Automation index
How much of a Ski instructor’s job can AI already do?
A turn method comes earlier. Getting down the run without taking anyone with them do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ski instructor
19%
AI can already do 19% of this job.
#522 / 643
View rankingSki instructor
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 |
|---|---|---|---|
Level, kit and the group.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Run, the turn and the one who cuts across.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Fall, the one who cries and getting them up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Snow, the storm and closing in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The queue, the pass and not losing a child.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Down whole, and taking nobody with them.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
- turns
- runs
- falls
- snow groups
- the pass
- the storm
- get them up
- ski levels
Sources for this job· O*NET 39-9032.00· 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