Will AI replace Explosives Workers, Ordnance Handling Experts, and Blasters?
Most of the work in Explosives Workers, Ordnance Handling Experts, and Blasters still leans on things AI struggles with — research rates its theoretical AI reach at only ~14%, and real-world use lower still.
O*NET-SOC 47-5032
How your 18 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~14%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~14%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 18 tasks, ratedBased on real task-level AI scores — click to collapse
- Compile and keep gun and explosives records in compliance with local and federal laws.
- Maintain inventory levels, ordering new supplies as necessary.
- No tasks in this middle tier.
- Examine blast areas to determine amounts and kinds of explosive charges needed and to ensure that safety laws are observed.
- Tie specified lengths of delaying fuses into patterns in order to time sequences of explosions.
- Place safety cones around blast areas to alert other workers of danger zones, and signal workers as necessary to ensure that they clear blast sites prior to explosions.
- 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.
- 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 charges.
- Mark patterns, locations, and depths of charge holes for drilling, and issue drilling instructions.
- Measure depths of drilled blast holes, using weighted tape measures.
- Connect electrical wire to primers, and cover charges or fill blast holes with clay, drill chips, sand, or other material.
- Lay primacord between rows of charged blast holes, and tie cord into main lines to form blast patterns.
- Assemble and position equipment, explosives, and blasting caps in holes at specified depths, or load perforating guns or torpedoes with explosives.
- Verify detonation of charges by observing control panels, or by listening for the sounds of blasts.
- Move and store inventories of explosives, loaded perforating guns, and other materials, according to established safety procedures.
- 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.
- Drive trucks to transport explosives and blasting equipment to blasting sites.
- Cut specified lengths of primacord and attach primers to cord ends.
- Repair and service blasting, shooting, and automotive equipment, and electrical wiring and instruments, using hand tools.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.