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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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