How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Identify risks for natural disasters, such as mudslides, earthquakes, or volcanic eruptions.81
- Review environmental, historical, or technical reports and publications for accuracy.80
- Investigate the composition, structure, or history of the Earth's crust through the collection, examination, measurement, or classification of soils, minerals, rocks, or fossil remains.79
- Review work plans to determine the effectiveness of activities for mitigating soil or groundwater contamination.79
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Assess ground or surface water movement to provide advice on issues, such as waste management, route and site selection, or the restoration of contaminated sites.01
- Design geological mine maps, monitor mine structural integrity, or advise and monitor mining crews.02
- Plan or conduct geological, geochemical, or geophysical field studies or surveys, sample collection, or drilling and testing programs used to collect data for research or application.03
- Inspect construction projects to analyze engineering problems, using test equipment or drilling machinery.04
- Communicate geological findings by writing research papers, participating in conferences, or teaching geological science at universities.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Hydrologists
Closely related work
Compare these careers →Industrial Ecologists
Closely related work
Compare these careers →Conservation Scientists
Closely related work
Compare these careers →Soil and Plant Scientists
Closely related work
Compare these careers →Mining and Geological Engineers, Including Mining Safety Engineers
Related work
Compare these careers →Biologists
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
