Readiness
66/100Capacity across five enabling pillarsMiddle East & Africa · #3 in region
Saudi Arabia
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
70/100High AdoptionTrajectory
+6/10Strong PositiveReadiness vs Adoption: Radar
Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 15/20 | 16/20 |
| Talent / Demand | 11/20 | 12/20 |
| Governance / Enterprise | 14/20 | 14/20 |
| Investment / Pipeline | 15/20 | 13/20 |
| Economy / Consumer | 11/20 | 15/20 |
Pillar evidence
Scores, supporting evidence, and the exact inputs behind each contribution.
Infrastructure
Saudi Arabia is rapidly becoming the Gulf's hyperscale AI compute hub — NEOM and Riyadh data centre clusters scaling fast
- Stc and Mobily deploying 5G across Saudi cities; among the Gulf's most complete networks
- NVIDIA partnership and Project Transcendence AI infrastructure commitment demonstrates serious hardware investment
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 | 4.5 / 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 | 2.3 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 2.3 / 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 | 2.3 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 3.8 / 5 pts | Fallback |
Talent
KAUST (King Abdullah University of Science & Technology) is a world-class AI research institution
- Vision 2030 scholarships sending thousands of Saudis to top global universities for AI/tech degrees
- Near-total dependence on expatriate AI talent; Saudi national AI workforce still developing despite education investment
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 | 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 |
Governance
Saudi National AI Strategy 2030 is one of the world's most comprehensive with clear sector targets and budgets
- SDAIA (Saudi Data and Artificial Intelligence Authority) established as dedicated AI governance body — global first
- PDPL (Personal Data Protection Law) enacted 2021; balanced approach attracting international AI companies
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 | 3.5 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.8 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.1 / 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 | 2.1 / 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 | 1.4 / 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 | 0.7 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 1.4 / 2 pts | Fallback |
Investment
Saudi Aramco Tech, STC, and PIF (Public Investment Fund) collectively committing $100B+ to AI infrastructure
- Humain (PIF-owned AI company) partnering with NVIDIA, AWS, and Qualcomm for Saudi AI sovereignty
- Saudi Arabia attracted major AI company HQs and partnerships — Salesforce, Google, IBM establishing major presence
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 | 4.5 / 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 | 3.8 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 2.3 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 4.5 / 6 pts | Fallback |
Economic Readiness
Vision 2030 AI adoption programme spanning healthcare, education, government, and energy
- Oil company Saudi Aramco deploying AI for reservoir management and operations at scale
- Large domestic market (36M) with rapid digital consumer adoption rates
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 | 3.3 / 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 | 1.7 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 1.7 / 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 | 1.7 / 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 | 2.8 / 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
75/100+9 points from todayTop accelerator
PIF sovereign investment through Humain AI company and SDAIA governance creating world-class AI ecosystem from scratchTop risk
Near-total dependence on expatriate AI talent and oil price sensitivity constraining long-term AI diversification sustainabilityFive-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
◎Acceleration Phase
Saudi Arabia is in the Acceleration Phase
Deploying AI at scale across key sectors. On current trajectory, Saudi Arabia enters the Leadership phase by 2028 (projected score: 75/100).
2028 Timeline
▶
Now
Score 66
2
2025–26
AI deployed across 3+ key sectors
3
2026–27
Sovereign AI compute capacity online
4
2028
International AI partnerships active
Priority Actions — 3 Weakest Pillars
◈AI Talent
11/20Near
Create fast-track AI visa pathway; incentivise diaspora return
Mid
Fund 500 PhD fellowships in ML, data science, and AI safety per year
⬠Economic Readiness
11/20Near
Streamline business registration to under 3 days; digitise government services
Mid
Negotiate AI services trade agreements; join WTO plurilateral digital trade talks
⬟Governance & Policy
14/20Near
Lead multilateral AI safety standards at G20 / GPAI forums
Mid
Establish domestic AI audit and certification infrastructure for high-risk systems
Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.