The development of artificial intelligence is often seen as a matter of software, models, data and chips. But the next major boundary of AI may be electricity. As large language models, generative AI, AI agents, video models, coding systems and enterprise AI platforms grow, so does the demand for data centers that require energy, water, land, cooling, network infrastructure and stable electricity supply.
A new principle is emerging globally: a data center is no longer only a building with servers. It is also an energy asset. AI infrastructure owners can no longer rely only on grid connection. They need long-term energy contracts, renewable power, backup capacity, water resources, local community acceptance and infrastructure policies coordinated with governments.
According to BTU experts, for Georgia this topic does not mean that the country must immediately become a global hub for hyperscale data centers. The more important question is how Georgia should prepare for an economy in which digital services, AI, data processing and energy security are no longer separate issues.
Georgia’s energy context makes the question practical. In 2025, domestic electricity consumption in Georgia increased to 14.3 TWh, while consumption by direct consumers grew particularly fast – by 9.2 percent. This means that new energy-intensive digital infrastructure would not be only a technology investment for Georgia. It would also be an energy, regional, environmental, tax and urban planning issue.
The main conclusion is clear: competitiveness in the AI economy will not be defined only by the number of programmers. A country that wants AI infrastructure must also think about energy, grids, water, land, regulation and public trust.
In the age of AI, electricity is becoming the invisible raw material of the digital economy. In the past, technology competition was often measured by innovation, software products, startups, data or human capital. Today, a new question has been added: does the country have enough stable, affordable and environmentally responsible energy for digital infrastructure?
Data centers operate continuously. They need not only large amounts of electricity, but also high reliability. AI model training, cloud services, cybersecurity systems, financial transactions, public digital services and business data cannot depend on an unstable grid.
This is why, in the age of data centers, electricity is no longer just a utility cost. It becomes a strategic asset.
For Georgia, this means that if the country is thinking about AI infrastructure, regional data hubs, cloud services, Georgian-language AI models or digital-economy growth, it also needs an energy strategy.
AI appears in chat, but the grid powers it
A Georgian user often sees AI as a chat interface: asking a question, receiving an answer, preparing a text, translating, writing code, creating a presentation or helping a business analyze customers. But behind this simple interface stands a large infrastructure: servers, chips, cooling systems, fiber-optic cables, networks and electricity.
For Georgian business, AI is often still viewed as a software tool: “use ChatGPT,” “introduce automation,” “save time,” “increase productivity.” But at the next stage, companies will see that serious AI use requires data storage, security, computing resources, servers, cloud contracts and reliable energy.
At the country level, the question is even broader: if AI infrastructure globally becomes energy-intensive, can Georgia find a place in this process without damaging energy security, household tariffs, the environment and regional balance?
Why data centers became an energy issue
A data center is a place where digital information is stored, processed and transmitted. But in the age of AI, its workload becomes much heavier. Training AI models, complex computation, video generation, real-time responses and enterprise AI systems require significant electricity.
Globally, the energy issue around data centers has intensified for several reasons.
First, AI models are becoming larger and more complex. Larger models require more computing power.
Second, AI use is becoming mass-scale. Heavy computing is no longer only in research labs. It is entering business, education, media production, programming, healthcare and public services.
Third, data centers need not only power, but cooling. Cooling can also affect water resources in some models.
Fourth, demand is often concentrated in specific regions. If data centers cluster in one place, the local grid can come under pressure.
Fifth, energy contracts are long-term. Data centers need confidence that stable supply will be available for years.
AI infrastructure development is therefore becoming a systemic issue for electricity markets.
Georgia’s energy reality in a few numbers
Any discussion of data centers in Georgia should start with the country’s existing energy picture.
In 2025, domestic electricity consumption in Georgia increased to 14.3 TWh, a 3.5 percent year-on-year increase.
In the same period, consumption by direct consumers increased by 9.2 percent. This is important because the growth of large consumers can have a more direct effect on the grid and market balance.
Georgia’s energy system is seasonal. Hydropower plays an important role in the country’s electricity system, but seasonality, climate conditions, winter demand and the need for imports remain constant energy-security issues.
Geostat’s energy balance provides a framework for understanding Georgia’s production, supply and consumption structure by sector. The possible development of data centers would add a new energy-intensive demand category to this balance.
These numbers do not mean that Georgia cannot host data centers. On the contrary, they show that such investments must be planned with energy, grid capacity, seasonality and social impact in mind.
What opportunity Georgia may have
- A regional data hub niche
Georgia is geographically located between Europe, Asia and the Middle East. If the country develops stable energy infrastructure, cybersecurity standards, data protection rules and international connectivity, it may find a niche in regional data services.
This does not mean competing directly with hyperscale data-center giants in the United States, Europe or Asia. A more realistic model is regional, specialized, trusted and sustainable infrastructure.
- Georgian AI and language infrastructure
Georgian-language AI models, Georgian knowledge banks, local data processing and secure digital services need infrastructure. If Georgia depends only on foreign cloud systems, the development of Georgian AI may become more vulnerable.
This is why the data center question is directly connected to digital sovereignty: where data is stored, who controls the infrastructure, which jurisdiction applies and how safe the digital future of Georgian language and Georgian data is.
- Regional development
Data centers should not be considered only for Tbilisi. Depending on energy resources, land, connectivity and climate conditions, some types of digital infrastructure may also develop in regions.
This can become a new direction for regional economies: technical maintenance, security, energy management, connectivity, data-center operations and vocational education.
- Acceleration of energy investment
If data center demand is planned properly, it can support investments in renewable energy, grid modernization, storage systems and energy efficiency.
But this is positive only if new demand does not pressure household tariffs or increase import dependence.
- High-quality technical jobs
Data centers need engineers, energy specialists, cybersecurity professionals, network administrators, technical operators, cooling-system specialists, data protection professionals and AI infrastructure managers.
This may become a new professional direction for Georgian education.
Main risks for Georgia
- Energy pressure at the expense of consumers
If energy-intensive data centers are added to the grid without preparation of new generation, grid reinforcement and a fair tariff model, the system may come under pressure. This is especially risky when households and small businesses are already sensitive to utility costs.
- Growth in import dependence
If data center demand grows but local generation and grid capacity are not ready, the country may need more electricity imports. This would connect the digital economy to energy vulnerability.
- Water and cooling
Data centers require cooling. In some models, cooling also involves water use. For Georgia, where water resources differ by region and climate change creates new risks, this issue must be assessed in advance.
- Land use and local communities
A data center can be a large land user. If local residents do not understand the benefits and costs of a project, opposition may emerge. Transparent communication is needed: jobs, taxes, energy sources, water use and environmental impact.
- Digital sovereignty and data protection
A data center is not only physical infrastructure. It is a space of data trust. If Georgia attracts data centers, the legal framework must be clear: whose data is stored, under what conditions, how it is protected, which jurisdiction applies and how incidents are handled.
What Georgian businesses should do
Georgian businesses should not see data centers as an issue only for large technology companies. AI adoption, cloud services, data protection and energy reliability are already relevant to every sector.
Companies should begin mapping their own digital infrastructure:
where data is stored;
which cloud services the business depends on;
what happens if a service goes down;
what energy and connectivity risks exist;
how cybersecurity is managed;
whether some critical data can be hosted locally or regionally;
what energy footprint AI use creates.
Large companies should recognize that AI transformation is not only a software change. It is an issue of data, energy, security and operational resilience.
What the state should do
For the state, the age of data centers requires integrated policy that connects energy, digital economy, environment, regional development and data protection.
Several steps are needed:
a national framework for data centers;
rules for licensing or assessing energy-intensive digital infrastructure;
long-term electricity availability analysis;
a map of grid capacity;
assessment of water resources and cooling;
requirements for renewable energy integration;
standards for communication with local communities;
clear rules on data protection and cybersecurity;
regional development packages;
education programs for data-center operations.
The country should decide in advance what kind of data centers it wants: simply large energy consumers, or energy-responsible, regionally beneficial and digitally trusted infrastructure.
Scenarios for Georgia
Scenario 1: Georgia remains only a user
In this scenario, Georgian companies and public services rely fully on foreign cloud infrastructure. This is simple and fast, but increases dependence on external platforms, jurisdictions and global prices.
Scenario 2: Georgia builds a small regional niche
In this scenario, the country develops several trusted, energy-planned and cybersecurity-oriented data centers that serve local and regional needs.
Scenario 3: Georgia tries to attract large data centers without an energy plan
This is the riskiest scenario. It could create energy pressure, public dissatisfaction, tariff concerns and environmental questions.
Scenario 4: Georgia links AI infrastructure with renewable energy
This is the most strategic scenario. Data-center development can be connected to hydropower, solar, wind, storage, grid modernization and regional development. But this requires advance planning, clear rules and a model of local benefit.
BTU experts’ assessment
According to BTU experts, the age of data centers should be viewed in Georgia not as a single-sector issue, but as an intersection of the digital economy, energy security and strategic infrastructure.
Georgia’s main risk is discussing AI infrastructure only in the language of investment – how much money will enter, how many buildings will be built, how many companies will be interested. But if energy, water, grid capacity, data protection, cybersecurity and public benefit are not assessed in advance, a data center may become a new burden rather than an opportunity.
The main opportunity is for Georgia to create a model of digital infrastructure that fits its own scale – trusted, energy-responsible and strategically useful. This model should not try only to compete with giant markets. It should respond to Georgia’s real needs: Georgian AI, secure data, regional services, energy-efficient infrastructure and new professional skills.
The main conclusion is clear: AI needs its own power. If Georgia wants to be not only a user but an active participant in the AI era, the country must plan not only models and software, but also energy, grids, water, data protection and human capital.
Key findings
- The development of AI infrastructure increases electricity demand and makes data centers part of energy policy.
- Data centers can be an opportunity for Georgia, but only with prior assessment of energy, environment and data protection.
- In 2025, Georgia’s domestic electricity consumption reached 14.3 TWh, making planning for new demand more important.
- The growth of electricity use by direct consumers shows that large users play a growing role in the energy system.
- Data centers should be treated not only as investments, but as issues of grids, water, land, cybersecurity and local communities.
- Georgia can more realistically pursue a regional, specialized and energy-efficient data center niche rather than hyperscale global competition.
- Data center policy is directly linked to Georgian AI, the digital future of the Georgian language and data sovereignty.
- Universities should prepare new professionals at the intersection of AI infrastructure, energy management and cybersecurity.
Data and evidence base
In 2025, domestic electricity consumption in Georgia increased to 14.3 TWh, a 3.5 percent year-on-year increase.
In 2025, electricity consumption by direct consumers increased by 9.2 percent.
Geostat’s energy balance reflects Georgia’s sectoral structure of energy production, supply and consumption and provides a baseline framework for assessing the possible impact of data centers.
International energy analysis shows that electricity demand from data centers is growing rapidly with AI. In a high-growth scenario, global electricity demand from data centers may exceed 1,700 TWh by 2035.
Global experience shows that data-center development is highly sensitive to electricity prices, grid capacity, water resources, land use, local communities and energy regulation.
Additional research is needed for Georgia: which regions are technically suitable for data centers; which energy sources could be linked to them; what load they would place on the grid; how water use should be measured; what tax and local benefits regions could receive; and which types of data centers fit Georgia’s actual scale and energy capacity.
Methodology
This report was prepared as part of BTUAI Research. The analysis is based on international trends in AI infrastructure, data centers, electricity demand, energy security, cloud services and data protection, as well as publicly available data on Georgia’s electricity consumption.
The materials are processed using analytical methods applied by BTU researchers, with the support of BTUAI.
The purpose of the research is not to evaluate any specific data center project, investor or energy asset, but to explain a trend that may affect Georgia’s digital economy, energy sector, regional development, data sovereignty and AI infrastructure.
Limitations
The energy consumption of data centers differs significantly depending on size, technology, cooling system, workload, location and energy source.
Public data on the potential data-center market, energy demand and local impact in Georgia remains limited. This text is therefore a strategic analytical assessment, not a technical-economic conclusion on a specific project.
This material does not constitute investment, energy, legal, environmental or technology-procurement advice. Before making specific decisions, consultation with a relevant specialist is required.
Sources
International energy analysis of the growth of electricity demand from AI and data centers.
National Statistics Office of Georgia energy balance and data on energy production, supply and consumption.
Public electricity-market analysis of Georgia’s 2025 consumption trends.
International research on the energy, water, environmental and community impact of data centers.
BTUAI analytical interpretation based on Georgia’s energy, AI infrastructure, data sovereignty, business and regional development context.
Frequently asked questions
Why does AI need so much electricity?
Training and using AI models requires large computing resources. These resources run on servers, chips, cooling systems and data centers that require stable electricity.
Does this mean Georgia should become a global data center hub?
Not necessarily. A more realistic path for Georgia may be a regional, specialized and energy-efficient data center niche serving local and regional needs.
What is the main risk?
The main risks are pressure on the grid, growth in import dependence, water use, uncertainty around data protection and insufficient local community engagement.
What is the main opportunity?
Georgia can develop trusted digital infrastructure for Georgian AI, data security, regional services and new technical jobs.
What should Georgia do now?
Georgia should assess energy resources, grid capacity, water issues, data protection rules and regional benefit models before large data center projects enter actively.
Keywords
AI infrastructure; data centers; electricity and AI; energy security; Georgia and data centers; Georgian AI; digital sovereignty; cloud infrastructure; green data centers; energy efficiency; BTUAI; Business and Technology University.
Citation format
BTUAI Research Team. “AI Needs Its Own Power: What Georgia Should Consider in the Age of Data Centers.” 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.