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 / 643
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?
Pharmacovigilance officer
27%
#186 / 643
View rankingPharmacovigilance 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 |
|---|---|---|---|
Case, the file and MedDRA.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Seriousness, the link and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
File, the AEMPS deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Signal, the aggregate and not playing it down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The doctor, the ADR and not arguing the story.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
If it is serious, call it. And not staying quiet.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
- ADR
- MedDRA
- AEMPS
- safety signals
- seriousness
- causality
- case files
- regulatory deadlines
Sources for this job· O*NET 29-1051.00· ESCO/ISCO 2262