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DraftKings Uses AI Model to Target Frequent Losing Bettors, NYT Reports

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GoKawiil Brief

According to a New York Times report cited by EFF, DraftKings trains a machine learning model on customer betting histories to identify gamblers likely to keep losing money. The company then sends these identified users targeted promotions designed to draw them back onto the platform to place more bets.

Why It Matters

GoKawiil's interpretation of the reporting above, not reported fact.

EFF argues this represents an intensified form of behavioral advertising, where AI's ability to process vast troves of personal data lets companies pinpoint and re-engage financially vulnerable users more precisely than before. Because AI models function as black boxes, the group suggests firms may be incentivized to collect ever more personal data without fully understanding which inputs drive results, deepening privacy and ethical concerns around targeting people described as problem gamblers.

Key Takeaways

Source: eff.org — Devanshi Nishar, 2026-09-29

Published there as: “DraftKings Is Using AI to Behaviorally Target Chronic Gamblers”

Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.