Headline risk
14%
Low RiskFurnace, kiln, oven, drier, and kettle operators and tenders
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Operate or tend heating equipment other than basic metal, plastic, or food processing equipment. Includes activities such as annealing glass, drying lumber, curing rubber, removing moisture from materials, or boiling soap.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 47,010
Employment 2024
16.5K
Projected Change (2024–34)
3.0%
Openings (2024–34)
1.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Monitor equipment operation, gauges, and panel lights to detect deviations from standards. AI use: 0%
- 2. Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems. AI use: 0%
- 3. Press and adjust controls to activate, set, and regulate equipment according to specifications. AI use: 0%
- 4. Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules. AI use: 0%
- 5. Record gauge readings, test results, and shift production in log books. AI use: 0%
- 6. Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 40.4 · 242K employed
Under 25: 16% · 25–54: 64% · 55+: 21%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.