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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Telephone Operators are much less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of telephone operators is labeled as "Vulnerable" because many of their core tasks, like connecting calls and looking up information, are now automated by AI and digital systems. Most routine inquiries are handled by interactive voice menus and AI assistants, drastically reducing the need for human operators.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is vulnerable
The career of telephone operators is labeled as "Vulnerable" because many of their core tasks, like connecting calls and looking up information, are now automated by AI and digital systems. Most routine inquiries are handled by interactive voice menus and AI assistants, drastically reducing the need for human operators.
Read full analysisAnalysis of Current AI Resilience
Telephone Operators
Updated Quarterly • Last Update: 2/17/2026

Today, most classic “switchboard” tasks of telephone operators are automated by digital systems. For example, connecting calls by observing lights and plugging lines was replaced decades ago with electronic switching [1] [2]. Similarly, looking up numbers or listings in directories is now usually done by search engines or automated voice systems [2] [3].
Bureau of Labor Statistics data show only about 4,000 telephone operators remain in 2021 (down from hundreds of thousands in the past) [3]. In practice, many routine inquiries go through interactive voice menus or AI assistants rather than a person. At the same time, operators’ roles have shifted.
Companies often give agents AI “co-pilots” that display customer profiles and suggest answers, so workers spend less time on rote tasks [4]. Importantly, some duties still need humans. For instance, BLS notes operators may “handle emergency calls and assist children or people with physical disabilities” [5] – situations that require understanding and empathy.
Even paging systems (bells or buzzers) are now often automated. In short, AI and software handle most routine work (dialing, info lookup, pages), while humans focus on harder, sensitive cases [2] [4].

Telephone-answering technology is already mature, so companies can adopt AI quickly for cost savings. Many call centers now use voice-recognition and chatbot services to handle basic queries around the clock. For example, one firm replaced 700 of 3,000 agents with AI chatbots to cut costs [4].
With operators earning roughly $19.99/hour on average [5], businesses see big savings by using software 24/7. AI also boosts efficiency: it can sort customer questions, suggest alternate spelling or phone listings, and even learn on the job. This has led major call centers to invest in AI tools (as news reports on Philippine call centers entering “AI fever” testify).
Adoption isn’t total, however. Some callers still insist on a human. People often “zero out” of confusing menus to reach a person [4], and lawmakers have even proposed guaranteeing an option to talk to a human agent [4].
Complex or emergency issues (like health or identity problems) still benefit from a human touch [5] [4]. Ethical rules and privacy laws in medicine and safety can also limit pure automation. In sum, experts expect AI to handle most routine call-routing and inquiries, but well-trained humans will remain crucial for difficult, sensitive, or unusual situations [4] [4].
The jobs may change, but skills like clear communication, empathy, and problem-solving will still be valuable in phone support.

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They connect phone calls, help people find phone numbers, and provide information to ensure clear and smooth communication.
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.
Provide relay service for hearing-impaired users.
Promote company products, services, and savings plans when appropriate.
Operate paging systems or other systems of bells or buzzers to notify recipients of incoming calls.
Consult charts to determine charges for pay-telephone calls, requesting coin deposits for calls as necessary.
Provide assistance for customers with special billing requests.
Suggest and check alternate spellings, locations, or listing formats to customers lacking details or complete information.
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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