IS WORK OVER?

Automation index

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

A clip and a shapefile come earlier. The map matching the ground do not.

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

Task comparison

GIS technician

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
Layers, projections and the geoprocess.
Estimate

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

18%52%+9.4
Quality, topology and the attribute error.
Estimate

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

16%40%+6.4
Field, GPS and what the satellite misses.
Estimate

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

16%22%+3.5
Publish, services and the viewer that dies.
Estimate

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

16%28%+4.5
The client, the deadline and the layer that does not exist.
Estimate

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

18%14%+2.5
That it matches the ground, and not mixing datums.
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

  • GIS layers
  • geoprocesses
  • projections
  • topology
  • field GPS
  • publish services
  • shapefiles
  • datums

Sources for this job· O*NET 15-1299.00· ESCO/ISCO 2165

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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