Share and intensity of work current AI systems can materially affect.
SOC 17-2151
Mining and Geological Engineers AI displacement risk
Mining and geological engineers design extraction plans, select methods, and inspect mines for safety. Autonomous haul trucks and drilling systems now run production at large sites, but mine design, ground-control judgment, and the safety inspection of working areas remain licensed engineering work.
Likely potential for exposed tasks to move to software after workflow integration.
Automation changes production crews first; the engineers who design autonomous operations are in greater demand, not less. Underground conditions and regulatory sign-off on mine plans keep professional accountability human.
Distribution
Where Mining and Geological Engineers sits across 620 tracked roles
Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
18 O*NET task statements matched to SOC 17-2151. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $106,220 (May 2025, US national). The latest BLS row matched SOC 17-2151.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Mining and Geological Engineers
SOC 17-2151 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Mining and Geological Engineers
The current evidence import matched 18 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks18
SOC17-2151
- Core task / ID 3569
Prepare technical reports for use by mining, engineering, and management personnel.
- Core task / ID 3561
Inspect mining areas for unsafe structures, equipment, and working conditions.
- Core task / ID 3568
Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and deposit characteristics.
- Core task / ID 3562
Select locations and plan underground or surface mining operations, specifying processes, labor usage, and equipment that will result in safe, economical, and environmentally sound extraction of minerals and ores.
- Core task / ID 3565
Prepare schedules, reports, and estimates of the costs involved in developing and operating mines.
- Core task / ID 3566
Monitor mine production rates to assess operational effectiveness.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Select extraction methods based on safety and cost
Exposure 40, automation 18%, augmentation 60%.
O*NET evidence: Select or develop mineral location, extraction, and production methods, based on factor... (ID 3568)
Inspect mining areas for unsafe conditions
Exposure 26, automation 10%, augmentation 50%.
O*NET evidence: Inspect mining areas for unsafe structures, equipment, and working conditions. (ID 3561)
Prepare technical reports and cost estimates
Exposure 56, automation 30%, augmentation 64%.
O*NET evidence: Prepare schedules, reports, and estimates of the costs involved in developing and opera... (ID 3565)
Monitor mine production rates for effectiveness
Exposure 46, automation 24%, augmentation 58%.
O*NET evidence: Monitor mine production rates to assess operational effectiveness. (ID 3566)
TaskExposureAutomationAugmentation
Select extraction methods based on safety and cost4018%60%
Inspect mining areas for unsafe conditions2610%50%
Prepare technical reports and cost estimates5630%64%
Monitor mine production rates for effectiveness4624%58%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowMine Operations Manager
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 124.
- Lead site operations
- Own production targets
- Manage autonomous fleets
role redesign
LowMine Safety Engineer
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 112.
- Specialize in ground control
- Lead regulatory inspections
- Own ventilation plans
Comparison guides
Compare the next move before you commit
6-12 months
Mining and Geological Engineers to Mine Operations Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Mining and Geological Engineers into Mine Operations Manager.
6-12 months
Mining and Geological Engineers to Mine Safety Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Mining and Geological Engineers into Mine Safety Engineer.
What the AI risk score means for Mining and Geological Engineers
The displacement pressure score for Mining and Geological Engineers is 24. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare technical reports and cost estimates carries 30% automation pressure, while Prepare technical reports and cost estimates carries 64% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $106,220 (May 2025, US national). Employment context: Mine design role as autonomous haulage scales up. Typical education: Bachelor degree in mining or geological engineering.
Wage vulnerability is 24, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Autonomous haulage changes crews, not designers
- Mine-plan sign-off stays professional
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Mining and Geological Engineers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Mine design
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety inspection
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Cost estimating
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Autonomous fleet planning
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Mine Operations Manager, such as lead site operations.
- By 90 days, compare internal openings and external postings for Mine Operations Manager or Mine Safety Engineer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Mining and Geological Engineers
Will AI replace Mining and Geological Engineers?
Mining and geological engineers design extraction plans, select methods, and inspect mines for safety. Autonomous haul trucks and drilling systems now run production at large sites, but mine design, ground-control judgment, and the safety inspection of working areas remain licensed engineering work. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Mining and Geological Engineers work are most exposed to AI?
Prepare technical reports and cost estimates and Monitor mine production rates for effectiveness show the strongest automation pressure in this model. Prepare technical reports and cost estimates and Select extraction methods based on safety and cost are better treated as AI-augmented work.
What should Mining and Geological Engineers learn next?
Start with Mine design, Safety inspection, Cost estimating. The most practical adjacent paths in this model are Mine Operations Manager and Mine Safety Engineer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics