Japan
MaintainingAsia-PacificHigh income
Power #3 / 48Per-capita #16
Cognitive Power
64.9
of 100 · #3
CPI
64.9
CC
62.1
CDI
0.676
AIR
66.9
AIX
28.2
CRI
55.0
CM
46.6
CV
3.3%
Primary · absolute lens
Cognitive Power
64.9 · #3/48
Total national capacity — AI capital, compute, models & robotics. Strongest in patents (total), researchers (total), robotics & automation.
Per-capita lens
Cognitive Coefficient
62.1 · #16/48
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
Japan ranks #16 of 48 on the Cognitive Coefficient (62.1/100), with a trajectory classified as Maintaining relative to the frontier. Its strongest pillars are ai access, data; 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 (31.8/100) — targeted investment compounds fastest here.
- Largest headroom in Knowledge Infrastructure (53.9/100) — 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.