Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 11-9171.00
Plan, direct, or coordinate the services or resources of funeral homes. Includes activities such as determining prices for services or merchandise and managing the facilities of funeral homes.
Also called: Funeral Director · Funeral Home Manager · Funeral Service Manager · Location Manager · Arranging Funeral Director · Funeral Home Location Manager · Funeral Home Owner · Licensed Funeral Director · Mortuary Operations Manager (Mortuary Ops Manager) · Prearranged Funeral Sales Manager · Advanced Planning Director · Funeral Counselor
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-9171-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
55th-percentile task overlap — yet about 2,600 openings a year (+4.1% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 56th | 0.7 | |
| AI assistant applicability (Microsoft) Moderate | 57th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Review financial statements, sales or activity reports, or other performance data to identify opportunities for cost reductions or service improvements. | 2.6% | |
| Conduct market research and analyze industry trends. | 1.7% | |
| Respond to customer complaints, legal inquiries, payment negotiations, or other post-service matters. | 0.6% | |
| Consult with families or friends of the deceased to arrange funeral details, such as obituary notice wording, casket selection, or plans for services. | 0.3% | |
| Attend or make presentations at community events to promote funeral home services or build community relationships. | 0.2% | |
| Evaluate the performance of vendors, contract employees, or other service providers to ensure quality and cost-efficiency. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.1% by 2034 |
| Projected annual openings | 2,600 |
| Employment 2024 → 2034 | 32,100 → 33,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Customer and Personal Service | 4.7 | |
| Administration and Management | 4.4 | |
| English Language | 4.3 | |
| Administrative | 4.0 | |
| Economics and Accounting | 3.7 | |
| Sales and Marketing | 3.6 | |
| Psychology | 3.6 | |
| Personnel and Human Resources | 3.5 | |
| Computers and Electronics | 3.4 | |
| Biology | 3.2 | |
| Education and Training | 3.2 | |
| Mathematics | 3.1 | |
| Law and Government | 3.1 |
| Service Orientation | 4.0 | |
| Social Perceptiveness | 3.9 | |
| Time Management | 3.6 | |
| Judgment and Decision Making | 3.5 | |
| Management of Personnel Resources | 3.5 | |
| Coordination | 3.4 | |
| Complex Problem Solving | 3.3 | |
| Persuasion | 3.1 | |
| Negotiation | 3.1 | |
| Instructing | 3.0 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 3.9 | |
| Oral Expression | 3.9 | |
| Written Expression | 3.8 | |
| Problem Sensitivity | 3.6 | |
| Near Vision | 3.6 | |
| Speech Clarity | 3.6 | |
| Speech Recognition | 3.5 | |
| Deductive Reasoning | 3.4 | |
| Information Ordering | 3.4 | |
| Category Flexibility | 3.1 |
| Active Listening | 3.9 | |
| Reading Comprehension | 3.6 | |
| Speaking | 3.5 | |
| Critical Thinking | 3.5 | |
| Monitoring | 3.4 | |
| Writing | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Culinary, Entertainment, and Personal Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Associate's Degree (or other 2-year degree) | 49.9% | |
| High School Diploma | 25.5% | |
| Post-Secondary Certificate | 14.6% | |
| Post-Baccalaureate Certificate | 5.3% | |
| Some College Courses | 3.5% | |
| Bachelor's Degree | 1.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Cautiousness | 10.0 | |
| Cooperation | 9.0 | |
| Social Orientation | 8.0 | |
| Self-Control | 7.0 | |
| Stress Tolerance | 6.0 | |
| Empathy | 5.0 | |
| Perseverance | 4.0 |
| Enterprising | 6.4 | |
| Conventional | 4.6 | |
| Social | 4.3 |
| Management/Administration | 6.3 | |
| Personal Service | 5.8 | |
| Sales | 4.3 | |
| Business Initiatives | 4.2 | |
| Human Resources | 3.8 | |
| Office Work | 3.6 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $45,820 |
| 25th percentile | $59,780 |
| Median (50th) | $76,830 |
| 75th percentile | $99,330 |
| 90th percentile | $132,470 |
| People employed | 13,120 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Other Services (except Public Administration) · Sector | 13,030 | $76,890 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Other Services (except Public Administration) · Sector | 34.59× | 13,030 |
Part of the Healthcare & Human Services and Management & Entrepreneurship career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Funeral Home Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Funeral Home Managers show 55th-percentile AI task overlap — and about 2,600 annual U.S. openings
Funeral Home Managers show 55th-percentile AI task overlap — and about 2,600 annual U.S. openings • Funeral Home Managers rank in the 55th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 2,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $76,830, across about 13,120 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Funeral Home Managers". https://singulariki.com/roles/role-11-9171-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
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.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Funeral Home Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-11-9171-00
Singulariki. (2026). Funeral Home Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9171-00
@misc{singulariki-role-11-9171-00,
title = {Funeral Home Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-9171-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.