Investigation Details AI-Driven Promotion System
The New York Times has published an investigation into how DraftKings utilizes artificial intelligence to manage its betting promotions. The report, based on interviews with more than 40 former DraftKings employees, examines a machine-learning model developed by the operator in 2023.
According to the investigation, the system was designed to analyze dozens of data points to determine which customers would receive specific promotional offers. The model processed variables such as how frequently customers engaged in gambling activities and their current account balances. The New York Times noted that this internal research, along with presentations, Slack messages, and betting records, formed the basis of the inquiry into the company’s promotional strategies.
Concerns Over Identifying At-Risk Gamblers
The central finding of the report is that the data utilized for these targeted promotions could potentially be used to identify gamblers who are at risk of developing gambling problems. While the model was built to optimize marketing spend and customer retention by tailoring offers to individual user behaviors, the New York Times highlighted the dual nature of this data.
By tracking metrics like gambling frequency and account balance, the system creates a detailed profile of customer behavior. The investigation suggests that this same granular data, if viewed through a different lens, provides a clear signal for identifying individuals whose patterns may indicate emerging gambling-related issues. The report does not state that DraftKings explicitly used the model to target at-risk users for problematic gambling, but rather that the capabilities existed within the data infrastructure used for promotions.
Scope of the Investigation
The New York Times conducted its deep dive using a combination of internal documents and firsthand accounts from former staff. The inclusion of Slack messages and internal presentations offers a look at how the machine-learning model was discussed and implemented within the company. The 2023 development timeline places the implementation of this specific AI-driven approach relatively recently in the context of the operator’s history, coinciding with the broader industry adoption of data analytics in sports betting and iGaming.
Former employees interviewed for the piece provided context on how the system operated and how data points were weighted in the decision-making process for promotional distribution. The reliance on more than 40 sources indicates a broad scope of internal knowledge regarding the model’s function and the company’s overall approach to customer segmentation.
Industry Context and Data Usage
The use of machine learning to personalize marketing is common across the digital gaming and betting sectors. Operators often use data to reduce churn and increase engagement by offering incentives that align with a user’s recent activity. However, the New York Times investigation draws attention to the ethical and regulatory implications of using behavioral data that can also serve as a proxy for risk assessment.
The report does not provide specific figures on the number of customers targeted by the 2023 model or the financial impact of these promotions on the company’s bottom line. Instead, it focuses on the mechanics of the AI system and the potential for misuse or unintended consequences regarding player safety. The investigation serves as a case study in how advanced data analytics can create capabilities that extend beyond their primary marketing purpose.
DraftKings did not immediately respond to requests for comment regarding the specific findings of the New York Times investigation. The publication of this report adds to a growing body of scrutiny surrounding how betting operators handle customer data and deploy automated systems to influence user behavior.
Why It Matters
This investigation highlights the dual-use potential of data analytics in iGaming. While AI is used to optimize marketing, the same data points that drive promotional offers can identify customers at risk of gambling harm. Operators and regulators must consider how automated systems handle sensitive behavioral data to ensure compliance with responsible gambling standards.
Sarah Thompson is an editorial byline used by Casino No Deposits for industry news coverage. Articles published under this byline are summarised from reporting by licensed gambling industry news sources and produced with AI assistance, then published against our editorial rules on accuracy, sourcing and tone. They are not first-hand reporting and do not contain personal player accounts. Our full process, including how bonus listings and ratings are maintained separately by our team, is documented in how we review casinos: https://casinonodeposits.com/how-we-review-casinos/
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