With the expansion of artificial intelligence (AI), the debate on data centers, cloud computing, high-performance computing, and energy infrastructure has intensified around the world. AI is no longer just transforming the technology sector—it is also transforming banking, health, education, agriculture, industry, public services, security, communications, and capital markets. Therefore, the question of AI is no longer just a question of a single software or application—it has become a question related to the country's productivity, competitiveness, data security, and economic future.

The increasing discussion about AI and data centers in Nepal is a positive sign. Nepal has clean hydropower, relatively favorable climate, water resources, geographical diversity, and immense potential for digital infrastructure expansion. At a time when many countries around the world are grappling with energy shortages, high temperatures, water scarcity, and land management challenges, these natural features of Nepal certainly provide a basis for opportunity.

However, being a basis for opportunity and being able to convert opportunity into economic benefits are not the same thing. Energy, water, land, and a cold climate can make a project possible, but they alone do not make a country a meaningful participant in the AI ​​economy. That requires a clear strategy, appropriate policies, reliable connectivity, data governance, technical talent, long-term capital, and implementation capacity.

Strategic Proposal
Countries around the world are making their mark on AI and digital infrastructure on different grounds. America’s strength is not just in energy or data centers—it’s in its technology research, world-class universities, large markets, capital, cloud platforms, and an ecosystem of innovation. The Nordic countries have combined clean energy and a cold climate with reliable infrastructure, stable policies, and investor confidence.

Gulf countries are investing heavily in AI infrastructure through sovereign wealth funds, rapid decision-making, and global partnerships. Singapore and Malaysia are leveraging connectivity, market access, institutional capacity, and their status as regional business hubs. India is building a large digital market, a vast user base, a tech workforce, and a rapidly growing entrepreneurial ecosystem.

This brings a clear lesson to Nepal – the country should not just count its natural resources, but also build a credible and competitive strategic proposition by combining them. What could Nepal’s proposition be? Clean energy, responsible digital infrastructure, data security, regional service capabilities, AI solutions that are tailored to Nepali and South Asian needs, and a gradually evolving computing ecosystem – all of these could be potential foundations for Nepal.

Why does Nepal need AI infrastructure?

Thinking about AI infrastructure only in terms of selling data centers to foreign companies is not enough. Nepal needs AI-ready digital infrastructure first and foremost for its own needs.

Today, banks, insurance companies, payment service providers, telecommunications companies, government agencies, hospitals, educational institutions, industries, and small and medium enterprises are increasingly dependent on data and digital services. In the future, these organizations will use AI-based risk analysis, customer service, fraud detection, disease diagnosis support, personalized education, agricultural consulting, language technology, transportation management, and decision support systems.

Nepal has clean hydropower, relatively favorable climate, water resources, geographical diversity, and vast potential for expanding digital infrastructure. To operate such systems, capabilities such as secure data storage, cloud services, backup and disaster recovery, high-performance computing, and graphics processing units as needed are required. If all these capabilities are not gradually developed within the country, Nepalese organizations will become increasingly dependent on external cloud and computing services.

There is nothing wrong with using international service providers. They are essential partners in the modern digital economy. However, relying entirely on external infrastructure for nationally important data, public services, financial systems, and sensitive business information may not be prudent in the long term. Domestic capacity development helps enhance data privacy, data sovereignty, service continuity, and cyber resilience.

Opportunity to connect with creation

Nepal's energy debate has long focused on the balance between production, transmission and consumption. This is natural. But now the question is not just how much electricity is generated, but also how much high value is created within the country. Exporting electricity is important. It provides an opportunity for markets, revenues and regional energy cooperation. However, if a portion of the available clean energy can be used in industries and services that create high value within the country, its economic impact can be even wider. Data centers, cloud services, digital finance, AI computing, software services, research and digital public services do not just use energy - they can create skilled jobs, knowledge, service exports, tax bases and new enterprises.

Nepal needs to strategically view the situation of exporting electricity at low prices on the one hand and sending large amounts of foreign exchange abroad for cloud storage, computing, software and digital services on the other. Domestic digital infrastructure does not completely eliminate this dependency, but it can redirect some of it towards creating value within the country.

US context, Nepal’s reality
Questions related to energy, water, noise, environment and the impact on local communities related to data center expansion are important. They should not be ignored. However, directly comparing the Nepal context to markets like the US that are expanding AI data centers at the thousands of megawatt level is not an accurate analysis.

Multi-gigawatt level data centers are in operation in the US. And, more capacity is being built. Such a level of expansion naturally puts pressure on energy systems, water, land, noise and local infrastructure. Therefore, it is appropriate that the debate on environmental and resource management there should intensify.

Nepal’s situation is different. The digital infrastructure market here is still in its infancy. Nepal’s primary need is not to build a giant hyperscale campus – it is to build a homegrown digital capability that is safe, energy-efficient, phased and aligned with real market demand.

This does not mean that environmental issues are irrelevant. Rather, Nepal needs to learn from global experiences from the start – making energy efficiency, responsible water use, noise control, site selection, community engagement, cybersecurity and emergency preparedness part of the design. But it is also unwise to stifle early potential by importing fears from a different context.

Lessons to be learned from hydropower

Nepal’s hydropower journey offers an important lesson. In the past, policy uncertainty, delays, lack of investment and excessive fear of risk have prevented sufficient momentum in power generation and transmission expansion. The country has paid the price in terms of load shedding, productivity loss and missed opportunities.

Later, as generation capacity and transmission infrastructure expanded, Nepal made progress towards meeting its own energy needs. It also opened the door to electric vehicles, electric cooking, industrial electrification, and new energy-based businesses.

This does not mean ignoring risks—it means building infrastructure in a timely manner through risk identification, proper regulation, and responsible investment. The same approach is needed for AI infrastructure. If we wait until the opportunity is ripe, the market, technology, talent, and capital may have already been captured by others.

A phased path for Nepal

Nepal does not need to announce a grand goal for AI infrastructure all at once. What is needed is a clear and phased path.

In the first phase, secure local data centers, cloud services, disaster recovery for government and financial institutions, cybersecurity, and data hosting capacity can be expanded. In the second phase, AI-ready racks, GPU-based computing, shared compute capacity for research and enterprise, and the development of AI applications focused on the Nepali language and local problems can be encouraged. In the third phase, as demand, connectivity, human resources and investment base strengthen, the potential for regional services and high-value digital exports can be explored.

For this, the government should view AI and data infrastructure not just as an information technology issue but as a national infrastructure linked to energy, industry, finance, education, security and digital governance. Clear data governance, transparent regulation, reliable connectivity, predictability of energy supply, investment-friendly environment, technical human resources development and public-private collaboration are necessary.

Nepal has the potential to participate in the AI ​​economy. Clean energy, natural environment and growing digital needs are important foundations for this. However, clear thinking, responsible policies, institutional capacity and phased implementation are necessary to turn these foundations into opportunities.

Nepal does not have to claim to become the world's largest AI data center destination tomorrow. However, Nepal should not remain a consumer of AI developed outside. We must start building the digital and AI infrastructure necessary for our own needs, data security, economic value creation, and long-term competitiveness.