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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421