DraftKings AI Behavioral Targeting of Chronic Gamblers

DraftKings Uses AI to Target Losing Gamblers for Profit

DraftKings is employing machine learning models to identify customers most likely to place losing bets and respond to gambling promotions. By analyzing betting records, the company targets these vulnerable individuals with personalized advertising designed to lure them back to the platform, specifically targeting those the company predicts will continue to lose money.

This practice represents a sophisticated application of online behavioral advertising, where AI is used to capitalize on the vulnerabilities of "problem gamblers"—individuals who gamble despite significant harm to their finances, relationships, and personal well-being. Because DraftKings' primary revenue is generated from losing players, the company has a direct business incentive to re-engage chronic losers rather than mitigate their risk.

The Role of AI in Supercharging Behavioral Advertising

While behavioral advertising is not new, the integration of AI has magnified its potential for harm in several ways:

• Data Intensification: AI models require vast amounts of data for training and refinement, incentivizing companies to collect more personal information than traditional advertising methods would require.
• The "Black Box" Problem: Because AI operates as a black box, developers often cannot predict which specific data points are most effective, leading to a cycle of continuous, indiscriminate data collection.
• Processing Speed: AI allows for the near-instantaneous processing of enormous datasets, enabling real-time targeting of users based on their most recent behavioral triggers.

DraftKings primarily utilizes "first-party data"—information collected directly from its users—to fuel these models. This indicates that policy solutions focusing solely on the restriction of third-party data sharing are insufficient to prevent predatory targeting.

Broader Implications for the Surveillance Industry

Data collected for targeted advertising often feeds a larger surveillance ecosystem. The Electronic Frontier Foundation (EFF) notes that data gathered for ad tech is frequently sold to insurance companies, banks, and government law enforcement agencies, including Customs and Border Protection (CBP) and Immigration and Customs Enforcement (ICE).

Industry Perspectives and Ethical Critiques

Technical and industry observers have highlighted that these practices are an evolution of long-standing casino strategies.

Systematic Exploitation

Many observers argue that this is a digital version of the "whale" strategy used by physical casinos, where a small percentage of high-value, often addicted, customers provide the bulk of the revenue. One commenter noted that in a 2024 Connecticut study, 1.8% of problem gamblers accounted for 51% of sports betting revenue.

Moral and Regulatory Concerns

Critics argue that the gambling industry is mirroring the tactics of the tobacco and opioid industries by profiting from addiction.

"Gambling is genuinely the scariest drug... Imagine having an addiction problem and having to carry the problem substance around with you 24/7."

There is also a consensus among critics that "responsible gaming" labels are often superficial. Former industry employees have reported that while companies publicly promote responsible gaming, account managers are privately incentivized to provide VIP treatment and perks to prevent high-value addicts from quitting.

Comparison to Other Industries

Some observers suggest that this behavioral targeting is not unique to gambling but is a core business model for several digital sectors, including free-to-play gaming and dating apps, which use similar "dark patterns" to maintain user engagement through psychological manipulation.