Automation index
How much of a Referee’s job can AI already do?
A report and a VAR protocol come earlier. Giving a penalty in front of 40,000 people does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Referee
15%
AI can already do 15% of this job.
#618 / 633
View rankingReferee
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Reports, match sheets and clip review.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Desk fitness prep and the laws.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Run the match on the field.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 5% | +1.3 |
Handle protests, VAR and pressure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Travel, appointments and fatigue.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Judgment, consistency and authority.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Reports, match sheets and clip review
- Desk fitness prep and the laws
- Run the match on the field
- Handle protests, VAR and pressure
- Travel, appointments and fatigue
- Judgment, consistency and authority
- arbitro
- referee
- colegiado
Sources for this job· O*NET 27-2023.00· ESCO/ISCO 3422
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514