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DraftKings Used AI to Reward Customers Most Likely to Lose

The big news this month is ugly and simple: a major sports‑betting company reportedly used artificial intelligence to find and reward the customers most likely to lose money. That finding — laid out in a major investigation — paints a picture of data science doing what it does best for shareholders, and its worst for vulnerable people.

What the investigation found about DraftKings AI targeting

Reporters say more than 40 former employees, internal memos and experiment logs show DraftKings ran a 2023 machine‑learning model that scored customers by an “elasticity” number. That score estimated how much a customer would lose for every promotional dollar spent on them. Higher scores meant bigger or more frequent free bets, deposit bonuses and “profit boosts.” The company handled billions in promotions while pulling in roughly $8.7 billion in revenue from sports and casino customers, the reporting notes.

Company reaction and legal pressure

DraftKings denies unfair targeting and says promotions are aimed at engaged users, not losers. CEO Jason Robins and Chief Responsible Gaming Officer Lori Kalani have defended the company’s practices, with Kalani saying the firm judged predictive risk scores not proven enough to deploy. At the same time, municipal regulators have been poking around — a city subpoena and a legal fight in Philadelphia show the scrutiny is already real and could spread to other states.

Why this matters to conservatives and the public

Freedom without responsibility becomes a mess

We like free markets, but markets need guardrails when people get hurt. The report suggests the same signals that make a bettor “valuable” to marketing are the ones that flag problem gambling. If true, that’s a moral failure, not just a PR problem. Companies should not be allowed to profit from people’s worst days while telling lawmakers and the public they’re protecting users. That’s capitalism with a glossy app and an A.I. stamp.

What should happen next — transparency and enforcement

Regulators should open full reviews, not press releases. Lawmakers must demand transparency on how promotional algorithms work and require checks that prevent targeting of at‑risk customers. Responsible gaming programs should be independent, and penalties should bite when companies gamify addiction. If the evidence holds up, this is a test: either industry self‑polices with real teeth or the public forces hard rules. I’d bet on the latter if I were you — and I don’t mean with one of their “free bets.”

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