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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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