The Gambling Commission’s director of enforcement and intelligence has delivered a stark message to operators: don’t assume artificial intelligence will solve your anti-money laundering problems. Speaking at the Gambling Anti-Money Laundering Group conference in London, John Pierce made it crystal clear that many AI-driven compliance systems are simply not delivering the regulatory outcomes expected of them.

The Confidence and the Caution

Now, this warning might seem to contradict recent UKGC positions. The regulator recently backed the Advertising Standards Authority’s use of AI to identify gambling ads with strong appeal to under-18s. But Pierce stressed that the Commission is not opposed to emerging technologies for AML purposes. The distinction he drew is crucial: the regulator will support AI where it demonstrably works, but won’t tolerate it as a compliance shortcut.

Any operator implementing AI or algorithm-based compliance tools now faces a clear expectation. Prove it’s actually working. That means evidence. That means measurable regulatory outcomes. For many operators, frankly, that’s a higher bar than simply deploying the latest technology.

Where the Real Problems Lie

Pierce’s broader critique suggests AI implementation is only part of a larger compliance puzzle. The UKGC is seeing a recurring gap between what operators document in their risk assessments and policies versus what actually happens on the ground. That gap matters, particularly for personal management license holders who are now facing tougher scrutiny.

The specifics are telling. Some operators rely too heavily on financial thresholds to trigger customer reviews, rather than conducting proper risk assessments beforehand. Others aren’t taking genuinely risk-based approaches to money laundering and terrorist financing assessments. Staff training is patchy. Red flags on bank statements and payslips go unnoticed or unreported.

A Mixed Message on Progress

That said, Pierce did acknowledge that overall compliance standards have improved since his arrival at the Commission in February 2024. The shortcomings found in recent enforcement cases tend to be less severe than those seen previously. Worth noting, that.

Looking ahead, the UKGC will publish an updated money laundering and terrorist financing risk assessment in July, with a revised emerging risks bulletin to follow in autumn. These updates will shape regulatory expectations going forward, and operators would be wise to prepare now rather than scramble later.

What the team thinks

Carl Mitchell says:

John Pierce is right to pump the brakes here, and frankly operators who’ve been treating AI compliance tools as a tick-box exercise rather than a genuine control layer are heading for trouble. I’ve covered enough enforcement actions over the past decade to know that the Commission doesn’t just want the appearance of compliance, they want evidence of real human judgment and oversight working alongside those algorithms. The operators who’ll stay ahead are the ones putting proper resources into combining smart tech with experienced compliance teams, not the ones hoping a chatbot can replace due diligence.