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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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Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
73.4%
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.
Med
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
AI Resilience Report forSocial and Human Service Assistants
Social and Human Service Assistants are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Resilient" because, while AI can help with tasks like paperwork and referrals, the core work of Social and Human Service Assistants relies heavily on human skills like empathy and judgment. Personal interactions, such as interviews and home visits, still depend on the human touch, which AI cannot replicate.
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This career is labeled as "Resilient" because, while AI can help with tasks like paperwork and referrals, the core work of Social and Human Service Assistants relies heavily on human skills like empathy and judgment. Personal interactions, such as interviews and home visits, still depend on the human touch, which AI cannot replicate.
Read full analysisAnalysis of Current AI Resilience
Social/Human Svc Asst
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Social/Human Svc Asst jobs?
Today, AI is starting to help with paperwork but not replacing the human touch. For example, social service offices already use computer tools to keep records and write reports. In the UK, some councils use an app (“Magic Notes”) that listens to meetings and auto-summarizes case notes [1].
In one trial it cut a 90-minute interview down to 35 minutes of work [1]. Voice-recognition software (like Nuance Dragon) is also listed as a skill for this job [2], showing that tools to transcribe or fill out forms are common. These kinds of tools help assistant caseworkers spend less time on screens and more time with people.
On the other hand, tasks that involve talking with real people (interviews, home visits or counseling) remain mostly human. Some offices use online intake forms or even simple chatbots to collect basic client information [3], and there are websites (211.org, Aunt Bertha/Findhelp) that suggest local services when given needs [3]. But experts emphasize AI is not yet a substitute for real care: bots can provide information, but “AI should drive me to a human, not be the human” [4].
In short, AI can automate reports and referrals to a degree [3] [1], but personal support tasks (visiting families, giving advice) still depend on human empathy and judgement [4] [1].
Sources
How fast is AI adoption growing for Social/Human Svc Asst?
Agencies are slowly trying out AI, but adoption is uneven. On the plus side, many relevant AI tools already exist (speech-to-text, chatbots, referral databases) and can be low cost to run [4] [1]. Social services need help – there are worker shortages – so any tool that saves time on admin is attractive [4] [1].
For example, Beam’s Magic Notes and Microsoft Copilot are being piloted to ease case documentation [1] [1]. These promise big efficiency gains (and they still make workers check the AI output) [1] [1].
However, adoption is cautious. Privacy and fairness concerns loom large. Experts have noted past failures (like Australia’s Robodebt) and worry about errors or bias [5] [1].
Social work leaders are calling for clear rules so AI tools are reliable and “reviewed before being carried out” [1] [1]. Funding and training also matter: many nonprofits and local agencies have tight budgets and may lack tech staff. In practice, AI in social services today is mostly in pilot stages [5] [1].
Workers’ own skills—empathy, advocacy and critical thinking—remain crucial, giving clients trust and support that machines cannot.
Sources
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More Career Info
Career: Social and Human Service Assistants
They help people in need by connecting them with resources and services like food, housing, or counseling to improve their well-being.
Parent Careers
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Employment & Wage Data
Median Wage
$45,120
Jobs (2024)
449,600
Growth (2024-34)
+6.4%
Annual Openings
50,600
Education
High school diploma or equivalent
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
Explain rules established by owner or management, such as sanitation or maintenance requirements or parking regulations.
2
Meet with youth groups to acquaint them with consequences of delinquent acts.
3
Transport and accompany clients to shopping areas or to appointments, using automobile.
4
Observe clients' food selections and recommend alternate economical and nutritional food choices.
5
Visit individuals in homes or attend group meetings to provide information on agency services, requirements, or procedures.
6
Demonstrate use and care of equipment for tenant use.
7
Oversee day-to-day group activities of residents in institution.
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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