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DraftKings Accused of Using AI to Target Losing Gamblers in Class Action: A Comprehensive Guide

By jili tutorial · October 7, 2026

DraftKings Accused of Using AI to Target Losing Gamblers in Class Action: A Comprehensive Guide

Introduction: The Intersection of AI and Gambling Addiction

A proposed federal class-action lawsuit has thrust DraftKings, one of the largest sportsbook operators in the United States, into the spotlight for allegedly using artificial intelligence to prey on its most vulnerable customers. The core accusation: DraftKings “weaponized” machine learning to identify gamblers most likely to lose money and then bombarded them with promotions designed to keep them betting—directly contradicting the company’s own promises to promote responsible gambling.

This guide unpacks the lawsuit’s claims, explains the AI technology at the center of the controversy, explores the legal framework governing sportsbook data use, and examines what this case could mean for the future of online gambling regulation.

The Allegations: A Broken Promise of Responsible Gambling

Plaintiff Daniel Vest’s Experience

West Virginia resident Daniel Vest filed the complaint on September 30 in Massachusetts federal court. Vest, who says he has gambled thousands of dollars annually with DraftKings over several years, claims he received at least 70 promotional messages—including emails, texts, push notifications, and other communications—from the company during roughly 30 days ending September 25.

The lawsuit alleges that DraftKings used customers’ personal betting data in ways that conflicted with its own privacy notices. Those notices state that personal information may be used to identify potentially problematic play and provide responsible-gambling resources. Instead, the suit argues, the company harnessed that same data to identify customers likely to lose more or leave the platform—and then enticed them to continue gambling.

Nationwide Class Action

Vest seeks to represent a nationwide class of DraftKings customers allegedly identified by the company’s AI systems as particularly responsive to gambling incentives. The proposed class could include thousands of users who were targeted by the same machine-learning model.

How DraftKings’ AI System Reportedly Works

The “Elasticity” Score

The lawsuit draws heavily on a September investigation by The New York Times, which reported that DraftKings developed a machine-learning model to determine which customers were most likely to gamble—and lose—more after receiving promotions. According to the Times, the system assigned each customer an internal “elasticity” score.

One former employee quoted in the Times investigation described the model’s purpose bluntly: it was designed to determine whether a customer would give DraftKings more money than the company gave them in incentives. If the answer was yes, the employee said, the approach was to “open the floodgates.”

Why This Matters for Problem Gambling

This targeting strategy stands in sharp contrast to responsible gambling initiatives. Rather than identifying customers showing signs of addiction and steering them toward help, DraftKings allegedly used AI to push those same customers deeper into loss-chasing behavior. The timing and frequency of promotions—Vest received more than two per day on average—suggest a deliberate campaign to exploit behavioral vulnerabilities.

Context: How Other Companies Use AI in Gambling

AI and machine learning are widely used across the gambling industry for purposes like fraud detection, odds setting, and personalized marketing. However, most operators claim they use these tools to prevent harm, not to amplify it. For example:

The DraftKings case highlights a growing tension between profit-driven personalization and ethical obligations to protect vulnerable customers.

Violation of State Rules

The lawsuit notes that Massachusetts regulations specifically prohibit sportsbooks from using customer data to promote wagers through AI or machine-learning systems that operators know, or reasonably expect, could make their platforms more addictive. DraftKings is headquartered in Boston and is licensed in Massachusetts, making the state’s rules directly applicable.

Breach of Promises in Privacy Notices

Vest’s lawyers argue that DraftKings’ use of personal data directly clashed with the company’s own privacy notices. Those notices claim data may be used to:

But the lawsuit alleges the company instead used that data to:

Vest is seeking:

DraftKings’ Defense: Denials and Vigorous Pushback

Official Statement

A DraftKings spokesperson told Boston.com: “DraftKings does not use AI to target customers based on losses, nor do we use AI to target customers based on indicators of potential problem gaming.” The company also stated that it intends to “vigorously defend” itself against the allegations.

Independent Review by Massachusetts Gaming Commission

The Massachusetts Gaming Commission is separately reviewing the use of AI and machine learning by DraftKings and other licensed sportsbooks following the Times investigation. As of now, the commission has not found that DraftKings committed wrongdoing. However, the review remains ongoing, and its findings could shape future regulatory actions.

Key Defenses DraftKings May Raise

Broader Implications for the Online Gambling Industry

The Growing Role of AI in Sports Betting

Online sports betting has exploded in the United States since the Supreme Court struck down the federal ban in 2018. Operators now compete fiercely for customer attention, and AI-driven personalization has become a core competitive advantage. But this case raises a critical question: Where is the line between effective marketing and predatory manipulation?

Responsible Gambling vs. Profit Maximization

Many sportsbooks have publicly committed to responsible gambling initiatives, including self-exclusion tools, deposit limits, and mandatory pop-up warnings. Yet the DraftKings lawsuit suggests that behind-the-scenes practices may undermine those efforts. Industry watchdogs argue that if AI can identify which customers are likely to lose the most money, it can also identify those at risk of addiction—and should be used to help them, not to fuel their losses.

Potential Regulatory Fallout

If the lawsuit succeeds or the Massachusetts Gaming Commission finds fault, it could trigger a wave of similar legal actions and regulatory reforms. Possible outcomes include:

Conclusion: A Landmark Case for Gambling Regulation

The DraftKings class-action lawsuit represents one of the most significant legal challenges to the use of AI in gambling. Whether the allegations are proven in court or not, the case has already forced a public reckoning with how sportsbook operators collect, analyze, and monetize customer data.

For gamblers, the takeaway is clear: the same algorithms that suggest your next bet may also be tracking your losses—and deciding whether to tempt you further. For regulators, the case underscores the urgent need for clear rules governing AI in gambling. And for DraftKings and its competitors, the outcome could redefine how they balance profit with responsibility in an increasingly data-driven industry.