Will AI replace Morticians, Undertakers, and Funeral Arrangers?
Most of the work in Morticians, Undertakers, and Funeral Arrangers still leans on things AI struggles with — research rates its theoretical AI reach at only ~16%, and real-world use lower still.
O*NET-SOC 39-4031
How your 21 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~16%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~16%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 21 tasks, ratedBased on real task-level AI scores — click to collapse
- Obtain information needed to complete legal documents, such as death certificates or burial permits.
- Maintain financial records, order merchandise, or prepare accounts.
- Contact cemeteries to schedule the opening and closing of graves.
- Plan, schedule, or coordinate funerals, burials, or cremations, arranging details such as floral delivery or the time and place of services.
- Inform survivors of benefits for which they may be eligible.
- Consult with families or friends of the deceased to arrange funeral details, such as obituary notice wording, casket selection, or plans for services.
- Perform embalming duties, as necessary.
- Oversee the preparation and care of the remains of people who have died.
- Remove deceased remains from place of death.
- Arrange for clergy members to perform needed services.
- Provide information on funeral service options, products, or merchandise, and maintain a casket display area.
- Offer counsel and comfort to bereaved families or friends.
- Close caskets and lead funeral corteges to churches or burial sites.
- Direct preparations and shipment of bodies for out-of-state burial.
- Provide or arrange transportation between sites for the remains, mourners, pallbearers, clergy, or flowers.
- Plan placement of caskets at funeral sites or place or adjust lights, fixtures, or floral displays.
- Discuss and negotiate prearranged funerals with clients.
- Clean funeral home facilities and grounds.
- Arrange for pallbearers or inform pallbearers or honorary groups of their duties.
- Receive or usher people to their seats for services.
- Participate in community activities for funeral home promotion or other purposes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.