Readiness
41/100Capacity across five enabling pillarsMiddle East & Africa · #15 in region
Kenya
AI Readiness Score
- Live
- 0/23
- Years
- Not reported
- Fallback
- 100%
Current standing, trajectory, and source coverage.
Middle East & Africa · #15 in region
AI Readiness Score
Capacity to build AI compared with evidence of AI use today.
Readiness
41/100Capacity across five enabling pillarsAdoption
51/100Growing AdoptionTrajectory
+5/10PositiveBlue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 8/20 | 11/20 |
| Talent / Demand | 8/20 | 8/20 |
| Governance / Enterprise | 9/20 | 9/20 |
| Investment / Pipeline | 7/20 | 7/20 |
| Economy / Consumer | 9/20 | 16/20 |
Scores, supporting evidence, and the exact inputs behind each contribution.
M-Pesa mobile money infrastructure is a world-leading digital financial layer for AI-powered services
| 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 | 2.4 / 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 | 1.2 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 1.2 / 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 | 1.2 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 2.0 / 5 pts | Fallback |
iHub Nairobi is the continent's most recognised tech innovation hub since 2010
| 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 | 2.4 / 6 pts | Fallback |
| Labour productivityLabour productivity unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 2.4 / 6 pts | Fallback |
| ResearchersResearchers unavailable; used 2/20 of the static Talent baseline. | Not available | Not reported | OECD Data Explorer | 0.8 / 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 | 0.4 / 1 pts | Fallback |
| Talent quality baselineTalent quality baseline unavailable; used 5/20 of the static Talent baseline. | Not available | Not reported | AI Trajectory Index | 2.0 / 5 pts | Fallback |
Data Protection Act 2019 — one of Africa's most comprehensive data governance frameworks
| 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 | 2.3 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.8 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 1.4 / 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 | 1.4 / 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 | 0.9 / 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 | 0.9 / 2 pts | Fallback |
East Africa's leading startup investment destination — $900M+ raised annually across ecosystem
| 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 | 2.1 / 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 | 1.8 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 1.0 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 2.1 / 6 pts | Fallback |
M-Pesa's 96%+ adult financial inclusion rate creates unmatched AI-powered financial services base
| 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
49/100+8 points from todayTop accelerator
M-Pesa mobile-first infrastructure as the continent's most advanced AI deployment foundationTop risk
Brain drain and limited domestic capital constraining the ability to scale AI companies locallyFive-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
Kenya is in the Development Phase
Scaling infrastructure and talent pipelines. Projected score by 2028: 49/100.
2028 Timeline
Now
Score 41
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
Extend rural connectivity and reduce mobile data costs below $2/GB
Build national data centre capacity and connect to international internet exchanges
Create fast-track AI visa pathway; incentivise diaspora return
Fund 500 PhD fellowships in ML, data science, and AI safety per year
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.