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DraftKings uses AI to target chronic gamblers with losing bets

DraftKings is applying AI to identify customers who repeatedly place losing bets and then sends them tailored promotions to encourage further gambling. The company trains a machine learning model on its users’ betting records to predict which individuals are most likely to lose money. These targeted ads aim to re-engage problem gamblers, who are more vulnerable to financial harm, by offering…

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Key points

  • DraftKings trains AI on betting records to find users who repeatedly lose money
  • Model targets these users with promotions to encourage further gambling for profit
  • Company uses only first-party data, not third-party sources, for its AI model

The practice relies on first-party data, meaning DraftKings only uses information collected directly from its users, not third-party sources. Critics argue that AI amplifies the harms of behavioral advertising by enabling faster, more precise targeting. The article highlights how this system exploits user vulnerability for profit, while also noting that ad data often fuels broader surveillance industries, including law enforcement. No specific figures on model accuracy or ad effectiveness are provided.

Full story from eff.org · by Devanshi Nishar · via Hacker NewsOpen source ↗

DraftKings Is Using AI to Behaviorally Target Chronic Gamblers

eff.org · 24 September 2026

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This text was published by eff.org and written by Devanshi Nishar. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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