Automation index
How much of a Table official’s job can AI already do?
A scoresheet comes earlier. Clock, fouls and not wrecking the result do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Table official
22%
AI can already do 22% of this job.
#346 / 633
View rankingTable official
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 |
|---|---|---|---|
Sheet, clock and the protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fouls, the warning and the one who argues.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Timeout, the scoreboard and not jumping it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The referee, the table and not contradicting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The crowd, the shove and keeping calm.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
A clean result, and the sheet signed.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- scoresheets
- clock
- fouls
- timeouts
- scoreboard
- the table
- protocol
- warnings
Sources for this job· O*NET 27-2023.00· ESCO/ISCO 3422
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120