Undertakers and Embalmers
ISCO-08 5163 · 5 - Service and sales workers
On the International Labour Organization's 2025 global study, the 6 task statements that define Undertakers and Embalmers (ISCO-08 5163) score an average of 0.17 on a 0–1 exposure scale — more exposed than about 21% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.
Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.
How its tasks split across the gradient
Each of the 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).
| Band | Tasks | Share | What it means |
|---|---|---|---|
| Not exposed | 6 | 100% | No meaningful GenAI capability on the task |
| Minimal | 0 | 0% | GenAI can touch the edges only |
| Gradient 1 | 0 | 0% | Lightly exposed — small assistable slices |
| Gradient 2 | 0 | 0% | Partly exposed — real assistable share |
| Gradient 3 | 0 | 0% | Heavily exposed — most of the task is assistable |
| Gradient 4 | 0 | 0% | Almost fully exposed |
The most-exposed task
“Conducting interviews to arrange for preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations.”
Scores 0.44 on the 2025 scale. The task "Conducting interviews to arrange for preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations" involves both information gathering and client interaction, which aligns it closely with tasks requiring nuanced human judgment and interaction. The adjusted scores for similar tasks in the context, such as informing clients about funeral-related services (0.4225) and assisting with correspondence (0.265), share characteristics of providing information and handling sensitive communications. Generative AI can assist significantly by offering information, suggesting options, and automating parts of the interview process, similar to how it aids in tasks involving structured data or information delivery. However, the emotional sensitivity, customization of the interaction, and decision-making involved in this task necessitate human oversight, similar to the requirement in tasks like preparing contracts or maintaining a burial register (around 0.45). Therefore, an adjusted score of 0.435 reflects AI's potential to support information provision and process streamlining while recognizing the indispensable human element for empathy and decision integrity in this role. Furthermore, the assumption of high internet and technological accessibility in Poland increases the feasibility of AI assistance, justifying the automation potential reflected in the score.
Moving fastest, 2023 → 2025
“Conducting interviews to arrange for preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations.”
Model capability on this task changed by +0.34 in two years — the gradient is not static, it is filling in.
U.S. occupations this maps to
The American O*NET/SOC roles that crosswalk to ISCO-08 5163, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.
In context
Part of the 5 - Service and sales workers major group. Return to the full gradient to see how the whole group sits.
Write a report on thisheadline · factoids · citation
Undertakers and Embalmers sit at the 21st percentile of the global GenAI exposure gradient
- Across 427 international occupations scored by the ILO, Undertakers and Embalmers rank in the 21st percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement.ILO / Gmyrek et al. (2025) GenAI exposure gradient
- About 0% of this occupation's tasks fall into an exposed gradient band.ILO / Gmyrek et al. (2025)
- Mean task exposure rose by 0.06 between the 2023 and 2025 model-capability snapshots.ILO / Gmyrek et al. (2025), 2023→2025
- Its most-exposed task: "Conducting interviews to arrange for preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations.".ILO / Gmyrek et al. (2025)
Undertakers and Embalmers sit at the 21st percentile of the global GenAI exposure gradient • Across 427 international occupations scored by the ILO, Undertakers and Embalmers rank in the 21st percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient) • About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025)) • Mean task exposure rose by 0.06 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025) • Its most-exposed task: "Conducting interviews to arrange for preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations.". (ILO / Gmyrek et al. (2025)) Source: Singulariki — "Undertakers and Embalmers". https://singulariki.com/gradient/5163-undertakers-and-embalmers.html Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Datasets behind this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)