Australian EnterpriseAI Index

New South Wales

Rank #5 of 8Q3 2026

Composite

50.9

out of 100

Adapting

Pillar Scores

Sovereignty

59.2

+2.2 vs national avg (57.0)

Domestic Ownership Share (35%)

Data Residency Enforcement (25%)

SOCI Critical Infra Coverage (25%)

FIRB Scrutiny Depth (15%)

Grid Impact

47.6

-0.2 vs national avg (47.8)

Load vs. Headroom (35%)

Renewable Mix at Connection (25%)

Transmission Queue Pressure (20%)

Demand-Response Participation (20%)

Water

45.3

-2.8 vs national avg (48.1)

Draw vs. Regional Stress (40%)

Recycled/Non-Potable Adoption (30%)

Disclosure to Water Authorities (30%)

Carbon

48.8

-0.7 vs national avg (49.5)

Emissions Intensity per MW (35%)

PPA/Offset Coverage (30%)

Scope 2/3 Disclosure Quality (20%)

Trajectory (15%)

Local Employment

50.6

-0.4 vs national avg (51.0)

Permanent Ops Jobs Ratio (35%)

Skilled-Trades Pipeline (25%)

Community Investment Commitments (25%)

Local Procurement Share (15%)

Planning Risk

45.6

-4.4 vs national avg (50.0)

DA Approval Timeliness (30%)

Community Objection Rate (25%)

Zoning/Heritage/Env. Flags (25%)

Planning Pathway Maturity (20%)

Workload Portability

53.8

+2.8 vs national avg (51.0)

Multi-Region Failover Capability (35%)

Interconnect Diversity (30%)

Vendor/Cloud Concentration (20%)

Standards-Based Portability (15%)

Public Accountability

56.6

+3.0 vs national avg (53.6)

Consultation Quality (30%)

Environmental/Social Disclosure (30%)

Complaint Resolution Track Record (25%)

Regulator Transparency (15%)

Grid Impact, Water, and Planning Risk are inverse-scored: higher = lower strain.

Recent Signals

The evidence behind this quarter's score — every number here traces back to a sourced signal.

These microgrid projects could improve energy security, reduce reliance on diesel and help communities stay connected when they need it most.

positive

This article is relevant because it discusses the deployment of solar and battery-powered microgrids in remote communities in New South Wales, which affects the state's electricity grid capacity. The article primarily measures the 'grid_impact' pillar, as it talks about improving energy security and reducing reliance on diesel. The sentiment is positive because the funding will help regional communities improve their energy reliability.

RenewEconomy · Sept 2026 · Tier 2Source

We will create a legal obligation for the next generation of large-scale data centres… to build new renewable generation – and firming – to … ensure data centres do not increase power prices for Australians.

positive

This article is about the impact of data centres on the electricity grid and potential measures to mitigate price increases, making it relevant to the AAIRF. The primary pillar measured is grid_impact, as it discusses the strain on the grid and potential solutions. The article has a moderate positive sentiment, as it presents potential solutions to the problem, and has a magnitude of 0.5 due to its Tier 2 research classification.

RenewEconomy · Sept 2026 · Tier 2Source

The Australian Energy Infrastructure Commissioner (AEIC) Tony Mahar on Tuesday announced the launch of a “hold harmless” approach, developed over 12 months in consultation with renewables developers, government agencies, insurance organisations, farming and landholder groups.

positive

This article is relevant because it discusses renewable energy developments and their impact on the electricity grid, which is related to the grid_impact pillar of the AAIRF. The proposal for a national standard to address farmer insurance fears is a positive development for the growth of renewable energy infrastructure. The article primarily measures the grid_impact pillar, as it discusses the potential costs and liabilities associated with renewable energy developments.

RenewEconomy · Sept 2026 · Tier 2Source

Transgrid says it has receive 20 gigawatts of data centre enquiries in the last two years, twice the states peak demand

negative

This article is about electricity grid capacity in the context of AI/data-centre infrastructure growth in Australia, primarily affecting New South Wales. It discusses the strain on the grid due to increased data centre demand, which aligns with the grid_impact pillar. The sentiment is negative due to the congestion and limited capacity in the Sydney region.

RenewEconomy · Sept 2026 · Tier 2Source

Overlooked challenge: Data centre boom could lift e-waste load 10-fold, increase forever chemical risks

negative

The article discusses the potential environmental impact of a data centre boom, which is relevant to AI infrastructure growth in Australia. It primarily measures the 'grid_impact' pillar, as it touches on the strain that increased e-waste and chemical risks could put on the grid and surrounding systems. The sentiment is negative due to the potential increase in e-waste and chemical risks.

RenewEconomy · Sept 2026 · Tier 2Source

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