Automation index
How much of a Swimming coach’s job can AI already do?
A split comes earlier. Swimming the set without drowning in load do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Swimming coach
19%
AI can already do 19% of this job.
#504 / 643
View rankingSwimming coach
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 |
|---|---|---|---|
Sets, splits and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Pool, the stroke and the one who stops.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Meet, the start and the one who blows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shoulder, load and not rushing the taper.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Parents, the clock and not humiliating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Swim the set, and not drowning in load.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- sets
- splits
- stroke
- taper
- the start
- the pool
- the clock
- water load
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
IS WORK OVER?
Development cooperation officer
26%
#217 / 643
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635