Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Mining & Geological Engineer:
54.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forMining and Geological Engineers, Including Mining Safety Engineers
$106,220 median salary•400 annual openings•SOC Code: 17-2151.00
Mining and Geological Engineers, Including Mining Safety Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Mining and geological engineers are labeled "Mostly Resilient" because AI is changing how they work rather than replacing them entirely. The most safety-critical decisions, like managing risks underground and overseeing complex operations, still require human judgment, and regulators and companies alike are committed to keeping engineers in charge of those calls.
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Mining and geological engineers are labeled "Mostly Resilient" because AI is changing how they work rather than replacing them entirely. The most safety-critical decisions, like managing risks underground and overseeing complex operations, still require human judgment, and regulators and companies alike are committed to keeping engineers in charge of those calls.
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Mining & Geological Engineer
Updated Quarterly
How is AI changing Mining & Geological Engineer jobs?
Right now, AI in mining is mostly augmenting engineers rather than replacing them — but the pace is picking up fast. According to Global Mining Review, AI is steadily moving from pilot projects to everyday practice across the mining sector, and in 2026 it will move from being an add-on to becoming a more central part of decision-making, risk management, and sustainable performance. The biggest visible change is in equipment: International Mining reports [1] that Caterpillar had 690 autonomous trucks in operation as of end-2024 and wants to triple that to over 2,000 by 2030, with autonomy and automation cited as the fastest growing trends in mining at a projected 12% CAGR.
For engineers specifically, McKinsey explains [2] that generative AI can analyze terabytes of electromagnetic and seismic measurements, help run remote operations more safely and efficiently, and let capital project teams use gen AI for generative scheduling and rapid impact assessment — making decisions weeks or months faster. Deloitte's 2026 outlook [3] expects miners to leverage autonomous and semi-autonomous hauling and drilling, AI-enabled process control, and predictive maintenance across fleets and sites, but importantly notes companies will keep humans in control of safety-critical decisions — exactly the work mining engineers are trained for.
Sources
How fast is AI adoption growing for Mining & Geological Engineer?
Adoption is happening, but not overnight. SME's Mining Engineering magazine [4] frames AI as a tool that can "help reshape" mining rather than instantly replace it. McKinsey [2] notes that most companies have explored AI use cases, but very few have scaled adoption to a level that truly transforms productivity.
Strong economic incentives push adoption — declining ore grades, rising input costs, and continued labour issues all make automation attractive — while safety, ethics, and regulation slow it down: Deloitte stresses keeping humans in charge of safety calls. The U.S. Bureau of Labor Statistics [5] projects about 1% employment growth for mining and geological engineers from 2024–34, slower than average, with a 2024 median pay of $101,020 — meaning the field is stable rather than shrinking. Global Mining Review emphasizes that people remain central to digital progress: technology may change what workers do, but human judgment continues to be critical.
So if you love planning, safety, and problem-solving, this career still has a real future — you'll just work alongside smarter tools.
Sources
Will AI replace Mining & Geological Engineer?
No. We don't think AI will replace Mining and Geological Engineers, Including Mining Safety Engineers, though we do expect the job to change.
AI is already reshaping the day-to-day work. Generative AI can analyze massive electromagnetic and seismic datasets, speed up project scheduling, and support remote operations [2]. Autonomous trucks are multiplying fast on mine sites [1]. These tools are real, and engineers who ignore them will fall behind.
But the core of this job stays human. Safety-critical decisions, regulatory accountability, and on-the-ground judgment in unpredictable environments are exactly what Deloitte says companies intend to keep under human control [3]. Mining engineers are the people who decide when a situation is too risky for a machine to call. That responsibility does not transfer easily to an algorithm.
The economic picture is mixed but not alarming. The BLS projects about 1% employment growth through 2034, which is slow, and job openings are limited, so the market is stable rather than growing [5]. Still, median pay sits at $101,020, and earning potential remains strong. Our 54.4% AI Resilience Score reflects that reality: this career is holding up, especially for people who treat AI as a tool and keep sharpening the judgment skills no model can replicate.
Sources
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Latest AI news for Mining & Geological Engineer
These articles highlight how AI is transforming the mining industry, creating exciting opportunities for Mining and Geological Engineers. For instance, the collaboration at Cigar Lake shows how machine learning can boost efficiency, while the Zambia Copper Project demonstrates AI's potential to revolutionize large-scale operations. As AI enhances safety and operational efficiency, future engineers can leverage these technologies to address challenges like workforce shortages and improve mining practices. Embracing AI will be key to thriving in this evolving field, ensuring a resilient career path.
Australia’s AI mining boom raises the bar for performance and risk
www.australianmining.com.au • 5/1/2026
Artificial intelligence is reshaping how mines operate faster than analysts anticipated. Research shows nearly 70 per cent of global mining...
KoBold Metals Zambia Copper Project Targets Revolutionary AI Mining
discoveryalert.com.au • 3/19/2026
KoBold Metals Zambia uses AI technology to develop a $2.5B copper mining operation targeting 300000 tonnes annually.
AI Revolutionises Mining: Enhanced Safety and Operational Efficiency
discoveryalert.com.au • 2/13/2026
AI mining technologies revolutionize operations with autonomous equipment, predictive maintenance, and advanced safety systems.
Machine learning boosts uranium mining efficiency at Cigar Lake
saskpolytech.ca • 10/21/2025
A groundbreaking collaboration between Cameco and Saskatchewan Polytechnic is transforming uranium mining at the Cigar Lake operation in northern...
Can AI mitigate the global shortage of geologists?
www.mining-technology.com • 9/3/2024
As global demand for critical materials rises and the geology workforce shrinks, AI technology has risen to the challenge of processing reams of geological...
More Career Info
Career: Mining and Geological Engineers, Including Mining Safety Engineers
They design and plan safe ways to remove minerals from the earth, making sure the mining process is efficient and safe for workers and the environment.
Parent Careers
Employment & Wage Data
Median Wage
$106,220
Jobs (2024)
7,000
Growth (2024-34)
+0.7%
Annual Openings
400
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Design mining and mineral treatment equipment and machinery in collaboration with other engineering specialists.
2
Lay out, direct, and supervise mine construction operations, such as the construction of shafts and tunnels.
3
Supervise, train, and evaluate technicians, technologists, survey personnel, engineers, scientists or other mine personnel.
4
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 miner...
5
Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and deposit characteristics.
6
Implement and coordinate mine safety programs, including the design and maintenance of protective and rescue equipment and safety devices.
7
Test air to detect toxic gases and recommend measures to remove them, such as installation of ventilation shafts.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
