Saudi Arabia
Falling behindMiddle East & N. AfricaHigh income
Power #19 / 50Per-capita #30
Cognitive Power
38.2
of 100 · #19
CPI
38.2
CC
48.0
ADI
60.6
CDI
0.454
AIR
41.3
AIX
34.0
CRI
37.1
CM
33.1
CV
3.0%
Primary · absolute lens
Cognitive Power
38.2 · #19/50
Total national capacity, AI capital, compute, models & robotics. Strongest in ai capital, economic mass, agentic deployment (scale).
Per-capita lens
Cognitive Coefficient
48.0 · #30/50
How deep infrastructure runs per person, rewards intensity, like GDP-per-capita or the HDI.
Agentic Deployment Index, the army of agents
Saudi Arabia's agentic capacity
60.6
ADI · #25/50
How many capable, autonomous agents this society can field, how intelligent they are, and what they are permitted to do, across citizens, business and government. An automated army of agentic problem-solvers may be the single clearest near-term lever of cognitive advantage.
Agent capability (intelligence)66.0
Access, citizens56.0
Autonomy & reach (what agents can do)62.0
Business deployment50.0
Government deployment70.0
CC projection to 2040, Baseline
All 8 scenarios →Monte-Carlo band (P10-P90) around the median path. Dashed = illustrative historical reconstruction.
Median (P50)P10-P90 bandReconstruction
Pillar profile
Country report · generated from Saudi Arabia's indices & economy
Saudi Arabia, cognitive standing in full
Saudi Arabia is the world's #19 economy by GDP ($1,277bn) and ranks #19/50 on absolute Cognitive Power and #30/50 on per-capita intensity. No index ranks as a clear strength across the headline indices; its trajectory is Falling behind, growing more slowly than the frontier. The binding concern is cognitive velocity.
Economic & scale context
The economic base AI capacity is built on, and how its scale interacts with the cognitive indices.
GDP (total)
$1,277bn
#19 of 50
GDP / capita
$73,784
High income · PPP
Population
37M
AI investment
$1.5bn
#22 globally
R&D intensity
0.46%
of GDP
Index-by-index read
For each index: what it means when high (the value) versus low (the risk), and Saudi Arabia's own standing.
| Index | Value | Standing | What a high vs low value means, and where Saudi Arabia sits |
|---|---|---|---|
| CPI Cognitive Power Index | 38.2 | Moderate · #19/50 | Mid-pack. High would mean great-power scale: the country can shape the frontier, attract capital and talent, and set standards others follow; low would mean limited absolute weight: a price-taker that depends on capacity built elsewhere. ▲ high: great-power scale: the country can shape the frontier, attract capital and talent, and set standards others follow · ▼ low: limited absolute weight: a price-taker that depends on capacity built elsewhere |
| CC Cognitive Coefficient | 48.0 | Moderate · #30/50 | Mid-pack. High would mean deep capability per person: broad productivity gains and a well-equipped workforce; low would mean thin per-person depth: gains stay concentrated and most of the workforce is under-equipped. ▲ high: deep capability per person: broad productivity gains and a well-equipped workforce · ▼ low: thin per-person depth: gains stay concentrated and most of the workforce is under-equipped |
| ADI Agentic Deployment Index | 60.6 | Moderate · #25/50 | Mid-pack. High would mean an automated-agent workforce multiplier is already in place across society; low would mean agents are under-deployed, the clearest near-term productivity lever is being left on the table. ▲ high: an automated-agent workforce multiplier is already in place across society · ▼ low: agents are under-deployed, the clearest near-term productivity lever is being left on the table |
| CDI Cognitive Development Index | 0.454 | Moderate · #32/50 | Mid-pack. High would mean broad, balanced development with no single dimension dragging it down; low would mean imbalance or underdevelopment, at least one dimension is a binding weakness. ▲ high: broad, balanced development with no single dimension dragging it down · ▼ low: imbalance or underdevelopment, at least one dimension is a binding weakness |
| AIR AI Readiness | 41.3 | Moderate · #31/50 | Mid-pack. High would mean institutions and infrastructure are ready to convert capability into real deployment; low would mean governance, data or infrastructure gaps will slow how fast AI can actually be used. ▲ high: institutions and infrastructure are ready to convert capability into real deployment · ▼ low: governance, data or infrastructure gaps will slow how fast AI can actually be used |
| AIX Augmentation Index | 34.0 | Moderate · #31/50 | Mid-pack. High would mean AI is actively in use across the workforce, so capability is being turned into value; low would mean access without adoption, the tools exist but are under-used, so the value is unrealised. ▲ high: AI is actively in use across the workforce, so capability is being turned into value · ▼ low: access without adoption, the tools exist but are under-used, so the value is unrealised |
| CRI Cognitive Resilience Index | 37.1 | Developing · #33/50 | Low here, dependency risk: heavy reliance on frontier infrastructure others control, a strategic vulnerability. ▲ high: strategic autonomy: a broad home-grown base that is hard to cut off or coerce · ▼ low: dependency risk: heavy reliance on frontier infrastructure others control, a strategic vulnerability |
| CM Cognitive Momentum | 33.1 | Developing · #33/50 | Low here, a weak pipeline, the current position may stall or erode without new investment. ▲ high: investment and pipeline favour sustained improvement, today's position is likely to compound · ▼ low: a weak pipeline, the current position may stall or erode without new investment |
| CV Cognitive Velocity | 3.0% | Developing · #37/50 | Low here, slow improvement, at risk of drifting backwards in relative terms as the frontier advances. ▲ high: improving quickly relative to a moving frontier · ▼ low: slow improvement, at risk of drifting backwards in relative terms as the frontier advances |
Trajectory & growth potential
Trajectory & growth potential
Falling behindSaudi Arabia's trajectory is Falling behind, growing more slowly than the frontier. Risk: the relative gap is widening, a compounding disadvantage that can pull capital and talent toward leaders and deepen dependency. The clearest call to act.
Momentum (CM): 33.1 #33/50
Velocity (CV): 3.0% #37/50
Closing the gap: -2.01 pts/yr vs the frontier
Projected CC by 2040: 64.7 (now 48.0, P50 · scenario not forecast)
Strengths to build on
- No standout strengths across the headline indices yet.
Risk factors
- Dependency / low resilience, CRI 37.1 (#33/50): dependency risk: heavy reliance on frontier infrastructure others control, a strategic vulnerability.
- Relative trajectory, Falling behind: Risk: the relative gap is widening, a compounding disadvantage that can pull capital and talent toward leaders and deepen dependency. The clearest call to act.
- Affluent but under-utilizing, a high-income economy (GDP/cap $73,784 PPP) whose AI utilization (AIX 34.0) lags its means.
- Binding weakness, Cognitive Velocity 3.0% (#37/50, Developing): slow improvement, at risk of drifting backwards in relative terms as the frontier advances.
Recommended priorities
- Prioritise the weakest pillar (AI Adoption) to lift the geometric-mean development index (CDI).
- Convert access into utilization: workforce AI-skilling and agentic-workflow adoption.
- Broaden the base (education + data governance) to raise resilience and reduce concentration risk.
▲
These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure, not intelligence. No causality or certainty is claimed.