AI exposure by occupation, O*NET 39-4012.00
Will AI replace Crematory Operators?
Crematory Operators: AI does not yet handle any of the role's 12 tasks; the work mostly needs an efficient-tier model.
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Every task, scored
The 12 tasks O*NET 30.3 lists for Crematory Operators, from most to least exposed. None reaches 60, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Offer counsel and comfort to bereaved families or friends. | Observed | Standard | |
| Clean the crematorium, including tables, floors, and equipment. | Estimated | Efficient | |
| Document divided remains to ensure parts are not misplaced. | Estimated | Efficient | |
| Embalm, dress, or otherwise prepare the deceased for viewing. | Estimated | Efficient | |
| Explain the cremation process to family or friends of the deceased. | Estimated | Efficient | |
| Pick up and handle human or pet remains in a respectful manner. | Estimated | Efficient | |
| Place corpses into crematory machines to reduce remains to bone fragments using flame, heat, or alkaline hydrolysis. | Estimated | Efficient | |
| Pulverize remaining bone fragments into smaller pieces, using specialized equipment, such as a cremulator or grinder. | Estimated | Efficient | |
| Read documentation to confirm the identity of the deceased. | Estimated | Efficient | |
| Remove jewelry, watches, or other personal items from the deceased prior to cremation. | Estimated | Efficient | |
| Transport the deceased to a funeral home or crematory using a van, hearse, or other vehicle. | Estimated | Efficient | |
| Sweep or vacuum the cremation chamber to retrieve remains for storage in an urn or other container. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 12. 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
An efficient-tier model or lower covers 83% of the role's importance-weighted task work. 92% of the work is something AI can address at some tier, and 8% 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
- 2,970
- Median annual wage
- $43,650
- Middle half of earners
- $37,020 to $50,380
- Projected change, 2024 to 2034
- +3.3%
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.
- Morticians, Undertakers, and Funeral Arrangers 70% skill overlap, about 11 months to move Exposure33
- Funeral Attendants 66% skill overlap, about 12 months to move Exposure30
- Embalmers 61% skill overlap, about 14 months to move Exposure71
- Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders 60% skill overlap, about 15 months to move Exposure22
- Funeral Home Managers 59% skill overlap, about 15 months to move Exposure37
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Crematory Operators and AI
Will AI replace Crematory Operators?
Not on current evidence. None of the 12 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 29 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.
What is the AI exposure of Crematory Operators?
29 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. 1 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Crematory Operators tasks can AI already do?
None reaches 60 yet. The most exposed task is: Offer counsel and comfort to bereaved families or friends, at 40 out of 100.
What AI model tier does this role need?
An efficient-tier model or lower covers 83% of the role's importance-weighted task work. 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 Crematory Operators, and what do they earn?
2,970 people in the United States, with a median annual wage of $43,650 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.3% 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: Crematory Operators. 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/crematory-operators
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