AI exposure score

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders score 16 out of 100, which is low exposure to AI. That ranks #679 of 923 US occupations, where #1 is the most exposed. Of the 18 tasks in this job, AI could speed up 2 on its own and 0 more with extra software built on top of it. In April–May 2026, 1 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

16/ 100

Low

Rank: #679of 923 jobs
US workers: 14,280BLS, May 2025
Median pay: $48,040a year
In real AI use: 1 of 18tasks, April–May 2026

Free report

Follow how AI is changing furnace, kiln, oven, drier, and kettle operators and tenders work.

Subscribe to the weekly report and get The AI Job Exposure Report (PDF) right away: the most and least exposed jobs, exposure by field, and the AI-resilient jobs that pay well.

Free · one email a week · unsubscribe anytime

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 2 (11%)
AI can speed this up with extra software: 0 (0%)
Little or no AI speed-up: 16 (89%)

Record gauge readings, test results, and shift production in log books.AI can speed this up on its own · core task
Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules.AI can speed this up on its own · core task · Seen in real AI use
Monitor equipment operation, gauges, and panel lights to detect deviations from standards.Little or no AI speed-up · core task
Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems.Little or no AI speed-up · core task
Press and adjust controls to activate, set, and regulate equipment according to specifications.Little or no AI speed-up · core task
Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications.Little or no AI speed-up · core task
Transport materials and products to and from work areas, manually or using carts, handtrucks, or hoists.Little or no AI speed-up · core task
Stop equipment and clear blockages or jams, using fingers, wire, or hand tools.Little or no AI speed-up · supplemental task
Load equipment receptacles or conveyors with material to be processed, by hand or using hoists.Little or no AI speed-up · supplemental task
Remove products from equipment, manually or using hoists, and prepare them for storage, shipment, or additional processing.Little or no AI speed-up · supplemental task
Calculate amounts of materials to be loaded into furnaces, adjusting amounts as necessary for specific conditions.Little or no AI speed-up · supplemental task
Melt or refine metal before casting, calculating required temperatures, and observe metal color, adjusting controls as necessary to maintain required temperatures.Little or no AI speed-up · supplemental task
Weigh or measure specified amounts of ingredients or materials for processing, using devices such as scales and calipers.Little or no AI speed-up · supplemental task
Direct crane operators and crew members to load vessels with materials to be processed.Little or no AI speed-up · supplemental task
Feed fuel, such as coal and coke, into fireboxes or onto conveyors, and remove ashes from furnaces, using shovels and buckets.Little or no AI speed-up · supplemental task
Replace worn or defective equipment parts, using hand tools.Little or no AI speed-up · supplemental task
Clean, lubricate, and adjust equipment, using scrapers, solvents, air hoses, oil, and hand tools.Little or no AI speed-up · supplemental task
Sprinkle chemicals on the surface of molten metal to bring impurities to surface and remove impurities, using strainers.Little or no AI speed-up · supplemental task

What you can do about it

Get a personal plan for what to learn next.

Skill Half Life turns this score into a 90-day plan for your situation: your realistic options, the skills that carry over, and training that fits your time and budget. Coming soon.

See your options

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

Other jobs in this field

Production occupations close to this one.

All production jobs and AI

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?

Unlikely. Most of the work is hard for today's AI to speed up. Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders score 16 out of 100 (low exposure), #679 of 923 US jobs. AI could speed up 2 of the job's 18 tasks, 2 of them on its own, while 16 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which furnace, kiln, oven, drier, and kettle operators and tenders tasks can AI do?

The most exposed tasks include "Record gauge readings, test results, and shift production in log books"; "Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules".

Which furnace, kiln, oven, drier, and kettle operators and tenders tasks are hardest for AI?

Tasks with little or no AI speed-up include "Monitor equipment operation, gauges, and panel lights to detect deviations from standards"; "Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems"; "Press and adjust controls to activate, set, and regulate equipment according to specifications".

Are people already using AI for this work?

Yes. In April–May 2026, 1 of the 18 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as furnace, kiln, oven, drier, and kettle operators and tenders, and what do they earn?

About 14,280 people in the US, with median pay of $48,040 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.