The New York Times · 19 Sep, 09:00 · Artificial Intelligence briefing

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

DraftKings employs artificial intelligence to identify gamblers most susceptible to financial loss, enabling targeted marketing strategies that exploit behavioural vulnerabilities.

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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 gamblers most susceptible to financial loss, enabling targeted marketing strategies that exploit behavioural vulnerabilities. This approach raises significant ethical concerns regarding consumer protection and corporate responsibility. The report highlights how data-driven personalisation can cross into manipulative territory, prioritising profit over user welfare. Professionals must understand the intersection of advanced analytics and ethical boundaries in digital engagement. This case study illustrates the potential misuse of predictive modelling in entertainment sectors, prompting broader industry discussions on regulation and moral standards in algorithmic decision-making processes.

Employer demand for AI in Gaming skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

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This development signals a critical shift in how data ethics impacts career trajectories. As scrutiny on AI-driven targeting intensifies, skills in ethical AI governance and regulatory compliance become indispensable. You must prioritise understanding the legal frameworks surrounding consumer data protection. Professionals in marketing and data science should actively seek roles emphasising responsible innovation. Upskill in compliance and ethical risk management to distinguish yourself. Ignoring these emerging standards risks professional obsolescence as industries face stricter oversight. Prepare to advise organisations on balancing profitability with moral responsibility, ensuring your expertise aligns with evolving societal expectations and legal requirements for transparent algorithmic practices.

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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

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