AI exposure: Crematory Operators
Operate crematory equipment to reduce human or animal remains to bone fragments in accordance with state and local regulations. Duties may include preparing the body for cremation and performing general maintenance on crematory equipment. May use traditional flame-based cremation, calcination, or alkaline hydrolysis.
Reading this score
computedAt 23.1% of weighted task load, Crematory Operators sits at the 43th percentile, below the point where a job's centre of gravity has moved. 66.7% 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 12 tasks it averages 2.21 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 Document divided remains to ensure parts are not misplaced, at 80.0%. The least is Sweep or vacuum the cremation chamber to retrieve remains for storage in an urn or other..., at 0.0%. A gap of 80.0% 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 personal care and service occupations, this one is less exposed than the median of 24.4% across the group's 31 roles, with 16 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 12 tasks, 3 are currently banded exposed, 0 assisted and 9 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 | 1.33 | 0-4 |
| Embodiment | 2.21 | 0-3 |
| Presence | 1.14 | 0-3 |
| Accountability | 0.82 | 0-3 |
| Context | 1.08 | 0-3 |
| Verification cost | 1.08 | 0-3 |
Task by task
12 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Document divided remains to ensure parts are not misplaced. | 80.0% | 20.0% | 0.0% | – | exposed |
| Explain the cremation process to family or friends of the deceased. | 76.7% | 23.3% | 0.0% | – | exposed |
| Read documentation to confirm the identity of the deceased. | 73.3% | 26.7% | 0.0% | – | exposed |
| Place corpses into crematory machines to reduce remains to bone fragments using flame, heat, or alkaline hydrolysis. | 17.5% | 7.5% | 75.0% | – | untouched |
| Pulverize remaining bone fragments into smaller pieces, using specialized equipment, such as a cremulator or grinder. | 15.0% | 10.0% | 75.0% | – | untouched |
| Transport the deceased to a funeral home or crematory using a van, hearse, or other vehicle. | 8.3% | 16.7% | 75.0% | – | untouched |
| Offer counsel and comfort to bereaved families or friends. | 6.7% | 18.3% | 75.0% | – | untouched |
| Clean the crematorium, including tables, floors, and equipment. | 0.0% | 0.0% | 100.0% | – | untouched |
| Embalm, dress, or otherwise prepare the deceased for viewing. | 0.0% | 0.0% | 100.0% | – | untouched |
| Pick up and handle human or pet remains in a respectful manner. | 0.0% | 0.0% | 100.0% | – | untouched |
| Remove jewelry, watches, or other personal items from the deceased prior to cremation. | 0.0% | 0.0% | 100.0% | – | untouched |
| Sweep or vacuum the cremation chamber to retrieve remains for storage in an urn or other container. | 0.0% | 0.0% | 100.0% | – | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 12 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
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.