Not Very Resilient
Last Update: 5/19/2026
AI Resilience Score for Telemarketers:
24.8%
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%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forTelemarketers
$34,410 median salary•6,500 annual openings•SOC Code: 41-9041.00
Telemarketers are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Telemarketing is labeled "Not Very Resilient" because the core tasks of the job — reading scripts, answering routine questions, and processing orders — are exactly the kind of predictable, repetitive work that AI voice agents are already handling well and cheaply. With over 70% of similar customer service tasks already exposed to AI, and the Bureau of Labor Statistics projecting declining demand in this field over the next decade, the entry-level seats that most telemarketers start in are quickly disappearing.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
Telemarketing is labeled "Not Very Resilient" because the core tasks of the job — reading scripts, answering routine questions, and processing orders — are exactly the kind of predictable, repetitive work that AI voice agents are already handling well and cheaply. With over 70% of similar customer service tasks already exposed to AI, and the Bureau of Labor Statistics projecting declining demand in this field over the next decade, the entry-level seats that most telemarketers start in are quickly disappearing.
Read full analysisAnalysis of Current AI Resilience
Telemarketers
Updated Quarterly
How is AI changing Telemarketers jobs?
Telemarketing is one of the careers being changed by AI the fastest. A new Anthropic labor study found that customer service representatives rank as the second-most AI-exposed occupation, with more than 70% task exposure based on observed AI usage, and that finding applies directly to telemarketers because the work is so similar — reading scripts, taking orders, and answering questions. AI voice agents now routinely resolve Tier-1 questions, summarize calls, generate suggested responses, and handle routine service transactions [1], which covers most of the tasks on a telemarketer's daily list.
The U.S. Bureau of Labor Statistics expects that as AI improves, demand will be limited for customer service representatives and similar clerks, with employment projected to decline or show little change over the 2024–34 decade [2]. But it isn't all replacement — industry trainers at ICMI argue that bots should handle the "Confident, Routine, and Predictable" tasks that customers don't want to wait on a human for [3], leaving humans to build trust and handle emotional moments. So today's telemarketers are being augmented with AI scripts and dialers while many entry-level seats are being automated away.
Sources
How fast is AI adoption growing for Telemarketers?
Adoption is moving quickly because voice AI is cheap, available, and the economics are unbeatable for high-volume calling. McKinsey's latest survey showed 88% of organizations now use AI in at least one business function [4], and Harvard Business Review notes that leading CEOs at Ford, Amazon, Salesforce, and JP Morgan have proclaimed many white-collar jobs will soon disappear [5], with customer service among the first hit. Still, adoption may slow down a bit.
Gartner predicts that half of companies that cut customer service staff due to AI will reverse those decisions and rehire by 2027 [6] because bots frustrate customers on complex issues. The World Economic Forum reminds workers that the best safeguard is large-scale investment in lifelong learning and skills [7]. The hopeful news: people who can build genuine trust, listen with empathy, and handle the tricky calls AI fumbles will stay valuable — and those human skills are something you can start practicing today.
Sources
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More Career Info
Career: Telemarketers
They call people to sell products or services, answer questions, and help with orders over the phone.
Parent Careers
Employment & Wage Data
Median Wage
$34,410
Jobs (2024)
67,400
Growth (2024-34)
-22.1%
Annual Openings
6,500
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.
2
Explain products or services and prices, and answer questions from customers.
3
Telephone or write letters to respond to correspondence from customers or to follow up initial sales contacts.
4
Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.
5
Deliver prepared sales talks, reading from scripts that describe products or services, to persuade potential customers to purchase a product or service or to make a donation.
6
Maintain records of contacts, accounts, and orders.
7
Conduct client or market surveys to obtain information about potential customers.
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.
