CognitiveCoefficient
Overview / Rankings / Germany

Germany

MaintainingEuropeHigh income Power #4 / 48Per-capita #4
Cognitive Power
63.7
of 100 · #4
CPI
63.7
CC
68.5
CDI
0.689
AIR
74.9
AIX
42.1
CRI
61.3
CM
57.4
CV
3.6%
Primary · absolute lens

Cognitive Power

63.7 · #4/48

Total national capacity — AI capital, compute, models & robotics. Strongest in researchers (total), robotics & automation, supercomputing.

Per-capita lens

Cognitive Coefficient

68.5 · #4/48

How deep infrastructure runs per person — rewards intensity, like GDP-per-capita or the HDI.

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

Insight engine

Germany ranks #4 of 48 on the Cognitive Coefficient (68.5/100), with a trajectory classified as Maintaining relative to the frontier. Its strongest pillars are data, education; the binding constraints are ai adoption, knowledge infrastructure.

Risks

  • Readiness outpaces utilization: infrastructure exists but augmentation is under-adopted.

Opportunities

  • Largest headroom in AI Adoption (42.4/100) — targeted investment compounds fastest here.
  • Largest headroom in Knowledge Infrastructure (59.8/100) — targeted investment compounds fastest here.

Recommended actions

  • 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.
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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.

Pillars

AI Access70.9
AI Adoption42.4
Compute67.9
Data86.4
Education80.2
Digital Literacy72.2
Innovation68.2
Knowledge Infrastructure59.8

Nearest peers

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