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Substance Abuse Counselor
Three components - Automation Resistance, Structural Moat, and Demand - add up to 66.
Federal labor data does not count substance-abuse counselors on their own; the wage, workforce, openings, and AI-exposure numbers use the combined Substance Abuse, Behavioral Disorder, and Mental Health Counselors occupation. That makes the scale useful, but not substance-use-only.
Paperwork and intake templates are exposed, but recovery support, relapse judgment, group facilitation, crisis response, confidentiality, and accountable treatment decisions keep replacement pressure limited. AI mostly reaches summaries, notes, resources, treatment-plan shells, compliance work, and routine checklists.
the combined counselor AI row: observed exposure was unavailable, and modeled median job-loss risk was 9.35%. Recovery counseling remains human and accountable, but the work is still language-heavy, so it does not get the hands-on clinical lift.
mostly adjacent and administrative support. Intake summaries, treatment-plan templates, risk checklists, referral matching, and note drafts can help the day, but many workers are employees in treatment programs where productivity gains do not flow fully to the counselor.
The moat is uneven because credential ladders vary by state and setting. Certification, licensure, supervised hours, national credential frameworks, confidentiality rules, and payer or court requirements protect many roles, but not uniformly. Entry recovery-support roles can be shorter-path, while clinical tracks carry deeper gates.
This estimate uses counseling rooms, treatment programs, residential settings, and court-linked or hospital-adjacent work. The job can involve crisis or difficult client situations, but the physical setting is still light compared with bedside or procedural healthcare.
real but uneven addiction-counseling credential ladders. Some roles require certification, licensure, supervised hours, or treatment-program standards; other entry settings are shorter and state rules vary sharply.
a non-physical recovery-counseling role. The automation question is software and documentation, not robots.
The full 5 of 5 follows the graduate counseling pathway plus state licensure, while noting that entry substance-use roles can vary by state and setting.
Demand is driven by treatment funding, Medicaid, courts, opioid response, residential and outpatient programs, and behavioral-health access. The broader counseling data group is large, but job quality depends on reimbursement and program budgets. Funding stability decides whether treatment need becomes a counselor seat.
Federal projections show 483.5K jobs, 16.8% growth, and 48.3K annual openings for the combined substance-use, mental-health, and behavioral-disorder counseling group. For this page, the scale supports demand, but it is not a substance-use-only count.
Addiction treatment, recovery programs, diversion courts, opioid treatment, and behavioral-health access create real need. Funding, state credential ladders, Medicaid rules, and treatment-program budgets decide how durable those jobs feel.
Demand stays resilient because recovery support, relapse-risk judgment, group work, and referrals stay human. The available wage comparison does not add a separate pay-pressure warning.
The threshold is a broad funding pullback across Medicaid, state treatment budgets, diversion programs, or opioid-response grants. A single nonprofit losing a grant would not be enough; the signal would need to affect normal treatment hiring. Medicaid and state treatment budgets would be the first signal.
A major expansion of medication-assisted-treatment teams would strengthen demand if counselors are funded as part of the care model. The trigger is not medication use alone; it is reimbursed team capacity that includes counseling, recovery support, and follow-up. Job descriptions would need to show follow-up staffing and recovery-support capacity.
AI intake or compliance tools would weaken the score only if providers use them to reduce counselor hours across normal programs. Draft notes, resource lists, or risk checklists by themselves would mostly support the clinician. Program compliance and supervision requirements would decide whether software cuts hours or speeds paperwork.