Automation index
How much of a Diving instructor’s job can AI already do?
A dive briefing comes earlier. Coming up whole without forgetting to breathe do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Diving instructor
19%
AI can already do 19% of this job.
#503 / 633
View rankingDiving 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 |
|---|---|---|---|
Briefing, tables and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Water, the student and the one who panics.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Drills, the regulator and the one who is out of air.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Log, certification and not giving the star away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The current, the vis and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Come up whole, and not skipping the stop.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
- dive briefing
- tables
- regulator
- certify divers
- current
- visibility
- stops
- nervous students
Sources for this job· O*NET 25-3021.00· 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