Stable

Last Update: 3/13/2026

Your role’s AI Resilience Score is

77.3%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Child, Family, and School Social Workers

They help children and families solve problems by offering support, guidance, and resources to improve their well-being and relationships.

This role is stable

A career in Child, Family, and School Social Work is considered "Stable" because the most important parts of the job, like talking to families, understanding their needs, and offering support, require human empathy and understanding that AI can't replace. While AI tools can help with organizing paperwork and spotting trends, they only assist social workers rather than take over their roles.

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This role is stable

A career in Child, Family, and School Social Work is considered "Stable" because the most important parts of the job, like talking to families, understanding their needs, and offering support, require human empathy and understanding that AI can't replace. While AI tools can help with organizing paperwork and spotting trends, they only assist social workers rather than take over their roles.

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Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

84.4%

84.4%

Microsoft's Working with AI

AI Applicability

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Changing fast iconChanging fast

6.9%

6.9%

Anthropic's Observed Exposure

AI Resilience

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Stable iconStable

98.9%

98.9%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

90.5%

90.5%

Althoff & Reichardt

Economic Growth

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Stable iconStable

98.5%

98.5%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.4%

Growth Percentile:

55.7%

Annual Openings:

35,100

Annual Openings Pct:

77.9%

Analysis of Current AI Resilience

Child/Family/School SW

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Social work jobs have begun using computer tools, but mostly to help with paperwork and data – not to replace people. For example, doctors today use AI to record and summarize patient visits [1]; similarly, Columbus, Ohio is piloting an app to organize social workers’ client histories and needs [2]. More formally, some child-protective agencies use risk-scoring algorithms that draw on public data to flag families who may need extra help [3] [4].

These tools can help liaison and referral tasks by highlighting issues or suggesting services, but they only advise human workers. Studies find that current AI in social work is mostly “early-stage,” focusing on data analysis and decision support (like identifying clients or grouping needs), and showing some promising results [4].

By contrast, the deeply human parts of the job – talking with students and families, counseling parents, and building trust – remain largely untouched by AI. Tasks like counseling or supporting groups are very personal (with only ~8–10% of those tasks seen as automatable). No AI today can truly replace a social worker’s empathy.

In practice, technology is mostly used to speed up case records and reporting: software can help store files or even draft notes, but people still write and review them. Similarly, referral tasks can be aided by online directories or future AI matchers (for jobs, housing, etc.), but social workers still decide what help fits each family. In short, AI tools in this field tend to augment social workers – handling routine data and finding patterns – rather than automating the core people-centric work [4] [5].

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AI Adoption

AI in the real world

Several forces could push AI into social work faster. Social systems handle huge caseloads, so tools that save time are attractive [5]. Big donors (like Gates Foundation, Ballmer Group, etc.) are investing heavily ($1 billion over many years) in AI tools for public service fields, explicitly aiming to free social workers from paperwork and better match people to help [5] [5].

Off-the-shelf AI (like chatbots and language models) is widely available now, so agencies may experiment with them for scheduling, note-taking, or basic referrals. Indeed, a UK study even found child-protection workers among the first to adopt workplace AI for routine tasks [6].

However, other factors will slow things down. Social services are often underfunded and use outdated technology – as one report notes, the “social services ecosystem” has lagged behind the business world in tech infrastructure [2]. Budgets may not cover expensive new systems, especially if they require heavy training.

Crucially, there are big ethical and legal concerns. People worry about bias: for example, a U.S. child-welfare agency’s AI tool was recently reviewed by federal officials amid fears it could unfairly flag disabled or minority parents [3]. Experts warn that using AI in sensitive social contexts can “exacerbate inequities” if not handled wisely [5] [3].

In practice, agencies say the AI risk scores do not dictate decisions — human social workers review each case and can override the tool [3].

In sum, AI may enter social work gradually, mainly as a helpful assistant. Technology can make record-keeping and referrals cheaper and faster, but young social workers’ people skills – empathy, judgment, listening – will remain irreplaceable [5] [4]. The hope is that smart tools will ease the busiest parts of the job, letting social workers focus even more on caring for children and families.

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More Career Info

Career: Child, Family, and School Social Workers

Employment & Wage Data

Median Wage

$58,570

Jobs (2024)

399,900

Growth (2024-34)

+3.4%

Annual Openings

35,100

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Provide, find, or arrange for support services, such as child care, homemaker service, prenatal care, substance abuse treatment, job training, counseling, or parenting classes to prevent more serious ...

2

95% ResilienceSupplemental

Recommend temporary foster care and advise foster or adoptive parents.

3

93% ResilienceSupplemental

Work in child and adolescent residential institutions.

4

92% ResilienceCore Task

Counsel individuals, groups, families, or communities regarding issues including mental health, poverty, unemployment, substance abuse, physical abuse, rehabilitation, social adjustment, child care, o...

5

90% ResilienceCore Task

Interview clients individually, in families, or in groups, assessing their situations, capabilities, and problems to determine what services are required to meet their needs.

6

90% ResilienceCore Task

Counsel parents with child rearing problems, interviewing the child and family to determine whether further action is required.

7

90% ResilienceSupplemental

Supervise other social workers.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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