While most of Nepal is reeling in the progress that the country has achieved in exporting its electricity to India, a silent global race is happening over the export of digital intelligence. Artificial Intelligence (AI) is rapidly becoming the most important technological platform of the 21st century. From education and healthcare to agriculture, finance, governance, and defence, AI systems will increasingly influence how nations operate and compete. Yet behind every AI breakthrough lies one critical resource: compute infrastructure. 

Compute—the large-scale processing power required to train and run AI models—is becoming as strategically important as electricity, highways, or internet infrastructure. Nations around the world are investing billions of dollars into advanced AI compute centres because they understand a simple reality: Whoever controls compute will help shape the future digital economy. These next-generation facilities, sometimes referred to as ‘AI Factories’, are fundamentally different from traditional data centres that mainly store websites, databases, applications, and enterprise software. Modern AI compute centres are designed to produce intelligence at scale by transforming electricity, data, and GPUs into AI models, AI services, automation systems, and digital intelligence. In many ways, they are becoming the industrial engines of the emerging AI economy. 

Nepal must recognise this moment and act decisively. The country needs to build a national AI compute and data centre as foundational infrastructure for the next phase of economic growth. Such infrastructure would not only support domestic AI research and entrepreneurship but also establish Nepal’s technological sovereignty in an increasingly AI-driven world. 

Today, most AI systems used in Nepal depend entirely on foreign infrastructure, foreign models, and foreign cloud providers. This dependency creates risks around data access, security, privacy, reliability and national control. As our institutions increasingly adopt AI systems, building a sovereign AI stack—domestic compute infrastructure, local AI models, secure data environments, and national guardrails—is no longer optional. It is the only way to control sensitive data and reduce strategic dependency on foreign technology monopolies. 

But sovereign AI is not only about security. It is also about economic opportunity. A national AI compute centre would create the foundational platform upon which Nepali entrepreneurs, startups, researchers, and institutions could innovate. Today, one of the biggest barriers facing AI startups globally is the high cost of compute resources. Access to GPUs and AI cloud infrastructure remains expensive and concentrated in a handful of countries and corporations. A domestic compute infrastructure could dramatically lower barriers for Nepali innovators, enabling students, startups, universities, and companies to build AI products locally rather than depending entirely on foreign cloud providers. 

This is where Nepal holds a unique strategic advantage. 

Electricity is the single largest operating cost for AI data centres, and Nepal possesses abundant hydropower resources capable of producing low-cost renewable electricity. While electricity prices in countries like the United States often range from 9 to 15 cents per kilowatt hour, Nepal’s hydropower can potentially support compute infrastructure at costs between 3 and 6 cents per kilowatt hour. This creates a powerful economic arbitrage opportunity. 

AI compute is becoming a globally traded digital commodity. Countries with abundant low-cost energy are increasingly becoming attractive locations for next-generation AI infrastructure. Nepal can position itself as a regional and global provider of affordable, clean AI compute powered by renewable hydropower. Even a modest 10 megawatt AI compute centre could generate approximately $100 million annually in compute value through a combination of domestic usage, export of cloud compute services, AI hosting, model inference services, and enterprise AI infrastructure. Such infrastructure would support government digitisation, universities, startups, and research institutions while also selling computing capacity globally. 

A routine counterargument for building sovereign AI infrastructure is that it requires significant upfront investment. A 10 megawatt AI compute centre equipped with roughly 3000 GPUs may cost close to $100 million to build, compared to perhaps $15 million for a traditional hydropower project of similar scale. However, the economics are fundamentally different. While selling electricity alone may generate only around $5 million annually, the same energy converted into AI compute infrastructure could potentially generate over $100 million annually in compute value and digital services revenue. In many ways, this is not simply exporting electricity. It is exporting energy to the world wrapped inside high-value compute. 

On a larger scale, the opportunity becomes transformative. A 100-megawatt AI compute infrastructure ecosystem could potentially generate over $1 billion annually for Nepal’s economy. This is no longer theoretical. Around the world, countries are racing to attract hyperscale AI infrastructure because they understand that computing will become one of the defining economic engines of the future. 

For Nepal, this represents more than a technology project. It represents a national development strategy. 

Just as previous generations invested in roads, airports, electricity grids and telecommunications networks, this generation must invest in AI infrastructure. Governments do not build roads because roads themselves generate immediate profit. They build roads because roads enable economic ecosystems to emerge. AI compute infrastructure must now be viewed through the same lens, and with greater urgency. 

 Importantly, while private industry will increasingly invest in building AI compute centres and AI factories, Nepal still needs an initial large-scale government-backed investment to establish a foundational national compute capability. The scale, long-term horizon, and infrastructure risk of building the country’s first major AI factory may be difficult for the private sector alone to undertake in the early stages. A government-initiated national AI compute centre would catalyse the entire ecosystem by creating foundational infrastructure, attracting talent, enabling startups and research institutions, and establishing Nepal as a serious destination for AI infrastructure. Once such a foundation is established, it can trigger a multiplier effect that attracts significantly more private capital, global partnerships, and further investments into additional compute centres and AI Factories across the country. 

This goes unfathomably beyond an IT project and equips Nepal with the economic infrastructure for the AI century. The countries that move early will gain disproportionate advantages in innovation, talent attraction, entrepreneurship, and digital competitiveness. Nepal has a rare opportunity to combine its hydropower advantage with the global rise of AI to create an entirely new economic sector. The future looks clear: AI infrastructure will be essential for all. The question is whether Nepal will start building its own AI future. The future digital and AI economy will run on computers. Without a sovereign compute infrastructure, Nepal will merely consume AI, remaining a digital colony. With it, we become active creators and exporters of intelligence.