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Occupation

Geological Technicians, Except Hydrologic Technicians

Assist scientists or engineers in the use of electronic, sonic, or nuclear measuring instruments in laboratory, exploration, and production activities to obtain data indicating resources such as metallic ore, minerals, gas, coal, or petroleum. Analyze mud and drill cuttings. Chart pressure, temperature, and other characteristics of wells or bore holes.

66 AI exposure
35 Human advantage
54 Market demand
52 AI leverage

Is Geological Technicians, Except Hydrologic Technicians a safe career from AI?

Geological Technicians, Except Hydrologic Technicians scores 66 out of 100 for AI exposure, around the middle of the US labor market. Parts of this work overlap with what AI does well and parts do not.

Its human advantage score is 35, which is low. Most of this role can be done through a screen, and that is the half of the labor market AI has reached first. Market demand scores 54 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment roughly flat over ten years.

What Geological Technicians, Except Hydrologic Technicians pay

The median wage is $48,390 a year. The lower quarter earns under $39,200 and the upper quarter over $64,470. About 9,710 people do this work in the United States.

Where Geological Technicians, Except Hydrologic Technicians can go next

Occupations that share most of what this job already requires, ranked by how much carries over.

Anesthesiologist Assistants 82% of the skills carry over $133k median
Nuclear Technicians 82% of the skills carry over $104k median
Airline Pilots, Copilots, and Flight Engineers 74% of the skills carry over $227k median
Nurse Anesthetists 72% of the skills carry over $223k median

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Where this comes from

Work content and transitions from O*NET, the US Department of Labor's occupational database. Wages and employment projections from the Bureau of Labor Statistics. AI exposure from published research measuring which occupations current AI capabilities overlap with. None of it is a forecast, and none of these numbers are ours: they are public data, put next to each other.

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