, foreign software, international cybersecurity tools, global social-media platforms, foreign AI models and international technology infrastructure.
This dependence is not always negative. A small country cannot and should not try to create everything locally. But one distinction is critical: smart integration is different from blind dependence.
Smart integration means that a country uses global technology, but understands:
where its critical data is stored;
which services may become geopolitically restricted;
what alternatives exist for critical systems;
how prepared local talent is;
whether the country has its own language resources;
whether it can evaluate AI models;
what risks come from excessive dependence on one platform.
For Georgia, this issue is especially important in four areas: public services, banking and finance, education, and the digital future of the Georgian language.
Public services: what happens if AI access is restricted?
States will increasingly use AI in document processing, citizen support, legal analysis, service automation, risk assessment, language processing, translation and crisis communication.
If a state builds much of these systems entirely on foreign models, several questions arise:
What happens if access to the model is restricted?
What happens if prices rise sharply?
What happens if the service performs poorly in a specific language or country?
Where does citizen data go?
Who controls the system’s output?
Can the state continue services through alternative means?
For Georgia, it is especially important that AI in public services is implemented not only quickly, but strategically. The public sector needs not full dependence on one provider, but an architecture in which critical data is protected, Georgian language is processed properly, human oversight exists and alternatives are considered.
Banks and the financial sector
In finance, AI is used in fraud detection, risk assessment, customer behavior analysis, personalized services, document processing and cybersecurity.
If access to frontier AI models changes because of geopolitical or commercial decisions, banks face a risk: critical analytical and security systems may become dependent on an external model whose price, terms or availability are beyond the bank’s control.
Georgia’s financial sector is one of the country’s most technologically developed sectors. For that reason, it needs a clearer AI architecture:
which tasks can be performed by an external model;
which data should not leave external systems;
which model must be evaluated for security;
what happens in an emergency;
what alternatives exist if access to a frontier model is restricted;
how the bank preserves customer trust.
In the AI era, financial stability will partly depend on digital sovereignty.
Georgian language as part of AI sovereignty
For a small country, language may become one of the most important AI resources. If Georgian is poorly represented in AI models, Georgian users will receive weaker answers, less accurate context and services that are less culturally adapted.
Ultimately, this is a matter not just of quality, but of control.
If every high-quality Georgian-language AI service depends only on foreign models, then the digital functioning of the Georgian language partly moves to external infrastructure. This means that education, public services, media, cultural archives, legal texts and business communication may depend on systems whose rules Georgia does not define.
That is why Georgian-language digital sovereignty is not only a cultural issue. It is a technological, educational, economic and security issue.
Georgia needs a high-quality data layer for the Georgian language, terminology databases, corpora of Georgian legal and economic texts, educational materials, translation resources and AI evaluation systems with Georgian context.
Cybersecurity: access and protection at the same time
Frontier AI models play a dual role in cybersecurity. On one hand, they can help identify vulnerabilities, check code, analyze threats, detect attacks and strengthen defense. On the other hand, in the wrong hands, they can be used to damage systems, support fraud, spread disinformation or automate attacks.
Government concerns are understandable. But broad and opaque restrictions can also create problems: if cyber-defenders are denied access to powerful models, defense may also become weaker.
For Georgia, the right answer to this dilemma is not uncontrolled access and not total prohibition, but a responsible-use framework:
who uses powerful AI;
for what purpose;
with which data;
under what supervision;
what logging and auditing exist;
when humans intervene;
how the security benefit and risk are measured.
What technological sovereignty means for a small country
Technological sovereignty does not mean producing everything locally. Georgia cannot and does not need to build its own global AI model, chip industry, cloud giant and every software system independently.
For a small country, technological sovereignty means at least six things:
protecting critical data;
creating digital resources for the Georgian language and knowledge;
building local capacity to evaluate AI models;
understanding dependence on external providers;
having alternative technological paths;
training talent so the country is not only a user.
Sovereignty is not isolation. Sovereignty means connecting intelligently to global technology while ensuring that critical national functions are not fully dependent on decisions made elsewhere.
Key risks for Georgia
- Overdependence on one model or provider
If the state, banks, universities or businesses build critical processes on one external AI system, restricted access or price increases can create serious problems.
- Georgian language falling behind
If Georgian-language data and evaluation systems do not develop, Georgian users will receive a second-tier AI experience.
- Loss of data control
When using external models, organizations must always know which data leaves, where it is stored, how it is processed and who is responsible.
- Unequal access to cybersecurity tools
If frontier models become restricted, small countries’ cyber-defense capabilities may fall behind those of large states and global corporations.
- Regulatory uncertainty
If global AI access changes through sudden political decisions, countries need their own regulatory readiness and alternatives.
Opportunities for Georgia
- Developing Georgian AI infrastructure
Georgia should build a trusted digital layer for the Georgian language, education, economics, law and public data. This will improve external models and strengthen local AI systems.
- AI evaluation centers
The country needs the ability to evaluate AI models in Georgian language and Georgian legal, economic, educational and social contexts. This can become a joint direction for universities, research centers and the private sector.
- Stronger cybersecurity
In an era of AI restrictions, Georgia should strengthen its own cybersecurity knowledge, data protection, incident response and AI-supported defense tools.
- Multi-provider strategy
Georgian organizations should use several models, several infrastructure paths and open standards so that one decision does not disrupt an entire system.
- AI education through the lens of sovereignty
Students and professionals should learn not only how to use AI, but also its geopolitics, economics, security, data law, and ethics.
What businesses should do
For Georgian businesses, the main task is to understand the architecture of AI use.
A company should know:
which AI tools are used;
which data enters the system;
which process is critical;
what happens if the service stops;
whether an alternative model exists;
how outputs are checked;
what legal and cybersecurity risks exist;
who owns AI-generated data or results.
This is especially important for banks, telecom companies, healthcare networks, universities, major retailers and state contractors.
BTUAI assessment
BTUAI assesses that the global trend of restricting access to frontier AI models is a strategic warning for Georgia. Powerful AI is no longer only software or a commercial service. It is becoming part of national security, economic competitiveness, cybersecurity and digital sovereignty.
Georgia’s main risk is blind dependence on external models. The main opportunity is early preparation: building Georgian-language data, protecting critical data, developing AI evaluation capacity, strengthening cybersecurity and creating a multi-provider strategy.
For a small country, the right path is not technological isolation. The right path is trusted partnership with global platforms, while protecting the country’s data, language, knowledge and critical processes.
The main conclusion is that, in the AI era, sovereignty does not mean owning everything. It means understanding what the country depends on, what it must protect and where it needs its own minimal but strong technological foundation.
Key findings
- Access to frontier AI models is becoming a geopolitical and national-security issue.
- AI access may be restricted not only for adversaries, but also for allies and partners if states view it as a strategic risk.
- Georgia’s main risk is full and excessive dependence on external AI models.
- Georgian-language digital resources are central to technological sovereignty.
- Public services, banks, universities and businesses must understand what happens if access to a specific AI service is restricted or becomes more expensive.
- In cybersecurity, AI is a dual-use instrument – it can strengthen defense and amplify threats.
- Georgia needs local capacity to evaluate AI models in Georgian language and Georgian context.
- For a small country, sovereignty means not isolation, but understanding critical dependencies and building a minimal sovereign technology layer.
Data and evidence base
Several trends have emerged in international AI policy:
frontier AI models are increasingly viewed as national-security resources;
states are considering controls on AI access through export control, cybersecurity and strategic-risk frameworks;
model capabilities in cybersecurity create both defensive and offensive potential;
even allied countries may face access restrictions;
technological sovereignty has become more important in Europe and other middle powers;
rapid AI development increases the importance of data, chips, cloud infrastructure and local competence.
For Georgia, additional local research is needed: which sectors rely most on external AI models, what data flows into foreign systems, how ready Georgian-language data infrastructure is and what alternatives exist for critical services.
Methodology
This report was prepared as part of BTUAI Research. The analysis is based on international analytical materials on AI policy, technological sovereignty, cybersecurity, access to frontier AI models, data governance and technological dependence in small countries.
The materials are processed using analytical methods applied by BTU researchers, with the support of BTUAI.
The purpose of the research is not to make a political assessment of any specific state or company, but to explain a strategic trend that may affect Georgia’s digital sovereignty, economy, education, business and public services.
Limitations
AI policy, export control and access rules for frontier models are rapidly changing. Decisions by individual countries may change depending on political, legal, security or commercial factors.
This material does not constitute legal, cybersecurity, public-policy or technology-procurement advice.
The implications described for Georgia are analytical scenarios and require additional research into local data, legal frameworks and sector needs.
Sources
International analytical materials on access to frontier AI models, export control, cybersecurity and technological sovereignty.
International discussions on the dual-use nature of AI, national security, historical parallels with cryptography and technological dependence of small countries.
BTUAI analytical interpretation based on Georgia’s digital sovereignty, Georgian language, cybersecurity, education, business and public-service context.
Frequently asked questions
What does it mean that powerful AI is becoming geopolitical?
It means access to frontier AI models may depend not only on price or technical ability, but also on national-security decisions, export controls, partnerships and political logic.
Why does this matter for Georgia?
Because Georgia depends on external technology platforms in many digital services. If critical AI services are restricted or become more expensive, this can affect business, public services, education and cybersecurity.
Should Georgia build its own large AI model?
Georgia does not necessarily need to build a global-scale model. A more realistic goal is developing Georgian-language data layers, AI evaluation systems, secure infrastructure and local competence.
What is the role of the Georgian language in AI sovereignty?
If Georgian is poorly represented in AI systems, Georgian users will receive lower-quality and less contextual services. Georgian-language digital resources are strategic national capital.
What is the main conclusion?
Georgia needs connection to global AI systems, but also its own minimal technological foundation – data, language, cybersecurity, evaluation capacity and an alternative strategy.
Keywords
AI access; frontier AI models; technological sovereignty; AI and national security; Georgian language digital sovereignty; AI and cybersecurity; data governance; AI policy; Georgia’s digital future; BTUAI; Business and Technology University.
Citation format
BTUAI Research Team. “When Access to Powerful AI Is No Longer Guaranteed: What Technological Dependence Means for Georgia.” Business and Technology University, BTUAI.ge, 2026.
Prepared by the academic team of Business and Technology University and the BTUAI Research Team.
Tbilisi, Georgia
BTUAI is an analytical platform of Business and Technology University that studies the impact of artificial intelligence, digital transformation, innovation, startup ecosystems, data analytics and emerging technologies on business, the economy, education and society. BTUAI materials are designed to explain complex technological and economic changes in a clear, reliable and Georgia-focused way.