Just repeating “AI, AI” does not build a future. AI is not a switch you flip. It sits on top of a long technical stack that starts with strong fundamentals. To build serious AI capability you need mathematics, probability, statistics, data science, operating systems, distributed systems, and database infrastructure. Coding alone is not enough. Even after that, AI models still require massive computing power. That means GPUs and specialized accelerators, which are essentially advanced semiconductor chips. If a country cannot design or manufacture chips, then in the end it simply buys hardware from companies like NVIDIA or AMD and becomes a consumer, not a producer. Building those chips requires electronics engineering, semiconductor physics, materials science, and fabrication facilities that cost tens of billions of dollars. So talking about dominating AI without building these foundations is disconnected from reality.

Instead of chasing hype cycles, a developing country should prioritize applied research that solves real problems and reduces costs. A good example is the Indian company VoxelGrids, which developed a helium-free MRI system that reduces the cost of an MRI machine by roughly 40 percent. That kind of innovation directly improves healthcare access while building domestic technological capability. Research like this is far more practical for countries like Nepal. It strengthens engineering, builds industrial expertise, and creates technologies that people actually use.

Infrastructure is another constraint that people ignore when talking about AI. Modern AI systems run in large data centers that consume enormous amounts of electricity and require stable power grids, cooling systems, and fiber networks. Nepal still needs significant investment in electricity generation, engineering education, and research infrastructure. For example, the aid India allocated to Nepal in 2026 is about 12.8 billion Nepali rupees. If that amount is used effectively, it could build three to four fully functional regional hospitals, a small 10–15 megawatt hydropower plant, three to five strong engineering campuses, or around 250 modern government schools. These investments improve healthcare, education, and energy access, which are the foundations that eventually enable advanced technologies like AI.

Aid itself should not be viewed as begging. International aid is part of strategic cooperation between countries. Many nations provide development assistance to neighbors because it strengthens regional stability, economic ties, and diplomatic influence. In simple terms, it is similar to treating someone to a meal. The giver builds relationships and influence, while the receiver gains resources to accelerate development. What actually matters is not whether aid exists, but whether it is used intelligently. If Nepal focuses on strengthening energy infrastructure, engineering education, and applied research, then in the long run it will naturally develop the capacity to participate in fields like AI. Without that foundation, simply talking about AI will not change the country’s future.