DraftKings Uses AI to Target High-Loss Gamblers With Promotions
DraftKings deploys data science to identify and incentivize bettors most likely to lose, while resisting AI tools aimed at protecting at-risk gamblers.
DraftKings has built a data science operation that identifies which gamblers are most likely to lose money and then directs betting incentives toward those users, according to a report by The New York Times. The approach underscores how artificial intelligence and predictive modeling have become central to the sports-betting industry's customer acquisition and retention strategies.
The company's use of algorithmic targeting raises fresh ethical questions about the responsibility online gambling platforms bear toward their customers. While DraftKings applies sophisticated technology to maximize revenue by pinpointing vulnerable or high-loss bettors, the company has reportedly resisted deploying comparable tools to flag or protect users who may be developing gambling addictions.
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The disparity has drawn scrutiny at a time when the rapid expansion of legalized sports betting across the United States has prompted growing concern from public health advocates and lawmakers. Critics argue that platforms are leveraging the same behavioral data that could identify at-risk users to instead deepen their financial exposure to the platform.
DraftKings has not publicly detailed the full scope of its data modeling practices, but the revelations highlight a broader industry tension: the same predictive capabilities that drive commercial success could, in principle, be redirected toward harm-reduction efforts. Whether regulators will compel such a reorientation remains an open question as state-level oversight of sports betting continues to evolve.
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