AI Resilience Report forChild, Family, and School Social Workers

Right now, AI is showing up in this profession as a helper, not a replacement — which makes sense given how much of the work depends on human trust and judgment. A national survey of 1,179 social workers ^[1] conducted by the Moritz Center for Societal Impact at The University of Texas at Austin School of Social Work in collaboration with NASW between October 2025 and February 2026 found that most U.S. social workers are already using artificial intelligence in their professional practice. The heaviest use is on the paperwork side: AI is used to manage routine tasks that can consume hours of a social worker's day — drafting emails, correspondence, reports, and documentation; providing administrative assistance; and conducting research.

That lines up with the tasks rated most automatable in your role (case records and information-gathering).

NASW's own practical guide for social workers ^[2] sums up the current boundary bluntly: "AI drafts; the social worker decides." Typical durable uses include structured first drafts of progress notes and biopsychosocial summaries, one-page intake briefs from long referral packets, translated appointment letters and intake forms, and administrative drafting like agency policy revisions and family-resource handouts.

Child welfare is also seeing algorithmic augmentation. In June 2026 the Department of Health and Human Services began offering states $6 million to pilot predictive analytics ^[3] to help agencies flag risk. ACF says that predictive analytics can help agencies identify low-risk families that don't need to be in the welfare system, as well as high-risk cases that need more immediate attention.

Although some child welfare agencies have already begun using more data tools and predictive analytics in their work, many still depend on standard weighted-question assessment tools that can be prone to error and bias. A University of Michigan / IBM Center roundtable ^[4] described real pilots — an AI chatbot that helps investigators securely locate and interpret child welfare policies, a contact-note tool that digitizes handwritten notes, and AI that scans court orders to automatically create referrals for clients. Counseling families, testifying in custody hearings, and interviewing kids about abuse — the tasks rated only 4–5% automatable — remain firmly human.

Adoption is moving faster than many expected, but with real brakes. On the speed-up side: commercial tools are cheap and everywhere (ChatGPT, Copilot, note-taker apps built into electronic health records), and the field faces enormous caseload pressure. The Bureau of Labor Statistics projects 6 percent employment growth for social workers from 2024 to 2034 against a deepening behavioral health workforce shortage, and AI is the lever clinicians and administrators reach for to absorb caseload pressure.

The federal government is now actively funding AI pilots in child welfare ^[5], which pulls agencies in the same direction.

On the slow-down side, ethical and legal concerns are massive because clients are often children in crisis. Survey respondents repeatedly raised concerns about ethics, confidentiality, data protection, informed consent, preparedness, and the risk that technology could overtake human judgment rather than support it. Two-thirds of respondents said the profession's most pressing need is clear guidelines on the ethical use of AI in social work, alongside stronger client protections, and more training.

A 2026 study in Child & Family Social Work ^[6] that compared ChatGPT to qualified social workers in child welfare judgments underscores why humans stay in the driver's seat. Practical barriers matter too: if client data touches the tool, the vendor needs a signed Business Associate Agreement, and consumer tiers generally do not offer one, which slows rollout in schools and agencies with tight budgets.