AI is reshaping AML in Australia — but at what risk?

Australia’s financial crime compliance sector is caught between two forces pulling in opposite directions, according to RegTech firm Napier AI.

AI is simultaneously strengthening anti-money laundering (AML) defences and arming the criminals those defences are designed to catch.

New research from Napier AI’s AML Index reveals that Australia lost an estimated $87.39bn (AUD) to money laundering in 2024 to 2025. Despite that scale, AI-enabled improvements could recover only an estimated $2.65bn. More troubling still, compliance costs are rising at 9% annually, well above the 3% growth in losses, suggesting that spending more is not delivering proportional results.

The most visible gains are coming from institutions that have moved beyond pilots. Australia Post, which has expanded into digital banking and financial services, implemented a modern AML system that cut false positives by more than 50% whilst boosting detection of suspicious activity by 135%. That uplift contributed intelligence that helped dismantle a cross-country money laundering syndicate, a result Napier AI cites as proof that transformation, not incremental optimisation, is what the sector needs.

Yet the threat landscape is evolving just as fast. Criminals are using AI to industrialise techniques such as smurfing, synthetic identity creation and mass-market scams. Napier AI’s index identifies human trafficking-linked money muling networks, drug-related flows through informal hawala systems, and large-scale cyber-enabled smurfing campaigns as the typologies most commonly seen in Australia.

The economics of financial crime have shifted: what once required manpower now runs algorithmically, at scale and around the clock.

The structural mismatch is stark. Legacy AML platforms were designed for batch processing and static rules. Layering AI onto those foundations, Napier AI warns, risks obscuring rather than solving the underlying problem. If rule changes still take months and decisioning cannot operate in real time, automation delivers the appearance of progress without the substance.

Regulation is not the obstacle, Napier AI argues. Australia ranks among the leading markets globally for a positive view of its regulator’s role in supporting AI adoption for AML. The real barrier is infrastructure. Regulatory frameworks now assume modern, transparent and configurable technology foundations that many institutions simply do not yet have.

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