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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 74 comes from.

Three components - Automation Resistance, Structural Moat, and Demand - add up to 74.

Data note

Federal labor data does not count crime scene investigators separately; the wage, workforce, openings, and AI-exposure numbers use Forensic Science Technicians as the public comparison. Crime-scene work is a narrower public-safety and evidence-handling specialty.

FJP Durability Score
74/100
Automation Resistance
29/40

The exposed layer is review and reporting: image search, pattern comparison, transcription, lab triage, and drafting. The stronger floor is scene choice, evidence handling, chain of custody, and testimony in court tied to a named person.

Sub-components
Substitution Resistance
23/30

AI can compare images, search databases, transcribe notes, draft reports, and organize case material. That removes real workflow volume. The harder part is choosing what to photograph, collect, package, and preserve, then defending the chain of custody when the record is challenged.

Sources feeding this sub-component
Massenkoff-McCrory Generative AI Exposure (March 2026) → Observed AI-use data is low for physical and life-science investigative work.
MIT Iceberg Index → Skills-decomposition exposure across 923 occupations × 32K skills (October 2025). Crime-scene work scores low because physical-evidence-collection + chain-of-custody + courtroom-testimony tasks are underrepresented in current AI-tool surface.
Anthropic Economic Index → Legal-support and physical-evidence-handling tasks underrepresented in observed AI conversations.
Tufts American AI Jobs Risk Index → Tufts places the broader forensic-science comparison in a low-vulnerability band.
Augmentation Leverage
6/10

Software can help with report drafts, image sorting, database queries, lab triage, and quality review. Those tools may reduce backlog and improve consistency, but much of the gain flows to the agency or lab. Individual pay is usually set by public salary schedules and civil-service classifications.

Sources feeding this sub-component
AFIS + FBI NGI deployment data → About 50 state-level AFIS deployments plus federal FBI Next-Generation Identification for latent-print comparison.
STRmix + TrueAllele probabilistic-genotyping → DNA STR analysis at the analyst-augmentation tier. STRmix deployed across hundreds of crime labs globally per vendor disclosures.
ANDE 6C + Thermo Fisher RapidHIT → Rapid-DNA platforms compressing some lab-bench DNA work into hours rather than days.
Cellebrite Pathfinder + Magnet AXIOM → Digital evidence and image-review AI for phones, computers, video, and image evidence across large evidence sets.
Structural Moat
25/35

The moat comes from science training, evidence procedure, agency practice, courtroom readiness, and tolerance for difficult scenes. There is no single national license, so the protection is practical and agency-based rather than legally uniform. That makes the barrier real but uneven.

Sub-components
Physical & Environmental
7/10

The setting is not heavy labor, but it is demanding in other ways: death scenes, blood, decomposition, chemicals, outdoor conditions, late callouts, biohazards, and secondary trauma. The work requires steady attention while other people are emotional, rushed, or watching closely.

Sources feeding this sub-component
BLS Occupational Outlook Handbook — Forensic Science Technicians → Work conditions, in-person scene presence requirements, biohazard exposure.
NIJ Census of Publicly-Funded Forensic Crime Laboratories → Counts public crime-lab workforce and describes lab conditions.
Regulatory Moat
6/12

There is no single CSI license. The gate comes from agency hiring standards, lab accreditation, evidence procedures, courtroom rules, background checks, and local policy. That protects quality, but it is weaker than an occupation where state law reserves practice to license holders.

Sources feeding this sub-component
ASCLD/LAB + ANAB ISO/IEC 17025 → Crime-lab accreditation framework.
ASB (Academy Standards Board) + OSAC (NIST) → Forensic-science consensus standards.
Daubert + Frye + Federal Rules of Evidence 702 → Expert-witness admissibility framework at trial.
State crime-lab regulatory boards → Per-state crime-lab-analyst credentialing where applicable.
Robotics Resistance
8/8

Robotics does not replace scene investigation. A robot might help document a dangerous area, but ordinary cases still require a person to notice context, avoid contamination, collect correctly, and explain decisions. The deployment path is too narrow to change the score today.

Sources feeding this sub-component
IFR World Robotics → Shows service-robot deployment data, not crime-scene replacement.
Humanoid deployment trackers → Trackers show no clinical or scene-side humanoid deployments.
Credential Depth
4/5

Many jobs expect a bachelor's degree in forensic science, biology, chemistry, or criminal justice with science coursework, followed by agency training. Certification and specialty training can matter later. The credential path is deeper than a short certificate but not as formal as a licensed clinical profession.

Sources feeding this sub-component
IAI — International Association for Identification → Crime Scene Investigator, Crime Scene Analyst, and Crime Scene Reconstructionist certification tiers.
ABC — American Board of Criminalistics → Diplomate-level certification plus specialty-area exams for lab-bench analysts.
FEPAC — Forensic Science Education Programs Accreditation Commission → Undergraduate and graduate forensic-science program accreditation; about 100-plus accredited programs nationally.
Demand
20/25

Demand looks strong in percentage terms but small in real seats. The closest public comparison is forensic science technicians; forensic caseloads and court needs support hiring, while budgets and a small denominator keep the market selective.

Sub-components
Volume
9/10

The nearest public comparison is forensic science technicians: about 20,700 jobs, 12.8% projected growth, and 2,900 annual openings. The growth rate sounds high, but the denominator is small. This is a selective hiring pool, not a broad public-safety labor market.

Sources feeding this sub-component
Bureau of Labor Statistics Employment Projections → 20.7K jobs in 2024, 12.8% growth, and 2.9K annual openings on the forensic-science technician row.
Source Quality
6/8

Forensic demand is tied to caseloads, lab throughput, evidence standards, and courtroom proof. Those are real needs, but the nearest public comparison is broader than crime scene investigation alone and public budgets control staffing. The source is useful, not perfectly clean.

Sources feeding this sub-component
NIST Organization of Scientific Area Committees for Forensic Science → Covers forensic-science standards and evidence-quality expectations.
Resilience
5/7

Chain of custody, evidence integrity, scene notes, and testimony keep a human role in the loop. AI may speed search or reports, but the legal system still needs a person who can explain what was done. Budget limits and small openings are the main resilience checks.

Sources feeding this sub-component
Bureau of Labor Statistics occupational outlook profile → Describes forensic evidence collection, analysis, reporting, and testimony.
Three things that would move the score.
Scenario 1
A multi-state Crime Scene Investigator or crime-lab-analyst compact reaches activation.

If states or crime-lab systems recognize a portable CSI or crime-lab credential, the moat improves modestly. It would need shared evidence-handling standards, chain-of-custody training, and hiring recognition. A professional certificate alone is not enough unless agencies treat it as a real gate.

Direction
Up, modest
Components affected
Structural Moat
Scenario 2
Rapid-DNA and probabilistic-genotyping deployment expands.

If rapid-DNA, probabilistic genotyping, and digital triage let labs clear more cases with fewer dedicated scene investigators, demand weakens. If deployment instead expands caseload expectations, the effect is smaller. Look for dedicated funded scene positions, not just faster lab tools.

Direction
Down on Demand, modest
Components affected
Demand
Scenario 3
Federal crime-lab funding expansion or contraction.

If federal or state crime-lab funding expands, small agencies can fund more civilian scene, evidence, or lab-adjacent seats. If grants contract, the work may fold back into sworn patrol or regional labs. The demand signal is budgeted positions, not forensic visibility after high-profile cases.

Direction
Either way
Components affected
Demand
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Last reviewed June 2026 · Next September 2026