Automation index
How much of a Grants officer’s job can AI already do?
A form comes earlier. Justifying without giving the money back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Grants officer
27%
AI can already do 27% of this job.
#185 / 623
View rankingGrants 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 |
|---|---|---|---|
Call, form and the deadline.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Report, indicators and not inflating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Justify, invoices and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Query, the silence and answering.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The project, the cut and not promising extra.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Justify, and not giving it back.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
- calls
- forms
- reports
- justify invoices
- indicators
- queries
- grant deadlines
- clawbacks
Sources for this job· O*NET 13-1131.00· ESCO/ISCO 2422
IS WORK OVER?
Prompt engineer
34%
#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