JobShiftAtlas
Source-backed profile

Customer Service Representatives

Interact with customers to provide basic or scripted information in response to routine inquiries about products and services. May handle and resolve general complaints. Excludes individuals whose duties are primarily installation, sales, repair, and technical support.

BLS SOC 43-4051 · O*NET-SOC 43-4051.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$44,770

Projected change, 2025–2035

-5.3%

2025–2035 annual average openings

289,500

AI exposure

Very high

Editorial analysis

The easy tickets are leaving the queue

Customer service representatives are directly exposed to one of AI's strongest capabilities: holding a conversation about information stored in company systems. AI agents can answer common questions, explain policies, check order status, reset accounts, schedule appointments, summarize previous conversations, and sometimes complete transactions without a human representative.

That changes what reaches a human

Customers who successfully resolve simple problems through self-service disappear from the queue. The cases that remain are more likely to involve exceptions, confusing policies, system failures, emotionally upset customers, fraud concerns, or situations where several things have gone wrong at once.

  1. Routine questions increasingly move to automated service.
  2. Human representatives receive AI-generated summaries and suggested responses.
  3. Representatives spend a larger share of time handling escalations and unusual cases.
  4. Empathy, authority to solve problems, and knowledge of company operations become more important.

This occupation faces meaningful automation pressure, particularly in high-volume environments built around repetitive requests. Workers who can move toward complex support, account management, technical troubleshooting, retention, or supervisory work may have stronger long-term options than those focused entirely on scripted interactions.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
2,666,000 jobs
Projected employment, 2035
2,524,100 jobs
Projected change, 20252035
-141,800 jobs (-5.3%)

Relative AI exposure

BLS category: Very high. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Very high

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • 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.
  • Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken.
  • 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.
  • Complete contract forms, prepare change of address records, or issue service discontinuance orders, using computers.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Network conferencing software
  • Document management software
  • Graphics or photo imaging software
  • Human resources software
  • Data base user interface and query software
  • Presentation software
  • Operating system software
  • Customer relationship management CRM software

Preparation

Typical entry education
High school diploma or equivalent
Related experience
None
On-the-job training
Short-term on-the-job training

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.