Australian EnterpriseAI Index
🏦

Banking

Rank #1 nationallyQ3 2026

Australian banks lead enterprise AI maturity nationally, driven by production deployments in fraud detection, credit risk, and customer automation at scale. APRA CPS 230/234 compliance drives governance rigour, though two active ASIC formal reviews signal gaps remain.

Composite

67.8

out of 100

Maturing

Dimension Scores

Vertical tick on bars indicates national average. Incidents: higher = fewer incidents.

Key Insight — Q3 2026

Banking stands out on Investment (79.1, +33.4 vs national), but has the most ground to gain on Incidents (46.4, 4.8 vs national).

Cross-Dimension Analysis

1 signal
Opportunity · Responsible Scaling

Governance leadership combined with strong adoption creates a durable competitive moat.

This industry has paired mature governance (Governance ≥ 65) with broad deployment (Adoption ≥ 60) — the pattern KPMG AU identifies as "AI Leaders" in its Q2 2026 Pulse Survey. Organisations in this zone face fewer regulatory headwinds, attract higher-quality AI talent (LinkedIn Economic Graph: AI skills premium +25% where governance is documented), and convert AI investment to measurable ROI faster than peers.

KPMG AU AI Pulse Q2 2026; LinkedIn Economic Graph AU, 2026

Quarterly Trend

Banking — Q3 2025 to Q2 2026

AI Incidents

4 documented incidents in Banking

View all Banking incidents

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🏢 Banking AI Maturity — AEAI Q3 2026

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Cite this data

Free to cite with attribution
APA 7

Australian Enterprise AI Index. (2026). Banking sector AI maturity (Q3 2026: 67.8/100). AEAI. https://corporateai.com.au/industry/banking

Harvard

Australian Enterprise AI Index 2026, Banking sector AI maturity (Q3 2026: 67.8/100), AEAI, viewed 28 July 2026, <https://corporateai.com.au/industry/banking>.

Board / Exec

Source: Australian Enterprise AI Index (AEAI), Q3 2026 — https://corporateai.com.au/industry/banking

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