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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Child, Family, and School Social Workers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled as "Resilient" because the core tasks of social workers, like talking with families, counseling parents, and building trust, rely heavily on human skills such as empathy, judgment, and listening, which AI cannot replicate. While AI can assist with routine tasks like organizing data and making referrals, it acts more as a helper than a replacement, allowing social workers to focus on the personal and emotional aspects of their work.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
This career is labeled as "Resilient" because the core tasks of social workers, like talking with families, counseling parents, and building trust, rely heavily on human skills such as empathy, judgment, and listening, which AI cannot replicate. While AI can assist with routine tasks like organizing data and making referrals, it acts more as a helper than a replacement, allowing social workers to focus on the personal and emotional aspects of their work.
Read full analysisAnalysis of Current AI Resilience
Child/Family/School SW
Updated Quarterly • Last Update: 2/17/2026

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].

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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They help children and families solve problems by offering support, guidance, and resources to improve their well-being and relationships.
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
AI-generated estimates of task resilience over the next 3 years
Administer welfare programs.
Counsel individuals, groups, families, or communities regarding issues including mental health, poverty, unemployment, substance abuse, physical abuse, rehabilitation, social adjustment, child care, o...
Develop and review service plans in consultation with clients and perform follow-ups assessing the quantity and quality of services provided.
Supervise other social workers.
Serve on policy-making committees, assist in community development, and assist client groups by lobbying for solutions to problems.
Interview clients individually, in families, or in groups, assessing their situations, capabilities, and problems to determine what services are required to meet their needs.
Counsel students whose behavior, school progress, or mental or physical impairment indicate a need for assistance, diagnosing students' problems and arranging for needed services.
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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