News Analysis
Research Report
The 2026 State of CX Outsourcing
The Gist
- Customer service roles among the most exposed. Anthropic's new AI labor analysis finds customer service representatives are the second-most exposed occupation to AI task automation.
- Automation pressure already shaping hiring. While unemployment impacts remain limited so far, early data suggests hiring into highly exposed roles may be slowing, particularly for younger workers.
- CX leaders face workforce redesign. Contact center leaders will need to rethink training, workforce planning and escalation workflows as AI increasingly handles routine interactions.
Another day, another report that finds customer service representatives and contact center agents will lose jobs to artificial intelligence. This time the researchers come directly from one of the companies responsible for that AI technology — through observations on its own platform.
Customer service representatives continue to emerge as one of the most exposed roles in the AI economy, according to a new labor market analysis from Anthropic.
The study, "Labor Market Impacts of AI: A New Measure and Early Evidence", introduces a new measurement called observed exposure — a framework that combines theoretical AI capability with real-world usage data drawn from millions of interactions with Anthropic's Claude AI systems.
The findings place customer service representatives among the most AI-exposed jobs in the economy, highlighting the increasing automation potential of routine support interactions.
For customer experience and contact center leaders, the report reinforces something many organizations are already experiencing firsthand: AI is not just augmenting customer service workflows — it is beginning to reshape the workforce behind them.
"This report introduces a new measure for understanding the labor market effects of AI and studies impacts on unemployment and hiring," Anthropic researchers said. "Jobs are more exposed to AI to the extent that their tasks are theoretically feasible with LLMs and observed on our platforms in automated, work-related use cases. We find that computer programmers, customer service representatives and financial analysts are among the most exposed."
Table of Contents
- Customer Service Representatives Near the Top of AI Exposure
- Anthropic's Most Exposed Occupations
- AI Has Not Yet Caused Mass Job Loss
- Why Customer Service Work Is So Automatable
- What CX Leaders Should Do Now
- The Real Story: AI Is Reshaping the Entry Point
- The Augmentation Approach
Customer Service Representatives Near the Top of AI Exposure
The report ranks occupations based on how much of their task portfolio can be automated or accelerated by AI systems. Customer service representatives rank second overall, with more than 70% task exposure. No. 1? Computer programmers.
The core reason is simple: much of the work performed by support agents — answering questions, providing information, troubleshooting common issues and processing requests — can increasingly be handled by AI systems.
Anthropic notes that these tasks already appear frequently in production AI usage through enterprise API integrations and workflow automation.
For contact centers, this aligns with an industry shift that has been accelerating over the past three years. Generative AI agents now routinely:
- Resolve Tier-1 customer questions
- Summarize customer conversations
- Generate suggested responses for agents
- Automate knowledge retrieval
- Handle routine service transactions
As those capabilities expand, customer service organizations increasingly move toward hybrid service models where AI resolves the majority of interactions and humans handle the complex remainder.
Related Article: Is This the Year of the Artificial Intelligence Call Center?
Anthropic's Most Exposed Occupations
The following table reproduces the main exposure rankings from Anthropic's report. Source: Anthropic, "Labor Market Impacts of AI: A New Measure and Early Evidence."
| Occupation | Observed Exposure | Leading Automated Task |
|---|---|---|
| Computer programmers | 74.5% | Write, update and maintain software programs |
| Customer service representatives | 70.1% | Confer with customers to provide information, take orders and handle complaints |
| Data entry keyers | 67.1% | Read source documents and enter data into systems |
| Medical record specialists | 66.7% | Compile, abstract and code patient data |
| Market research analysts and marketing specialists | 64.8% | Prepare reports and translate findings into written insights |
| Sales representatives (wholesale and manufacturing) | 62.8% | Contact customers to demonstrate products and solicit orders |
| Financial and investment analysts | 57.2% | Analyze financial information and prepare forecasts |
| Software quality assurance analysts and testers | 51.9% | Modify software to correct errors or improve performance |
| Information security analysts | 48.6% | Perform risk assessments and test data processing security |
| Computer user support specialists | 46.8% | Answer user inquiries regarding software or hardware operations |
AI Has Not Yet Caused Mass Job Loss
Despite the exposure levels, the report finds no clear increase in unemployment among highly exposed occupations so far.
Instead, the early labor signals appear subtler. And, in fact, it may be a significant factor in a 14% increase in production in 2025, according to the US Bureau of Labor Statistics. Analysis on those BLS numbers released March 5 found that customer service productivity bump; "It’s not definitive proof that AI is the cause – macro data is noisy, but micro-level evidence is lining up to point in the same direction: productivity rises 14% in customer service, 26% for developers and around 25% for consultants on tasks AI can perform."
Researchers found suggestive evidence that hiring into highly exposed occupations — including customer service roles — may be slowing, particularly for younger workers entering the workforce.
Data from the Current Population Survey suggests a roughly 14% drop in job-finding rates for young workers entering highly exposed occupations compared with 2022 levels.
This could indicate that AI adoption is affecting workforce growth before it affects layoffs — a pattern economists have seen in previous technological shifts.
Will AI Lead to Revamped Customer Service Roles?
Generative AI may automate routine tasks such as issuing tickets, taking reservations and handling basic inquiries.
However, the transformation appears more nuanced than widespread elimination. While over 80% of organizations expect to reduce agent headcount in the next 18 months, nearly as many plan to transition agents into new roles—such as automation supervisors, escalation specialists and AI trainers—rather than eliminate positions outright, according to industry research.
Studies from Gartner and Forrester suggest that companies focusing solely on headcount reduction often find themselves rehiring for similar functions within a few years. Automation strategies frequently overestimate AI's capabilities and underestimate the complexity of customer needs, researchers found.
Major Reports Examining AI’s Impact on Customer Service Jobs
The following research from leading consulting firms, analysts and academic institutions examines how generative AI and automation may affect customer service representatives and contact center agents.
| Organization | Report | Key Finding About Customer Service Roles |
|---|---|---|
| Anthropic | Labor Market Impacts of AI: A New Measure and Early Evidence (2026) | Customer service representatives rank as the second most AI-exposed occupation, with more than 70% task exposure based on observed AI usage. |
| McKinsey & Company | The Economic Potential of Generative AI (2023) | Generative AI could automate a significant portion of customer operations work, with customer service identified as one of the enterprise functions with the highest automation potential. |
| MIT & Stanford | Generative AI at Work (2023) | AI assistants increased productivity of call center agents by 14%, suggesting automation could reduce the number of agents required for the same support workload. |
| Gartner | Customer Service and Support Predictions (2024–2027) | Gartner predicts the majority of routine customer service interactions will be automated with generative AI and virtual assistants by the end of the decade. |
Why Customer Service Work Is So Automatable
Anthropic's methodology analyzes job exposure at the task level rather than the occupation level.
Customer service jobs score high because their core tasks align closely with AI strengths:
- Language understanding
- Information retrieval
- Process explanation
- Workflow automation
AI systems can already complete many support interactions twice as fast as humans in structured scenarios, according to task exposure metrics used in the report.
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However, the Anthropic researchers emphasize that AI adoption remains far below its theoretical potential. Even in the most exposed sectors, current AI coverage represents only a fraction of what may eventually be possible.
Related Article: Microsoft AI CEO Says Marketing Will Be Automated in 18 Months
What CX Leaders Should Do Now
For customer experience leaders, the report highlights a strategic shift already underway in contact centers.
Rather than asking whether AI will affect support teams, the more relevant question is how quickly organizations redesign their service models.
Three priorities stand out.
1. Redesign Agent Roles Around Escalation
As AI handles routine requests, human agents increasingly focus on complex interactions — escalations, sensitive customer issues and multi-system troubleshooting.
This requires different hiring profiles and training programs.
2. Invest in AI Supervision Skills
Agents are increasingly responsible for monitoring AI responses, correcting outputs and ensuring policy compliance.
In other words, the role evolves from answering questions to supervising automated service flows.
3. Prepare for Workforce Mix Changes
If hiring slows in highly exposed roles, organizations may see a gradual shift toward smaller frontline teams supported by automation.
This doesn't necessarily mean fewer total CX employees — but it does mean different roles.
The Real Story: AI Is Reshaping the Entry Point
The most important signal in the report may not be job loss — it may be workforce entry.
Customer service roles have historically served as entry points into the workforce and stepping stones into other business functions.
If AI increasingly handles the routine interactions that once trained new employees, organizations will need to rethink how they develop talent pipelines.
For CX leaders, that challenge may prove more significant than automation itself. As AI in contact centers continues to evolve, the focus must shift from simply implementing technology to strategically redesigning how humans and AI work together to deliver exceptional customer satisfaction.
Agents themselves express anxiety about the shift. Many fear job loss, but they also worry about losing the human element in customer interactions and being left with only the most emotionally taxing cases, according to contact center research.
The Augmentation Approach
There's growing consensus that AI is best used to augment—not replace—human agents, freeing them to handle complex or sensitive issues while AI manages routine tasks. What has our reporting found? The key for organizations is to invest in upskilling and redesigning workflows to maintain service quality and employee engagement during the transition.