IS WORK OVER?

Automation index

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

A borehole and a 3D model come earlier. Calling whether you can found there do not.

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

Task comparison

Geological 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
Boreholes, lab and the geotech profile.
Estimate

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

16%44%+7
Field, outcrop and what the map misses.
Estimate

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

18%16%+2.9
Foundations, slopes and the risk report.
Estimate

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

16%36%+5.8
Tunnel, water and the support.
Estimate

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

16%28%+4.5
The works that move, and stop or go.
Estimate

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

18%14%+2.5
Call the ground, and sign the report.
Estimate

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

16%12%+1.9
Total100%25%

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

Skills and activities

  • boreholes
  • geotech profile
  • foundations
  • slopes
  • tunnel support
  • outcrops
  • geological risk
  • ground reports

Sources for this job· O*NET 17-2151.00· ESCO/ISCO 2146

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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