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?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142