£154.83bn lost to money laundering in the UK last year, global AML index reveals
An estimated bn was lost to money laundering in the UK last year, equivalent to 5.16% of the country’s GDP, according to new data from Napier AI.
Despite climbing ten places in the global rankings since last year, the UK continues to spend an estimated £5.88bn on anti-money laundering (AML) compliance, while £3.08bn in potential AI-driven cost of compliance savings remains unrealised, the sixth largest opportunity across all 42 markets assessed.
The findings come from the Napier AI / AML Index 2026 – 2027, in partnership with GlobalData. Led by Dr Janet Bastiman, chief data scientist at Napier AI, the Index provides insight into the money laundering landscape across 42 global markets.
Money laundering losses as a percentage of GDP in the UK fell from 5.53% in 2024 to 5.16% in 2025, while the cost of compliance relative to money laundering is also trending down. The Index points to cross-border account control linked to arms trafficking, money muling through human exploitation and trafficking and purchasing high-value goods through illicit trade and counterfeiting as top typologies driving money laundering through criminal activities in the UK.
Greg Watson, CEO of Napier AI, commented: “The scale of money laundering remains staggering even with promising signs of pushback in the fight against financial crime. For too long it has been assumed that the rising cost of financial crime was an inevitability, but our research proves otherwise.
However, conflicts and rapidly changing sanctions regimes have resulted in an uneven regulatory environment and gaps in financial crime defences which criminals exploit. Our newest analysis traces these trends that create the border line of financial crime and outlines how geographic and political proximity impact risk exposure as much as domestic defences and regulatory red tape. So, despite the headline progress made, nations cannot afford complacency. Financial crime moves as fast, so AML must innovate faster.”
An estimated $3.05tn in economic value could potentially be recovered globally if all assessed markets matched the AML performance of the strongest-performing markets. As governments worldwide push to stimulate economic growth and strengthen public finances, the Index identifies a significant untapped economic opportunity.
Dr. Janet Bastiman, chief data scientist at Napier AI, commented: “Over $3tn in AML recovery offers huge potential for economies and organisations, and our data shows that spending more on compliance isn’t the only answer. Better detection and underlying data, underpinned by AI, gives compliance teams a more accurate picture of their financial risk and allowing them to focus on the largest money laundering threats.
But that AI must be explainable and every automated decision must be auditable by a regulator. It requires human judgement to both own the decisions and also understand the patterns that criminals are using to stop illicit flows.”
The Index also reports a fall in the cost of AML compliance for the UK, decreasing 7.7% from £6.37bn to £5.88bn.
Artificial intelligence provides a significant and yet, currently underutilised, opportunity to keep compliance spending at bay while not sacrificing the effectiveness of AML operations. Potential AI savings continue to rise in the UK, totalling £3.08bn, with market pressure to capitalise in order to improve efficiency and effectiveness.
However, cost reduction is not the sole motivation for institutions adopting AI, regulatory obligations continue to dominate investment decisions despite growing interest in AI in AML functions. 64% of institutions noted meeting regulatory requirements is their top AML investment priority, compared with 20% prioritising new technology and 12% on hiring and training AML experts, suggesting financial institutions continue to approach AML primarily through the lens of compliance, with a focus on improved outcomes in risk-based approaches.
Encouragingly, 68% of financial crime professionals believe their existing AML engines are ready to support the data demands of AI, however realising the technology’s full potential will require institutions to address wider challenges around access to information, data sharing and collaboration.
The Index also reveals significant disparities in AML performance across global markets:
- The UK totalled £154.83bn in losses, rising slower than the economy to cut the share of GDP from 5.53% to 5.16%.
- Ireland ranked 30th, as losses rose to 4.48% of GDP from 4.28%, despite Ireland having little geographical exposure to sanctioned states.
- The UK ranked ahead of France (31st) and Germany (34th), but behind Spain (3rd), Italy (9th) and the Netherlands (19th).
- Germany and France spent roughly 4.5 and 3.4 times as much on compliance, while losing a smaller share of GDP.
- Among the Commonwealth markets, the UK ranked behind Canada (2nd), Australia (15th) and New Zealand (20th), but ahead of Singapore (27th), India (33rd) and South Africa (37th).
- The United Kingdom sits apart from some of the geographical risk, and as a result strikes an easier balance between efficiency and effectiveness, despite a relatively strong stance on sanctions.
The full Napier AI / AML Index 2026 – 2027 can be found here: https://www.napier.ai/ai-aml-index
