# Athletes and Sports Competitors

> Compete in athletic events.

- **SOC code:** 27-2021.00
- **Canonical URL:** https://singulariki.com/roles/role-27-2021-00
- **Also known as:** Baseball Player, Golf Professional, Hockey Player, Race Car Driver, Baseball Pitcher, Basketball Player, Major League Baseball Player, Minor League Baseball Player
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance.
- Maintain equipment used in a particular sport.
- Attend scheduled practice or training sessions.
- Maintain optimum physical fitness levels by training regularly, following nutrition plans, or consulting with health professionals.
- Participate in athletic events or competitive sports, according to established rules and regulations.
- Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions.
- Receive instructions from coaches or other sports staff prior to events and discuss performance afterwards.
- Represent teams or professional sports clubs, performing such activities as meeting with members of the media, making speeches, or participating in charity events.
- Lead teams by serving as captain.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Oral Comprehension _(ability)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Static Strength _(ability)_
- Stamina _(ability)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Administration and Management _(knowledge)_
- English Language _(knowledge)_
- Coordination _(transferable_skill)_
- Explosive Strength _(ability)_

**Skills in demand:**
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Adobe Photoshop _(hot technology)_
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle PeopleSoft _(hot technology)_
- Email software
- Motion analysis software
- Twitter
- Web browser software
- YouTube

## AI exposure & outlook

- **AI task-overlap index:** 24th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 1st percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 74th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 38th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.5% growth (About average); 2.1k annual openings; 19.1k → 20.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $62,360; 14,370 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Autonomy median:** 4.0 (higher = AI acts more independently).

**Tasks most handed to AI here:**
- Assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance. _(0.5% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-27-2021-00_