Probation Officer
Probation Officer scores 27/100 on this site's structural exposure measure — the paperwork side of the job (case notes, scheduling, report drafting) overlaps meaningfully with what AI writing and summarization tools already do.
We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.
What a probation officer actually does
Probation officers supervise people who have been sentenced to community supervision instead of, or in addition to, incarceration, working to balance public safety against an offender's rehabilitation. The job centers on regular face-to-face contact: home and workplace visits, drug testing, verifying employment or treatment-program attendance, and building enough of a working relationship with a supervisee to actually detect when something is going wrong before it becomes a violation.
Officers conduct presentencing investigations that judges rely on to set sentences, write formal reports and recommendations to the court, testify in violation hearings, and make judgment calls about whether a technical slip warrants a warning, added conditions, or a return to court.
Correctional treatment specialists, grouped in the same occupational category, design and monitor individualized rehabilitation plans, coordinate with treatment providers, and assess an offender's risk and progress over time — work that leans heavily on interviewing skill, professional judgment, and the kind of rapport that makes someone more likely to tell a probation officer the truth than to just tell them what they want to hear.
Why it reads this way
Probation Officer scores 27/100 on this site's structural exposure measure — the paperwork side of the job (case notes, scheduling, report drafting) overlaps meaningfully with what AI writing and summarization tools already do.
What the score doesn't capture is how much of the actual work is relational and legally consequential in a way current AI can't perform: interviewing a supervisee to assess honesty and risk, building the rapport that surfaces problems early, testifying in court about a violation, and making a documented judgment call about whether to escalate a case — all of it under a court's direct authority.
Independent risk-modeling estimates (Frey-Osborne-style automation-probability scoring) put this occupation's computerization probability at just 17%, among the lowest of any occupation modeled, and current academic research on AI in probation (Phillips, 2026, in a peer-reviewed criminology journal) frames AI's realistic near-term role as easing administrative burden — transcription, meeting summaries, drafting routine correspondence — while treating the relational, judgment-heavy core of supervision as staying human, and explicitly cautions that probation leadership must protect face-to-face time with supervisees rather than let AI-freed hours get absorbed into larger caseloads.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$46,840–$107,790
Average: $66,270/yr
Range source: BLS OEWS wage data via O*NET OnLine (2025 release), SOC 21-1092.00 'Probation Officers and Correctional Treatment Specialists'
Average source: BLS OEWS wage data for Probation Officers and Correctional Treatment Specialists (21-1092.00) via O*NET OnLine, 2025 wage data (Annual Median Wage)
Head-to-head comparisons
Probation Officer scores 27/100 — report writing and case notes overlap with what AI drafting tools handle well, but the core of the job is relational and legally consequential in ways current AI can't perform: interviewing to assess honesty and risk, building rapport that surfaces problems early, testifying in court, and making documented escalation judgment calls under a court's authority. Independent Frey-Osborne-style automation-probability estimates put this occupation at just 17%, among the lowest modeled. Current peer-reviewed research (Phillips, 2026) frames AI's realistic near-term role as easing administrative burden while explicitly warning leadership to protect face-to-face supervision time rather than let AI-freed hours get absorbed into larger caseloads, as of 2026-08-12.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-12.
Sources (5)
- https://www.onetonline.org/link/summary/21-1092.00
- https://www.onetonline.org/link/localwages/21-1092.00
- https://journals.sagepub.com/doi/10.1177/02645505251408121
- https://willrobotstakemyjob.com/probation-officers-and-correctional-treatment-specialists
- https://www.cep-probation.org/artificial-intelligence-ai-and-probation-services-by-mike-nellis/
Data sources & methodology
Salary data: BLS OEWS wage data via O*NET OnLine (2025 release), SOC 21-1092.00 'Probation Officers and Correctional Treatment Specialists'. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS OEWS wage data for Probation Officers and Correctional Treatment Specialists (21-1092.00) via O*NET OnLine, 2025 wage data (Annual Median Wage).
Automation Risk Score: Based on O*NET occupational analysis (21-1092.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: 3-4% (2024-2034), about as fast as the average for all occupations (BLS OOH / O*NET OnLine projections), based on BLS Occupational Outlook Handbook.