Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They connect phone calls, help people find phone numbers, and provide information to ensure clear and smooth communication.
Summary
The career of a telephone operator is labeled as "Changing fast" because many tasks they used to do, like connecting calls and finding listings, are now handled by automated systems and AI-driven voice assistants. These technologies can manage large call volumes efficiently and at a lower cost, reducing the need for human operators.
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Learn more about how you can thrive in this position
Summary
The career of a telephone operator is labeled as "Changing fast" because many tasks they used to do, like connecting calls and finding listings, are now handled by automated systems and AI-driven voice assistants. These technologies can manage large call volumes efficiently and at a lower cost, reducing the need for human operators.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Telephone Operators
Updated Quarterly • Last Update: 11/11/2025

State of Automation & Augmentation
Most tasks that telephone operators used to do have been taken over by machines or software. Modern phone systems use automatic switches and computer menus (known as IVR) so people can get information or route calls without a human operator [1] [1]. For example, AI-driven voice assistants (“voicebots”) can answer many common questions by listening and speaking naturally.
These systems combine speech recognition and machine learning to handle large call volumes with good efficiency and lower cost [2] [1]. The recordkeeping of call details and charges is also done by computerized billing systems now, so operators no longer log them by hand. In short, tasks like connecting calls or finding listings are largely automated [2] [3].
However, people still help with hard cases. Complex issues – such as emergencies, fraud complaints or callers with disabilities – often need a human’s care. News reports note that companies still rely on live agents for sensitive situations, and even lawmakers are pushing to keep human support available [4] [4].
In practice, AI tools often work alongside people rather than fully replacing them. For example, AI can give an operator helpful customer details or suggest answers, freeing up the person to focus on tricky parts of a call [4] [4].

AI Adoption
Companies may move quickly to adopt AI for telephone services because the technology is widely available and can save money. Many off-the-shelf AI chatbots and voice-assistant tools exist for customer calls [2] [3]. Some firms report automating up to 70–80% of routine calls with AI, which cuts labor costs and lets businesses operate 24/7 without fatigue [3] [2].
The expected payoff of faster service and cost savings drives adoption: voicebots can answer thousands of calls at once, reducing the need for dozens of operators and improving efficiency [2] [3].
On the other hand, several factors slow full automation. Many customers still prefer talking to an actual person when they can [3] [4], and companies worry about frustrating callers with rigid menus. In the U.S., there is even talk of rules to ensure quick access to live operators for help, especially for older or disabled customers [4] [3].
Also, telephone operators are paid a moderate wage (around $42,000 annually in the U.S. on average [5]), so the immediate cost savings from automation are not as high as in very specialized jobs. Given that there are only a few thousand telephone operators left (about 4,600 in the U.S. [5]) and the job numbers keep shrinking [6], firms may not rush to invest in expensive new AI systems specifically for this role. Instead, many phone duties continue to evolve gradually, with AI helping humans rather than instantly making them disappear.

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Median Wage
$39,130
Jobs (2024)
4,000
Growth (2024-34)
-27.5%
Annual Openings
300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Offer special assistance to persons such as those who are unable to dial or who are in emergency situations.
Listen to customer requests, referring to alphabetical or geographical directories to answer questions and provide telephone information.
Suggest and check alternate spellings, locations, or listing formats to customers lacking details or complete information.
Observe signal lights on switchboards, and dial or press buttons to make connections.
Operate telephone switchboards and systems to advance and complete connections, including those for local, long distance, pay telephone, mobile, person-to-person, and emergency calls.
Provide assistance for customers with special billing requests.
Calculate and quote charges for services such as long-distance connections.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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