Athletes and sports competitors
Physical, social, or oversight-heavy work that AI augments rather than replaces.
SOC 27-2021 · Entertainment And Sports
Signal composition
how the 0-100 score is assembled
By seniority
multiplicative adjustment from category curve
Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.
Task-level analysis
scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance
Study opponents' tendencies and weaknesses to gain competitive advantage
AI excels at pattern recognition in game footage, statistical analysis of opponent behavior, and identifying tactical weaknesses from large datasets; systems like those used in professional sports already automate much of this scouting work.
BLS evidence: To gain a competitive advantage, athletes also study their opponents' tendencies and weaknesses.
Review videos to critique and improve performance and technique
AI video analysis systems can already identify technique flaws, track biomechanics, compare to optimal form, and generate detailed performance reports; human athletes review AI-generated insights rather than manually analyzing frame-by-frame.
BLS evidence: They review videos to critique and improve their performance and technique.
Assess performance after each event and identify strengths and weaknesses
AI can process performance metrics, compare against benchmarks, identify statistical strengths/weaknesses, and generate assessment reports; athletes increasingly rely on automated analytics platforms for post-event evaluation.
BLS evidence: Assess performance after each event and identify their strengths and weaknesses.
Keep sports equipment in good condition
Equipment maintenance involves physical inspection, cleaning, repair, and adjustment requiring manual dexterity and tactile assessment; while AI could diagnose some issues, the hands-on maintenance work remains manual.
BLS evidence: Keep their sports equipment in good condition.
Work with fitness trainers to gain muscle, stamina, and prevent injury
Requires in-person collaboration between trainer and athlete with hands-on adjustments, physical spotting, real-time form correction, and personalized injury prevention that depends on human touch and judgment in dynamic training environments.
BLS evidence: Some athletes work regularly with fitness trainers and instructors to gain muscle and stamina and to prevent injury.
Take instructions regarding strategy and tactics from coaches during practices and competitions
Receiving and processing coaching instructions during live competition requires human comprehension and immediate physical translation into athletic performance; AI cannot replace the athlete's role as instruction recipient and executor.
BLS evidence: Take instructions regarding strategy and tactics from coaches and other sports staff during practices and competitions.
Exercise, train, and follow special diets to maintain peak physical condition
Physical training and exercise require embodied execution in dynamic environments; while AI can generate diet plans and workout schedules, the athlete must physically perform the activities and maintain discipline.
BLS evidence: Exercise, train, and follow special diets to stay in the best physical condition.
Follow the rules and regulations of the sport during competitions
Rule-following during competition requires real-time physical execution and judgment in fluid game situations; AI cannot substitute for the athlete's physical presence and in-the-moment compliance.
BLS evidence: Athletes and sports competitors must understand the strategies involved in their sport while following its rules and regulations.
Practice to develop and improve athletic skills and techniques
Demands physical presence and execution of complex motor skills with real-time proprioceptive feedback in varied conditions; AI can provide analytics but cannot perform the physical practice itself.
BLS evidence: Athletes spend most days practicing and improving their skills under the guidance of a coach or a sports instructor.
Compete in organized, officiated sporting events to entertain spectators
Requires real-time physical execution in unpredictable competitive environments with fine motor control, spatial awareness, and split-second decision-making that current robotics and AI cannot replicate at professional athletic levels.
BLS evidence: Athletes and sports competitors participate in organized, officiated sporting events to entertain spectators.
Task heatmap
automation score by task, sorted by weighted contribution
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External signals and sources
category-level priors and BLS fields that feed the four non-task signals
- Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
- BLS projected outlook: Faster than average (5%)
- Indeed demand signal (monthly refresh pending)
- BLS typical entry-level education: No formal educational credential
- Credential trend signal (annual refresh)
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