Marriage and Family Therapists: daily tasks & AI impact
This page breaks Marriage and Family Therapists into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 31/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Encourage individuals and family members to develop and use skills and strategies for confronting their problems in a constructive manner. Core | 4.77 | — | — |
| Ask questions that will help clients identify their feelings and behaviors. Core | 4.74 | — | — |
| Develop and implement individualized treatment plans addressing family relationship problems, destructive patterns of behavior, and other personal issues. Core | 4.64 | — | — |
| Maintain case files that include activities, progress notes, evaluations, and recommendations. Core | 4.61 | — | — |
| Counsel clients on concerns, such as unsatisfactory relationships, divorce and separation, child rearing, home management, or financial difficulties. Core | 4.51 | — | — |
| Collect information about clients, using techniques such as testing, interviewing, discussion, or observation. Core | 4.51 | — | — |
| Confer with clients to develop plans for posttreatment activities. Core | 4.05 | — | — |
| Confer with other counselors, doctors, and professionals to analyze individual cases and to coordinate counseling services. Core | 3.99 | — | — |
| Determine whether clients should be counseled or referred to other specialists in such fields as medicine, psychiatry, or legal aid. Core | 3.96 | — | — |
| Follow up on results of counseling programs and clients' adjustments to determine effectiveness of programs. Supplemental | 3.53 | — | — |
| Supervise other counselors, social service staff, and assistants. Supplemental | 3.42 | — | — |
| Provide instructions to clients on how to obtain help with legal, financial, and other personal issues. Core | 3.37 | — | — |
| Provide public education and consultation to other professionals or groups regarding counseling services, issues, and methods. Core | 3.36 | — | — |
| Gather information from doctors, schools, social workers, juvenile counselors, law enforcement personnel, and others to make recommendations to courts for resolution of child custody or visitation disputes. Supplemental | 3.28 | — | — |
| Write evaluations of parents and children for use by courts deciding divorce and custody cases, testifying in court if necessary. Supplemental | 3.19 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Marriage and Family Therapists tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Marriage and Family Therapists tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Marriage and Family Therapists task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.