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.
#494 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512