Global economies can save $3,13-trillion by using AI to detect and prevent money laundering and terrorist financing, according to the inaugural Napier AI/AML Index.
The Napier AI/AML Index, published in partnership with leading research group GlobalData, provides the industry’s most comprehensive insights into the impact of AI on anti-money laundering and counter-terrorist financing (AML/CFT). It ranks 35 global markets based on their effectiveness in financial crime compliance.
Some of the report’s key findings include:
- North America, the Nordics, and Central Europe rank at the top, respectively, in terms of geographic regions with the smallest percentage of GDP lost to money laundering.
- Italy, Poland, and the Czech Republic rank at the top, respectively, in terms of countries with the most efficient spend on anti-money laundering.
- Regulated firms like banks, payments firms, wealth & asset managers, telcos, and insurance companies can save $138-billion on compliance costs by implementing AI into their AML strategies.
- 5% of global GDP – roughly $5,2-trillion – is funneled into the black market through money laundering.
- Worldwide, the US stands to gain the most from AI-powered financial crime compliance solutions, potentially saving financial institutions $23,4-billion on compliance costs – followed by Germany ($14,2-billion), and France ($11,08-billion).
- The United Arab Emirates has the highest GDP loss to financial crime globally at 9,32%, followed by Brazil at 8,74%.
While financial institutions spend heavily on crime compliance, the investment is justified when it recovers billions and strengthens safeguards. The focus should be on spending effectively, using AI tools to boost both compliance and economic recovery.
“Financial hubs are much more vulnerable to financial crime,” says Dr Janet Bastiman, Napier AI’s chief data scientist. “Mature economies like Canada, the US, and the UK have effectively balanced open banking and AI innovation with the cost of managing financial crime risks. Fast-growing economies with strong financial services industries are looking to find this balance to reduce financial losses to the black market.”
Greg Watson, Napier AI’s CEO, says: “We are at the tipping point where technology can drive monumental change in financial crime prevention. At Napier AI, we see AI not only as a tool but as a catalyst that can enhance compliance efforts globally and delivering better results with greater efficiency. The numbers from this year’s Index are a testament to what is achievable when AI is effectively AML in what we call a compliance-first approach.”
Sam Murrant, consulting director at GlobalData, adds: “One of the key findings in our research was that AML compliance, while seen almost unanimously as essential, is generally inefficient. It is clear from the findings of this report that there is huge potential to improve AML processes. According to our model, implementation of technological solutions to save valuable time among the experts working in AML can save banks billions annually in compliance costs alone.”