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 / 633
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?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120