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Will AI replace switchboard operators, including answering service?

Partly.

Routing simple calls is easy to automate, but unclear, upset and urgent callers still need a person on the line. This job scores 59 out of 100 on (higher is safer). Today AI could do about 23% of the work by itself, people do 62% with AI’s help, and 15% still needs a person.

Updated 3 October 2026 43-2011 7213 2026-Q4
Office and Administrative SupportSwitchboard Operators, Including Answering Service43-2011 · 2026-Q4
23% AI does it62% AI helps15% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 15%AI helps 62%AI does it 23%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why the chair is shrinking but not empty

Switchboard work is two jobs in one. The first is routing: answering an incoming call, finding the right extension, and passing it on. The second is judgment: working out what an unclear caller actually needs, taking a message that makes sense to the person who reads it, and knowing when a call cannot wait. Automated menus took a large bite out of the first part decades ago. Voice systems are now taking more of it. The second part has moved much more slowly.

The scale of the job explains a lot. Federal employment and wage data put the occupation at roughly 34,280 jobs with median pay near $38,630, and the Bureau of Labor Statistics projects employment falling about 26% between 2025 and 2035 (BLS Employment Projections, 2025-35). That decline is real, and it is mostly about hiring. Employers who lose an operator often do not post the role again. The calls get split between a phone system, a receptionist, and a shared answering service.

So the honest picture is erosion, not a switch being flipped. Paging staff, greeting walk-in visitors, and relaying after-hours calls for a clinic or a utility still sit with people in plenty of workplaces. The score on this page is 59 out of 100 (higher is safer), and the task split above shows why it lands in the middle rather than at either end.

What gets automated, what gets assisted, what stays with you

Start with the routine end. Simple routing by menu or spoken request, and reading back standard information such as opening hours, department names and directions, are the parts machines handle with little help. The share of task time in that group is 23%. Coverage for this occupation overall is 49, measured as explained on the coverage method page.

Next, the assisted work. Transcribing a call and drafting a message summary, or searching a staff directory while the caller is still talking, are tasks where software speeds up a person rather than standing in for one. The share of task time where AI helps is 62%. In practice this is where most operators feel the change first: the same shift, fewer keystrokes, more calls handled.

Then the part that holds. Calming a caller who is angry or distressed, and judging whether a page needs to go out immediately in a hospital or a service with on-call staff, are decisions with consequences. So is the caller whose request matches no menu option at all. The share of task time that needs a person is 15%.

What the evidence actually shows

There is no published head-to-head test of AI against trained switchboard and answering service operators on their own work. Our evidence grade for quality parity is D, and a D grade means the comparison has not been measured, so we publish no parity number for this job. We will not guess one. How that grade works is set out on the quality parity method page.

A fair test would not be hard to design. It would run live or recorded calls through both an operator and a voice system, then score four things: correct routing on the first attempt, message accuracy as judged by the person who receives it, caller satisfaction, and escalation handling when a call turns urgent. Until something like that is published, claims in either direction are marketing, not evidence. Our full approach is on the methodology page.

When the work could shift

Most likely between 2035 and 2045 (8 in 10 of our scenarios). The replacement year method page explains what that window is and is not.

Two things could pull it earlier. Nothing physical stands in the way: the robotics panel above shows how little of this job needs hands, so a vendor only has to get software right. And the cost gap, shown in the costs panel, is wide enough that a small employer can try a voice agent on a quiet line without much risk.

Two things push it later. Liability is one. A missed emergency page at a hospital or a mishandled after-hours call for a utility is a serious failure, and buyers move slowly where mistakes are expensive. Caller tolerance is the other. Many organizations keep a human line precisely because customers complain about menus, and a site that routes patients, residents or clients often treats a live voice as part of the service.

What to do: keep a record of the calls only you could have handled this month, because that list is what protects the role when the phone system is reviewed.

How to stay needed

Lean into the parts that do not fit a script. Handling distressed or confused callers, judging urgency and paging the right person, and taking a message that the recipient can act on without calling back are all work that gets noticed when it is missing. Become the person who owns escalations on your site.

Two skills travel well from here. The first is dispatch-style triage: priority rules, on-call rosters, and clean handovers. The second is supervising the phone system itself, writing and testing routing rules, reviewing transcripts, and spotting calls the automation keeps getting wrong. That second skill turns a shrinking role into a smaller, better-paid one.

If you are weighing a move, the closest neighbors are worth a look: Telephone Operators, Public Safety Telecommunicators, and Receptionists and Information Clerks. You can also see the wider communications equipment operators family, the call centers sector, or our list of jobs most at risk. To weigh two options side by side, use the job comparison tool.

Frequently asked questions

What does a switchboard operator do today?

Most of the job is answering incoming calls, routing them to the right person or department, taking and relaying messages, and paging staff. Many operators also greet visitors, give out basic information such as hours and directions, and handle after-hours or emergency calls for hospitals, utilities and answering services. The task list above shows which of those parts machines already handle.

Is switchboard operator a dying job?

It is shrinking rather than disappearing. The Bureau of Labor Statistics projects employment for the occupation falling about 26% between 2025 and 2035. Most of that comes from employers not refilling the role, with calls absorbed by phone systems, receptionists or a shared answering service. Workplaces with urgent or sensitive calls are the slowest to drop a live operator.

Can an AI receptionist replace an answering service?

For simple work, often yes: hours, directions, basic routing and appointment reminders. The gap shows up on unclear, upset or urgent callers, where someone has to decide what the caller actually needs and who to wake up. Many answering services now run a mix, with software taking the easy calls and people handling escalations and overnight judgment calls.

What jobs are hardest for AI to take over?

Work that is physical, unpredictable, or carries real consequences when it goes wrong tends to hold up best: skilled trades, hands-on care, emergency response, and roles where someone must be accountable for a decision. Our rankings page lets you sort every scored occupation and see where any job sits, along with the reasons behind it.

What should a switchboard operator retrain into?

The shortest moves use skills you already have. Emergency and public safety dispatch pays more and rewards triage under pressure. Logistics dispatch, medical front office work, and customer support team lead roles are also close. Another option is managing the phone system itself: writing routing rules, reviewing transcripts, and fixing the calls automation keeps mishandling.

How do you score this occupation?

Each job is scored on three questions from open data: how much of its task time AI can handle today, whether AI output matches a qualified person, and when a shift could realistically happen. Evidence is graded, and where no direct comparison has been published we say so instead of publishing a number. The methodology pages explain each step.

Each ridge is a slice of the job's task time.Needs a human 15%AI helps 62%AI does it 23%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Switchboard Operators, Including Answering Service, O*NET-SOC 43-2011. 15% of the job’s task time still needs a human, so 15 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 15% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 15%AI helps 62%AI does it 23%
The job's task list: the parts AI can do are blacked out.Needs a human 15%AI helps 62%AI does it 23%
Operate communication systems, such as telephone, switchboard, intercom, two-way radio, or public address.AI helps
Answer incoming calls, greeting callers, providing information, transferring calls or taking messages as necessary.AI does it
Greet visitors, log them in and out of the facility, assign them security badges, and contact employee escorts.Needs a human
Monitor emergency and code alarms, make emergency announcements, or route emergency calls to the appropriate location.AI helps
Record messages, suggesting rewording for clarity or conciseness.AI does it
Page individuals to inform them of telephone calls, using paging or interoffice communication equipment.AI helps
Relay or route written or verbal messages.AI helps
Perform various cash handling tasks, such as collecting payments, making bank deposits, or managing petty cash.Needs a human
Place telephone calls or arrange conference calls as instructed.AI helps
Process incoming or outgoing mail, packages, or deliveries.Needs a human
Perform various data entry or word processing tasks, such as updating phone directories, typing or proofreading documents, or creating schedules.AI does it
Perform administrative tasks, such as accepting orders, scheduling appointments or meeting rooms, or sending and receiving faxes.AI helps
Monitor alarm systems to ensure that secure conditions are maintained.AI helps
Contact security staff members when necessary, using radio-telephones.AI helps
Complete forms for sales orders.AI helps
Answer simple questions about clients' businesses, using reference files.AI does it
Stamp messages with time and date and file them appropriately.AI helps
Keep records of calls placed and charges incurred.AI helps
Place orders, such as for equipment, supplies, or catering for meetings.AI helps

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: 2035–2045

Most likely between 2035 and 2045 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
Partly.
By 2045
100%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could partly do this job (Partly.)100%Today2030: 90.0% of scenarios: AI could partly do this job (Partly.)90%2030: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%20302035: 10.0% of scenarios: AI could partly do this job (Partly.)10%2035: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2035: 40.0% of scenarios: AI could largely do this job (Largely.)40%20352040: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2040: 80.0% of scenarios: AI could largely do this job (Largely.)80%20402045: 100.0% of scenarios: AI could largely do this job (Largely.)100%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%100.0%0.0%0.0%
20300.0%10.0%90.0%0.0%0.0%
203540.0%50.0%10.0%0.0%0.0%
204080.0%20.0%0.0%0.0%0.0%
2045100.0%0.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

Clients want a personFace-to-face contact is rated 4.6 and physical closeness 3.8 out of 5; caring for or serving people is 2.5 out of 5 in importance.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
LiabilityMistakes are rated 2.0 out of 5 for consequence and decisions 3.5 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 2.7 out of 5.
Physical work9% of the task time is physical; robots have been shown on 100% of that time.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then short-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (1,019 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$100–$10,190
A person’s wage for the same hours
$14,700–$29,140

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

9%
of the task time is physical work
None needed
the kind of robot the physical work would need
Little of this job is physical, so robotics is not what holds AI back.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 15%AI helps 62%AI does it 23%
Writing · 14.1% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 10.8% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 5.3% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 16.7% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 37.9% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 15.3% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 15%AI helps 62%AI does it 23%
How exposed is it?

Still needs a human: 59/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 15% needs a human, 62% AI helps, 23% AI does it. Still needs a human: 59/100 ↑ safer. Will AI replace them? Partly.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 59/100 ↑ safer. Will AI replace them? Partly.

ChatGPTYes

AI-based voice routing and automated attendants are already replacing most traditional switchboard duties, though some human support may remain for complex or sensitive calls.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeYes

Switchboard operator roles have already been almost entirely automated by digital phone systems, so within 10 years the few remaining positions will likely be replaced as well.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While advanced conversational AI will automate most routine call routing and standard inquiries, human operators will still be needed to handle complex emergencies, sensitive situations, and callers who require nuanced empathy.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will likely replace most routine switchboard tasks, while humans remain for complex, sensitive, or exceptional calls.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Switchboard Operators, Including Answering Service? Partly. Still needs a human: 59/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/switchboard-operators-including-answering-service/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.