Massachusetts Is Investigating Gambling A.I. — and It Could Reshape Rules Worldwide

The Probe That Changes Everything

Massachusetts just became the first state to meaningfully investigate whether gambling companies are using artificial intelligence to prey on vulnerable bettors. That distinction matters far beyond New England. If the Massachusetts Gaming Commission’s inquiry produces enforceable rules — and there is every reason to believe it will — it sets a template that federal lawmakers, other states, and overseas regulators will study closely.

The trigger was not a whistleblower or a legislative hearing. It was a New York Times investigation revealing that DraftKings used machine learning to identify customers most likely to lose money after receiving promotional offers, then sent those same customers more promotions. Six former employees told the paper they feared the technology would harm people with gambling addictions. DraftKings also sidestepped efforts internally to use similar systems to predict which users needed intervention.

The details from the Times reporting paint a picture of an internal culture clash. Engineers and data scientists at DraftKings reportedly built models capable of flagging users exhibiting signs of pathological gambling. But according to former employees, those risk-prediction tools were deprioritized in favor of revenue-generating models designed to maximize promotional spend on high-loss-propensity customers. The same algorithms that could have pulled a fading bettor back from the edge were instead being used to dangle another free bet in front of them. One former employee described the dissonance bluntly: the company had built a car that could both detect when someone was about to crash and accelerate them toward the cliff.

Jordan Maynard, the commission’s chair, did not mince words. “These A.I. technologies are evolving rapidly across our society, and we share the concern over their application,” he said during a public meeting. Commissioner Paul Brodeur called the findings “troubling” and demanded a factual record. The commission has since opened a formal inquiry, requiring DraftKings and other licensed operators to produce internal documents, model documentation, and promotional targeting strategies used in the Massachusetts market.

What the Law Already Says — and What It Doesn’t

Massachusetts law is unusually explicit on this point. The state prohibits operators from using customer data to offer promotions based on any automated system, including AI, that is “known or reasonably expected” to make a gambling site more addictive. Licensed operators must also report to the commission at least twice a year on how they analyze customer behavior to promote responsible gambling.

The statute was crafted with surprising foresight. When Massachusetts legalized sports betting in 2022, legislators included language addressing automated decision-making in promotions — a provision clearly aimed at the kind of hyper-personalized marketing that was beginning to proliferate in the industry. That language has never been tested in enforcement. This investigation is the first real stress test.

DraftKings has submitted those reports. A commission spokesperson declined to make them public. The company denies the allegations, stating it “vehemently” denies making its offerings addictive and does not use AI to target customers based on losses or indicators of problem gambling. The company has also pointed to its responsible gambling tools — deposit limits, time-outs, self-exclusion — as evidence of good faith.

Here is where the investigation gets interesting. The law draws a line between using AI to exploit gamblers and using AI to protect them. FanDuel, DraftKings’ largest competitor in the state, said in a statement that it uses machine learning to detect signs of harmful play. It did not address whether it uses the same technology for commercial targeting. That silence is telling and suggests FanDuel, like DraftKings, operates multiple models that serve different masters — one aimed at harm reduction, another at revenue optimization.

The commission has not previously taken any enforcement action related to AI. That changes now. Whatever outcome emerges from this inquiry will define the boundaries of acceptable algorithmic conduct in American gambling for years to come.

The Federal Layer

Congress is already moving. Senator Richard Blumenthal, Democrat of Connecticut, co-sponsored a bill that would set nationwide standards, including a ban on AI monitoring of betting activity for the purpose of targeting customers with individualized promotions. He said the Times investigation “provides graphic and powerful proof of what their business model is.”

A federal ban would preempt a patchwork of state laws. But preemption cuts both ways. It could eliminate strong state rules like Massachusetts’ or it could establish a floor that raises standards everywhere. The outcome depends on whether Washington drafts its standard around consumer protection or industry convenience. Industry lobbyists are already working behind the scenes to ensure any federal framework includes carve-outs for “responsible marketing” and “personalized customer experiences” — language that could swallow the prohibition whole.

Beyond the Blumenthal bill, the FTC has signaled interest in scrutinizing algorithmic practices across industries, and gambling is a natural extension of that focus. A coordinated federal-state enforcement posture would dramatically raise the compliance burden for all major operators.

The Global Angle Most Readers Miss

This story will not stay American. Algorithmic gambling exploitation is not a U.S.-specific problem. It is a business-model problem that scales instantly across borders.

In the United Kingdom, the Gambling Commission has already signaled it is looking at how operators use personalized pricing and targeting. The UK has some of the strictest responsible gambling requirements in the world, yet problem gambling rates remain stubbornly high. Regulators there are now examining whether algorithmic personalization is undermining those protections. A Massachusetts precedent would give UK investigators a ready-made analytical framework.

In Australia, where problem gambling rates are among the highest in the developed world, regulators face enormous pressure to act after decades of industry self-regulation. The Australian Communications and Media Authority has begun reviewing how betting apps use push notifications and personalized offers. DraftKings’ parent company,DKNG, generates significant revenue in Australian markets through partnerships — making this directly relevant to their operational strategy.

In Asia, where online gambling demand is surging and regulatory frameworks are still forming, the playbook DraftKings allegedly used is available to any operator with a data science team. Countries like Japan, South Korea, and the Philippines are all expanding their gambling markets. Without a strong American example, they will default to industry standards — which means algorithmic targeting goes unchecked by default.

What Massachusetts does next will matter to all of them. A well-crafted rule that distinguishes between protective AI and exploitative AI gives other regulators a model. A weak or vague outcome encourages operators to treat the United States as a laboratory for tactics they can deploy elsewhere with minor modifications.

Second-Order Effects Nobody Is Discussing Yet

The ripple effects of this investigation extend well beyond regulatory compliance. Insurance markets are already watching. Cyber liability and errors-and-omissions insurers writing policies for gambling operators are beginning to treat algorithmic targeting practices as a material risk factor. Policies may soon require disclosure of AI model purposes and governance structures — a transparency mandate that could force the hand of operators who prefer to keep their targeting logic proprietary.

Technology vendors serving the gambling industry face their own reckoning. Companies that build customer-data platforms, predictive models, and personalization engines for sportsbook operators will need to demonstrate that their tools can be configured for responsible use or face exclusion from regulated markets. This could reshape an entire B2B software ecosystem.

Smaller operators and regional sportsbooks stand to benefit if Massachusetts imposes strict rules. Compliance-heavy regulations disproportionately burden smaller companies that lack the engineering resources to build parallel protective systems. The result could be further industry consolidation — a dynamic that regulators will need to balance against consumer-protection goals.

Who Wins, Who Loses, What Happens Next

If Massachusetts follows through with enforcement, the immediate winner is consumer protection. Operators that relied on aggressive AI targeting will face higher compliance costs and a narrowed toolkit for customer retention. The losers are the companies that built their growth strategies around exploiting cognitive vulnerabilities rather than competing on product quality.

The longer-term winner could be the framework itself. A state-level inquiry that produces clear rules becomes a reference point. Federal lawmakers will cite it. Foreign regulators will study it. The question is whether the rules are substantive or theatrical — whether they constrain behavior or merely require operators to disclose the very practices they seek to limit.

Massachusetts has the legal authority to fine operators, suspend licenses, or repeal them. Maynard said the commission will use the inquiry’s results to determine whether further action or policy-making is needed. That language is deliberately open-ended. It means nothing has been decided yet.

What is clear is that the technology exists. The evidence, as the Times documented, is specific. The law already prohibits what the evidence describes. The only question now is whether a state regulator will enforce its own statute against one of the most powerful companies in the gambling industry.

How Massachusetts answers that question will echo far beyond Boston — in Congress, in Westminster, in Sydney, and in every jurisdiction still deciding whether algorithmic gambling is innovation or exploitation.