Geoscientists, Except Hydrologists and Geographers

Locate and review research articles or environmental, historical, or technical reports.

AI: Fully automatable - By 2025 AI tools can effectively locate, retrieve and summarize research articles and technical reports at scale, automating literature review and initial synthesis tasks.

Analyze and interpret geological, geochemical, or geophysical information from sources such as survey data, well logs, bore holes, or aerial photos.

AI: Partial - AI can analyze and interpret geological and geophysical datasets (e.g., imagery, well logs) and propose plausible interpretations, but final interpretation, risk assessment, and ground-truthing require human geoscientists.

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.

AI: Partial - AI and robotics can assist planning and remote sensing, but physical field sampling, drilling and the on-site decision-making they require are not fully automatable by 2025.

Prepare geological maps, cross-sectional diagrams, charts, or reports concerning mineral extraction, land use, or resource management, using results of fieldwork or laboratory research.

AI: Partial - GIS and generative tools can produce maps, cross-sections and reports from data, but professional interpretation, quality control and legal/ethical responsibility still typically require human oversight.

Analyze and interpret geological data, using computer software.

AI: Partial - AI-driven software can perform many analyses and flag interpretations, yet complex, ambiguous geological interpretation and validation still need expert judgment.

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.

AI: Partial - AI can aid laboratory analysis and classification, but the physical collection, handling and many specialized examinations of geologic samples remain largely human-led.

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.

AI: Partial - Automated hydrological models and data analysis can assess groundwater movement, but site-specific data collection, regulatory context and remedial decisions require human expertise.

Locate and estimate probable natural gas, oil, or mineral ore deposits or underground water resources, using aerial photographs, charts, or research or survey results.

AI: Partial - Machine learning can identify prospective targets from imagery and surveys, however reserve estimation and high-stakes exploration decisions still need field confirmation and specialist interpretation.

Design geological mine maps, monitor mine structural integrity, or advise and monitor mining crews.

AI: Partial - AI can generate mine maps from survey data and continuously monitor sensor streams for integrity issues, but on-site decisions, complex geotechnical interpretation, and crew oversight still require humans.

Communicate geological findings by writing research papers, participating in conferences, or teaching geological science at universities.

AI: Partial - AI can draft papers, slides and teaching materials and help prepare conference content, but original research, presenting, mentoring and classroom instruction continue to rely on human experts.

Advise construction firms or government agencies on dam or road construction, foundation design, land use, or resource management.

AI: Partial - AI can model soils, foundations, hydrology, and land-use scenarios and produce design recommendations, but legal responsibility, site-specific engineering judgment, and multidisciplinary coordination need human experts.

Measure characteristics of the Earth, such as gravity or magnetic fields, using equipment such as seismographs, gravimeters, torsion balances, or magnetometers.

AI: Partial - Automated sensors and logging systems can record many geophysical measurements, but instrument deployment, calibration, troubleshooting and complex field measurements still require skilled technicians.

Conduct geological or geophysical studies to provide information for use in regional development, site selection, or development of public works projects.

AI: Partial - AI can run studies and generate analyses to support regional development and site selection, but integrative judgment, stakeholder engagement and accountability for public works decisions remain human responsibilities.

Identify risks for natural disasters, such as mudslides, earthquakes, or volcanic eruptions.

AI: Partial - AI can analyze remote sensing, seismic, and historical data to flag areas at risk and run predictive models, but expert field validation and local judgment remain essential.

Inspect construction projects to analyze engineering problems, using test equipment or drilling machinery.

AI: Partial - AI-equipped drones and sensor systems can inspect and collect data and identify engineering problems, but operating test equipment, performing drilling, and making final safety assessments require human inspectors.

Develop applied software for the analysis and interpretation of geological data.

AI: Partial - AI can write, prototype, and test much of the analysis software and automate routine data processing, but building production-grade, validated, domain-specific applications and integrating them into operational workflows still needs experienced engineers.

Identify deposits of construction materials suitable for use as concrete aggregates, road fill, or other applications.

AI: Partial - AI can process geological maps, remote sensing, and sampling datasets to locate candidate deposits for construction materials, but final suitability requires field sampling, lab testing, and regulatory approval by humans.

Test industrial diamonds or abrasives, soil, or rocks to determine their geological characteristics, using optical, x-ray, heat, acid, or precision instruments.

AI: Partial - AI can analyze instrument outputs (optical, X-ray, etc.) and automate parts of laboratory workflows, but sample preparation, instrument maintenance, and authoritative lab certification typically need human technicians.

Provide advice on the safe siting of new nuclear reactor projects or methods of nuclear waste management.

AI: Partial - AI can model geological hazards, evaluate siting scenarios, and analyze waste‑host properties, but nuclear siting and waste management require certified expert judgment, regulatory review, and political decisions.

Determine ways to mitigate the negative consequences of mineral dust dispersion.

AI: Partial - AI can simulate dust generation and transport and recommend mitigation strategies, but implementing site-specific measures and evaluating social and environmental tradeoffs requires human planning and governance.

Research geomechanical or geochemical processes to be used in carbon sequestration projects.

AI: Partial - AI can run simulations, synthesize literature, and generate hypotheses about geomechanical and geochemical processes for sequestration, but experimental validation and field studies remain necessary.

Research ways to reduce the ecological footprint of increasingly prevalent megacities.

AI: Partial - AI can model urban systems, optimize land‑use and infrastructure options, and suggest interventions to reduce megacity footprints, but implementation and social/policy tradeoffs need human leadership.

Review work plans to determine the effectiveness of activities for mitigating soil or groundwater contamination.

AI: Partial - AI can review plans against standards, simulate remediation outcomes, and flag likely deficiencies, but determining real‑world effectiveness requires field verification and professional sign‑off.

Study historical climate change indicators found in locations such as ice sheets or rock formations to develop climate change models.

AI: Partial - AI can analyze proxy datasets and build paleoclimate models from ice, sediment, and rock data, but sample collection, laboratory analyses, and expert interpretation limit full automation.

Locate potential sources of geothermal energy.

AI: Partial - AI can analyze heat‑flow, seismic, and well‑log data to highlight geothermal prospects and estimate resource potential, but confirmation requires drilling and reservoir testing.

Identify possible sites for carbon sequestration projects.

AI: Partial - AI can screen geological and reservoir data to identify candidate carbon‑sequestration sites and model storage behavior, yet site qualification requires subsurface testing and regulatory approval.

Identify new sources of platinum group elements for industrial applications, such as automotive fuel cells or pollution abatement systems.

AI: Partial - AI can mine geochemical, geophysical, and remote‑sensing datasets to prioritize target areas for platinum‑group element exploration but cannot substitute for drilling and ground truthing.

Develop ways to capture or use gases burned off as waste during oil production processes.

AI: Partial - AI can design and optimize gas capture/use schemes and assess economics and emissions tradeoffs but cannot perform hardware prototyping or field deployment on its own.

Develop strategies for more environmentally friendly resource extraction and reclamation.

AI: Partial - AI can analyze data, simulate reclamation strategies, and propose greener extraction approaches but cannot replace field validation, engineering judgment, and stakeholder engagement.

Collaborate with medical or health researchers to address health problems related to geological materials or processes.

AI: Partial - AI can synthesize literature, identify epidemiological links, and suggest research hypotheses connecting geology and health, but collaborative study design, clinical validation, and ethical oversight require human researchers.

Determine methods to incorporate geomethane or methane hydrates into global energy production or evaluate the potential environmental impacts of such incorporation.

AI: Partial - AI can model extraction methods, production scenarios, and environmental impacts for geomethane/methane hydrates, but engineering development, large-scale testing, and policy decisions need human-led programs and field trials.