Readiness
50/100Capacity across five enabling pillarsEurope · #25 in region
Lithuania
AI Readiness Score
- Live
- 0/23
- Years
- Not reported
- Fallback
- 100%
Current standing, trajectory, and source coverage.
Europe · #25 in region
AI Readiness Score
Capacity to build AI compared with evidence of AI use today.
Readiness
50/100Capacity across five enabling pillarsAdoption
47/100Early AdoptionTrajectory
+3/10PositiveBlue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 11/20 | 9/20 |
| Talent / Demand | 11/20 | 9/20 |
| Governance / Enterprise | 10/20 | 10/20 |
| Investment / Pipeline | 9/20 | 9/20 |
| Economy / Consumer | 9/20 | 10/20 |
Scores, supporting evidence, and the exact inputs behind each contribution.
Lithuania has strong fibre broadband in urban areas and is expanding 5G deployment rapidly.
| 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 | 3.3 / 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 | 1.7 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.7 / 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 | 1.7 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 2.8 / 5 pts | Fallback |
Vilnius University and Kaunas University of Technology produce solid computer science and mathematics graduates.
| 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 | 3.3 / 6 pts | Fallback |
| Labour productivityLabour productivity unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 3.3 / 6 pts | Fallback |
| ResearchersResearchers unavailable; used 2/20 of the static Talent baseline. | Not available | Not reported | OECD Data Explorer | 1.1 / 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 | 0.6 / 1 pts | Fallback |
| Talent quality baselineTalent quality baseline unavailable; used 5/20 of the static Talent baseline. | Not available | Not reported | AI Trajectory Index | 2.8 / 5 pts | Fallback |
Lithuania has a stable democratic system with strong anti-corruption performance relative to regional peers.
| 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 | 2.5 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.0 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.5 / 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 | 1.5 / 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 | 1.0 / 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 | 0.5 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 1.0 / 2 pts | Fallback |
Vilnius's fintech cluster has attracted significant international investment from payments companies, banks, and insurtech firms.
| 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 | 2.7 / 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 | 2.3 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 1.4 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 2.7 / 6 pts | Fallback |
Lithuania's fintech-led digital economy is one of the fastest-growing in the Baltics.
| 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 | 2.7 / 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 | 1.4 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.4 / 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 | 1.4 / 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 | 2.3 / 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 |
Forward direction, constraints, and a structured country brief.
Projected 2028
55/100+5 points from todayTop accelerator
Vilnius fintech cluster anchored by Revolut's HQ creating AI-intensive financial services talent and investment densityTop risk
Population decline through emigration and dependency on geopolitically sensitive eastern border positioningFive-section brief
Generate a concise review of standing, infrastructure and talent, governance, investment, and economic outlook.
Recent signals, comparable economies, and optional analysis controls.
The Guardian · Google News · Updated hourly
Nearest neighbours across the five readiness pillars.
Algorithmic roadmap based on pillar scores · Updated with live data
Lithuania is in the Development Phase
Scaling infrastructure and talent pipelines. Projected score by 2028: 55/100.
2028 Timeline
Now
Score 50
2025–26
Talent pipeline scaling to 1,000+ AI graduates/yr
2026–27
AI regulation framework published
2028
Domestic AI investment exceeds 0.5% GDP
Priority Actions — 3 Weakest Pillars
Introduce R&D tax credits (≥25%) for AI-related expenditure
Create sovereign AI venture fund targeting deep-tech Series A/B rounds
Streamline business registration to under 3 days; digitise government services
Negotiate AI services trade agreements; join WTO plurilateral digital trade talks
Publish risk-tiered AI regulation framework aligned with EU AI Act principles
Create cross-ministry AI coordination body with dedicated budget line
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.