Gini Loh System Tools

AI Automation Index

Will AI Replace Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?

Task-level automation exposure for Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders: 17 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

31% weighted task index

17 of 17 tasks scored

Median Salary

$48,040 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

14,280 people hold this job — size, not growth

Projected 2025–35

+2.6% employment change

1,800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 43 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$39,310 – $77,440

Highest medians

Maryland $77,440
Kentucky $75,620
Illinois $62,870
Kansas $62,350
Wyoming $62,130

Lowest medians

North Carolina $39,310
Nebraska $41,650
Florida $42,400
Oklahoma $42,970
Arkansas $43,560

State figures come from the 51-9051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 31%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 48%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 10%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 8%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 60/100 High

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 20%

3 tasks

Medium exposure (≥ 35%) 16%

2 tasks

Low exposure (below 35%) 64%

12 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#4963 · Core · 42% automatable

Monitor equipment operation, gauges, and panel lights to detect deviations from standards.

visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human

Monitor equipment operation to ensure proper functioning.
#4966 · Core · 55% automatable

Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems.

decision support — Diagnosis support good; physical resolution needs humans

Confer with others to resolve production problems or equipment malfunctions.
#4962 · Core · 18% automatable

Press and adjust controls to activate, set, and regulate equipment according to specifications.

physical manipulation — Manual temperature control adjustment

Adjust temperature controls of ovens or other heating equipment.
#4965 · Core · 82% automatable

Record gauge readings, test results, and shift production in log books.

data analysis — Record production data into structured logs

Record operational or production data.
#4964 · Core · 73% automatable

Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules.

information retrieval — Parse specs and materials from orders

Read work orders or other instructions to determine product specifications or materials requirements. Review blueprints or other instructions to determine operational methods or sequences.
#4967 · Core · 22% automatable

Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications.

physical manipulation — Chemical/physical testing requires lab manipulation

Test chemical or physical characteristics of materials or products.
#4969 · Core · 8% automatable

Transport materials and products to and from work areas, manually or using carts, handtrucks, or hoists.

physical manipulation — Physical moving of products between work areas

Move products, materials, or equipment between work areas.
#4970 · Supplemental · 15% automatable

Stop equipment and clear blockages or jams, using fingers, wire, or hand tools.

physical manipulation — Physically clearing jams in machinery

Clear equipment jams.
#4976 · Supplemental · 4% automatable

Load equipment receptacles or conveyors with material to be processed, by hand or using hoists.

physical manipulation — Hands-on loading of materials into equipment

Load materials into production equipment.
#4971 · Supplemental · 6% automatable

Remove products from equipment, manually or using hoists, and prepare them for storage, shipment, or additional processing.

physical manipulation — Physically extracting parts from production equipment

Remove products or workpieces from production equipment.
#4972 · Supplemental · 65% automatable

Calculate amounts of materials to be loaded into furnaces, adjusting amounts as necessary for specific conditions.

data analysis — Production requirement calc; human validates inputs

Calculate specific material, equipment, or labor requirements for production.
#4974 · Supplemental · 12% automatable

Melt or refine metal before casting, calculating required temperatures, and observe metal color, adjusting controls as necessary to maintain required temperatures.

physical manipulation — Manual temperature control adjustment

Adjust temperature controls of ovens or other heating equipment. Melt metal, plastic, or other materials to prepare for production.
#4961 · Supplemental · 25% automatable

Weigh or measure specified amounts of ingredients or materials for processing, using devices such as scales and calipers.

physical manipulation — Physical measuring and dispensing of ingredients

Measure ingredients or substances to be used in production processes.
#4978 · Supplemental · 30% automatable

Direct crane operators and crew members to load vessels with materials to be processed.

interpersonal — Directing production operations is human supervisory authority

Direct operational or production activities.
#4973 · Supplemental · 4% automatable

Feed fuel, such as coal and coke, into fireboxes or onto conveyors, and remove ashes from furnaces, using shovels and buckets.

physical manipulation — Hands-on loading of materials into equipment

Load materials into production equipment.
#4975 · Supplemental · 10% automatable

Replace worn or defective equipment parts, using hand tools.

physical manipulation — Hands-on removal and fitting of worn components

Replace worn equipment components.
#4968 · Supplemental · 8% automatable

Clean, lubricate, and adjust equipment, using scrapers, solvents, air hoses, oil, and hand tools.

physical manipulation — Physical production equipment maintenance

Clean production equipment. Maintain production or processing equipment. Lubricate production equipment.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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