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
56.7
South Australia
54.8
Victoria
53.2
Queensland
51.4
New South Wales
51.0
Tasmania
50.7
Western Australia
47.7
Northern Territory
44.3
← Scroll to see all pillars
| State | Sov | Grid | Water | Carb | Jobs | Plan | Port | Acct |
|---|---|---|---|---|---|---|---|---|
| Australian Capital Territory | 69 | 48 | 53 | 59 | 54 | 57 | 50 | 64 |
| South Australia | 56 | 47 | 53 | 64 | 55 | 54 | 54 | 56 |
| Victoria | 59 | 48 | 49 | 54 | 53 | 46 | 57 | 61 |
| Queensland | 56 | 48 | 48 | 49 | 53 | 50 | 54 | 54 |
| New South Wales | 61 | 48 | 41 | 50 | 50 | 42 | 58 | 58 |
| Tasmania | 53 | 48 | 53 | 59 | 48 | 50 | 45 | 50 |
| Western Australia | 63 | 47 | 38 | 43 | 50 | 47 | 46 | 47 |
| Northern Territory | 49 | 48 | 39 | 39 | 45 | 46 | 45 | 43 |
Grid Impact, Water, and Planning Risk are inverse-scored: higher = lower strain.
Companion to the Australian Enterprise AI Index
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