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This page explains how the Durability Score is built — the components, the evidence behind each one, and the named sources. For who this work fits and what a career path through it looks like, see the Deep Read. For your personalized match, take the free quiz.
Where the 64 comes from.

Three components - Automation Resistance, Structural Moat, and Demand - add up to 64.

FJP Durability Score
64/100
Automation Resistance
31/40

Automation helps facilities monitor, scan, schedule, classify, and document, but direct custody remains human. Counts, searches, escorts, conflict, emergencies, and use-of-force decisions keep substitution pressure lower than the weak demand score. Facility technology changes the workflow, not the custody obligation.

Sub-components
Substitution Resistance
27/30

Cameras, scanners, electronic locks, and classification tools can support a facility, but officers still run counts, supervise housing units, search cells, escort people, respond to fights, and make force decisions. Direct custody in confined space remains human-staffed.

Sources feeding this sub-component
Massenkoff-McCrory → Protective Service occupations cluster floor.
MIT Iceberg Index → Skills-decomposition; in-person supervision + judgment-under-uncertainty.
Anthropic Economic Index → Inmate-supervision underrepresented in observed AI conversations.
Tufts American AI Jobs Risk Index → Protective Service cluster low-vulnerability.
BLS OOH — Correctional Officers and Bailiffs → Federal commentary on AI exposure.
Augmentation Leverage
4/10

Technology can help with camera review, contraband detection, scheduling, incident reports, classification summaries, and intelligence notes. Those gains mostly help the facility operate with limited staff. Pay still follows agency schedules, overtime rules, union contracts, or contractor budgets.

Sources feeding this sub-component
Briefcam + Genetec + Avigilon → Security-camera AI video analytics deployed at scale across major-state DOCs.
COMPAS + LSI-R + Static-99R → Predictive-risk-assessment AI (controversial).
Case-management AI vendors → Inmate classification + facility-routing.
Structural Moat
25/35

The moat is facility-based rather than portable: academy, policy, background checks, on-the-job training, and physical tolerance. The confined setting and overtime burden protect the seat more than formal credential prestige does. The job's barrier is staying steady in the environment.

Sub-components
Physical & Environmental
8/10

Corrections is physically and emotionally demanding in a facility-bound way: standing, walking tiers, searches, restraints, escorts, lifting, wetness, pathogens, noise, confrontation, and mandatory overtime. The confinement setting adds pressure even when the job is less open-street than policing.

Sources feeding this sub-component
BLS OOH — Correctional Officers and Bailiffs → Confined-space + occasional confrontation + shift work.
AFSCME + ACA + BJS officer-mental-health research → Officer-suicide + PTSD + cardiovascular elevated.
Regulatory Moat
6/12

The gate is agency-specific: background checks, academy, use-of-force training, facility procedure, probation, and civil-service or contractor hiring rules. Professional standards exist, but there is no strong portable national corrections license that reserves practice across jurisdictions.

Sources feeding this sub-component
State Departments of Correction → Per-state corrections-officer training + employment + scope.
ACA (American Correctional Association) → Accreditation framework + corrections-officer training standards.
BOP + USMS + NIC → Federal corrections employer + training authority.
Archbridge State Occupational Licensing Index 2025 → Per-state corrections-officer licensure barriers.
Robotics Resistance
8/8

Facility automation can monitor doors, scan bodies, and move information, but robots do not replace custody staff inside ordinary housing units. The hard work is human supervision, conflict control, emergency response, and judgment when people resist or conditions change.

Sources feeding this sub-component
IFR World Robotics → Service-robotics deployment data.
Credential Depth
3/5

Most entry paths require high school or equivalent, academy training, policy instruction, on-the-job supervision, and facility-specific procedures. The training is real, but shorter and less formal than bachelor's or graduate pipelines, so the credential-depth protection is limited.

Sources feeding this sub-component
State DOC academy + ACA accreditation → Per-state academy + cross-state recognition framework.
BOP Academy at FLETC → Federal corrections-officer training.
Demand
8/25

Demand is the drag. The occupation is projected to shrink, even while turnover creates many openings. Prison and jail populations, closures, staffing ratios, safety conditions, overtime, and budgets drive the market. A shrinking occupation can still hire constantly because churn is high.

Sub-components
Volume
1/10

Federal projections show about 387,500 jobs, a 7.8% decline, and 30,100 annual openings. The openings are large because turnover and replacement are large, not because the occupation is expanding. That is the central demand caution.

Sources feeding this sub-component
Bureau of Labor Statistics Employment Projections → 387.5K jobs in 2024, -7.8% growth, and 30.1K annual openings; the openings component is discounted because employment is projected to shrink.
Source Quality
2/8

Corrections demand depends on jail and prison populations, facility closures, criminal-justice policy, staffing ratios, overtime, safety incidents, and state or county budgets. Police staffing sources should not be imported; corrections has its own facility-driven labor market.

Sources feeding this sub-component
Bureau of Labor Statistics occupational outlook profile → Describes correctional-officer work and the projected employment decline.
Resilience
5/7

Facilities still need people to supervise, search, escort, count, and respond. That makes the work resilient to full software substitution. It does not protect the number of jobs from policy decisions, closures, sentencing changes, or budget cuts.

Sources feeding this sub-component
Bureau of Labor Statistics occupational outlook profile → Supports the custody, security, and projected-decline read.
Three things that would move the score.
Scenario 1
Criminal-justice reform reverses or accelerates.

If incarceration levels fall further and states close facilities, the demand score weakens even if remaining prisons are understaffed. The trigger is funded positions disappearing, not a temporary dip in applications. Watch closures and funded staffing, not only vacancy ads.

Direction
Up or down (score 71–76 range)
Scenario 2
Surveillance AI accelerates or hits a regulatory wall.

If surveillance AI moves beyond cameras, scanners, and classification notes into real housing-unit supervision, automation pressure rises. If safety rules, court orders, or staffing-ratio standards require more human officers despite new tools, the pressure eases. The evidence has to be staffing plans, not vendor demos.

Direction
Up or down (Automation Resistance 30–32 range)
Scenario 3
A national corrections-officer licensing compact gets enacted.

If states create a recognized corrections-officer credential or compact, the moat could improve through portable standards, training, and discipline records. It matters only if facilities use it for hiring and advancement. A paper credential without pay or staffing changes would not move much.

Direction
Up, modest (1–2 points)
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Last reviewed June 2026 · Next September 2026