Automation index
How much of a Youth educator’s job can AI already do?
An incident note comes earlier. Being there at night so nobody absconds do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Youth educator
21%
AI can already do 21% of this job.
#414 / 633
View rankingYouth educator
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 |
|---|---|---|---|
Plan, notes and the young person’s file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Shift, holding and the attempted abscond.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Workshop, homework and the hour that is not a fight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Family, youth prosecution and the judge.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Street, leisure and the one who is late back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The bond, and not losing the kid.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- educate young people
- residential shifts
- hold incidents
- incident notes
- education workshop
- youth court
- prevent absconding
- night support
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635
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