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?

22%

AI can already do 22% of this job.

#324 / 633

Botanist

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Field, the population and not collecting extra. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Survey, the habitat and the one that is lost. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Report, the works and the one who will not hear. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The glasshouse, the culture and not mixing labels. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Identify, and not killing the population. Estimate No 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

IS WORK OVER?

17%

#588 / 633

Air traffic controller

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
Plan sequences and read traffic forecasts. Estimate No public source provides a precise figure. This is our estimate.	18%	32%	+5.8
Strips, tickets and inter-unit coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Tactical control of aircraft on frequency. Estimate No public source provides a precise figure. This is our estimate.	22%	6%	+1.3
Resolve conflicts, radio failures and weather. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Train and supervise a controller under instruction. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Reports, incidents and shift fatigue. Estimate No public source provides a precise figure. This is our estimate.	14%	15%	+2.1
Total	100%		17%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low