managing ai risks in professional sport: q&a guide for athletes, agents and clubs

AI is now outpacing traditional search engines as the first point of reference. Which means your first impression is no longer shaped by a Google result — it is shaped by an algorithm.

Over the past year, EQNX has been monitoring how major AI language models respond when queried about professional athletes — tracking what sources they draw on, how they weight information, and what picture they present. The findings are consistent and concerning.

This guide maps the AI misrepresentation risk landscape for athletes, agents and sports organisations, and sets out the governance structures that need to be in place before an incident occurs.

Topics covered: AI-driven image misuse and deepfakes · how AI models construct athlete narratives · access control and social media governance · immediate response framework · prevention and governance structures.

Next
Next

The Champions League's Visibility Trap: Why Small-Market Clubs Waste Their Biggest Moments