Gini Loh System Tools

AI Automation Index

Will AI Replace Social and Community Service Managers?

Task-level automation exposure for Social and Community Service Managers: 16 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

51% weighted task index

16 of 16 tasks scored

Median Salary

$80,390 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

209,330 people hold this job — size, not growth

Projected 2025–35

+7.2% employment change

18,500 openings a year · BLS line item

Pay by state

BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$56,100 – $106,700

Highest medians

District of Columbia $106,700
Washington $103,000
Alaska $98,370
Colorado $97,440
New York $95,980

Lowest medians

Arkansas $56,100
Puerto Rico $60,280
West Virginia $62,060
Virgin Islands $64,990
Nevada $65,570

State figures come from the 11-9151 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 51%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 51%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 7%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 20/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 22%

4 tasks

Medium exposure (≥ 35%) 59%

9 tasks

Low exposure (below 35%) 19%

3 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#1131 · Core · 47% automatable

Establish and oversee administrative procedures to meet objectives set by boards of directors or senior management.

decision support — AI drafts strategies; human owns operational judgment

Develop operating strategies, plans, or procedures. Direct administrative or support services.
#1129 · Core · 30% automatable

Direct activities of professional and technical staff members and volunteers.

interpersonal — Employee supervision is accountability-bearing human work

Supervise employees.
#1130 · Core · 55% automatable

Evaluate the work of staff and volunteers to ensure that programs are of appropriate quality and that resources are used effectively.

data analysis — AI analyzes performance metrics; human judges people context

Monitor performance of organizational members or partners.
#1132 · Core · 55% automatable

Participate in the determination of organizational policies regarding such issues as participant eligibility, program requirements, and program benefits.

decision support — AI drafts policies; accountability and context are human

Develop organizational policies or programs.
#1128 · Core · 79% automatable

Prepare and maintain records and reports, such as budgets, personnel records, or training manuals.

data analysis — Maintain operational records in structured systems

Prepare financial documents, reports, or budgets. Maintain operational records.
#18463 · Core · 45% automatable

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.

interpersonal — Survey design aided; administration needs human respondents

Conduct opinion surveys or needs assessments. Resolve customer complaints or problems.
#1127 · Core · 28% automatable

Establish and maintain relationships with other agencies and organizations in community to meet community needs and to ensure that services are not duplicated.

interpersonal — Interpersonal business relationships are inherently human

Establish interpersonal business relationships to facilitate work activities.
#1135 · Core · 38% automatable

Recruit, interview, and hire or sign up volunteers and staff.

interpersonal — AI drafts outreach; human builds candidate relationships

Interview employees, customers, or others to collect information. Hire personnel. Recruit personnel.
#1133 · Core · 72% automatable

Research and analyze member or community needs to determine program directions and goals.

data analysis — Market research analysis; human interprets strategy

Analyze market research data.
#18464 · Core · 50% automatable

Implement and evaluate staff, volunteer, or community training programs.

decision support — Training evaluation needs observation and human judgment

Evaluate training programs, instructors, or materials. Manage human resources activities.
#1139 · Core · 55% automatable

Act as consultants to agency staff and other community programs regarding the interpretation of program-related federal, state, and county regulations and policies.

decision support — Compliance guidance drafted; human verifies and owns

Advise others on legal or regulatory compliance matters.
#1134 · Core · 55% automatable

Speak to community groups to explain and interpret agency purposes, programs, and policies.

text generation — Promotional materials drafted; human executes outreach

Promote products, services, or programs.
#1138 · Supplemental · 68% automatable

Analyze proposed legislation, regulations, or rule changes to determine how agency services could be impacted.

information retrieval — Legal change impact analysis; counsel validates

Analyze impact of legal or regulatory changes.
#1137 · Supplemental · 72% automatable

Plan and administer budgets for programs, equipment, and support services.

data analysis — Budget drafting from assumptions; human validates assumptions

Prepare operational budgets.
#1136 · Supplemental · 30% automatable

Represent organizations in relations with governmental and media institutions.

interpersonal — External representation requires human presence and authority

Represent the organization in external relations.
#1141 · Supplemental · 40% automatable

Direct fundraising activities and the preparation of public relations materials.

decision support — Event planning aided; execution and accountability human

Coordinate special events or programs.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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