Share and intensity of work current AI systems can materially affect.
SOC 11-9151
Social and Community Service Managers AI displacement risk
Grant reporting, outcome dashboards, and program documentation are increasingly AI-assisted. Community needs assessment, funder relationships, frontline staff leadership, and accountability for vulnerable populations keep the role human-led.
Likely potential for exposed tasks to move to software after workflow integration.
The administrative burden of nonprofit management — reports, compliance, budgets — is exactly what automation relieves. The role's core is judgment about programs serving people, which funders and communities hold a person accountable for.
Distribution
Where Social and Community Service Managers sits across 620 tracked roles
Displacement pressure 26 — higher than 37% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
16 O*NET task statements matched to SOC 11-9151. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $80,390 (May 2025, US national). The latest BLS row matched SOC 11-9151.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Social and Community Service Managers
SOC 11-9151 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 26/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Social and Community Service Managers
The current evidence import matched 16 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks16
SOC11-9151
- Core task / ID 1131
Establish and oversee administrative procedures to meet objectives set by boards of directors or senior management.
- Core task / ID 1129
Direct activities of professional and technical staff members and volunteers.
- Core task / ID 1130
Evaluate the work of staff and volunteers to ensure that programs are of appropriate quality and that resources are used effectively.
- Core task / ID 1132
Participate in the determination of organizational policies regarding such issues as participant eligibility, program requirements, and program benefits.
- Core task / ID 1128
Prepare and maintain records and reports, such as budgets, personnel records, or training manuals.
- Core task / ID 18463
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.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Direct program staff and volunteers
Exposure 26, automation 8%, augmentation 46%.
O*NET evidence: Direct activities of professional and technical staff members and volunteers. (ID 1129)
Prepare budgets and reports
Exposure 62, automation 34%, augmentation 70%.
O*NET evidence: Prepare and maintain records and reports, such as budgets, personnel records, or traini... (ID 1128)
Evaluate program quality and outcomes
Exposure 46, automation 21%, augmentation 64%.
O*NET evidence: Evaluate the work of staff and volunteers to ensure that programs are of appropriate qu... (ID 1130)
Build agency and community relationships
Exposure 22, automation 6%, augmentation 42%.
O*NET evidence: Establish and maintain relationships with other agencies and organizations in community... (ID 1127)
TaskExposureAutomationAugmentation
Direct program staff and volunteers268%46%
Prepare budgets and reports6234%70%
Evaluate program quality and outcomes4621%64%
Build agency and community relationships226%42%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowExecutive Director, Nonprofit
Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 128.
- Broaden into fundraising and boards
- Lead strategic planning
- Own financial stewardship
role redesign
LowDirector of Programs
Training horizon: 3-6 months. Skill overlap 78. Wage preservation signal 112.
- Manage multi-program portfolios
- Standardize outcome metrics
- Mentor program managers
Comparison guides
Compare the next move before you commit
12-24 months
Social and Community Service Managers to Executive Director, Nonprofit
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Social and Community Service Managers into Executive Director, Nonprofit.
3-6 months
Social and Community Service Managers to Director of Programs
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Social and Community Service Managers into Director of Programs.
What the AI risk score means for Social and Community Service Managers
The displacement pressure score for Social and Community Service Managers is 26. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare budgets and reports carries 34% automation pressure, while Prepare budgets and reports carries 70% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $80,390 (May 2025, US national). Employment context: Nonprofit program leadership with grant-driven demand. Typical education: Bachelor's degree common.
Wage vulnerability is 44, while transition feasibility is 72. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Reporting automation reduces admin load
- Community accountability is durable
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Social and Community Service Managers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Program management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Grant reporting
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Community relations
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Outcome measurement
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Executive Director, Nonprofit, such as broaden into fundraising and boards.
- By 90 days, compare internal openings and external postings for Executive Director, Nonprofit or Director of Programs and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Social and Community Service Managers
Will AI replace Social and Community Service Managers?
Grant reporting, outcome dashboards, and program documentation are increasingly AI-assisted. Community needs assessment, funder relationships, frontline staff leadership, and accountability for vulnerable populations keep the role human-led. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Social and Community Service Managers work are most exposed to AI?
Prepare budgets and reports and Evaluate program quality and outcomes show the strongest automation pressure in this model. Prepare budgets and reports and Evaluate program quality and outcomes are better treated as AI-augmented work.
What should Social and Community Service Managers learn next?
Start with Program management, Grant reporting, Community relations. The most practical adjacent paths in this model are Executive Director, Nonprofit and Director of Programs.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics