Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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
They help patients by providing support, connecting them with resources, and guiding them through emotional and social challenges during their healthcare journey.
Summary
The career of a healthcare social worker is considered "Stable" because many core tasks, like building trust and talking through sensitive issues with patients, still require a human touch that AI can't provide. While AI tools are starting to help with paperwork and data entry, they're mostly used to support social workers, not replace them.
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Learn more about how you can thrive in this position
Summary
The career of a healthcare social worker is considered "Stable" because many core tasks, like building trust and talking through sensitive issues with patients, still require a human touch that AI can't provide. While AI tools are starting to help with paperwork and data entry, they're mostly used to support social workers, not replace them.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Healthcare Social Workers
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Right now, most tasks of healthcare social workers still need humans, but AI tools are starting to help with paperwork and data entry. For example, new voice-AI systems can listen in on clinical interviews and automatically draft notes or referral letters [1]. Leaders say tools that cut down on recording and coding can free social workers to spend more time with patients [2].
Researchers are also exploring AI that reads medical records to flag social needs – like housing or family stress – which might help “identify environmental impediments” faster [3]. These systems are early stage, not finished, so social workers still check results and talk to clients personally.
On the other hand, many core duties remain human jobs. Changing a care plan when someone’s situation shifts, talking through sensitive issues in person, and building trust with a patient are very hard to automate. Studies note that patients and providers value the “human touch” – people worry AI might make care feel cold or unsafe [3] [2].
In practice, we haven’t found examples of AI deciding treatment changes or fully handling community referrals. Instead, AI is mostly used behind the scenes to help with records, not to replace a social worker’s judgment.

AI Adoption
Hospitals and clinics face big shortages and heavy paperwork, so there’s strong motivation to use AI to save time. In fact, health-tech leaders report growing interest: many systems plan big AI projects, especially generative AI for notes and coding [1]. “Ambient” AI that quietly transcribes conversations is already in use, and experts say this kind of technology could meaningfully reduce admin burdens [2] [4]. When simple tools are commercially available (like speech-to-text or basic chatbots), it can make sense to pilot them, especially since hiring more social workers is costly.
However, adoption still faces hurdles. A recent industry survey found most healthcare teams feel unprepared for AI – staff may lack the needed tech skills – and over 90% worry about privacy and security [1]. Many clinics run on older electronic health systems that are hard to upgrade.
Importantly, both workers and patients expect strict safeguards: people emphasize they want consent and human oversight if AI is used with their data [3]. In short, while AI tools can help with research and records, the hands-on, caring parts of social work remain firmly in human hands. The hope is that AI will take on routine tasks so social workers can focus on the personal, empathetic work that only people can do [2] [3].

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Median Wage
$68,090
Jobs (2024)
193,200
Growth (2024-34)
+7.7%
Annual Openings
18,400
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Investigate child abuse or neglect cases and take authorized protective action when necessary.
Counsel clients and patients in individual and group sessions to help them overcome dependencies, recover from illness, and adjust to life.
Organize support groups or counsel family members to assist them in understanding, dealing with, and supporting the client or patient.
Advocate for clients or patients to resolve crises.
Supervise and direct other workers providing services to clients or patients.
Develop or advise on social policy and assist in community development.
Plan and conduct programs to combat social problems, prevent substance abuse, or improve community health and counseling 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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