Banking
Australian banks lead enterprise AI maturity nationally, driven by fraud detection, credit risk modelling, and customer personalisation at scale.
Composite
70.5
out of 100
Maturing+1 org · 0% org weight
Dimension Scores
Click any score to see whyVertical tick on bars indicates national average. Incidents: higher = fewer incidents.
Key Insight — Q2 2026
Banking stands out on Governance (78.6, +24.5 vs national), but has the most ground to gain on Adoption (59.5, -8.7 vs national).
Cross-Dimension Analysis
1 signalInvestment capital is available but not yet converting to production deployments.
Investment (≥ 70) significantly exceeds Adoption (≤ 60), indicating committed AI budgets that have not yet flowed through to production systems. This is a leading indicator: Deloitte AU (2026) found AU enterprises average 6.8 months from AI pilot to value delivery. The opportunity window is 1–2 quarters — sectors that translate investment to adoption during this period compound their advantage; those that don't face shareholder scrutiny.
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🏢 Banking AI Maturity — AEAI Q2 2026
Cite this data
Free to cite with attributionAustralian Enterprise AI Index. (2026). Banking sector AI maturity (Q2 2026: 70.5/100). AEAI. https://corporateai.com.au/industry/banking
Australian Enterprise AI Index 2026, Banking sector AI maturity (Q2 2026: 70.5/100), AEAI, viewed 13 June 2026, <https://corporateai.com.au/industry/banking>.
Source: Australian Enterprise AI Index (AEAI), Q2 2026 — https://corporateai.com.au/industry/banking
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