Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 47-5032.00
Place and detonate explosives to demolish structures or to loosen, remove, or displace earth, rock, or other materials. May perform specialized handling, storage, and accounting procedures.
Also called: Blast Hole Driller · Blaster · Explosive Technician · Powderman · Unexploded Ordnance Quality Control Officer · Aircraft Ordnance Technician · Ammunition and Explosives Handler · Blast Driller · Blast Setter · Blast Technician · Blasting Clay Miner · Blasting Coal Miner
Job family: Construction and Extraction Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-5032-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
8th-percentile task overlap — yet about 500 openings a year (-0.9% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Low | 19th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 6th | 0.0 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -0.9% by 2034 |
| Projected annual openings | 500 |
| Employment 2024 → 2034 | 5,800 → 5,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Public Safety and Security | 4.1 | |
| Law and Government | 4.0 | |
| Mathematics | 3.7 | |
| Engineering and Technology | 3.3 | |
| Administration and Management | 3.2 | |
| Customer and Personal Service | 3.2 | |
| Transportation | 3.2 |
| Problem Sensitivity | 4.0 | |
| Manual Dexterity | 4.0 | |
| Near Vision | 4.0 | |
| Oral Comprehension | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Information Ordering | 3.9 | |
| Arm-Hand Steadiness | 3.9 | |
| Oral Expression | 3.8 | |
| Finger Dexterity | 3.8 | |
| Multilimb Coordination | 3.6 | |
| Reaction Time | 3.6 | |
| Control Precision | 3.5 | |
| Visual Color Discrimination | 3.5 | |
| Selective Attention | 3.4 | |
| Depth Perception | 3.4 | |
| Category Flexibility | 3.3 | |
| Flexibility of Closure | 3.3 | |
| Perceptual Speed | 3.3 | |
| Speech Clarity | 3.3 | |
| Visualization | 3.1 | |
| Far Vision | 3.1 | |
| Speech Recognition | 3.1 |
| Active Listening | 3.9 | |
| Monitoring | 3.8 | |
| Critical Thinking | 3.6 | |
| Speaking | 3.4 | |
| Reading Comprehension | 3.1 |
| Judgment and Decision Making | 3.6 | |
| Operations Monitoring | 3.5 | |
| Operation and Control | 3.5 | |
| Complex Problem Solving | 3.4 | |
| Time Management | 3.4 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Autodesk AutoCAD | Computer aided design CAD software | Hot technology |
| ESRI ArcGIS software | Geographic information system | Hot technology |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Blaster's Tool and Supply Company Blaster's Calculator | Analytical or scientific software | |
| Datavis DBS Designer | Analytical or scientific software | |
| DetNet ViewShot | Analytical or scientific software | |
| Global positioning system GPS software | Mobile location based services software |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Construction Trades , Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| High School Diploma | 62.5% | |
| Post-Secondary Certificate | 20.8% | |
| Some College Courses | 8.3% | |
| Less than a High School Diploma | 4.2% | |
| Associate's Degree (or other 2-year degree) | 4.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 6.9 | |
| Conventional | 4.2 | |
| Investigative | 3.8 |
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Integrity | 4.0 | |
| Cautiousness | 3.0 | |
| Stress Tolerance | 3.0 | |
| Self-Control | 2.5 | |
| Perseverance | 1.9 |
| Physical/Manual Labor | 5.8 | |
| Engineering | 3.7 | |
| Mechanics/Electronics | 2.7 | |
| Physical Science | 2.3 | |
| Mathematics/Statistics | 2.3 | |
| Protective Service | 2.1 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $45,160 |
| 25th percentile | $49,860 |
| Median (50th) | $59,110 |
| 75th percentile | $80,050 |
| 90th percentile | $104,210 |
| People employed | 5,680 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 1,200 | $57,150 |
| Professional, Scientific, and Technical Services · Sector | 880 | $93,550 |
| Engineering Services · National industry | 780 | $93,550 |
| Construction · Sector | 620 | $58,320 |
| Wholesale Trade · Sector | 580 | $60,410 |
| Manufacturing · Sector | 470 | $57,990 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 230 | $66,260 |
| Transportation and Warehousing · Sector | 130 | $46,290 |
| Temporary Help Services · National industry | — | $31,200 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 56.8× | 1,200 |
| Engineering Services · National industry | 18.31× | 780 |
| Wholesale Trade · Sector | 2.61× | 580 |
| Professional, Scientific, and Technical Services · Sector | 2.22× | 880 |
| Construction · Sector | 2.07× | 620 |
| Manufacturing · Sector | 1× | 470 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.69× | 230 |
| Transportation and Warehousing · Sector | 0.48× | 130 |
Part of the Construction and Energy & Natural Resources career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Explosives Workers, Ordnance Handling Experts, and Blasters — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Explosives Workers, Ordnance Handling Experts, and Blasters show 8th-percentile AI task overlap — and about 500 annual U.S. openings
Explosives Workers, Ordnance Handling Experts, and Blasters show 8th-percentile AI task overlap — and about 500 annual U.S. openings • Explosives Workers, Ordnance Handling Experts, and Blasters rank in the 8th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-0.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $59,110, across about 5,680 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Explosives Workers, Ordnance Handling Experts, and Blasters". https://singulariki.com/roles/role-47-5032-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Explosives Workers, Ordnance Handling Experts, and Blasters." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-47-5032-00
Singulariki. (2026). Explosives Workers, Ordnance Handling Experts, and Blasters. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-5032-00
@misc{singulariki-role-47-5032-00,
title = {Explosives Workers, Ordnance Handling Experts, and Blasters},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-47-5032-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.