While Nepal celebrates the progress it has made in exporting electricity to India, a quieter but a very consequential global race is underway: the race to export digital intelligence produced in AI factories. Artificial Intelligence (AI) is rapidly emerging as the defining technological platform of the 21st century. From education and healthcare to agriculture, finance, governance, and defence, AI systems will increasingly shape how nations operate, innovate, and compete. Yet behind every major 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 centers 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 centers that mainly store databases, applications, and enterprise software. Modern AI compute centers (AI Factories) are designed to produce intelligence at scale by transforming electricity, data, and GPUs into AI models, AI services, 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 center (AI Factory) 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 rely heavily on foreign infrastructure, models, and cloud providers. While this has accelerated access to AI technologies, it also creates important challenges around data access, security, privacy, reliability, and national control. As Nepal’s institutions increasingly adopt AI systems, building a sovereign AI stack, including domestic compute infrastructure, local AI models, secure data environments, and national guardrails, is no longer optional. It is the only way to maintain control over sensitive data, strengthen long term technological resilience, and adapt AI governance to Nepal’s own national priorities.

But sovereign AI is not only about security. It is also about economic opportunity. A national AI compute center 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 compute/data centers, and Nepal possesses abundant hydropower resources capable of producing low cost renewable electricity. While electricity prices in the United States typically range from 10 to 30 cents per kilowatt hour, and European rates run even higher at 15 to 40 cents per kilowatt hour, Nepal's hydropower can support compute infrastructure at just 5 to 8 cents per kilowatt hour, among the lowest rates globally. This provides highly competitive unit economics against compute center operators running in markets around the world where electricity costs are multiples higher, creating a powerful economic arbitrage opportunity for AI infrastructure built on Nepal's clean, abundant hydropower.

As AI compute becomes a globally traded digital commodity, countries with abundant low-cost energy are emerging as highly attractive destinations for next-generation AI infrastructure. Nepal is uniquely positioned to become a regional and global provider of affordable, clean AI compute powered by renewable hydropower. A 10-megawatt AI compute facility housing approximately 2,000 to 4,000 GPUs would require a total investment of roughly $110 million to $200 million, including construction, cooling systems, power infrastructure, and high-speed networking. Nepal’s low labor costs, high-altitude cooling advantages, and direct access to hydropower can significantly reduce the non-GPU portion of these costs compared to Western markets, where equivalent facilities would require substantially higher capital expenditure. Such a facility could generate between $35 million and $80 million annually in compute revenue. At 100 megawatts with 20,000 to 40,000 GPUs, annual compute revenue could reach several hundred million dollars depending on utilization rates, GPU pricing, and market demand. Such an AI factory would support government digitisation, universities, startups, and research institutions while also making compute capacity available to global markets, enabling Nepal to capture significantly more value from its hydropower than electricity export alone. Careful planning will also be necessary to minimise ecological impacts associated with expanding hydropower and large scale energy intensive infrastructure. By processing data locally, Nepal can export digital intelligence as a global commodity through the internet, bypassing the physical limitations of traditional electricity transmission grids.

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 centers 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 center 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 centers 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 compute. Without a sovereign AI compute infrastructure, Nepal will merely be consumers of AI. With it, Nepal becomes active creators and exporters of intelligence.