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 / 623
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?
Actuary
32%
#25 / 623
View rankingActuary
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 |
|---|---|---|---|
Run models, reserves and sensitivities.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 55% | +13.2 |
Draft technical reports and memos.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Choose assumptions, tables and criteria.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Explain to the board and the supervisor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Validate data quality and bias.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Signed opinion and professional liability.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 18% | +2.2 |
| Total | 100% | 32% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Run models, reserves and sensitivities
- Draft technical reports and memos
- Choose assumptions, tables and criteria
- Explain to the board and the supervisor
- Validate data quality and bias
- Signed opinion and professional liability
- actuario
- actuary
Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120