The New York Times · 19 Sep, 15:41 · Technology briefing

How DraftKings Uses A.I. to Target the Gamblers Likeliest to Lose

DraftKings employs artificial intelligence to identify customers most susceptible to significant financial losses, enabling highly targeted marketing interventions.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

DraftKings employs artificial intelligence to identify customers most susceptible to significant financial losses, enabling highly targeted marketing interventions. The New York Times reports that these algorithms analyse user behaviour to predict vulnerability, allowing the gambling platform to direct incentives specifically at individuals likely to chase losses. This practice raises serious ethical and regulatory questions regarding consumer protection and responsible gambling. The story highlights the tension between commercial optimisation through predictive analytics and the moral obligations of firms operating in high-risk industries, drawing scrutiny to how data-driven personalisation is utilised in sensitive sectors.

Employer demand for AI in Marketing skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.3x20211.9x20222.8x20234x20245.7x20258.2x202611x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

You must now navigate the ethical implications of using predictive analytics in consumer-facing roles. Professionals in marketing, data science, and compliance should prioritise understanding regulatory frameworks surrounding algorithmic bias and consumer protection. Skills in ethical AI governance and risk management are becoming critical differentiators. You should audit your current skill set for gaps in data ethics and regulatory compliance. Consider upskilling in areas that bridge technical AI capabilities with legal and ethical standards. Engaging with these topics proactively positions you as a leader who can balance innovation with responsibility. Ignoring this shift risks professional obsolescence as industries face increasing scrutiny over how they leverage customer data.

For this story, the fields that convert it into pay are AI in Marketing, Data Science, Compliance And Governance and Risk Management Strategies — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
AI in Marketing+22%Data Science+27%Compliance And Governa…+25%Risk Management Strate…+33%

This briefing is based on reporting by The New York Times on 19 Sep, 15:41. Read the original coverage →

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