Arts & Media · SOC 27-2022
AI-powered performance analytics are a major new tool for coaches, but mentoring athletes and making in-game decisions stays deeply human.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI analytics platforms are already embedded in elite coaching rooms; coaches who leverage these tools for preparation while focusing on athlete relationships and in-game leadership will thrive through the decade.
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Arts & Media
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AI job-risk card
Coaches and Scouts is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Coaches and Scouts is 35/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
35 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Analyzing opponent strengths and weaknesses using video, Evaluating athlete skill levels for selection and recruitment, Planning initial season strategies using performance data. Harder to automate: Adapting coaching style to individual athlete needs, Counseling athletes on personal and academic challenges, Leading team culture and maintaining group cohesion.
Lean into Sports analytics and video review tools, Athlete development and mentorship, Strength and conditioning knowledge, Team psychology and leadership. Consider roles such as Head coach / program director or Athletic director or Sports performance scientist.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.