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

IS WORK OVER?

25%

AI can already do 25% of this job.

#238 / 633

Geological engineer

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.

Task	Share	AI	Points
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
Total	100%		25%

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

IS WORK OVER?

21%

#439 / 633

Network technician

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.

Task	Share	AI	Points
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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