The National Artificial Intelligence Policy, 2025 (2082 BS) of Nepal outlines a detailed plan of utilizing AI as a means to radically change various sectors including education health finance, and governance. It also relies on changes digitization efforts in the country such as the Digital Nepal Framework (2076 BS), IT Policy (2072 BS), and Cyber Security Policy (2080 BS) to further strengthen the digital base. However, the country is still facing huge institutional and legal gaps in most of the AI-specific areas such as regulations, coordination, and implementation mechanisms.
Major Problems
The policy identifies major systemic issues such as insufficient data and the challenges in sharing it. Further, the lack of proper infrastructure like high-performance computing and data centers, as well as a shortage of skilled human resources. Besides these, it points out weak legal and regulatory frameworks especially in the areas of data privacy and cybersecurity. It further points out risks like job displacement, algorithmic bias misinformation deepfakes, and over-dependence on foreign technologies. The policy on one hand recognizes the limitations quite well, on the other hand, it still minimizes the problem of brain drain and low capacity of Nepal’s private sector to scale AI innovation.
Vision, Mission & Targets
The policy is pro- AI-driven Nepal that is human-centered and ethical and sets several ambitious targets to support it such as expanding the IT sector’s contribution to GDP. It has set a plan of reaching the top-50 of the AI Readiness Index, the production of 5,000 AI professionals in five years, by setting up AI centers in all provinces, as well as creating AI literacy throughout the country. While these goals are progressive and aimed at inclusion, they are also very much execution-dependent. This makes us wonder if Nepal’s existing education system and institutional readiness can realistically achieve these.
Strategic Pillars
The policy takes a comprehensive approach by using the ecosystem model to address governance and legal framework. It includes infrastructure development, human capital formation, economic and industrial growth, and sectoral applications in agriculture health education tourism energy, as well as transport. A close linkage to national development priorities is probably one of the most important strengths of this policy. On the other hand, some significant difficulties exist, especially capacity for implementation and coordination that works well among the federal, provincial, and local levels.
Institutional Mechanism
For the policy to come into effect, it proposes institutional arrangements such as the AI Regulation Council, National AI Center, and AI Excellence Centers. This setup looks quite inclusive and well-structured, but it also runs the risk of duplication and lack of efficiency that have always been the major weaknesses of the governance system in Nepal. If proper roles and accountability aren’t established, these entities are likely to have functional difficulties.
Ethical & Risk Governance
This policy strongly advocates for ethical AI by mostly aiming at user’s privacy, data protection, fairness, and the prevention of disinformation and deepfakes. It also follows international ethical standards such as those set by UNESCO. The policy has a very good normative ethical framework; however, the lack of clarity of enforcement mechanisms may result in these ethical values not being fully realized.
Financing Model
The sources of finance will be the government budgets, public-private partnerships, and international cooperation. It is quite a realistic and diversified approach; however, given Nepal’s limited fiscal space, there may be a delay in implementing the plan. Also, there is a very high chance that the country will have to rely on external funding, which may affect its ability to sustain things in the long run without external assistance.
International Cooperation
The strategy highlights the importance of working with universities, international bodies, and the Nepali diaspora through a “brain gain” approach. This is a major strategic advantage as it enables Nepal to tap the expertise available abroad and may even allow it to bypass some stages of technological development. A well-managed diaspora engagement can be an important factor to help overcome the internal capacity limitations.
Overall Policy Analysis
The policy has many commendable qualities such as a broad vision, harmonization with development objectives, stressing inclusiveness and ethics, and ensuring coordination among major sectors. On the other hand, it also has some critical weaknesses that are worth mentioning such as unknown ways of implementation, highly ambitious goals, poor infrastructure, and possibility of institutional overlapping. The biggest risks are the policy turning out to be mostly visionary, persistent brain drain, poor data governance, and excessive dependency on imported AI systems. Meanwhile, the advantages are remarkable like boosting the economic transition, public service enhancement, and focusing on specialized AI applications in fields like agriculture and disaster management.
Essentially, the policy chooses a “development-first AI model” over a solely tech-centric path. AI, if used properly, may serve as a great encourager of Nepal’s economic and social changes. But if the policy is not rolled out properly, it will be just another good-intended but poorly implemented policy with very limited impact.
