“I remember setting alarms for 4am on payday, anxiously waiting to gamble as soon as my salary hit my account. By 8am, I found myself seeking loans to survive the month.”
Danny Cheetham started visiting local bookies aged 18, gambling on the Fixed Odds Betting Terminals (FOBTs). It wasn’t long before he transitioned to online games. “The ease of access and the solitary nature of online gambling exacerbated my habits,” says Mr Cheetham, now 34. The latest wave of artificial intelligence (AI) has given gambling firms a new tool to work with. Companies say it enhances the customer experience. But Mr Cheetham, and others, are not so sure: “While this technology undeniably enhances user engagement, it also has the potential to deepen addiction. The ethical dilemma here is whether the pursuit of profit is being prioritised over the welfare of individuals prone to addiction,” he says. Scotty McKeever dismisses such concerns. AI is at the core of the service offered by his firm EquinEdge. EquinEdge uses AI to analyse data such as horse performance, track conditions, and jockey and trainer statistics. It crunches this to generate a metric, such as the probability that a particular horse will win. The hard work has been carried out by AI but gamblers must still decide how to interpret that metric – which is, as EquinEdge describes it, “the fun part.” “AI has made it easier than ever before to offer consumers the kind of data and analysis that used to be the province of pros,” says Mr McKeever.
He does not think the application of AI will make any difference to problem gambling. “It’s a disease no different than any other addiction. Those who suffer from it aren’t going to be helped by making gambling more boring or challenging, nor will they be harmed by making gambling less boring or challenging.” Many other firms are using AI to tailor the experience for gamblers. Betby supplies the technology behind sportsbooks such as Sportradar and Betgenius, and uses AI to personalise the betting experience and predict churn and lifetime value. Danil Emelyanov, head of AI at Betby says the company’s recently launched AI tools allow it to “prioritise relevant content for users based on their past activity, current actions, similarities with behaviourally close customers, and prevailing sports trends.” Like EquinEdge, Betby provides additional information about specific events to help customers make informed decisions on their wagers too, presenting recommendations to users. But as well as offering the gambler more of what they want, the AI is also being developed to recognise “key behavioural shifts” that might indicate the customer has a problem. That might be repeated losses or loss chasing, impulsive behaviour and overall spending. Betby’s algorithms depend on data such as user account activity, frequency of bets, amounts wagered, and types of bets placed. “From this data the technology can identify key traits which could indicate problem gambling or fraudulent behaviour,” says Mr Emelyanov.
