Norway
Falling behindEuropeHigh income
Power #36 / 50Per-capita #17
Cognitive Power
26.8
of 100 · #36
CPI
26.8
CC
62.2
ADI
66.6
CDI
0.605
AIR
53.9
AIX
49.4
CRI
49.3
CM
43.9
CV
3.2%
Primary · absolute lens
Cognitive Power
26.8 · #36/50
Total national capacity — AI capital, compute, models & robotics. Strongest in economic mass, semiconductor capability, researchers (total).
Per-capita lens
Cognitive Coefficient
62.2 · #17/50
How deep infrastructure runs per person — rewards intensity, like GDP-per-capita or the HDI.
Agentic Deployment Index — the army of agents
Norway's agentic capacity
66.6
ADI · #14/50
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)73.0
Access — citizens67.0
Autonomy & reach (what agents can do)71.0
Business deployment53.0
Government deployment64.0
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 Norway's indices & economy
Norway — cognitive standing in full
Norway is the world's #32 economy by GDP ($531bn) and ranks #36/50 on absolute Cognitive Power and #17/50 on per-capita intensity. Its standout strength is Agentic Deployment Index (66.6, Strong); its trajectory is Falling behind — growing more slowly than the frontier. The binding concern is cognitive power index.
Economic & scale context
The economic base AI capacity is built on — and how its scale interacts with the cognitive indices.
GDP (total)
$531bn
#32 of 50
GDP / capita
$104,044
High income · PPP
Population
6M
AI investment
$1.0bn
#27 globally
R&D intensity
1.94%
of GDP
Index-by-index read
For each index: what it means when high (the value) versus low (the risk), and Norway's own standing.
| Index | Value | Standing | What a high vs low value means — and where Norway sits |
|---|---|---|---|
| CPI Cognitive Power Index | 26.8 | Developing · #36/50 | Low here — 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 | 62.2 | Moderate · #17/50 | 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 | 66.6 | Strong · #14/50 | High here — an automated-agent workforce multiplier is already in place across society. ▲ 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 | 0.605 | Moderate · #19/50 | 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 | 53.9 | Moderate · #23/50 | 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 | 49.4 | Moderate · #18/50 | 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 | 49.3 | Moderate · #20/50 | 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 | 43.9 | Moderate · #24/50 | Mid-pack. High would mean investment and pipeline favour sustained improvement — today's position is likely to compound; low would mean 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 | 3.2% | Moderate · #28/50 | Mid-pack. High would mean improving quickly relative to a moving frontier; low would mean 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 behindNorway'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): 43.9 #24/50
Velocity (CV): 3.2% #28/50
Closing the gap: -1.46 pts/yr vs the frontier
Projected CC by 2040: 81.1 (now 62.2, P50 · scenario not forecast)
Strengths to build on
- Agentic Deployment Index (66.6, Strong) — an automated-agent workforce multiplier is already in place across society.
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.
- Binding weakness — Cognitive Power Index 26.8 (#36/50, Developing): limited absolute weight: a price-taker that depends on capacity built elsewhere.
Recommended priorities
- Prioritise the weakest pillar (Compute) 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.