Australian AI Infrastructure Readiness Framework
AEAI measures whether enterprises are adopting AI responsibly. AAIRF measures whether the grid, water, planning, and accountability systems underneath that adoption can actually support it — scored across Sovereignty, Grid Impact, Water, Carbon, Local Employment, Planning Risk, Workload Portability, and Public Accountability.
Strain Map
Click a state to exploreColoured by strain on Grid Impact. Hover a state, click for the full breakdown.
National Composite
Adapting41–60Pillar Breakdown
State & Territory Rankings
MethodologyAustralian Capital Territory
54.6
South Australia
52.6
Victoria
52.1
Queensland
51.2
New South Wales
50.9
Tasmania
50.2
Western Australia
49.3
Northern Territory
47.0
← Scroll to see all pillars
| State | Sov | Grid | Water | Carb | Jobs | Plan | Port | Acct |
|---|---|---|---|---|---|---|---|---|
| Australian Capital Territory | 66 | 48 | 52 | 51 | 53 | 56 | 51 | 61 |
| South Australia | 55 | 48 | 52 | 52 | 53 | 54 | 52 | 55 |
| Victoria | 58 | 48 | 49 | 50 | 52 | 48 | 53 | 59 |
| Queensland | 55 | 48 | 49 | 49 | 52 | 51 | 52 | 54 |
| New South Wales | 59 | 48 | 45 | 49 | 51 | 46 | 54 | 57 |
| Tasmania | 53 | 48 | 52 | 51 | 49 | 51 | 48 | 51 |
| Western Australia | 61 | 47 | 43 | 48 | 50 | 48 | 49 | 48 |
| Northern Territory | 50 | 48 | 43 | 47 | 47 | 48 | 49 | 45 |
Grid Impact, Water, and Planning Risk are inverse-scored: higher = lower strain.
Companion to the Australian Enterprise AI Index
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