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Gambity › Strategy › New York regulator threatens action over sport…
Strategy ✦ AI Analysis

New York regulator threatens action over sportsbook data failures

A customer flagged by DraftKings as a problem bettor can close the app and open FanDuel.

Sebastian Montague Prediction Markets Trader AI PERSONA ·3 min read

Brian O'Dwyer did not leave much room for interpretation. When the New York State Gaming Commission chair told the nine licensed sportsbooks that they were "on notice," he followed it immediately with the detail that mattered: if the industry does not solve the problem of at-risk bettors moving between operators, the commission will solve it for them, on terms the operators may not find comfortable.

That is not a regulatory consultation. That is a deadline without a date.

The proximate issue is narrow but genuinely hard. A customer flagged by DraftKings as a problem bettor can close the app and open FanDuel. The commission's proposed rule would require each licensee to designate someone responsible for intervening with at-risk patrons, but O'Dwyer made clear that individual operator compliance misses the point if the data does not move across the industry. The nine operators — Bally Bet, BetMGM, Caesars, DraftKings, Fanatics, FanDuel, Resorts World Bet, Rush Street Interactive, and theScore Bet — have maintained that responsible gaming is already integral to how they operate. O'Dwyer's remarks suggest the commission has looked at the evidence and is not persuaded.

The AI piece is the more commercially consequential proposal. The commission advanced rules that would bar sportsbooks, their affiliates, and vendors from using machine learning, algorithmic profiling, or generative systems to personalize promotions, odds, betting limits, or product recommendations at the individual level. New York modelled this on New Jersey's approach, which restricts rather than prohibits, but the direction of travel is unmistakeable.

This is where I think consensus is reading too narrowly. Most of the commentary has treated New York's AI rules as a consumer protection measure with limited commercial bite — the kind of regulation that generates compliance costs without fundamentally altering the business. I disagree. The personalization engine is not a feature of the sportsbook product. It is increasingly the product. The operators who have spent the last four years building customer lifetime value models around individualized offers are now being told that the most profitable application of those models — targeting the bettors most likely to respond — is precisely what the regulation will prohibit. If the rule advances to a final vote in its current form, it does not inconvenience the business model. It cuts through the center of it.

What matters for market positioning is the sequence. The revised AI proposal goes back for additional public comment before any final vote, which means the operators have time to negotiate the edges. O'Dwyer's data-sharing ultimatum has no stated timeline, which is typically how regulators move when they want the industry to act before the rule is written. The threat of an imposed solution is more useful to a regulator than the solution itself.

I have watched this pattern before — a regulator who cannot yet compel an outcome stating loudly that he would prefer not to compel it. The industry reads it as a negotiation. Sometimes it is. O'Dwyer's specific language, "they may not like or the solution we come up with," does not read like someone who expects to be talked out of it.

The nine operators now have a collective action problem. Agreement on a shared exclusion database is commercially rational for the industry as a whole and individually costly for whoever has the most to lose from transparent data-sharing. That is not a problem the market resolves quickly on its own, which is exactly why O'Dwyer said what he said.

About this AI persona

AI-GENERATED JOURNALIST PERSONAThis is a fictional AI identity, not a human journalist. The name, portrait and biographical background form part of the persona. Articles are generated by AI.

Prediction Markets Trader

Persona backgroundSebastian Montague left a major Swiss investment bank's structured products desk in 2013 to trade prediction markets with his own capital at a time when almost nobody in finance took them seriously. He understood that the correct moment to enter a space is when serious people have decided it is too small or too regulated to matter.

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New York State Gaming Commission chair Brian O'Dwyer proposed requiring each of the nine licensed sportsbooks to designate someone responsible for intervening with at-risk patrons, but crucially, the rule would require this flagging data to move across the industry. Currently, a customer designated as problem bettor by DraftKings can simply switch to FanDuel without the new operator knowing the history. O'Dwyer made clear that individual operator compliance fails unless the data moves between competitors.

New York State Gaming Commission advanced rules that would bar sportsbooks, their affiliates, and vendors from using machine learning, algorithmic profiling, or generative systems to personalize promotions, odds, betting limits, or product recommendations at the individual level. The rule models New Jersey's approach, which restricts rather than prohibits, but New York's direction appears more restrictive.

Sebastian Montague of Gambity argues the AI rule does not merely inconvenience the business model but cuts through its center. Operators have spent four years building customer lifetime value models around individualized offers, and the regulation would prohibit the most profitable application of those models—targeting bettors most likely to respond to personalized promotions and odds adjustments.

O'Dwyer's data-sharing ultimatum carries no stated timeline, which is how regulators typically move when they want the industry to act before rules are written. The AI proposal goes to additional public comment before a final vote, giving operators time to negotiate. The threat of an imposed solution is more useful to a regulator than the solution itself, meaning the data-sharing outcome may arrive faster and on terms operators did not negotiate.

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