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Good practice Imported

Nepal's National AI Policy Targets 5,000 Specialists and School-to-University AI Curricula — Against a 58% School-Infrastructure Gap

Nepal · Kathmandu · See the Nepal profile · See the Kathmandu profile

Evidence: Descriptive / self-reported Top 95% 20/100 · Ask Evidence Copilot about this practice

Nepal's Cabinet approved a National AI Policy on 14 August 2025 that plans AI subjects from school to university and a target of 5,000 trained AI specialists, even as independent analysis notes only 58% of government schools have basic ICT infrastructure.

58.1%
Government schools with ICT infrastructure
43.1%
Government schools with broadband
25.1%
Government schools with an IT lab
5,000
AI specialists target
Nepal's National AI Policy Targets 5,000 Specialists and School-to-University AI Curricula — Against a 58% School-Infrastructure Gap

Details

Promoter
Government of Nepal — Ministry of Communication and Information Technology
Period
Cabinet-approved 14 Aug 2025 (National AI Policy 2082)
Keywords
government policy, national AI strategy, curriculum reform, digital divide

Context

Nepal's Cabinet approved the National AI Policy 2082 on 14 August 2025, planning AI curricula from school to university and a target of 5,000 trained AI specialists.

Results

Independent analysis found only 58.1% of government schools have any ICT infrastructure, 43.1% have broadband, and 25.1% have an IT lab — a direct gap against the policy's classroom ambitions; no school has yet delivered the promised curriculum.

Implementation

Indicative cost
High (€500k–€5M)
Time to results
Long (> 3 years)
Staffing & skills
Ministry of Communication and Information Technology (Nepal)

Conditions for success

  • sequencing curriculum rollout to actual school ICT infrastructure levels
  • dedicated teacher-training budget and timeline

Common failure modes

  • independent analysis calls the education provisions 'overly ambitious' relative to current infrastructure and teacher workload

Commonly funded by

National / regional programmes

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Data sources

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