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Will AI replace customer support specialists?

BLS places customer service representatives in its “Very high” AI-exposure category (of four, relative to other occupations). BLS projects employment to decline 5.3% from 2025 to 2035, with about 289,500 openings a year. OEWS May 2025 median pay is $44,770 (10th–90th percentile $31,750–$63,590). Typical entry education: high school diploma or equivalent.

Sources: BLS AI exposure categories and Employment Projections 2025–35 (released 27 August 2026); BLS OEWS May 2025; tasks from O*NET 31.0 (CC BY 4.0).

Figures are for the BLS occupation Customer service representatives (SOC 43-4051). O*NET lists “Customer Service Specialist” as a reported title of Customer Service Representatives. Technical support roles are Computer User Support Specialists (15-1232).

Customer support specialists answer customer questions, resolve problems and escalate what they cannot fix.

The figures, with their sources

BLS and OEWS figures for Customer service representatives
AI-exposure categoryVery high (of Low, Moderate, High, Very high)BLS AI exposure categories, 2025–35BLS AI exposure categories, 2025–35
Employment, 2025 → 20352,666,000 → 2,524,100BLS Employment Projections 2025–35BLS Employment Projections 2025–35
Projected change, 2025–35−5.3%BLS Employment Projections 2025–35BLS Employment Projections 2025–35
Openings per year (2025–35 average)289,500BLS Employment Projections 2025–35BLS Employment Projections 2025–35
Median annual pay$44,770BLS OEWS, May 2025BLS OEWS, May 2025
10th–90th percentile pay$31,750 – $63,590BLS OEWS, May 2025BLS OEWS, May 2025
Typical entry educationHigh school diploma or equivalentBLS Employment Projections 2025–35BLS Employment Projections 2025–35

National figures, all industries and all experience levels. Employment and openings are published by BLS in thousands; pay is annual, in US dollars.

What BLS says, in its own words

“Very high” relative AI exposure generally indicates that, compared to other occupations, a larger fraction of an occupation’s tasks can be completed or assisted by AI technology, and that LLMs have been observed performing some of the occupation’s tasks.
BLS, AI exposure categories
“An exposure category is not a forecast of employment growth or decline.” “Exposure does not imply job loss, productivity gains, automation probability, or wage effects.”
BLS, AI exposure categories
“Capital/labor substitution - share decreases as advances in speech and language processing and in artificial intelligence (AI) allow computers to handle customer service interactions with greater frequency.”
BLS, on what drives the customer service representatives projection (Employment Projections 2025–35)

Our count from the BLS table: 141 of the 206 occupations in the “Very high” category are projected to grow from 2025 to 2035. That is our arithmetic on BLS data, not a BLS statement.

What the work is: O*NET® tasks

The occupation’s core tasks, most important first, as O*NET 31.0 words them.

  1. 1.Confer with customers by telephone or in person to provide information about products or services, take or enter orders, cancel accounts, or obtain details of complaints.Relationships
  2. 2.Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken.
  3. 3.Check to ensure that appropriate changes were made to resolve customers' problems.Judgment · Accountability
  4. 4.Contact customers to respond to inquiries or to notify them of claim investigation results or any planned adjustments.Judgment · Accountability
  5. 5.Determine charges for services requested, collect deposits or payments, or arrange for billing.Judgment
  6. 6.Complete contract forms, prepare change of address records, or issue service discontinuance orders, using computers.
  7. 7.Refer unresolved customer grievances to designated departments for further investigation.Judgment

How we tag: a task is tagged Judgment, Accountability or Relationships when O*NET’s wording uses one of these verbs. Judgment: evaluate, assess, determine, decide, interpret, diagnose, recommend, investigate, approve, prioritize, resolve. Accountability: direct, supervise, manage, oversee, ensure, plan, establish, authorize, comply. Relationships: confer, consult, negotiate, advise, collaborate, liaise, mentor, train, counsel, persuade, interview, present, meet with. This is our reading of the task text, not an O*NET or BLS classification, and it is not a measure of AI exposure.

For new graduates

Typical entry education
High school diploma or equivalent
BLS Employment Projections 2025–35
Openings per year
289,500
All levels, not entry-level only

The tasks to show proof for: 5 of 7 are about judgment, accountability or relationships

We point you at these because our method treats them as the work that is hardest to hand to AI. That is our judgment, not a BLS or O*NET finding. A capstone, an internship or a part-time job where you made the call, owned the outcome or worked with the people involved is proof. Write what you did, not what you were assigned.

Show the 5 tasks
  • Confer with customers by telephone or in person to provide information about products or services, take or enter orders, cancel accounts, or obtain details of complaints.
  • Check to ensure that appropriate changes were made to resolve customers' problems.
  • Contact customers to respond to inquiries or to notify them of claim investigation results or any planned adjustments.
  • Determine charges for services requested, collect deposits or payments, or arrange for billing.
  • Refer unresolved customer grievances to designated departments for further investigation.

What this data does not tell you

  • How many openings are entry-level, or how many go to new graduates. BLS counts openings at every level.
  • How AI will change hiring for junior roles in this occupation. The exposure category is about the occupation’s tasks, and BLS says it is not a forecast.
  • Pay or openings in your city or industry. These are national figures.
  • Whether your own tasks match these. O*NET describes the occupation, not your job.

BLS also publishes the work experience and on-the-job training usually needed; see the BLS projections table.

Proof worth finding for a Customer Support Specialist application

Our editorial starting list, not a survey of postings. The posting you apply to decides what counts.

  • Demonstrated proficiency with support platforms (Zendesk, Intercom, Salesforce Service Cloud)
  • Strong written and verbal communication with a focus on de-escalation
  • Experience handling complex or sensitive customer escalations
  • CSAT or customer satisfaction metrics from previous roles
  • Familiarity with AI-powered support tools and chatbot management

Show your proof for one real posting

  1. Step 1Job Match · 5 tokensPaste a real posting. For each requirement, we quote the line in your resume that proves it, or say nothing was found.
  2. Step 2Resume · 15 tokensRewrite toward that posting from your own words. Any number we could not find in them is listed for you to check.
  3. Step 3Know your tasks · FreeYour own tasks against the customer service representatives data above, labeled task by task.

Related role guides

Same BLS occupation: Call Center Representative.

  • Operations ManagerOperations managers run the day-to-day of a business or unit: processes, people, budgets and vendors.
  • Executive AssistantExecutive assistants manage an executive’s time, communications and priorities, and run projects on their behalf.
  • Supply Chain ManagerSupply chain managers plan how goods are sourced, stored and moved, and manage the suppliers and teams involved.

Questions people ask

Will AI replace customer support specialists?

The data does not say so. BLS places customer service representatives in its “Very high” relative AI-exposure category and states that “An exposure category is not a forecast of employment growth or decline.” In BLS’s words: “Very high” relative AI exposure generally indicates that, compared to other occupations, a larger fraction of an occupation’s tasks can be completed or assisted by AI technology, and that LLMs have been observed performing some of the occupation’s tasks. BLS projects employment to decline 5.3% from 2025 to 2035 (BLS Employment Projections 2025–35). By our count from the BLS table, 141 of the 206 occupations in the “Very high” category are projected to grow.

How many customer support specialists jobs open each year?

BLS projects about 289,500 openings a year for customer service representatives, averaged over 2025–35. BLS defines openings as net employment change plus workers permanently leaving the occupation, so a declining occupation can still have openings. Employment was 2,666,000 in 2025.

How much do customer support specialists earn?

BLS OEWS (May 2025) puts the national median annual wage for customer service representatives at $44,770. The 10th percentile is $31,750, the 25th $36,870, the 75th $51,780 and the 90th $63,590. These are all industries and all experience levels in the United States; pay in your city and at your level will differ.

What education do customer support specialists need?

BLS lists “High school diploma or equivalent” as the typical education needed to enter customer service representatives. It is the typical path, not a rule: postings set their own requirements.

How does AISkillScore check a Customer Support Specialist application?

We count, we do not guess. Job Match reads the posting’s requirements and, for each one, quotes the line in your resume that proves it, or says nothing was found. The resume rewrite keeps your claims and lists any number it could not find in your own words so you can check it before you send.

Sources

U.S. Bureau of Labor Statistics: Artificial Intelligence (AI) exposure categories; Occupational projections, 2025–35, and worker characteristics; Employment Projections definitions; Occupational Employment and Wage Statistics, May 2025: Customer service representatives. BLS data is in the public domain.

This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. O*NET 31.0 Database · CC BY 4.0 · Customer service representatives on O*NET OnLine. Changes: we show up to eight of the occupation’s core tasks, most important first, merged across the O*NET codes BLS groups into one occupation, and we add our own task tags.

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