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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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