Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They remove materials like oil, gas, or minerals from the earth using specialized tools and equipment to help produce energy and raw materials.
This role is evolving
This career is labeled as "Evolving" because AI and technology are starting to play a bigger role in extraction work, such as mining and drilling, by taking over some heavy and repetitive tasks. While technology helps make these tasks safer and more efficient, human skills like problem-solving, teamwork, and on-site decision-making are still crucial.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because AI and technology are starting to play a bigger role in extraction work, such as mining and drilling, by taking over some heavy and repetitive tasks. While technology helps make these tasks safer and more efficient, human skills like problem-solving, teamwork, and on-site decision-making are still crucial.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Extraction Workers, Other
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Extraction work – like mining ores or drilling fuel – is only partly automated today. Large resource companies have begun using AI and robots for heavy or data-heavy tasks. For example, firms such as Rio Tinto and BHP use autonomous vehicles, smart drills, and AI-driven ore-sorting to boost efficiency [1] [1].
Oil and gas crews use AI for equipment diagnostics and controlling drills [2]. These tools can handle boring, dangerous work around the clock, but many hands-on steps (like handling explosives or managing unexpected problems) still need people. Experts note that truly “driverless” mining is not common yet [1].
In fact, O*NET reports there is no special task list for this “all other” group [3], meaning workers’ jobs vary. In sum, AI in mining/oil so far augments rather than replaces extraction workers – it helps with planning and maintenance, while human skill remains crucial on site [1] [2].

AI in the real world
Adoption of AI in extraction depends on costs, benefits and culture. Big producers have technical teams and capital to pilot AI, so they use it for things like predictive maintenance or analyzing geology [2] [2]. Downsides slow adoption: outfitting a remote mine or rig with sensors and data links is expensive, and each site has unique geology or equipment, requiring custom solutions [1] [1].
For a relatively small occupation (about 7,100 U.S. workers in “Extraction, All Other” in 2023 [4]), firms weigh the investment carefully. A Federal Reserve oil–gas survey even found almost flat hiring [5], which suggests companies may seek efficiency more through tech than new staff. On the plus side, AI can improve safety by keeping workers out of harm’s way [1].
Socially, communities value safer mines, but workers also worry about losing jobs [1]. In practice, analysts say mining is cautious: heavy costs and the need for human oversight mean change is gradual [1] [1]. Many human skills – problem-solving, teamwork and on-site decision-making – stay important, because AI tools aren’t ready to handle every surprise underground.

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Median Wage
$50,110
Jobs (2024)
6,300
Growth (2024-34)
+1.4%
Annual Openings
700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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