Automation index

How much of a Climatologist’s job can AI already do?

A series comes earlier. Attributing the change without selling the easy headline do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#140 / 623

Climatologist

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
Series, homogenise and the gap. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Models, scenarios and the uncertainty. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Report, the headline and not selling the easy one. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Field, the station and the one that moves. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The politician, the figure and not staying quiet. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Attribute, and not selling the headline. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

28%

#109 / 623

BIM modeller

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, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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