AI exposure by occupation, O*NET 51-9051.00
Will AI replace Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?
Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders: AI can already handle 2 of 17 tasks; most of the work is hands-on, and the part AI can address mostly needs a frontier-tier model.
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Every task, scored
The 17 tasks O*NET 30.3 lists for Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Calculate amounts of materials to be loaded into furnaces, adjusting amounts as necessary for specific conditions. | Estimated | Frontier | |
| Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules. | Estimated | Efficient | |
| Melt or refine metal before casting, calculating required temperatures, and observe metal color, adjusting controls as necessary to maintain required temperatures. | Estimated | Efficient | |
| Monitor equipment operation, gauges, and panel lights to detect deviations from standards. | Estimated | No tier | |
| Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems. | Estimated | No tier | |
| Press and adjust controls to activate, set, and regulate equipment according to specifications. | Estimated | No tier | |
| Record gauge readings, test results, and shift production in log books. | Estimated | No tier | |
| Stop equipment and clear blockages or jams, using fingers, wire, or hand tools. | Estimated | No tier | |
| Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications. | Estimated | No tier | |
| Load equipment receptacles or conveyors with material to be processed, by hand or using hoists. | Estimated | No tier | |
| Remove products from equipment, manually or using hoists, and prepare them for storage, shipment, or additional processing. | Estimated | No tier | |
| Transport materials and products to and from work areas, manually or using carts, handtrucks, or hoists. | Estimated | No tier | |
| Weigh or measure specified amounts of ingredients or materials for processing, using devices such as scales and calipers. | Estimated | No tier | |
| Direct crane operators and crew members to load vessels with materials to be processed. | Estimated | No tier | |
| Feed fuel, such as coal and coke, into fireboxes or onto conveyors, and remove ashes from furnaces, using shovels and buckets. | Estimated | No tier | |
| Replace worn or defective equipment parts, using hand tools. | Estimated | No tier | |
| Clean, lubricate, and adjust equipment, using scrapers, solvents, air hoses, oil, and hand tools. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 18% of the role's importance-weighted task work. 18% of the work is something AI can address at some tier, and 82% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 14,280
- Median annual wage
- $48,040
- Middle half of earners
- $41,130 to $59,830
- Projected change, 2024 to 2034
- +3.0%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Metal-Refining Furnace Operators and Tenders 78% skill overlap, about 8 months to move Exposure22
- Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders 77% skill overlap, about 8 months to move Exposure14
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 75% skill overlap, about 9 months to move Exposure15
- Food Cooking Machine Operators and Tenders 72% skill overlap, about 10 months to move Exposure14
- Chemical Equipment Operators and Tenders 71% skill overlap, about 11 months to move Exposure15
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders and AI
Will AI replace Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?
AI already handles 2 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 22 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.0% from 2024 to 2034.
What is the AI exposure of Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?
22 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.
Which Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders tasks can AI already do?
The tasks with the highest exposure are: Calculate amounts of materials to be loaded into furnaces, adjusting amounts as necessary for specific conditions; Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 18% of the role's importance-weighted task work, and 82% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders, and what do they earn?
14,280 people in the United States, with a median annual wage of $48,040 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.0% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/furnace-kiln-oven-drier-and-kettle-operators-and-tenders
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