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Will AI replace directors, religious activities and education?

A little.

Most of the work is teaching, counseling and volunteer leadership that depends on trust built face to face. This job scores 71 out of 100 on (higher is safer). Today AI could do about 10% of the work by itself, people do 45% with AI’s help, and 45% still needs a person.

Updated 3 October 2026 21-2021 3229 2026-Q4
Community and Social ServiceDirectors, Religious Activities and Education21-2021 · 2026-Q4
10% AI does it45% AI helps45% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 45%AI helps 45%AI does it 10%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why congregations keep a person in this chair

This job runs on relationships. A director of religious activities and education plans classes, recruits and trains volunteer teachers, counsels members through grief and milestones, and keeps a program alive week after week. Software can draft a lesson outline. It cannot sit with a family after a funeral, or persuade a tired volunteer to teach one more semester.

Two tasks show the split well. Planning a year of faith formation starts as a scheduling and curriculum problem, and that part moves to a screen easily. Leading the program does not. The director knows which teacher is burning out, which teenager stopped showing up, and which family needs a visit rather than an email.

Budget and oversight work sits in the middle. Drafting a program budget, tracking supplies and reporting to a board are clerical tasks with clear inputs. Deciding what the congregation should spend on, and defending that choice to people who disagree, is judgment that belongs to a person with standing in the community.

What AI does, what it assists, and what stays with the director

The clearest machine work is paperwork. Writing bulletins and class announcements, keeping attendance and membership records, and building a room and session schedule are all handled well by ordinary office tools with language models attached. Across the task list above, that share is 10% of task time.

A larger slice is assisted rather than handed over. Curriculum selection, lesson material drafting, volunteer rosters and grant or newsletter copy go faster with a drafting tool, but someone has to check the content against the tradition being taught and the age group in the room. That assisted share prints as 45% of task time.

The rest stays with the director: pastoral counseling, teaching and leading services or classes in person, visiting members, and recruiting volunteers face to face. Our fields put 45% of task time in that group. You can see how these three groups are built in our coverage method.

Good to know: this page is about religious activities and education directors, not film, creative, art or finance directors, which are scored separately in the full job rankings.

The evidence, and what is missing

There is no direct test of AI against people in this job yet. Our quality grade is D, which is the grade we use when nothing has measured machine output against a qualified professional in the role. No benchmark has asked whether an AI-built faith formation program keeps families enrolled, or whether an AI-written counseling response helps a grieving member.

What would settle it is narrow and testable. A study comparing AI-drafted lesson plans with director-written ones, judged by teachers and parents over a term. A measured comparison of volunteer retention under AI-scheduled versus director-managed rosters. Until something like that exists, the honest answer is that the assisted tasks are proven and the human tasks are untested. How we grade this is set out on the quality parity page, and the wider approach is in our methodology.

The labor market around the job is steadier than the headlines suggest. BLS figures in our data show about 22,160 people in the occupation, median pay near $52,100, and projected employment growth of 3.3% from 2025 to 2035.

When the picture could shift

Most likely between 2036 and 2049 (8 in 10 of our scenarios). The replacement-year method explains how that window is built.

Two things could pull it earlier. Cost is one: the figures above show software for the admin side is cheap next to a salaried director, so a small congregation under budget pressure can try it without much risk. Adoption is the other: if church management platforms ship curriculum, scheduling and newsletter generation as standard features, the clerical hours shrink without anyone deciding to automate anything.

Two things hold it back. Pastoral trust does not transfer to a tool, and confidential conversations are the part of the week people value most. And the physical presence this job needs is not a robotics problem waiting on hardware; our robotics tier for the role is none needed, which means the barrier is social, not mechanical. Small nonprofit employers also adopt new systems slowly, with volunteer committees signing off.

How to stay needed

Lean into the work that sits in the human group. Three are worth protecting deliberately: counseling and accompanying members through hard weeks, teaching and leading in person rather than only planning, and recruiting, training and keeping volunteers. Those are the tasks a congregation notices immediately when they stop.

Two skills raise your value alongside them. First, program evaluation: knowing which classes hold attendance and why, with simple numbers you can show a board. Second, practical tool fluency, so drafting a newsletter or a lesson outline takes minutes and the saved hours go back into visits and volunteer development.

Clergy is the closest neighboring role, and many directors move between the two. Philosophy and religion teachers, postsecondary suits directors with graduate study who prefer the classroom. Education and childcare administrators, preschool and daycare uses the same mix of program planning, staff supervision and parent relationships.

To go further, see the rest of the religious workers family, the other services sector, our list of jobs that mostly need a person, or put this role next to another on the compare tool.

Frequently asked questions

Does this page answer "will AI replace directors" for film or creative directors?

No. This page covers directors of religious activities and education, the O*NET occupation that runs faith formation programs, volunteer teachers and congregational activities. Film directors, creative directors, art directors and finance directors are separate occupations with their own task lists and their own pages. You can find each of them by name in the site rankings or the A to Z list of jobs.

Can AI write a faith formation curriculum?

It can produce a draft quickly: a scope and sequence, lesson outlines, discussion questions and handouts. What it cannot do is check that the material matches your tradition, your age groups and the families in the room. Directors who use drafting tools treat the output as a starting point and keep editorial control, which is why this work sits in the assisted group in the task list above.

Which parts of church staff work are most exposed?

Clerical and communication tasks. Bulletins, class announcements, attendance and membership records, room scheduling and routine correspondence are the duties most easily handled by software. Counseling, teaching, visiting members and recruiting volunteers are not. The task split near the top of this page shows how those groups divide, and the full list names each duty with its status.

Is this job growing or shrinking?

BLS projections in our data show employment in the occupation growing slowly, by 3.3% between 2025 and 2035, from a base of about 22,160 US jobs with median pay near $52,100. That is modest growth rather than decline. Budget pressure at individual congregations matters more for most directors than any national projection.

Do religious education directors need robotics to be affected?

No. Our robotics tier for this role is none needed, because almost none of the work is physical manipulation. The limits here are social rather than mechanical: pastoral trust, confidentiality and presence. That is different from trades or warehouse work, where hardware cost and reliability set the pace of any change.

How was the timing range for this job worked out?

It comes from the share of task time machines can handle, the strength of the evidence behind that estimate, and how fast comparable employers adopt new tools. The result is a median year with an 80% range rather than a single date. The replacement-year method page explains the inputs and how often the figures are updated.

Each ridge is a slice of the job's task time.Needs a human 45%AI helps 45%AI does it 10%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Directors, Religious Activities and Education, O*NET-SOC 21-2021. 45% of the job’s task time still needs a human, so 45 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 45% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 45%AI helps 45%AI does it 10%
The job's task list: the parts AI can do are blacked out.Needs a human 45%AI helps 45%AI does it 10%
Develop or direct study courses or religious education programs within congregations.AI helps
Identify and recruit potential volunteer workers.Needs a human
Select appropriate curricula or class structures for educational programs.AI helps
Schedule special events, such as camps, conferences, meetings, seminars, or retreats.AI helps
Counsel individuals regarding interpersonal, health, financial, or religious problems.Needs a human
Collaborate with other ministry members to establish goals and objectives for religious education programs or to develop ways to encourage program participation.Needs a human
Train and supervise religious education instructional staff.Needs a human
Implement program plans by ordering needed materials, scheduling speakers, reserving space, or handling other administrative details.AI helps
Analyze member participation or changes in congregational emphasis to determine needs for religious education.AI helps
Analyze revenue and program cost data to determine budget priorities.AI helps
Attend workshops, seminars, or conferences to obtain program ideas, information, or resources.Needs a human
Visit congregational members' homes or arrange for pastoral visits to provide information or resources regarding religious education programs.Needs a human
Publicize programs through sources, such as newsletters, bulletins, or mailings.AI does it
Confer with clergy members, congregational officials, or congregational organizations to encourage support of or participation in religious education activities.Needs a human
Plan fundraising activities for the church.AI helps
Locate and distribute resources, such as periodicals or curricula, to enhance the effectiveness of educational programs.AI does it
Participate in denominational activities aimed at goals, such as promoting interfaith understanding or providing aid to new or small congregations.Needs a human
Interpret religious education activities to the public through speaking, leading discussions, or writing articles for local or national publications.AI helps
Plan or conduct conferences dealing with the interpretation of religious ideas or convictions.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: 2036–2049

Most likely between 2036 and 2049 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
A little.
By 2045
90%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 50.0% of scenarios: AI could do a little of this job (A little.)50%2030: 50.0% of scenarios: AI could partly do this job (Partly.)50%20302035: 40.0% of scenarios: AI could partly do this job (Partly.)40%2035: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2035: 20.0% of scenarios: AI could largely do this job (Largely.)20%20352040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2040: 60.0% of scenarios: AI could largely do this job (Largely.)60%20402045: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2045: 90.0% of scenarios: AI could largely do this job (Largely.)90%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%50.0%50.0%0.0%
203520.0%40.0%40.0%0.0%0.0%
204060.0%40.0%0.0%0.0%0.0%
204590.0%10.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

Clients want a personFace-to-face contact is rated 4.2 and physical closeness 3.4 out of 5; caring for or serving people is 4.8 out of 5 in importance.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
LiabilityMistakes are rated 1.4 out of 5 for consequence and decisions 3.1 out of 5 for impact; someone has to answer for them.
LicensingUsual entry requirement (BLS): bachelor's degree.
RegulationWorkers rate responsibility for others' health and safety 2.7 out of 5.
Physical work0% of the task time is physical.

What would it cost to hand the work to AI?

The share of the year AI could handle (616 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$60–$6,160
A person’s wage for the same hours
$10,260–$29,100

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

0%
of the task time is physical work
None needed
the kind of robot the physical work would need
Little of this job is physical, so robotics is not what holds AI back.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 45%AI helps 45%AI does it 10%
Writing · 10% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 17.4% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 0% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 27.3% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 0% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 45.4% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 45%AI helps 45%AI does it 10%
How exposed is it?

Still needs a human: 71/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 45% needs a human, 45% AI helps, 10% AI does it. Still needs a human: 71/100 ↑ safer. Will AI replace them? A little.

People are asking

How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.

In the US

10
Google searches a month, 12-month average to August 2026
Google searches a month, September 2025 to August 2026: from 10 to 10
197
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 14 to 197
0.45
Google searches a month for every 1,000 people in the job
100th of 197 among all jobs we have search data for

In the UK

10
Google searches a month, 12-month average to August 2026
30
estimated questions to AI assistants in September 2026
1.27
Google searches a month for every 1,000 people in the job in the UK (estimated)
61st of 197 among jobs we have UK search data for

Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 71/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate and augment parts of directing, but human vision, leadership, taste, and emotional judgment will remain central.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

AI will increasingly assist with technical and creative tasks in filmmaking, but directing requires human judgment, emotional nuance, and artistic vision that AI won't fully replicate within a decade.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will automate technical tasks like storyboarding, editing, and virtual scene generation, human directors will remain essential for providing the emotional vision, cultural nuance, and interpersonal leadership that define great filmmaking.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate many directing tasks and reshape the role, but human judgment, creative vision, leadership, and accountability are unlikely to disappear within the next decade.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Directors, Religious Activities and Education? A little. Still needs a human: 71/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/directors-religious-activities-and-education/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.