How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Apply cosmetics to impart lifelike appearance to the deceased.70
- Wash and dry bodies, using germicidal soap and towels or hot air dryers.70
- Perform the duties of funeral directors, including coordinating funeral activities.70
- Direct casket and floral display placement and arrange guest seating.70
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Remove the deceased from place of death and transport to funeral home.01
- Arrange for transporting the deceased to another state for interment.02
- Perform special procedures necessary for remains that are to be transported to other states or overseas, or where death was caused by infectious disease.03
- Clean and disinfect areas in which bodies are prepared and embalmed.04
- Conform to laws of health and sanitation and ensure that legal requirements concerning embalming are met.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Coroners
Related work
Compare these careers →Phlebotomists
Related work
Compare these careers →Home Health Aides
Shares some work
Compare these careers →Respiratory Therapists
Shares some work
Compare these careers →Physical Therapist Assistants
Shares some work
Compare these careers →Endoscopy Technicians
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
