Readiness
24/100Capacity across five enabling pillarsAsia-Pacific · #25 in region
Nepal
AI Readiness Score
Limited coverageiCoverage describes source availability, not statistical certainty.
- Live
- 0/23
- Years
- Not reported
- Fallback
- 100%
SATURDAY, OCT 31, 20262026 EDITION · 17 INDICATORS
VOL. III · 2026 EDITION
The AI Trajectory IndexMenu
Executive summary
Current standing, trajectory, and source coverage.
Readiness and Adoption
Capacity to build AI compared with evidence of AI use today.
Adoption
25/100Nascent AdoptionTrajectory
+2/10PositiveReadiness vs Adoption: Radar
Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 6/20 | 4/20 |
| Talent / Demand | 6/20 | 4/20 |
| Governance / Enterprise | 5/20 | 5/20 |
| Investment / Pipeline | 4/20 | 5/20 |
| Economy / Consumer | 3/20 | 7/20 |
Pillar evidence
Scores, supporting evidence, and the exact inputs behind each contribution.
Infrastructure
Nepal Telecom and Ncell deploying 4G/LTE; 5G in early planning
- Challenging Himalayan terrain creating significant rural connectivity challenges
- Growing Kathmandu Valley data centre market; FBCDN and NTC fibre improving backbone
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Fixed broadband subscriptionsFixed broadband subscriptions unavailable; used 6/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 6 pts | Fallback |
| Individuals using the internetIndividuals using the internet unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 0.9 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 0.9 / 3 pts | Fallback |
| Access to electricityAccess to electricity unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 0.9 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 1.5 / 5 pts | Fallback |
Talent
IOE (Institute of Engineering) Pulchowk producing strong engineering graduates
- Growing Kathmandu IT community; Leapfrog Technology and Yomari demonstrating product capability
- Brain drain to the US, Australia, and Gulf states very high — $500M+ annual IT services export despite drain
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Gross tertiary enrolmentGross tertiary enrolment unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 6 pts | Fallback |
| Labour productivityLabour productivity unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 1.8 / 6 pts | Fallback |
| ResearchersResearchers unavailable; used 2/20 of the static Talent baseline. | Not available | Not reported | OECD Data Explorer | 0.6 / 2 pts | Fallback |
| Global Innovation IndexGlobal Innovation Index unavailable; used 1/20 of the static Talent baseline. | Not available | Not reported | World Intellectual Property Organization | 0.3 / 1 pts | Fallback |
| Talent quality baselineTalent quality baseline unavailable; used 5/20 of the static Talent baseline. | Not available | Not reported | AI Trajectory Index | 1.5 / 5 pts | Fallback |
Governance
Electronic Transactions Act and forthcoming Personal Data Protection Bill
- National IT Policy with AI components; NITC coordinating digital transformation
- Political instability (multiple governments per year historically) creates policy discontinuity
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Rule of LawRule of Law unavailable; used 5/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.3 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.0 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 0.8 / 3 pts | Fallback |
| National AI strategyNational AI strategy unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 0.8 / 3 pts | Fallback |
| AI strategy recencyAI strategy recency unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 0.5 / 2 pts | Fallback |
| AI regulation in forceAI regulation in force unavailable; used 1/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 0.3 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 0.5 / 2 pts | Fallback |
Investment
Remittance economy ($8B/year) driving mobile money AI demand
- F1Soft and Leapfrog Technology representing domestic AI product companies
- Very limited domestic VC; mostly diaspora angels and regional funds
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| R&D expenditureR&D expenditure unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | OECD Data Explorer, then World Bank Open Data | 1.2 / 6 pts | Fallback |
| FDI net inflowsFDI net inflows unavailable; used 5/20 of the static Investment baseline. | Not available | Not reported | World Bank Open Data | 1.0 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 0.6 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 1.2 / 6 pts | Fallback |
Economic Readiness
30M population; remittance and tourism economy with high digital aspirations
- eSewa and IME Pay mobile wallets showing AI-powered fintech adoption at scale
- Geographic landlocked position and poverty constraining formal AI market formation
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| GDP per capita, PPPGDP per capita, PPP unavailable; used 6/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 0.9 / 6 pts | Fallback |
| Private-sector creditPrivate-sector credit unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 0.4 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 0.4 / 3 pts | Fallback |
| Services value addedServices value added unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 0.4 / 3 pts | Fallback |
| Market capacity baselineMarket capacity baseline unavailable; used 5/20 of the static Economic Readiness baseline. | Not available | Not reported | AI Trajectory Index | 0.8 / 5 pts | Fallback |
| Government debt modifierGovernment debt modifier unavailable; no score adjustment was applied. | Not available | Not reported | IMF DataMapper | 0.0 / 0 pts | Fallback |
Outlook and policy gaps
Forward direction, constraints, and a structured country brief.
Projected 2028
27/100+3 points from todayTop accelerator
Remittance-driven mobile money AI and growing IT services export despite challenging geographyTop risk
Extreme brain drain depleting IT talent faster than universities can produce graduatesFive-section brief
Country research brief
Generate a concise review of standing, infrastructure and talent, governance, investment, and economic outlook.
News and supporting tools
Recent signals, comparable economies, and optional analysis controls.
Live AI News Feed
The Guardian · Google News · Updated hourly
Comparable countries
Nearest neighbours across the five readiness pillars.
Analysis toolsWhat-if model, roadmap, AI Q&A, embed, and print controls
AI Development Roadmap
Algorithmic roadmap based on pillar scores · Updated with live data
◈Foundation Phase
Nepal is in the Foundation Phase
Building core digital and institutional capabilities. Projected score by 2028: 27/100.
2028 Timeline
▶
Now
Score 24
2
2025–26
National AI strategy adopted
3
2026–27
Digital connectivity baseline met
4
2028
First national AI lab established
Priority Actions — 3 Weakest Pillars
⬠Economic Readiness
3/20Near
Expand financial inclusion; target 80% banked population by 2026
Mid
Develop AI-driven export diversification strategy beyond primary commodities
◇Investment & R&D
4/20Near
Launch government-backed AI seed fund (≥$50M) for domestic startups
Mid
Negotiate bilateral R&D agreements with OECD partners; join CERN or equivalent
⬟Governance & Policy
5/20Near
Adopt a national AI strategy with measurable 3-year milestones
Mid
Establish independent AI regulator with statutory powers and public accountability
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.