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Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

51.4%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Forensic Science Technicians

They help solve crimes by collecting and analyzing evidence from crime scenes, like fingerprints and DNA, to figure out what happened.

Summary

Forensic Science Technician roles are evolving because AI is increasingly used to handle routine tasks like DNA extraction and data analysis, making these processes faster and more efficient. However, human judgment is still crucial for interpreting results, writing reports, and explaining findings in court.

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Summary

Forensic Science Technician roles are evolving because AI is increasingly used to handle routine tasks like DNA extraction and data analysis, making these processes faster and more efficient. However, human judgment is still crucial for interpreting results, writing reports, and explaining findings in court.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

47.5%

47.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

40.7%

40.7%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

59.7%

59.7%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

12.8%

Growth Percentile:

95.6%

Annual Openings:

2.9

Annual Openings Pct:

29.0%

Analysis of Current AI Resilience

Forensic Science Tech

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Forensic lab work does use some automation, but humans are still essential. Today many labs have robotic systems to handle routine lab work: for example, “DNA extraction” and sample preparation can be done by machines to speed up processing [1]. Computers also help analyze data.

In fact, many crime labs now use computer algorithms (like probabilistic genotyping) to match DNA or fingerprints, and experts accept these methods as valid [1]. Even image analysis is getting smarter – studies show deep-learning programs can match faces more accurately than people [1]. However, researchers emphasize that AI is a helper, not a replacement, for forensic scientists [1].

Tasks that demand human judgment remain with people: writing up reports in clear language, consulting with other experts about tricky evidence, photographing a crime scene carefully, and later explaining findings in court. In short, technology handles some of the repetitive work (like mixing chemicals or running machines), but forensic technicians still review all results and make the final calls.

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AI Adoption

AI Adoption

New AI tools in forensics must meet strict accuracy and legal standards before they are adopted. Any automated method used in court has to be very reliable and well-understood. For example, even at labs that use advanced DNA software, experts work hard to validate and justify the AI’s output [1].

Another factor is cost and training. Forensic labs are usually run by government agencies or police, not big tech firms, so budgets can be tight. In one case, a state crime lab bought new instruments to detect drugs but still struggled with staffing and funding [2].

That shows it can take time before expensive new technology is fully in place. Social and ethical concerns also matter: judges and juries expect transparency, so “black box” AI is used carefully. Overall, researchers note that even though AI is improving, technology changes in jobs often happen slowly.

Human skills – careful observation, ethical judgment, and clear communication in court – remain essential in forensic work [1] [1]. Despite new tools, people are still the core of solving crimes, and experts believe AI will assist them rather than replace them [1].

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More Career Info

Career: Forensic Science Technicians

Employment & Wage Data

Median Wage

$67,440

Jobs (2024)

20,700

Growth (2024-34)

+12.8%

Annual Openings

2,900

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Testify in court about investigative or analytical methods or findings.

2

65% ResilienceCore Task

Collect evidence from crime scenes, storing it in conditions that preserve its integrity.

3

65% ResilienceCore Task

Visit morgues, examine scenes of crimes, or contact other sources to obtain evidence or information to be used in investigations.

4

65% ResilienceCore Task

Confer with ballistics, fingerprinting, handwriting, documents, electronics, medical, chemical, or metallurgical experts concerning evidence and its interpretation.

5

65% ResilienceCore Task

Use photographic or video equipment to document evidence or crime scenes.

6

65% ResilienceSupplemental

Analyze gunshot residue and bullet paths to determine how shootings occurred.

7

65% ResilienceSupplemental

Examine physical evidence, such as hair, fiber, wood, or soil residues to obtain information about its source and composition.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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