Shotfirers and Blasters

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 11 task statements that define Shotfirers and Blasters (ISCO-08 7542) score an average of 0.12 on a 0–1 exposure scale — more exposed than about 7% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 11 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Compiling and maintaining records about usage of explosives in compliance with laws and regulations.”

Scores 0.24 on the 2025 scale. The task of compiling and maintaining records about the usage of explosives in compliance with laws and regulations involves a combination of routine documentation, data handling, and adherence to strict regulatory compliance, similar to the tasks of maintaining toxicological documentation (automation score 0.41) and storing explosives (automation score 0.055). Generative AI can contribute significantly by performing repetitive data processing tasks, organizing records, and providing alerts for compliance deadlines, akin to maintaining strict records of income and expenditure of firing means (automation score 0.235). However, the requirement for human oversight to ensure accuracy, handle complex situations, and interpret legal requirements limits the potential for complete automation. The task's reliance on adherence to safety protocols and legal frameworks involving hazardous materials necessitates a high degree of human judgment. Given these considerations, in the context of a high-income country like Poland, where technology enhances AI's potential role in supporting such administrative tasks, the adjusted score reflects the ability of AI to streamline rather than fully automate the task.

Moving fastest, 2023 → 2025

“Ensuring all explosives are detonated, and reporting and attending to misfires;”

Model capability on this task changed by +0.06 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 7542, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

No U.S. role resolves through the crosswalk for this occupation. Search the encyclopedia for the closest match →

In context

Part of the 7 - Craft and related trades workers major group. Return to the full gradient to see how the whole group sits.

Shotfirers and Blasters sit at the 7th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Shotfirers and Blasters rank in the 7th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.07 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Compiling and maintaining records about usage of explosives in compliance with laws and regulations.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Shotfirers and Blasters". https://singulariki.com/gradient/7542-shotfirers-and-blasters.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.