Vulnerable

Last Update: 6/19/2026

AI Resilience Score for Extraction Workers, Other:

19.8%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:

Low-medium

Contributing sources

AI Resilience Report forExtraction Workers, All Other

$50,110 median salary•700 annual openings•SOC Code: 47-5099.00

Extraction Workers, All Other are much less resilient to AI impacts than most occupations, according to our analysis of 4 sources.

Extraction work is labeled "Vulnerable" because the most physically demanding and repetitive tasks at the heart of this career, like hauling materials, conducting inspections, and monitoring remote sites, are being taken over by autonomous trucks, robots, and AI-powered sensors at a rapid pace. The numbers tell a clear story: over 3,800 autonomous haul trucks are already operating in mines worldwide, and the OECD estimates that more than 43% of current mining roles face high automation risk.

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How is AI changing Extraction Workers, Other jobs?

If you've ever pictured an oil rig or open-pit mine, you probably imagined lots of people in hard hats. That picture is changing fast. Between July 2024 and July 2025, the global fleet of autonomous haul trucks jumped to 3,832 autonomous haul trucks operating across surface mines worldwide — including both fully autonomous units and trucks equipped with autonomous-ready systems, an 84% year-on-year increase, according to Mining Doc's 2026 review ^[1].

In Canada, Imperial Oil has completed the conversion of its entire heavy-haul truck fleet at the Kearl Oil Sands Mine in Alberta to fully autonomous operation, with 81 trucks now operating without human drivers. In oil and gas, World Oil reports ^[2] that Ex-certified robotic platforms offer an alternative by conducting inspections in hazardous zones without requiring human entry, equipped with optical, thermal, acoustic and environmental sensors. The Society of Petroleum Engineers' Journal of Petroleum Technology ^[3] notes that AI has not replaced human talent; it has amplified it while transforming what expertise means — so much of today's AI is augmentation (drones, sensors, predictive maintenance) layered on top of human crews who still handle judgment calls.

Sources

[1]miningdoc.tech

[2]worldoil.com

[3]jpt.spe.org

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How fast is AI adoption growing for Extraction Workers, Other?

Adoption is moving quickly because the math is compelling: mines and rigs are dangerous, remote, and expensive to staff. Skillings Mining Review ^[4] cites that the OECD estimates that more than 43% of current mining roles are at high risk of automation, while McKinsey forecasts that tech-enabled and ESG-focused jobs will grow 2.5x faster than traditional extraction roles, and the rise of autonomous haulage systems, predictive maintenance tools and remote asset management has already begun to shape the workforce, with TPD Workforce Solutions reporting a 42% increase in automation-linked roles in 2025; remote operation centres are becoming central hubs, enabling companies such as Rio Tinto, BHP and Vale to operate mines from urban command centres rather than on-site teams. Safety pressure is another accelerator — Robotics & Automation News ^[5] explains that in oil and gas, one of the critical applications centres around lone worker monitoring in remote and offshore environments, where a smartwatch detecting and alerting worker malaise can mean the difference between a rescue and a fatality.

That said, headcount won't vanish overnight. The U.S. Bureau of Labor Statistics ^[6] projects that mining, quarrying, and oil and gas extraction employment will decline only about 1.6% between 2024 and 2034 — a slow shrink, not a cliff. The good news: human skills like physical troubleshooting, ethical judgment, ESG knowledge, and supervising robotic fleets remain valuable, and young workers who pair extraction know-how with data and tech literacy will be the ones companies fight to hire.

Sources

[4]skillings.net

[5]roboticsandautomationnews.com

[6]bls.gov

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Will AI replace Extraction Workers, Other?

Yes. We do think that eventually AI will replace much of this work as it's done today, but the transition opens real doors for workers who adapt early.

Our 19.8% AI Resilience Score puts this career in vulnerable territory, and the evidence backs that up. The global fleet of autonomous haul trucks grew 84% year-on-year to 3,832 units across surface mines worldwide ^[1]. Robotic platforms now conduct hazardous-zone inspections that once required human crews ^[2]. The OECD estimates more than 43% of current mining roles are at high risk of automation ^[4]. That is a lot of pressure on traditional extraction work.

What stays human, at least for now, is judgment, troubleshooting in unpredictable conditions, and oversight of the machines doing the heavy lifting. The BLS projects only about a 1.6% employment decline through 2034 ^[6], so this is a slow shift, not a sudden one. That gives workers time to move.

The smarter career play is to treat extraction know-how as a foundation, not a ceiling. Remote operation centers, autonomous fleet supervision, and predictive maintenance roles are growing fast ^[4]. Workers who pair field experience with data literacy and tech skills are exactly who companies will compete to hire next.

Sources

[1]miningdoc.tech

[2]worldoil.com

[4]skillings.net

[6]bls.gov

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How can Extraction Workers, Other prepare for AI?

Learn to work alongside autonomous systems, not just around them.

The analysis highlights that companies like Rio Tinto, BHP, and Vale are running mines from remote urban command centres using autonomous haul trucks and predictive maintenance tools, and that TPD Workforce Solutions reported a 42% increase in automation-linked roles in 2025. Take free or low-cost online courses in data literacy, remote operations, or industrial automation basics so that you build skills that transfer directly into those growing command-centre roles, whether your career stays in extraction or moves into logistics, manufacturing, or energy management.

Get familiar with the specific sensor and inspection technologies reshaping hazardous work.

The analysis describes Ex-certified robotic platforms equipped with optical, thermal, acoustic, and environmental sensors being used to inspect dangerous zones in oil and gas without human entry, plus smartwatches monitoring lone workers offshore. Explore how these sensor types work through robotics clubs, maker spaces, or free YouTube channels covering industrial IoT, because understanding sensor-driven safety systems is a transferable skill that applies to careers in environmental monitoring, construction technology, and public safety.

Build ESG knowledge as a career-long asset.

McKinsey forecasts that ESG-focused jobs in the extraction sector will grow 2.5 times faster than traditional roles, according to the analysis. Start now by reading about environmental, social, and governance standards in mining and oil and gas, following organizations like the Society of Petroleum Engineers (which publishes the Journal of Petroleum Technology), and connecting ESG concepts to science or social studies coursework, because ESG literacy transfers to careers in sustainability consulting, corporate reporting, policy, and finance far beyond extraction.

Practice the judgment and troubleshooting skills that AI cannot replace.

The analysis notes clearly that human skills like physical troubleshooting, ethical judgment, and supervising robotic fleets remain valuable even as the OECD estimates more than 43% of current mining roles face high automation risk. Seek out hands-on experiences such as technical shop classes, volunteer work involving equipment repair, or team problem-solving challenges, because the ability to make sound decisions in messy, real-world situations is exactly what employers across many industries will pay a premium for as automation handles routine tasks.

Map out adjacent career paths now so that transitions feel planned, not forced.

The BLS projects only about a 1.6% employment decline in mining and extraction between 2024 and 2034, which means the shift will be gradual, giving you time to prepare strategically rather than react in a panic. Use that window to shadow professionals in remote operations, drone inspection, or industrial data analysis, and build a personal skills portfolio that documents your technical and safety knowledge, because workers who can tell a clear story about their transferable expertise are the ones who move smoothly from one career chapter to the next.

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Latest AI news for Extraction Workers, Other

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