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Singulariki

Steam Engine and Boiler Operators

ISCO-08 8182 · 8 - Plant and machine operators, and assemblers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Steam Engine and Boiler Operators (ISCO-08 8182) score an average of 0.20 on a 0–1 exposure scale — more exposed than about 32% 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.

0.20
2025 mean exposure (0–1)
32nd
percentile across occupations
−0.03
change since 2023
0%
of tasks exposed

How its tasks split across the gradient

Each of the 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

BandTasksShareWhat it means
Not exposed 7 100% No meaningful GenAI capability on the task
Minimal 0 0% GenAI can touch the edges only
Gradient 1 0 0% Lightly exposed — small assistable slices
Gradient 2 0 0% Partly exposed — real assistable share
Gradient 3 0 0% Heavily exposed — most of the task is assistable
Gradient 4 0 0% Almost fully exposed

The most-exposed task

“Monitoring and inspecting performance of equipment for efficient operation and ensuring boiler water, chemical, and fuel are maintained at required levels;”

Scores 0.26 on the 2025 scale. The task "Monitoring and inspecting performance of equipment for efficient operation and ensuring boiler water, chemical, and fuel are maintained at required levels" shares similarities with tasks involving the monitoring and control of machinery and operational systems. Semantically similar tasks like "Ensuring economical operation of the boiler" and "Monitoring machines and devices cooperating with a gas central heating boiler" have scores of 0.235 and 0.25, reflecting the partial but not total potential for automation. Generative AI can support tasks with data analysis and monitoring but lacks the capacity for real-time decision-making and physical interventions required by this task. Physical tasks and precise manual adjustments, common in plant and machinery operations, demand human oversight, limiting the potential for full automation. Given the technological context of a high-income country like Poland, where AI can enhance but not fully replace human roles in such contexts, the adjusted score for this task reflects the limited automation potential while considering the necessity for human intervention.

Moving fastest, 2023 → 2025

“Operating, cleaning, lubricating and monitoring steam engines, boilers and auxiliary equipment such as pumps, compressors and air-conditioning equipment to supply and maintain steam and power for buildings, marine vessels or pneumatic tools;”

Model capability on this task changed by +0.07 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 8182, 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.

In context

Part of the 8 - Plant and machine operators, and assemblers major group. Return to the full gradient to see how the whole group sits.

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Steam Engine and Boiler Operators sit at the 32nd percentile of the global GenAI exposure gradient

  • Across 427 international occupations scored by the ILO, Steam Engine and Boiler Operators rank in the 32nd 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 0.03 between the 2023 and 2025 model-capability snapshots.ILO / Gmyrek et al. (2025), 2023→2025
  • Its most-exposed task: "Monitoring and inspecting performance of equipment for efficient operation and ensuring boiler water, chemical, and fuel are maintained at required levels;".ILO / Gmyrek et al. (2025)
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Steam Engine and Boiler Operators sit at the 32nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Steam Engine and Boiler Operators rank in the 32nd 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 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Monitoring and inspecting performance of equipment for efficient operation and ensuring boiler water, chemical, and fuel are maintained at required levels;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Steam Engine and Boiler Operators". https://singulariki.com/gradient/8182-steam-engine-and-boiler-operators.html
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.

Datasets behind this page

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.

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