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 / 623
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?
Data engineer
31%
#36 / 623
View rankingData 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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511