Turkey
Falling behindEuropeUpper-middle income
Power #21 / 50Per-capita #34
Cognitive Power
36.6
of 100 · #21
CPI
36.6
CC
42.4
ADI
49.6
CDI
0.445
AIR
36.6
AIX
28.7
CRI
37.5
CM
31.9
CV
3.1%
Primary · absolute lens
Cognitive Power
36.6 · #21/50
Total national capacity, AI capital, compute, models & robotics. Strongest in researchers (total), agentic deployment (scale), economic mass.
Per-capita lens
Cognitive Coefficient
42.4 · #34/50
How deep infrastructure runs per person, rewards intensity, like GDP-per-capita or the HDI.
Agentic Deployment Index, the army of agents
Turkey's agentic capacity
49.6
ADI · #35/50
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)61.0
Access, citizens47.0
Autonomy & reach (what agents can do)53.0
Business deployment37.0
Government deployment44.0
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 Turkey's indices & economy
Turkey, cognitive standing in full
Turkey is the world's #16 economy by GDP ($1,597bn) and ranks #21/50 on absolute Cognitive Power and #34/50 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 augmentation index.
Economic & scale context
The economic base AI capacity is built on, and how its scale interacts with the cognitive indices.
GDP (total)
$1,597bn
#16 of 50
GDP / capita
$45,288
Upper-middle income · PPP
Population
86M
AI investment
$0.7bn
#31 globally
R&D intensity
1.40%
of GDP
Index-by-index read
For each index: what it means when high (the value) versus low (the risk), and Turkey's own standing.
| Index | Value | Standing | What a high vs low value means, and where Turkey sits |
|---|---|---|---|
| CPI Cognitive Power Index | 36.6 | Moderate · #21/50 | 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 | 42.4 | Developing · #34/50 | Low here, 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 | 49.6 | Developing · #35/50 | Low here, 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 | 0.445 | Developing · #33/50 | Low here, 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 | 36.6 | Developing · #35/50 | Low here, 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 | 28.7 | Developing · #39/50 | Low here, 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 | 37.5 | Moderate · #32/50 | Mid-pack. High would mean strategic autonomy: a broad home-grown base that is hard to cut off or coerce; low would mean 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 | 31.9 | Developing · #36/50 | 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 | 3.1% | Developing · #35/50 | 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 behindTurkey'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): 31.9 #36/50
Velocity (CV): 3.1% #35/50
Closing the gap: -2.16 pts/yr vs the frontier
Projected CC by 2040: 58.6 (now 42.4, P50 · scenario not forecast)
Strengths to build on
- No standout strengths across the headline indices yet.
Risk factors
- 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, an upper-middle-income economy (GDP/cap $45,288 PPP) whose AI utilization (AIX 28.7) lags its means.
- Binding weakness, Augmentation Index 28.7 (#39/50, Developing): access without adoption, the tools exist but are under-used, so the value is unrealised.
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.