Will AI replace Funeral Attendants?
Estimated risk score: 20 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (1 to 39).
For the occupation as a whole, from ratings of its 26 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 39-4021.00 · Personal Care and Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 6 of its 26 rated tasks; the first 5 are shown. In O*NET’s words.
- Perform various administrative tasks, such as typing documents or answering telephone calls.
- Obtain burial permits and register deaths.
- Obtain doctors' signatures on death certificate and complete other paperwork, such as insurance claims forms.
- Prepare obituaries for newspapers.
- Provide advice to mourners on how to make charitable donations in honor of the deceased.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 20 of its 26 rated tasks; the first 6 are shown. In O*NET’s words.
- Act as pallbearers.
- Arrange floral offerings or lights around caskets.
- Carry flowers to hearses or limousines for transportation to places of interment.
- Clean and drive funeral vehicles, such as cars or hearses, in funeral processions.
- Clean funeral parlors or chapels.
- Close caskets at appropriate point in services.
What the job is
Perform a variety of tasks during funeral, such as placing casket in parlor or chapel prior to service, arranging floral offerings or lights around casket, directing or escorting mourners, closing casket, and issuing and storing funeral equipment.
Also called: Funeral Assistant, Funeral Home Assistant, FSA, Pallbearer, Funeral Greeter, Mortician Helper, Funeral Associate, Undertaker Helper.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate