AI exposure: Athletes and Sports Competitors
Compete in athletic events.
Reading this score
computedAt 8.4% of weighted task load, Athletes and Sports Competitors sits at the 11th percentile, below the point where a job's centre of gravity has moved. 85.4% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is presence. Across this occupation's 9 tasks it averages 2.39 out of 3, the highest of the five friction dimensions. In plain terms, a person has to be the one present. This is the friction software does not erode. Where the point of the act is that a human is there, to care or to witness or to take responsibility in the room, automating the output misses what was being paid for.
The most exposed thing this job does is Represent teams or professional sports clubs, performing such activities as meeting with..., at 55.0%. The least is Receive instructions from coaches or other sports staff prior to events and discuss performance..., at 0.0%. A gap of 55.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within arts, design, entertainment, sports and media occupations, this one is less exposed than the median of 38.5% across the group's 40 roles, with 39 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 9 tasks, 1 are currently banded exposed, 0 assisted and 8 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 0.61 | 0-4 |
| Embodiment | 2.33 | 0-3 |
| Presence | 2.39 | 0-3 |
| Accountability | 0.28 | 0-3 |
| Context | 2.17 | 0-3 |
| Verification cost | 0.67 | 0-3 |
Task by task
9 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Represent teams or professional sports clubs, performing such activities as meeting with members of the media, making speeches, or participating in charity events. | 55.0% | 20.0% | 25.0% | 3.62 | exposed |
| Assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance. | 8.3% | 16.7% | 75.0% | 4.19 | untouched |
| Lead teams by serving as captain. | 8.3% | 16.7% | 75.0% | 3.44 | untouched |
| Maintain equipment used in a particular sport. | 7.1% | 5.4% | 87.5% | 4.16 | untouched |
| Attend scheduled practice or training sessions. | 0.0% | 0.0% | 100.0% | 4.15 | untouched |
| Maintain optimum physical fitness levels by training regularly, following nutrition plans, or consulting with health professionals. | 0.0% | 0.0% | 100.0% | 4.03 | untouched |
| Participate in athletic events or competitive sports, according to established rules and regulations. | 0.0% | 0.0% | 100.0% | 3.99 | untouched |
| Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions. | 0.0% | 0.0% | 100.0% | 3.92 | untouched |
| Receive instructions from coaches or other sports staff prior to events and discuss performance afterwards. | 0.0% | 0.0% | 100.0% | 3.88 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.