Somewhat Resilient
Last Update: 7/31/2026
AI Resilience Score for Excavation/Dragline Oper.:
36.7%
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%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forExcavating and Loading Machine and Dragline Operators, Surface Mining
$57,430 median salary•3,100 annual openings•SOC Code: 47-5022.00
Excavating and Loading Machine and Dragline Operators, Surface Mining are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career sits in the "Somewhat Resilient" category because AI is genuinely changing a big part of the job, with autonomous equipment already moving billions of tonnes of material at real mine sites, but it has not eliminated the need for skilled humans entirely. The hands-on work of inspecting equipment, clearing slides, and repairing machinery still requires a real person on the ground, and someone has to oversee, troubleshoot, and maintain these smart machines when things go wrong.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is somewhat resilient
This career sits in the "Somewhat Resilient" category because AI is genuinely changing a big part of the job, with autonomous equipment already moving billions of tonnes of material at real mine sites, but it has not eliminated the need for skilled humans entirely. The hands-on work of inspecting equipment, clearing slides, and repairing machinery still requires a real person on the ground, and someone has to oversee, troubleshoot, and maintain these smart machines when things go wrong.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Excavation/Dragline Oper.
Updated Quarterly
How is AI changing Excavation/Dragline Oper. jobs?
Surface mining is one of the industries where AI-powered automation has moved fastest, but the change is more often augmenting operators than fully replacing them. Equipment makers are now embedding autonomy directly into the same shovels, loaders, and haul trucks you'd run at a surface mine — Caterpillar's new intelligent product lines include excavators capable of autonomous trenching, loading and grading, plus loaders that handle material and truck-loading using autonomous navigation and real-time data processing. Caterpillar's autonomous mining fleet is already one of the largest in the world, having safely moved over 11 billion tonnes of material, and at new sites like Mariana Minerals' Copper One, data from the autonomous haulage system feeds directly into a broader mining platform to enable coordinated, site-wide autonomy with zero human-in-the-loop control decisions.
SME also just launched a dedicated Automation and Robotics Committee [1] in 2026, a sign the profession itself sees this shift as central. Still, jobs like clearing slides, inspecting equipment, and lubricating or repairing parts remain hands-on work that today's AI can't safely do alone.
Sources
How fast is AI adoption growing for Excavation/Dragline Oper.?
Adoption is being pushed hard by economics and labor shortages. Mining companies frame autonomy as a direct answer to the labor shortage plaguing the US mining industry, maximizing tonnes mined per employee while reducing interfaces between humans and heavy machinery, and they argue deployment will ultimately create meaningful opportunities for workforce development around maintaining and operating highly instrumented, autonomous equipment. The Association of Equipment Manufacturers expects this trend to keep accelerating: capabilities will (and have) evolved toward semi-autonomous and fully autonomous operations, reshaping workforce roles and competitive dynamics across the industry, and as robotics and generative AI become standard, human roles are evolving toward oversight, troubleshooting, and data-driven decision-making, with companies that prioritize digital literacy retaining talent rather than displacing it.
Broader research echoes this hopeful framing — BCG's 2026 modeling [2] finds task automation doesn't equal job loss and that 50% to 55% of US jobs will be reshaped, not eliminated, by AI over the next two to three years. Slowing factors include high capital costs, safety/legal approval for autonomous heavy equipment, and the fact that, as Brookings notes [3], around 70% of highly AI-exposed workers are in jobs with high capacity to manage transitions if necessary. For young people eyeing mining careers, the practical takeaway is encouraging: the people who learn to run, repair, and supervise smart machines will be the ones in demand.
Sources
Will AI replace Excavation/Dragline Oper.?
Not entirely. We think AI will take over some tasks, but not the whole job.
Surface mining is one of the faster-moving industries when it comes to automation. Equipment makers are embedding autonomy directly into excavators, loaders, and haul trucks, and autonomous fleets have already moved billions of tonnes of material at active mine sites. That is real, significant change, and it is why this role earns a 36.7% AI Resilience Score, meaning it faces more disruption than most occupations.
Still, the full job is not disappearing. Hands-on work like clearing slides, inspecting equipment, and repairing machinery remains genuinely difficult for AI to handle safely on its own. The profession's own trade body, the Society for Mining, Metallurgy and Exploration, launched a dedicated Automation and Robotics Committee in 2026 [1], signaling that operators who understand smart machines will be central to the industry's future, not sidelined by it. Broader research supports this framing: task automation does not equal job loss, and around 50% to 55% of US jobs will be reshaped rather than eliminated over the next few years [2].
The honest caveat is that employer demand through 2034 looks soft, so the field is shrinking somewhat. The people with the best outlook will be those who build skills in running, supervising, and troubleshooting the autonomous equipment that is already arriving on site.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Excavation/Dragline Oper.
The recommended articles highlight how AI is reshaping careers for Excavating and Loading Machine and Dragline Operators in surface mining. For example, AI-powered systems can enhance operational efficiency by predicting equipment failures, which helps prevent downtime and ensures smoother operations. Additionally, the rise of autonomous machinery means operators will need to adapt their skills to work alongside these technologies. Embracing AI will empower students to stay relevant and resilient in a rapidly evolving job market, making them valuable assets in the mining industry.
Will AI replace heavy equipment operators?
www.careerexplorer.com • 7/20/2026
Jul 8, 2026 — AI is already assisting with grade control, machine guidance, and autonomous hauling on mine sites. Here's what that means for your career ... Read more
AI Is Reshaping Mining: Robots, New Careers and Lower ...
geoconversation.org • 7/20/2026
Jun 6, 2026 — Artificial intelligence is transforming the mining industry through autonomous haul trucks, digital twins, emerging job roles and operating ...
Revolutionizing the Mining Industry: How AI is ...
www.burgex.com • 7/20/2026
Jan 28, 2023 — AI-powered systems can analyze vast amounts of data to identify new mineral deposits, predict equipment failures, and optimize mining operations. Read more
AI at the Coalface - AI in the Mining Industry
www.informationdifference.com • 7/20/2026
Sep 4, 2025 — The mining industry is adopting AI for exploration. Learn how AI is boosting efficiency, improving safety, and tackling environmental ...
The impact of AI on the mining sector
mine.nridigital.com • 7/20/2026
Sep 25, 2024 — AI enables mining companies to deploy autonomous machinery and use data analytics to enhance operational efficiency and productivity. Read more
More Career Info
Career: Excavating and Loading Machine and Dragline Operators, Surface Mining
They operate heavy machines to dig up and move earth or materials, making it easier to access valuable minerals or resources from the ground.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$57,430
Jobs (2024)
35,800
Growth (2024-34)
-0.4%
Annual Openings
3,100
Education
High school diploma or equivalent
Experience
Less than 5 years
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
Direct workers engaged in placing blocks or outriggers to prevent capsizing of machines when lifting heavy loads.
2
Lubricate, adjust, or repair machinery and replace parts, such as gears, bearings, or bucket teeth.
3
Measure and verify levels of rock or gravel, bases, or other excavated material.
4
Move materials over short distances, such as around a construction site, factory, or warehouse.
5
Perform manual labor to prepare or finish sites, such as shoveling materials by hand.
6
Operate machinery to perform activities such as backfilling excavations, vibrating or breaking rock or concrete, or making winter roads.
7
Move levers, depress foot pedals, and turn dials to operate power machinery, such as power shovels, stripping shovels, scraper loaders, or backhoes.
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.
