US dataswitch to UK
Forensic Science Technicians
collecting evidence from crime scenes, examining physical evidence, such as hair and operating and maintaining laboratory equipment and apparatus. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: testifying in court about investigative or analytical methods or findings is work software can't reach.
What shifts is keeping records and preparing reports detailing findings. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
Collect, identify, classify, and analyze physical evidence related to criminal investigations. Perform tests on weapons or substances, such as fiber, hair, and tissue to determine significance to investigation. May testify as expert witnesses on evidence or crime laboratory techniques. May serve as specialists in area of expertise, such as ballistics, fingerprinting, handwriting, or biochemistry. The job title says “forensic science technicians”. The real job is the part underneath: testifying in court about investigative or analytical methods or findings. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But forensic science technicians is not one task. It is 24 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is testifying in court about investigative or analytical methods or findings, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 0%
- changing shape
- 15%
- staying human
- 85%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 15 out of 100 (12–21 allowing for uncertainty): minimal exposure, across 24 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for forensic science technicians is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
0 tasksTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.
Changing shape
4 tasksTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Keeping records and preparing reports detailing findings
The software now makes the first pass at records, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 5 · CoreSource: “Keep records and prepare reports detailing findings, investigative methods, and laboratory techniques.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Software drafts case reports well from the findings, but an accredited analyst normally has to stand behind what they say.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Interpreting laboratory findings or testing results to identify and classify substances
The software now makes the first pass at laboratory findings, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Interpret laboratory findings or test results to identify and classify substances, materials, or other evidence collected at crime scenes.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Matching instrument results against reference libraries is already largely software, though the qualified analyst issues the finding.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing forensic analysts' reports for technical merit
The software now makes the first pass at forensic analysts' reports, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Review forensic analysts' reports for technical merit.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Checking a colleague's report for technical soundness is document review software does well, though accreditation expects a qualified analyst.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing data from computers or other digital media sources for evidence related to criminal activity
The software now makes the first pass at data, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · SupplementalSource: “Analyze data from computers or other digital media sources for evidence related to criminal activity.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching computers and phones for evidence is heavily tool-driven work that software already does much of.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Staying human
20 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Testifying in court about investigative or analytical methods or findings
This work happens in the physical world: court, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Testify in court about investigative or analytical methods or findings.” (O*NET task statement)
How this row was scored
Exposure score: 1 out of 100 (0–5 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Only a sworn person can give evidence in court, and how a jury reads that person matters.
The five ratings: output a model can produce 0/4 · needs a body in a room 3/4 · needs an accountable person 4/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Using photographic or video equipment to document evidence or crime scenes
This work happens in the physical world: photographic, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Use photographic or video equipment to document evidence or crime scenes.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Photographing a scene or an item of evidence means being there with a camera.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collecting evidence from crime scenes
This work happens in the physical world: evidence, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Collect evidence from crime scenes, storing it in conditions that preserve its integrity.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Collecting evidence means being at the scene and physically handling and packaging it.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Training new technicians or other personnel on forensic science techniques
This work happens in the physical world: new technicians, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Train new technicians or other personnel on forensic science techniques.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Course material is easy to produce, but showing a new technician how to handle evidence happens in person.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Visiting morgues
This work happens in the physical world: morgues, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Visit morgues, examine scenes of crimes, or contact other sources to obtain evidence or information to be used in investigations.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Going to morgues and crime scenes to gather evidence means physically being there.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Collecting impressions of dust from surfaces to obtain and identify fingerprints
This work happens in the physical world: impressions of dust, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Collect impressions of dust from surfaces to obtain and identify fingerprints.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting dust impressions off a surface is delicate hands-on work at the scene.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Show the other 14 tasks
Reconstructing crime scenes to determine relationships among pieces of evidence
staying humanThe ratings behind this row put crime scenes well outside what today's tools can do on their own.
importance 4 · SupplementalSource: “Reconstruct crime scenes to determine relationships among pieces of evidence.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Piecing together how a scene fits together can largely be reasoned from photographs, measurements and notes.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Conferring with ballistics, fingerprinting, handwriting, documents, electronics, medical, chemical or metallurgical experts concerning evidence and its interpretation
staying humanThe value here is that a specific person handles this work and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Confer with ballistics, fingerprinting, handwriting, documents, electronics, medical, chemical, or metallurgical experts concerning evidence and its interpretation.” (O*NET task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Comparing notes with other specialists is a professional conversation where each expert's judgment carries weight.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Using chemicals or other substances to examine latent fingerprint evidence and compare developed prints to those of known persons in databases
staying humanThis work happens in the physical world: chemicals, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Use chemicals or other substances to examine latent fingerprint evidence and compare developed prints to those of known persons in databases.” (O*NET task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Database matching of prints is already automated, but chemical developing is bench work and a qualified examiner makes the call.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining types of bullets and specific weapons used in shootings
staying humanThis work happens in the physical world: types of bullets, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Determine types of bullets and specific weapons used in shootings.” (O*NET task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Reference databases help identify a bullet type, but comparison microscopy is bench work and the conclusion is the examiner's.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing gunshot residue and bullet paths to determine how shootings
staying humanThis work happens in the physical world: gunshot residue, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Analyze gunshot residue and bullet paths to determine how shootings occurred.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Trajectories can be calculated and modeled, but sampling residue and working the scene involves physical work by a qualified analyst.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Examining footwear, tire tracks or other types of impressions
staying humanThis work happens in the physical world: footwear, tire tracks or other types of impressions, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Examine footwear, tire tracks, or other types of impressions.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Software compares images of prints well, but casting and handling the impression is physical and the conclusion is the examiner's.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Identifying and quantifying drugs or poisons found in biological fluids or tissues
staying humanThis work happens in the physical world: drugs, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Identify and quantify drugs or poisons found in biological fluids or tissues, in foods, or at crime scenes.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Identifying and measuring drugs in a sample is instrument work at the bench, even though reading the output is computational.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Comparing objects, such as tools
staying humanThis work happens in the physical world: objects, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Compare objects, such as tools, with impression marks to determine whether a specific object is responsible for a specific mark.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Matching a tool to a mark is done under a comparison microscope with both objects in hand.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Examining and analyzing blood stain patterns at crime scenes
staying humanThis work happens in the physical world: blood stain patterns, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Examine and analyze blood stain patterns at crime scenes.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Reading blood stain patterns means being in the room where they are, and a qualified analyst makes the finding.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Examining physical evidence, such as hair, biological fluids, fiber, wood or soil residues to obtain information about its source and composition
staying humanThis work happens in the physical world: physical evidence, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Examine physical evidence, such as hair, biological fluids, fiber, wood, or soil residues to obtain information about its source and composition.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Examining hair, fiber and fluid samples is instrument work at a bench, issued under an analyst's name.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Operating and maintaining laboratory equipment and apparatus
staying humanThis work happens in the physical world: laboratory equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Operate and maintain laboratory equipment and apparatus.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Running and maintaining laboratory instruments is hands-on work at the bench.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Preparing solutions, reagents or sampling formulations needed for laboratory work
staying humanThis work happens in the physical world: solutions, reagents or sampling formulations, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Prepare solutions, reagents, or sample formulations needed for laboratory work.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Making up reagents and sample solutions is hands-on bench work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining firearms to determine mechanical condition and legal status
staying humanThis work happens in the physical world: firearms, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Examine firearms to determine mechanical condition and legal status, performing restoration work on damaged firearms to obtain information, such as serial numbers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Examining and restoring a firearm is hands-on work with the weapon.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Measuring and sketching crime scenes to document evidence
staying humanThis work happens in the physical world: crime scenes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Measure and sketch crime scenes to document evidence.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Measuring and sketching a scene means being in it with a tape measure.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
What this job pays, and how many people do it
- Median pay
- $72,060a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 19,120in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: records in, a record out. The rows above are exactly that shape: keeping records and preparing reports detailing findings. What it cannot do is be answerable: court needs a named person the rules will accept, and software cannot be that person. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Start with what does not change: testifying in court about investigative or analytical methods or findings is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 0% of this job's task weight sits in rows the software is already learning, 15% in rows that change shape rather than disappear, and 85% in rows it is nowhere near. That is the position, measured across 24 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Keeping records and preparing reports detailing findings is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to records, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether court is in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near keeping records and preparing reports detailing findings. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to forensic science technicians (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was detectives and criminal investigators: only about 8% of its durable work is work you already do. And on the numbers you do not need one. This job scores 15/100 here, with only 0% of the task list in the top band, and “testify in court about investigative or analytical methods or findings” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
Detectives and Criminal Investigators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already measure and sketch crime scenes to document evidence, and their equivalent is to photograph crime or accident scenes for evidence records. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Geological Technicians, Except Hydrologic Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already operate and maintain laboratory equipment and apparatus, and their equivalent is to test and analyze samples to determine their content and characteristics, using laboratory apparatus…. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $53,350 against your $72,060, 26.0% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Chemists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already prepare solutions, reagents, or sample formulations needed for laboratory work, and their equivalent is to prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 0% of its task weight, across 24 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like testifying in court about investigative or analytical methods or findings arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Quality assurance technicians is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
The other groups this work is counted across:
In UK official statistics this job is counted as Quality assurance technicians and Science, engineering and production technicians n.e.c.. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
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Why there is no community here
Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.
So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.
Noted, and thank you. We’ll email you if a Space for forensic science technicians launches. Nothing else.
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No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace Forensic Science Technicians?
- Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Forensic Science Technicians (United States, SOC 19-4092), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 15 out of 100 (range 12–21, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “Forensic Science Technicians” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Interpret laboratory findings or test results to identify and classify substances, materials, or other evidence collected at crime scenes” (56/100, partial); “Keep records and prepare reports detailing findings, investigative methods, and laboratory techniques” (56/100, partial); “Review forensic analysts' reports for technical merit” (56/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “Forensic Science Technicians” stay human?
- About 85% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Measure and sketch crime scenes to document evidence” (0/100, minimal); “Use photographic or video equipment to document evidence or crime scenes” (0/100, minimal); “Examine firearms to determine mechanical condition and legal status, performing restoration work on damaged firearms to obtain information, such as serial nu…” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “Forensic Science Technicians” do about AI?
- Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 85% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for Forensic Science Technicians calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 24 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
Worth knowing about these figures
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.
