AI exposure: Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders
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.
Reading this score
computedAt 21.4% of weighted task load, Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders sits at the 39th percentile, below the point where a job's centre of gravity has moved. 65.8% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 17 tasks it averages 2.26 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Record gauge readings, test results, and shift production in log books, at 73.3%. The least is Replace worn or defective equipment parts, at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within production occupations, this one is more exposed than most. The median across the 107 roles in the group is 16.1%, and only 21 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 17 tasks, 5 are currently banded exposed, 2 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.20 | 0-4 |
| Embodiment | 2.26 | 0-3 |
| Presence | 0.46 | 0-3 |
| Accountability | 0.66 | 0-3 |
| Context | 1.17 | 0-3 |
| Verification cost | 0.85 | 0-3 |
Task by task
17 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Record gauge readings, test results, and shift production in log books. | 73.3% | 26.7% | 0.0% | 4.21 | exposed |
| Calculate amounts of materials to be loaded into furnaces, adjusting amounts as necessary for specific conditions. | 55.0% | 20.0% | 25.0% | 4.05 | exposed |
| Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules. | 41.7% | 20.8% | 37.5% | 4.16 | exposed |
| Press and adjust controls to activate, set, and regulate equipment according to specifications. | 33.3% | 16.7% | 50.0% | 4.22 | exposed |
| Monitor equipment operation, gauges, and panel lights to detect deviations from standards. | 30.0% | 20.0% | 50.0% | 4.51 | exposed |
| Melt or refine metal before casting, calculating required temperatures, and observe metal color, adjusting controls as necessary to maintain required temperatures. | 23.8% | 13.8% | 62.5% | 3.95 | untouched |
| Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems. | 23.3% | 26.7% | 50.0% | 4.25 | assisted |
| Direct crane operators and crew members to load vessels with materials to be processed. | 20.0% | 30.0% | 50.0% | 3.80 | assisted |
| Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications. | 11.7% | 13.3% | 75.0% | 4.15 | untouched |
| Clean, lubricate, and adjust equipment, using scrapers, solvents, air hoses, oil, and hand tools. | 4.8% | 3.5% | 91.7% | 3.29 | untouched |
| Transport materials and products to and from work areas, manually or using carts, handtrucks, or hoists. | 0.0% | 0.0% | 100.0% | 3.97 | untouched |
| Stop equipment and clear blockages or jams, using fingers, wire, or hand tools. | 0.0% | 0.0% | 100.0% | 4.19 | untouched |
| Load equipment receptacles or conveyors with material to be processed, by hand or using hoists. | 0.0% | 0.0% | 100.0% | 4.15 | untouched |
| Remove products from equipment, manually or using hoists, and prepare them for storage, shipment, or additional processing. | 0.0% | 0.0% | 100.0% | 4.06 | untouched |
| Weigh or measure specified amounts of ingredients or materials for processing, using devices such as scales and calipers. | 0.0% | 0.0% | 100.0% | 3.89 | untouched |
| Feed fuel, such as coal and coke, into fireboxes or onto conveyors, and remove ashes from furnaces, using shovels and buckets. | 0.0% | 0.0% | 100.0% | 3.60 | untouched |
| Replace worn or defective equipment parts, using hand tools. | 0.0% | 0.0% | 100.0% | 3.53 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.