Automation index
How much of a Prompt engineer’s job can AI already do?
A prompt and an eval come earlier. Knowing when the model lies, and what must not be automated, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prompt engineer
34%
AI can already do 34% of this job.
#21 / 683
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
IS WORK OVER?
University careers adviser
27%
#181 / 683
View rankingUniversity careers adviser
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 |
|---|---|---|---|
Workshop, the CV and the letter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Appointment, the one who does not know and the one who wants everything.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Placement, the firm and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fair, the contact and the one who will not approach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dean, insertion and not dressing the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A plan, and not panic.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- university CVs
- cover letters
- placements
- jobs fairs
- graduate insertion
- careers appointments
- not sell smoke
- workshops
Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423