Former DraftKings employees detail how it uses ML to target likely losers with promotions, while efforts to flag problem gamblers were shelved or squashed

DraftKings' use of AI to target high-loss gamblers means promotions and bonuses may be tailored to exploit addictive behavior.

Former DraftKings employees revealed that the company utilizes machine learning to identify customers likely to lose the most money and target them with promotions. These algorithms score users based on betting habits, with higher scores indicating a greater propensity to lose. Simultaneously, efforts to use similar technology to identify and flag problem gamblers have reportedly been stalled or suppressed. This internal conflict arises as DraftKings, like many tech firms, analyzes user data to maximize engagement and spending. The company has officially stated that its promotions are aimed at "sustained, engaged use" rather than losses, disputing claims that its marketing unfairly targets vulnerable customers. However, the article suggests a business model that profits from addiction, creating a tension between profit motives and responsible gambling initiatives.

The report highlights a significant conflict within DraftKings: the company actively employs AI to identify and target its most profitable customers, defined by their propensity to lose money, while seemingly deprioritizing the use of similar technology for identifying problem gamblers. This suggests a business strategy that may actively exploit addictive tendencies for profit, a practice that raises ethical concerns and questions about regulatory oversight in the burgeoning online gambling industry.

This approach signals a broader trend in the digital economy where user data is extensively leveraged for commercial gain, even when it involves potentially harmful behaviors. For consumers, it means that personalized marketing, particularly in high-stakes industries like online gambling, may be designed to encourage continued engagement and spending rather than to promote responsible usage or well-being.