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?
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