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

Reliability 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
Data, MTBF and the Pareto.
Estimate

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

18%48%+8.6
Failure, the cause and not patching twice.
Estimate

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

16%40%+6.4
Spare, the critical and not hiding it.
Estimate

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

16%22%+3.5
RCM, the plan and the one that is not done.
Estimate

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

16%28%+4.5
Production, the rush and not running the tired one.
Estimate

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

18%14%+2.5
That it does not drop at three, and not hiding the spare.
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

  • MTBF
  • Pareto
  • root causes
  • critical spares
  • RCM
  • failures
  • maintenance plans
  • not patch twice

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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