CognitiveCoefficient
Overview / Rankings / Australia

Australia

MaintainingAsia-PacificHigh income Power #18 / 48Per-capita #19
Cognitive Power
37.8
of 100 · #18
CPI
37.8
CC
59.4
CDI
0.599
AIR
51.6
AIX
42.7
CRI
49.2
CM
49.7
CV
3.5%
Primary · absolute lens

Cognitive Power

37.8 · #18/48

Total national capacity — AI capital, compute, models & robotics. Strongest in economic mass, research output (total), researchers (total).

Per-capita lens

Cognitive Coefficient

59.4 · #19/48

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

Australia ranks #19 of 48 on the Cognitive Coefficient (59.4/100), with a trajectory classified as Maintaining relative to the frontier. Its strongest pillars are data, digital literacy; the binding constraints are ai adoption, compute.

Risks

  • Few acute risks at present; principal exposure is complacency as the frontier keeps moving.

Opportunities

  • Largest headroom in AI Adoption (34.7/100) — targeted investment compounds fastest here.
  • Largest headroom in Compute (39.8/100) — 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.
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 Adoption34.7
Compute39.8
Data83.2
Education72.1
Digital Literacy76.3
Innovation51.0
Knowledge Infrastructure47.0

Nearest peers