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STRATUSWORKFORCE SCAN

Social and Community Service Managers

In short: today's best AI models could do about 36% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 51% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 49% of the time, stays with people.

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Plan, direct, or coordinate the activities of a social service program or community outreach organization. Oversee the program or organization's budget and policies regarding participant involvement, program requirements, and benefits. Work may involve directing social workers, counselors, or probation officers.

209,330 people do this job in the US. $80,390 a year.

Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.

A typical 40-hour week

  • AI could take on0 h
  • A person checks AI's work14 h
  • Desk work AI can't do yet6 h
  • Stays with people20 h

Social and Community Service Managers, now: of a 40-hour week, AI could take on 0 hours, 14 hours become checking its work, 6 hours are desk work it can't do yet, and 20 hours stay with people.

The largest pieces: Set administrative procedures (about 4 h, a person checks); Analyze community needs (about 2 h, a person checks); Keep records and reports (about 2 h, a person checks).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
36%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

What the work is made of
  • 49%
  • 2%
  • 30%
  • 19%
  • 0%
18%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 51% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

What handing it over would take, now

The 36% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.

35%

of the working time. The material can be handed to a model and the result handed back.

1%

of the working time. The model has to be connected to the system the work lives in.

, not counted
24%

is conversation short enough by length. This site leaves conversation with people, so it is not in the total.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 6%. Today's estimate: 36%.

0%10%20%30%40%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 0% within reachClaude Opus 4.5, November 2025: 0% within reachGPT-5.2, December 2025: 1% within reachClaude Opus 4.6, February 2026: 1% within reachClaude Mythos Preview (early), April 2026: 6% within reachToday (estimate), November 2026: 36% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.053% went to this job's tasks in May 2026, the 232nd largest of the 447 jobs that showed up at all; 2 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.022% to 0.02% (released February and March 2025); 0.013% to 0.031% (August 2025 to February 2026); 0.057% to 0.053% (April to May 2026).

0%0.05%0.1%20252026released February 2025: 0.022%released March 2025: 0.02%the week of Aug 4, 2025: 0.013%the week of Nov 13, 2025: 0.028%the week of Feb 5, 2026: 0.031%April 2026: 0.057%May 2026: 0.053%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.022%438 of 7084 of 16
Released March 20250.02%421 of 7032 of 16
The week of Aug 4, 20250.013%424 of 6553 of 16
The week of Nov 13, 20250.028%337 of 6723 of 16
The week of Feb 5, 20260.031%327 of 6773 of 16
April 20260.057%221 of 4342 of 16
May 20260.053%232 of 4472 of 16

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

What changes for the people in this job

From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.

What stays with people

49% of the working time: the conversation, in-person and hands-on parts of the tasks.

  • Direct staff and volunteers, the in-person work, 9%
  • Set administrative procedures, the conversation, 8%
  • Set program policies, the conversation, 5%
  • Analyze community needs, the conversation, 5%
  • Serve clients directly, the in-person work, 4%
  • Build agency relationships, the conversation, 4%

What becomes checking the machine

50% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.

  • Set administrative procedures, costly if wrong, 13%
  • Analyze community needs, costly if wrong, 11%
  • Plan and manage budgets, costly if wrong, 7%
  • Keep records and reports, costly if wrong, 5%
  • Evaluate staff and programs, costly if wrong, 3%
  • Run training programs, costly if wrong, 3%

What to learn

  • Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
  • The conversations. About 49% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
  • Briefing a model and checking its drafts. About 49% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
  • Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
  • Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.

Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).

The tasks

Sorted by . 16 tasks from .

Task
Establish and oversee administrative procedures to meet objectives set by boards of directors or senior management.Procedures written and seen through.Done daily by most who do it. 21%5 h1.7 h to 1.7 work daysDocuments 60%, conversation 40%48%Desk part half by now
Research and analyze member or community needs to determine program directions and goals.Research at the desk, with interviews.Done more than yearly by most who do it. AI observed on this task.16%1.3 work days3.3 h to 4.2 work daysDocuments 70%, conversation 30%30%Desk part half by Dec 2026
Direct activities of professional and technical staff members and volunteers.In person and by call with the team.Done daily by most who do it. 9%1.7 h50 min to 3.3 hIn person 60%, conversation 40%Stays with people
Participate in the determination of organizational policies regarding such issues as participant eligibility, program requirements, and program benefits.Policy meetings and the drafts.Done more than monthly by most who do it. 8%4.2 h1.7 h to 1.6 work daysConversation 60%, documents 40%35%Desk part half by now
Plan and administer budgets for programs, equipment, and support services.Budgets at the desk.Done more than yearly by most who do it.7%1 work day2.5 h to 3.1 work daysDocuments 100%52%Half by now
Evaluate the work of staff and volunteers to ensure that programs are of appropriate quality and that resources are used effectively.Watching the work and writing the reviews.Done daily by most who do it. AI observed on this task.7%2.5 h1.3 h to 6.7 hDocuments 50%, in person 50%50%Desk part half by now
Implement and evaluate staff, volunteer, or community training programs.Sessions led and the evaluation written.Done more than yearly by most who do it. 6%5 h1.7 h to 2.1 work daysDocuments 50%, in person 50%36%Desk part half by now
Provide direct service and support to individuals or clients, such as handling a referral for child advocacy issues, conducting a needs evaluation, or resolving complaints.Sitting with the client, calls, and the write up.Done more than monthly by most who do it. 5%1.3 h25 min to 3.3 hIn person 60%, documents 20%, conversation 20%20%Desk part half by now
Prepare and maintain records and reports, such as budgets, personnel records, or training manuals.Writing and entries.Done more than monthly by most who do it. AI observed on this task.5%2.5 h50 min to 1 work dayDocuments 70%, systems 30%92%Half by now
Direct fundraising activities and the preparation of public relations materials.Calls with donors and the materials written.Done more than yearly by most who do it.4%6.7 h1.7 h to 2.5 work daysDocuments 50%, conversation 50%28%Desk part half by now
Establish and maintain relationships with other agencies and organizations in community to meet community needs and to ensure that services are not duplicated.Meetings and calls.Done more than weekly by most who do it. 4%2.1 h50 min to 4.2 hConversation 60%, in person 40%Stays with people
Act as consultants to agency staff and other community programs regarding the interpretation of program-related federal, state, and county regulations and policies.Conversations and the interpretation written.Done more than monthly by most who do it. 3%1.7 h25 min to 4.2 hConversation 70%, documents 30%29%Desk part half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Questions about this job

How much of the work of Social and Community Service Managers is within reach of AI now?
An estimated 36% of the working time is within reach of AI models now and 51% by the end of 2028, on METR's long-run pace at four in five (49% to 51% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Social and Community Service Managers come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Set administrative procedures (48% of the task's time now, 60% by the end of 2028); Analyze community needs (30% of the task's time now, 70% by the end of 2028); and Keep records and reports (92% of the task's time now, 100% by the end of 2028).
Which tasks of Social and Community Service Managers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Direct staff and volunteers; Build agency relationships; and Speak to community groups. Together such tasks are about 15% of the working time, and the people and body parts of the other tasks stay with people too.
What should Social and Community Service Managers learn as AI takes on more of the work?
By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; the conversations; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 49% of the working time stays with people, 50% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
Do people already use AI for the work of Social and Community Service Managers?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.053% went to this job's tasks, the 232nd largest share of the 447 jobs that showed up; 2 of its 16 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 18%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Social and Community Service Managers?
Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
How is this estimated?
From the 16 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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Your own version of this job

The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.