Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Mining & Geological Engineer:
57.3%
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•300 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 while AI is taking over a lot of the number-crunching work (like monitoring equipment and analyzing drill data), the most important parts of the job still require human judgment. Tasks like planning mines, supervising construction, and training staff are too complex and high-stakes for AI to handle on its own, so engineers stay in the driver's seat on those decisions.
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Mining and geological engineers are labeled "Mostly Resilient" because while AI is taking over a lot of the number-crunching work (like monitoring equipment and analyzing drill data), the most important parts of the job still require human judgment. Tasks like planning mines, supervising construction, and training staff are too complex and high-stakes for AI to handle on its own, so engineers stay in the driver's seat on those decisions.
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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 — think of it as a smart assistant that handles the number-crunching so engineers can focus on judgment calls. According to Global Mining Review, artificial intelligence is steadily moving from pilot projects to everyday practice across the mining sector, and in 2026 AI will move from being an add-on to becoming a more central part of decision-making, risk management, and sustainable performance. On the reporting and monitoring side (your higher-automation tasks), PwC's Mine 2026 report [1] describes how Coal India's Project DigiCoal bundles drone-based survey and planning, AI- and machine learning-driven drill and blast design, sensor-based fleet monitoring, digitised land records, and predictive asset maintenance into a single portfolio coordinated from a central "digital war room." Mining Magazine documented an AI tool that reduced downtime events by 38% [2], showing how production monitoring is being automated.
Meanwhile, the higher-judgment tasks — planning mines, supervising construction, and training staff — remain firmly human, because technology may change what workers do, but human judgment continues to be critical.
Sources
How fast is AI adoption growing for Mining & Geological Engineer?
Adoption is accelerating but uneven. McKinsey analysis reported by Global Mining Review [3] found that mining saw its productivity decrease by half from 1997 to 2023, and innovation will be essential to closing that gap — giving companies a strong economic motive to adopt AI. On the other hand, PwC's Mine 2026 [1] notes that 40% of mining CEOs said their company's technology performance was below expectations, pointing to real barriers like data quality, remote sites, and safety-critical regulation.
The Society for Mining, Metallurgy & Exploration [4] is actively funding AI courses for mining students, signaling that the profession is embracing — not fearing — the shift. Job security also looks stable: the U.S. Bureau of Labor Statistics [5] projects employment for mining and geological engineers will grow about 1% from 2024 to 2034, with roughly 400 openings a year. So if you're curious about this career, learning data and AI skills alongside traditional engineering is a smart, hopeful path forward.
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.
That view is reflected in our 57.3% AI Resilience Score. Right now, AI is mostly acting as a smart assistant in mining, handling number-crunching, predictive maintenance, and production monitoring so engineers can focus on judgment calls. Mining Magazine documented an AI tool that cut downtime events by 38% [2], and PwC describes large-scale digital portfolios that bundle drones, AI-driven drill design, and sensor-based fleet monitoring into centralized systems [1]. The routine, data-heavy parts of this job are clearly shifting.
What stays human is the harder stuff: planning mine layouts, supervising construction, keeping workers safe, and making calls in unpredictable environments. Those tasks require experience and accountability that AI cannot replicate today. The economic picture supports staying in this field too. Wages are strong, and the Society for Mining, Metallurgy and Exploration is already funding AI courses for mining students [4], which means the profession is treating AI as a tool to learn, not a threat to fear. Job growth is modest [5], so this is not a booming market, but engineers who build data and AI skills alongside traditional training will be well positioned for the roles that remain.
Sources
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Latest AI news for Mining & Geological Engineer
These articles highlight how AI is transforming the mining sector, creating exciting opportunities for Mining and Geological Engineers. For instance, autonomous equipment and predictive maintenance enhance safety and efficiency, essential for engineers focused on operational excellence. Additionally, AI's role in addressing the shortage of geologists shows its potential to streamline processes and improve decision-making. By embracing AI advancements, students can position themselves as resilient professionals ready to tackle future challenges in the industry.
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...
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...
Rio Tinto’s AI Strategy: Analysis of Dominance in Mining AI
www.klover.ai • 7/27/2025
The report explores how Rio Tinto's AI strategy will dominate in mining. The report includes the most exhaustive ai strategy analysis...
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...
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 (2025)
6,200
Growth (2025-35)
+3.8%
Annual Openings
300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise, train, and evaluate technicians, technologists, survey personnel, engineers, scientists or other mine personnel.
2
Lay out, direct, and supervise mine construction operations, such as the construction of shafts and tunnels.
3
Implement and coordinate mine safety programs, including the design and maintenance of protective and rescue equipment and safety devices.
4
Conduct or direct mining experiments to test or prove research findings.
5
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...
6
Design mining and mineral treatment equipment and machinery in collaboration with other engineering specialists.
7
Design, implement, and monitor the development of mines, facilities, systems, or equipment.
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.
