Futureproof

US dataswitch to UK

Public Safety Telecommunicators

providing emergency medical instructions to callers, monitoring various radio frequencies and reading and effectively interpreting small-scale maps and information from a computer screen to determine locations and provide directions. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: reading and effectively interpreting small-scale maps and information from a computer screen to determine locations and provide directions is work AI now does quickly and cheaply, and learning material and passing required tests for certification is work it can't touch.

Your move: what you can actually do about this ↓

Which half fills your week decides your exposure. Moving toward the second half is a real, doable plan.

Your week, as this page understands it

Operate telephone, radio, or other communication systems to receive and communicate requests for emergency assistance at 9-1-1 public safety answering points and emergency operations centers. Take information from the public and other sources regarding crimes, threats, disturbances, acts of terrorism, fires, medical emergencies, and other public safety matters. May coordinate and provide information to law enforcement and emergency response personnel. May access sensitive databases and other information sources as needed. May provide additional instructions to callers based on knowledge of and certification in law enforcement, fire, or emergency medical procedures. The job title says “public safety telecommunicators”. The real job is the part underneath: learning material and passing required tests for certification. 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 public safety telecommunicators is not one task. It is 18 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is learning material and passing required tests for certification, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI
45%
changing shape
19%
staying human
37%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 55 out of 100 (4962 allowing for uncertainty): partial exposure, across 18 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 public safety telecommunicators 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 2026-08-04. 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.

Shifting to AI

8 tasks

Tasks 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.

  • Recording details of calls, dispatches and messages

    This is reading one thing and writing another: details of calls, dispatches and messages in, a record out. That is the shape today's tools are built for.

    importance 5 · Core
    Source:Record details of calls, dispatches, and messages.” (O*NET task statement)
    How this row was scored

    Exposure score: 81 out of 100 (7785 allowing for uncertainty): very high exposure, high 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: Logging call and dispatch details is record-keeping that systems already capture as it happens.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Reading and effectively interpreting small-scale maps and information from a computer screen to determine locations and provide directions

    This is reading one thing and writing another: interpreting small-scale maps in, a record out. That is the shape today's tools are built for.

    importance 5 · Core
    Source:Read and effectively interpret small-scale maps and information from a computer screen to determine locations and provide directions.” (O*NET task statement)
    How this row was scored

    Exposure score: 93 out of 100 (8997 allowing for uncertainty): very high exposure, high 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: Working out a location from a map and giving directions is what mapping software does best.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Entering, updating

    This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.

    importance 5 · Core
    Source:Enter, update, and retrieve information from teletype networks and computerized data systems regarding such things as wanted persons, stolen property, vehicle registration, and stolen vehicles.” (O*NET task statement)
    How this row was scored

    Exposure score: 69 out of 100 (6276 allowing for uncertainty): high 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: Querying and updating criminal justice databases is a records job software handles, under certified access rules.

    The five ratings: output a model can produce 4/4 · 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.

  • Answering routine inquiries and referring calls not requiring dispatches to appropriate departments and agencies

    This is reading one thing and writing another: routine inquiries in, a record out. That is the shape today's tools are built for.

    importance 4 · Core
    Source:Answer routine inquiries, and refer calls not requiring dispatches to appropriate departments and agencies.” (O*NET task statement)
    How this row was scored

    Exposure score: 79 out of 100 (7286 allowing for uncertainty): high 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: Routine enquiries and call transfers are exactly what automated call handling already covers.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Changing shape

3 tasks

Tasks 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.

  • Determining response requirements and relative priorities of situations

    The software now makes the first pass at response requirements, 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 · Core
    Source:Determine response requirements and relative priorities of situations, and dispatch units in accordance with established procedures.” (O*NET task statement)
    How this row was scored

    Exposure score: 48 out of 100 (4155 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 a call to the right response follows set rules that dispatch software already applies.

    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 1/4 · how much data exists 3/4.

  • Relaying information and messages to and from emergency sites

    The software now makes the first pass at information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.

    importance 5 · Core
    Source:Relay information and messages to and from emergency sites, to law enforcement agencies, and to all other individuals or groups requiring notification.” (O*NET task statement)
    How this row was scored

    Exposure score: 56 out of 100 (4963 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: Passing messages between units and agencies is routing work systems do quickly and accurately.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

  • Scanning status charts and computer screens

    The software now makes the first pass at status charts, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.

    importance 5 · Core
    Source:Scan status charts and computer screens, and contact emergency response field units to determine emergency units available for dispatch.” (O*NET task statement)
    How this row was scored

    Exposure score: 56 out of 100 (4963 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: Checking which units are free is a status-board task dispatch systems already track automatically.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Staying human

7 tasks

Tasks 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.

  • Questioning callers to determine their locations and the nature of their problems to determine type of response

    The value here is that a specific person handles callers and stands behind it. That is earned, not computed.

    importance 5 · Core
    Source:Question callers to determine their locations and the nature of their problems to determine type of response needed.” (O*NET task statement)
    How this row was scored

    Exposure score: 28 out of 100 (2135 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.

    The rating behind it: Getting a location and the facts out of a distressed caller depends on how you speak to them.

    The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.

  • Receiving incoming telephone or alarm system calls regarding emergency and non-emergency police and fire service

    The value here is that a specific person handles telephone and stands behind it. That is earned, not computed.

    importance 5 · Core
    Source:Receive incoming telephone or alarm system calls regarding emergency and non-emergency police and fire service, emergency ambulance service, information, and after-hours calls for departments within a city.” (O*NET task statement)
    How this row was scored

    Exposure score: 35 out of 100 (2842 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.

    The rating behind it: Automated systems answer routine calls, but emergency intake still turns on how the caller is handled.

    The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Learning material and passing required tests for certification

    The rules require a named, qualified person to answer for material, and that person cannot be a piece of software.

    importance 4 · Core
    Source:Learn material and pass required tests for certification.” (O*NET task statement)
    How this row was scored

    Exposure score: 19 out of 100 (731 allowing for uncertainty): minimal exposure, low confidence.

    Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.

    The rating behind it: Study material is easy to produce, but the certification has to be earned by the person.

    The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Show the other 8 tasks
  • Observing alarm registers and scanning maps to determine whether a specific emergency is in the dispatch service area

    shifting to AI

    This is reading one thing and writing another: alarm registers in, a record out. That is the shape today's tools are built for.

    importance 4 · Core
    Source:Observe alarm registers and scan maps to determine whether a specific emergency is in the dispatch service area.” (O*NET task statement)
    How this row was scored

    Exposure score: 93 out of 100 (8997 allowing for uncertainty): very high exposure, high 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: Checking whether an alarm falls inside the service area is a straightforward map lookup.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Monitoring alarm systems to detect emergencies

    shifting to AI

    This is reading one thing and writing another: alarm systems in, a record out. That is the shape today's tools are built for.

    importance 4 · Supplemental
    Source:Monitor alarm systems to detect emergencies, such as fires and illegal entry into establishments.” (O*NET task statement)
    How this row was scored

    Exposure score: 93 out of 100 (8997 allowing for uncertainty): very high exposure, high 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: Watching alarm systems for fire or intrusion is monitoring that software already does continuously.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Maintaining files of information relating to emergency calls

    shifting to AI

    This is reading one thing and writing another: files of information in, a record out. That is the shape today's tools are built for.

    importance 4 · Core
    Source:Maintain files of information relating to emergency calls, such as personnel rosters and emergency call-out and pager files.” (O*NET task statement)
    How this row was scored

    Exposure score: 75 out of 100 (6882 allowing for uncertainty): high 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: Keeping rosters and call-out files up to date is records work software handles well.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Monitoring various radio frequencies, such as those used by public works departments, school security and civil defense

    shifting to AI

    This is reading one thing and writing another: various radio frequencies in, a record out. That is the shape today's tools are built for.

    importance 5 · Core
    Source:Monitor various radio frequencies, such as those used by public works departments, school security, and civil defense, to stay apprised of developing situations.” (O*NET task statement)
    How this row was scored

    Exposure score: 66 out of 100 (5973 allowing for uncertainty): high 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: Listening across radio channels for developing incidents is monitoring work software does tirelessly.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Testing and adjusting communication and alarm systems

    staying human

    This work happens in the physical world: communication, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source:Test and adjust communication and alarm systems, and report malfunctions to maintenance units.” (O*NET task statement)
    How this row was scored

    Exposure score: 29 out of 100 (2236 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.

    The rating behind it: Faults can be flagged automatically, but testing and adjusting the equipment means hands on it.

    The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Maintaining access to and security of, highly sensitive materials

    staying human

    The rules require a named, qualified person to answer for access, and that person cannot be a piece of software.

    importance 5 · Core
    Source:Maintain access to, and security of, highly sensitive materials.” (O*NET task statement)
    How this row was scored

    Exposure score: 28 out of 100 (2135 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: someone qualified has to answer for it.

    The rating behind it: Access rules are documented, but keeping sensitive material secure is a named person’s responsibility.

    The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

  • Providing emergency medical instructions to callers

    staying human

    The rules require a named, qualified person to answer for emergency medical instructions, and that person cannot be a piece of software.

    importance 5 · Core
    Source:Provide emergency medical instructions to callers.” (O*NET task statement)
    How this row was scored

    Exposure score: 24 out of 100 (1731 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.

    The rating behind it: The instructions follow a card, but a frightened caller doing CPR needs a calm human voice.

    The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.

  • Operating and maintaining mobile dispatch vehicles and equipment

    staying human

    This work happens in the physical world: mobile dispatch vehicles, in a real place. Software cannot follow it there.

    importance 5 · Supplemental
    Source:Operate and maintain mobile dispatch vehicles and equipment.” (O*NET task statement)
    How this row was scored

    Exposure score: 0 out of 100 (04 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Driving and maintaining a mobile dispatch vehicle is physical 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 2/4.

What this job pays, and how many people do it

Median pay
$53,040a 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
102,500in 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: interpreting small-scale maps in, a record out. The rows above are exactly that shape: reading and effectively interpreting small-scale maps and information from a computer screen to determine locations and provide directions and recording details of calls, dispatches and messages. What it cannot do is be answerable: material 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

Your week is splitting in two, and which half fills it is the whole question. Reading and effectively interpreting small-scale maps and information from a computer screen to determine locations and provide directions is going; learning material and passing required tests for certification is not.

So, given all that: 45% of this job's task weight sits in rows the software is already learning, 19% in rows that change shape rather than disappear, and 37% in rows it is nowhere near. That is the position, measured across 18 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding
your own week, on one page, sorted into what is shifting and what is not
How long it takes
about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (learning material and passing required tests for certification) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles learning material and passing required tests for certification, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. 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 public safety telecommunicators (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was orderlies: only about 5% of its durable work is work you already do and it pays 27.8% less. Your own job splits about 45/55: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “question callers to determine their locations and the nature of their problems…”, and let the exposed end go.

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.

  • Orderlies

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already receive incoming telephone or alarm system calls regarding emergency and non-emergency police and…, and their equivalent is to respond to emergency situations. Across both published task lists that is about 5% of the durable work in that job.

    Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $38,290 against your $53,040, 27.8% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.

    Look at that job’s page anyway →

  • Switchboard Operators, Including Answering Service

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already receive incoming telephone or alarm system calls regarding emergency and non-emergency police and…, and their equivalent is to monitor emergency and code alarms, make emergency announcements, or route emergency calls to…. Across both published task lists that is about 5% of the durable work in that job.

    Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 58% of its own task list already scores in the top exposure band (60/100 in this release), so the same software is eating it. It is a pay cut, in those words: $38,630 against your $53,040, 27.2% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.

    Look at that job’s page anyway →

  • Paramedics

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already receive incoming telephone or alarm system calls regarding emergency and non-emergency police and…, and their equivalent is to coordinate work with other emergency medical team members or police or fire department…. Across both published task lists that is about 4% of the durable work in that job.

    Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.

    Look at that job’s page anyway →

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: 45% of its task weight, across 18 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.

  • The whole-job doom story

    Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.

  • Panic-buying a course

    Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.

  • 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 Police community support officers 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 Police community support officers and Communication operators. 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.

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for public safety telecommunicators, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 45% of the work on this page is already inside what they can do.

Try The AI Authority free

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for public safety telecommunicators. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for public safety telecommunicators launches. Nothing else.

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No Space for public safety telecommunicators yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for public safety telecommunicators existed, with researched problems, courses and people in the same boat, would you want in?

We use your email address for one thing: to tell you if a Space for public safety telecommunicators launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

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 Public Safety Telecommunicators?
Not as a job, but it is already doing parts of the work. Across the 18 official task statements scored for Public Safety Telecommunicators (United States, SOC 43-5031), 45% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 55 out of 100 (range 49–62, band: partial). 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 “Public Safety Telecommunicators” can AI already do?
The highest-scoring tasks in release 2026-q4.1 are: “Observe alarm registers and scan maps to determine whether a specific emergency is in the dispatch service area” (93/100, very high); “Read and effectively interpret small-scale maps and information from a computer screen to determine locations and provide directions” (93/100, very high); “Monitor alarm systems to detect emergencies, such as fires and illegal entry into establishments” (93/100, very high). 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 “Public Safety Telecommunicators” stay human?
About 37% 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: “Operate and maintain mobile dispatch vehicles and equipment” (0/100, minimal); “Learn material and pass required tests for certification” (19/100, minimal); “Provide emergency medical instructions to callers” (24/100, low). 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 “Public Safety Telecommunicators” do about AI?
Start from the ledger rather than the headline: 45% of this job's weighted core work is exposed, and roughly 37% 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 Public Safety Telecommunicators 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 18 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

About the data on this page

  • One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
  • The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
  • 2 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 2026-08-04.
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.

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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.