IS WORK OVER?

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

Geographer

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.

TaskShareAIPoints
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
Total100%28%

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

Skills and activities

  • read territory
  • run GIS
  • impact reports
  • land use
  • fieldwork
  • spatial planning
  • working maps
  • planning objections

Sources for this job· O*NET 19-3092.00· ESCO/ISCO 2632

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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