Will AI replace Embalmers?
Most of the work in Embalmers still leans on things AI struggles with — research rates its theoretical AI reach at only ~4%, and real-world use lower still.
O*NET-SOC 39-4011
How your 24 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 (~4%). 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 (~4%), 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 24 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain records, such as itemized lists of clothing or valuables delivered with body and names of persons embalmed.
- No tasks in this middle tier.
- Conform to laws of health and sanitation and ensure that legal requirements concerning embalming are met.
- Apply cosmetics to impart lifelike appearance to the deceased.
- Join lips, using needles and thread or wire.
- Close incisions, using needles and sutures.
- Incise stomach and abdominal walls and probe internal organs, using trocar, to withdraw blood and waste matter from organs.
- Clean and disinfect areas in which bodies are prepared and embalmed.
- Dress bodies and place them in caskets.
- Make incisions in arms or thighs and drain blood from circulatory system and replace it with embalming fluid, using pump.
- Remove the deceased from place of death and transport to funeral home.
- Perform the duties of funeral directors, including coordinating funeral activities.
- Attach trocar to pump-tube, start pump, and repeat probing to force embalming fluid into organs.
- Reshape or reconstruct disfigured or maimed bodies when necessary, using dermasurgery techniques and materials such as clay, cotton, plaster of Paris, and wax.
- Pack body orifices with cotton saturated with embalming fluid to prevent escape of gases or waste matter.
- Conduct interviews to arrange for the preparation of obituary notices, to assist with the selection of caskets or urns, and to determine the location and time of burials or cremations.
- Insert convex celluloid or cotton between eyeballs and eyelids to prevent slipping and sinking of eyelids.
- Assist with placing caskets in hearses and organize cemetery processions.
- Wash and dry bodies, using germicidal soap and towels or hot air dryers.
- Arrange for transporting the deceased to another state for interment.
- Perform special procedures necessary for remains that are to be transported to other states or overseas, or where death was caused by infectious disease.
- Supervise funeral attendants and other funeral home staff.
- Serve as pallbearers, attend visiting rooms, and provide other assistance to the bereaved.
- Direct casket and floral display placement and arrange guest seating.
- Arrange funeral home equipment and perform general maintenance.
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.