Will AI replace Coaches and Scouts?
Most of the work in Coaches and Scouts still leans on things AI struggles with — research rates its theoretical AI reach at only ~30%, and real-world use lower still.
O*NET-SOC 27-2022
How your 17 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~30%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~30%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
- Adjust coaching techniques, based on the strengths and weaknesses of athletes.
- Plan, organize, and conduct practice sessions.
- Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours.
- Plan strategies and choose team members for individual games or sports seasons.
- Monitor the academic eligibility of student athletes.
- Analyze the strengths and weaknesses of opposing teams to develop game strategies.
- Evaluate athletes' skills and review performance records to determine their fitness and potential in a particular area of athletics.
- Keep abreast of changing rules, techniques, technologies, and philosophies relevant to their sport.
- Instruct individuals or groups in sports rules, game strategies, and performance principles, such as specific ways of moving the body, hands, or feet, to achieve desired results.
- Counsel student athletes on academic, athletic, and personal issues.
- Coordinate travel arrangements and travel with team to away contests.
- Monitor athletes' use of equipment to ensure safe and proper use.
- Explain and enforce safety rules and regulations.
- Contact the parents of players to provide information and answer questions.
- Arrange and conduct sports-related activities, such as training camps, skill-improvement courses, clinics, and pre-season try-outs.
- Explain and demonstrate the use of sports and training equipment, such as trampolines or weights.
- Perform activities that support a team or a specific sport, such as participating in community outreach activities, meeting with media representatives, and appearing at fundraising events.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.