AI-driven efficiency comes with growing exposure
AI has become central to how iGaming businesses scale. We’re seeing:
- Automated player monitoring.
- Fraud detection.
- Personalised marketing.
These systems can process vast amounts of data faster than human teams ever could. And it’s been great for many reasons.
“What the gambling industry has been good at is using AI for customer personalisation, marketing and game optimisation, but they’ve been quite poor in implementing it across back-office systems.” – Warren Russell, Founder and Chief Executive Officer of eyeDP.
The issue is that speed does not always equal accuracy. Poorly trained models can make incorrect decisions. They can flag legitimate players or fail to identify genuine risk. When AI systems operate at scale, small errors can quickly become systemic problems.
Criminal misuse of AI
The AI arms race is not limited to licensed operators. Fraudsters and organised crime groups are also deploying AI tools to exploit weaknesses in gambling platforms. Deepfake identities, automated account creation and synthetic documents are becoming more sophisticated and harder to detect.
This creates a moving target for compliance teams. As defensive AI improves, offensive AI adapts alongside it. Operators are being forced into constant escalation, investing more resources simply to maintain existing security standards.
Regulatory scrutiny is catching up
Regulators are becoming increasingly concerned about how AI systems are used in gambling environments. Automated decisions around affordability, exclusions and risk profiling raise questions about transparency and accountability.
Operators have growing pressure on them to explain how their AI models work, how decisions are made and how bias is avoided. In many jurisdictions, like in the UK, regulators are warning operators that the responsibility for AI-driven outcomes will sit firmly with license holders. It doesn’t matter if their systems are developed in-house or supplied by third parties; the responsibility is the same.
A strategic challenge, not just a technical one
The AI arms race in iGaming is a strategic and governance challenge that touches compliance, ethics and long-term trust. Operators that treat AI as a purely operational tool risk falling behind regulatory expectations.
Those that invest in oversight, explainability and human-led controls are likely to be better positioned as scrutiny increases. As AI becomes more powerful, the industry’s ability to manage its risks will matter just as much as its ability to deploy it.
