Automation index

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

A map and a layer clip come earlier. Reading the territory and signing off the plan do not.

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

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#59 / 623

Geographer

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
GIS, layers, clips and working maps. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Impact reports, demography and land use. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Fieldwork, interviews and checking what the map says. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Planning, objections and work with the council. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Explain, map for non-experts and teaching. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The territorial opinion and owning the report. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		28%

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

IS WORK OVER?

23%

#301 / 623

Home-automation installer

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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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