Automation index
How much of a Botanist’s job can AI already do?
A digital herbarium comes earlier. Identifying in the field without killing the population do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Botanist
22%
AI can already do 22% of this job.
#324 / 633
View rankingBotanist
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 |
|---|---|---|---|
Herbarium, keys and the specimen.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the population and not collecting extra.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Survey, the habitat and the one that is lost.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the works and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The glasshouse, the culture and not mixing labels.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Identify, and not killing the population.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- herbarium
- keys
- populations
- botanical surveys
- habitats
- collect
- labels
- the field
Sources for this job· O*NET 19-1022.00· ESCO/ISCO 2131
IS WORK OVER?
Window installer
19%
#502 / 633
View rankingWindow installer
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 |
|---|---|---|---|
Measure openings, subframe and the order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Set, plumb and the missing packer.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Foam, seal and the sweating lintel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fittings, adjust and the sash that rubs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The lived-in house and not leaving the room freezing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it closes, and not trapping the lintel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- measure openings
- subframes
- plumb windows
- seal lintels
- adjust sashes
- foam
- packers
- window fittings
Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125