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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
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.
High
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
Explosives Workers, Ordnance Handling Experts, and Blasters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Somewhat Resilient" because while automation is starting to handle big tasks like filling blast holes with explosives, many important details still need human skills. Tasks like placing safety cones and planning blast sizes rely on human judgment and can't yet be fully automated.
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 somewhat resilient
This career is labeled as "Somewhat Resilient" because while automation is starting to handle big tasks like filling blast holes with explosives, many important details still need human skills. Tasks like placing safety cones and planning blast sizes rely on human judgment and can't yet be fully automated.
Read full analysisAnalysis of Current AI Resilience
Explosives/Blasters
Updated Quarterly • Last Update: 2/17/2026

Big jobs like filling blast holes with explosives are starting to get robot help. For example, ABB and partners tested a “Robot Charger” that scans a mine wall and automatically inserts charges into each hole [1] [2]. Similarly, Epiroc/Orica’s Avatel system (trialed in 2022) lets an operator prepare and charge a mine face remotely [2].
These systems aim to keep workers safely away from the blast face. Digital tools – such as GPS‐guided drills and electronic detonators – already improve accuracy and efficiency: one study reported 25% better blasting efficiency and 10% lower cost per ton using advanced blasting tech [2]. However, many tasks remain mostly human.
Things like placing safety cones, tying primacord, planning blast sizes, and setting off charges still rely on people’s judgement and care. We found no examples of AI doing those end-to-end. In short, “heavy” parts of blasting are getting automated, but detail work and safety checks still need a human touch.

Mines will adopt AI and robots mainly for safety and cost reasons. New robots can reduce risk to people – ABB noted robots charging holes keep workers out of dangerous rock faces [1] – and trials show big gains. In the Swedish Aitik mine, for example, modern drilling/blasting tech cut costs and boosted productivity [2].
These successes make companies take notice. On the other hand, the technology is brand new. ABB only finished pilot tests of its blasting robot in 2023 [1] and Epiroc’s Avatel was first tried in 2022 [2].
High upfront costs and strict safety rules mean many operations adopt slowly.
Despite new tools, the human role stays important. Mine robots are remotely controlled by experts (so workers move into a safer control room) [1]. Skills like planning blast patterns, making real-time safety calls, and teamwork still need human brains.
In the end, AI is more about helping blasters work safer and faster – not replacing them. This means miners who learn to use the new technology may do even better work, keeping jobs steady while making blasts safer [1] [2].

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They safely handle and set off explosives to break rocks, demolish buildings, or clear paths for construction projects.
Median Wage
$59,110
Jobs (2024)
5,800
Growth (2024-34)
-0.9%
Annual Openings
500
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Mark patterns, locations, and depths of charge holes for drilling, and issue drilling instructions.
Insert, pack, and pour explosives, such as dynamite, ammonium nitrate, black powder, or slurries into blast holes; then shovel drill cuttings, admit water into boreholes, and tamp material to compact ...
Light fuses, drop detonating devices into wells or boreholes, or activate firing devices with plungers, dials, or buttons, in order to set off single or multiple blasts.
Set up and operate short-wave radio or field telephone equipment to transmit and receive blast information.
Lower perforating guns into wells, using hoists; then use measuring devices and instrument panels to position guns in correct positions for taking samples.
Obtain samples of earth from sidewalls of well boreholes, using electrically exploding devices.
Place explosive charges in holes or other spots; then detonate explosives to demolish structures or to loosen, remove, or displace earth, rock, or other materials.
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.

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