What this occupation does
Customer service representatives interact with customers to handle complaints, process orders, and answer questions about products or services. The role spans inbound and outbound calls, chat and email handling, account research, and escalation routing across consumer and business channels.
The exposure score in context
The ILO 2025 refined Generative AI Occupational Exposure Index places customer service representatives in the very high exposure gradient. ILO 2025 places customer service representatives in the very high exposure gradient. Most discrete tasks (information lookup, standard responses, order processing) are technically and contextually feasible for current generative AI; complex empathy and judgement-under-pressure components are exposed but constrained.
The mapping uses ISCO-08 code 4222 (BLS-published SOC-to-ISCO crosswalk). The full methodology, including the dominant-match rule for one-to-many crosswalks, is at /methodology/#algorithm.
The top five tasks, classified
The top five O*NET 30.2 tasks for this occupation, each tagged Displaceable / Changing / Growing per the Brookings 2024 task-level rubric. The tag definitions are at /glossary/#displaceable-task, /glossary/#changing-task, and /glossary/#growing-task.
- Displaceable: 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. Standard inbound information handling is technically and contextually feasible for current generative AI; many organisations have already deployed AI agents for this task.
- Displaceable: Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. Routine record-keeping is technically and contextually feasible for current generative AI.
- Changing: Resolve customers' service or billing complaints by performing activities such as exchanging merchandise, refunding money, or adjusting bills. Standard complaint resolution is increasingly AI-handled; complex multi-account complaints involve judgement that remains human-led.
- Changing: Refer unresolved customer grievances to designated departments for further investigation. Routing is AI-augmented; complex escalation triage remains human-led at most organisations.
- Growing: Check to ensure that appropriate changes were made to resolve customers' problems. Quality and follow-up verification is augmentation-prone per Brookings 2024 and grows as AI handles the front-line work.
What is growing in this role
The BLS Employment Projections 2025-2035 outlook for customer service representatives is decline (-5% projected change). Source: BLS Employment Projections 2025-2035.
Per the WEF Future of Jobs Report 2025, the top three growing skills relevant to this role are: AI and big data, Empathy and active listening, Resilience, flexibility and agility. The skills are mapped to the occupation's O*NET skills profile.
Brookings 2024 finds customer service among the most-exposed occupations; the augmentation-prone tasks are quality assurance, escalation handling, and complex empathy work.
Similar occupations
O*NET 30.2 lists the following related roles. Each links to its own deep dive where one is published.
- Administrative Assistants
- Telemarketers
- Cashiers
- Sales Representatives, Wholesale and Manufacturing
- Human Resources Specialists
- Talent Acquisition Recruiters
Industry context
This role sits primarily in the Retail industry. The industry-level rollup includes the cross-occupation exposure profile and the BLS-published industry-level outlook.
How this assessment was made
The full methodology is at /methodology/: ILO 2025 refined index for the gradient, Brookings 2024 rubric for the task tags, BLS 2025-2035 for the growth outlook, WEF 2025 for the skills demand. The pre-empted critiques are at /how-to-argue-with-this/.