AI exposure: Umpires, Referees, and Other Sports Officials
Officiate at competitive athletic or sporting events. Detect infractions of rules and decide penalties according to established regulations. Includes all sporting officials, referees, and competition judges.
Reading this score
computedAt 25.1% of weighted task load, Umpires, Referees, and Other Sports Officials sits at the 47th percentile, below the point where a job's centre of gravity has moved. 50.9% 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 context. Across this occupation's 16 tasks it averages 2.03 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Verify scoring calculations before competition winners are announced, at 80.0%. The least is Inspect game sites for compliance with regulations or safety requirements, at 6.7%. A gap of 73.3% 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 32 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 16 tasks, 3 are currently banded exposed, 9 assisted and 4 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 | 2.12 | 0-4 |
| Embodiment | 1.50 | 0-3 |
| Presence | 1.69 | 0-3 |
| Accountability | 1.19 | 0-3 |
| Context | 2.03 | 0-3 |
| Verification cost | 1.41 | 0-3 |
Task by task
16 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Verify scoring calculations before competition winners are announced. | 80.0% | 20.0% | 0.0% | 4.40 | exposed |
| Verify credentials of participants in sporting events, and make other qualifying determinations, such as starting order or handicap number. | 80.0% | 20.0% | 0.0% | 4.10 | exposed |
| Compile scores and other athletic records. | 73.3% | 26.7% | 0.0% | 4.12 | exposed |
| Officiate at sporting events, games, or competitions, to maintain standards of play and to ensure that game rules are observed. | 23.3% | 26.7% | 50.0% | 4.95 | assisted |
| Resolve claims of rule infractions or complaints by participants and assess any necessary penalties, according to regulations. | 23.3% | 26.7% | 50.0% | 4.53 | assisted |
| Signal participants or other officials to make them aware of infractions or to otherwise regulate play or competition. | 23.3% | 26.7% | 50.0% | 4.39 | assisted |
| Confer with other sporting officials, coaches, players, and facility managers to provide information, coordinate activities, and discuss problems. | 23.3% | 26.7% | 50.0% | 4.00 | assisted |
| Start races and competitions. | 23.3% | 26.7% | 50.0% | 4.27 | assisted |
| Keep track of event times, including race times and elapsed time during game segments, starting or stopping play when necessary. | 23.3% | 26.7% | 50.0% | 4.00 | assisted |
| Direct participants to assigned areas, such as starting blocks or penalty areas. | 23.3% | 26.7% | 50.0% | 4.00 | assisted |
| Inspect sporting equipment or examine participants to ensure compliance with event and safety regulations. | 20.0% | 30.0% | 50.0% | 4.18 | assisted |
| Report to regulating organizations regarding sporting activities, complaints made, and actions taken or needed, such as fines or other disciplinary actions. | 20.0% | 30.0% | 50.0% | 4.00 | assisted |
| Teach and explain the rules and regulations governing a specific sport. | 8.3% | 16.7% | 75.0% | 4.33 | untouched |
| Judge performances in sporting competitions to award points, impose scoring penalties, and determine results. | 8.3% | 16.7% | 75.0% | 4.86 | untouched |
| Research and study players and teams to anticipate issues that might arise in future engagements. | 8.3% | 16.7% | 75.0% | 2.93 | untouched |
| Inspect game sites for compliance with regulations or safety requirements. | 6.7% | 18.3% | 75.0% | 4.62 | 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.