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Sales · Updated Aug 2026

Telemarketers

Solicit donations or orders for goods or services over the telephone.

JVS 2.0.0-phase4b
AI Exposure
70/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
67/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage86%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.High
75
Record names, addresses, purchases, and reactions of prospects contacted.High
76
Explain products or services and prices, and answer questions from customers.High
72
Obtain customer information such as name, address, and payment method, and enter orders into computers.High
70
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.High
65
Adjust sales scripts to better target the needs and interests of specific individuals.High
76
Telephone or write letters to respond to correspondence from customers or to follow up initial sales contacts.High
71
Answer telephone calls from potential customers who have been solicited through advertisements.High
63
Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.High
61
Schedule appointments for sales representatives to meet with prospective customers or for customers to attend sales presentations.Medium
73
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Record names, addresses, purchases, and reactions of prospects contacted.76
  2. Adjust sales scripts to better target the needs and interests of specific individuals.76
  3. Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.75
  4. Schedule appointments for sales representatives to meet with prospective customers or for customers to attend sales presentations.73
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.01
  2. Record names, addresses, purchases, and reactions of prospects contacted.02
  3. Adjust sales scripts to better target the needs and interests of specific individuals.03
  4. Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.04
  5. Answer telephone calls from potential customers who have been solicited through advertisements.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency51
Physical dependency26
Adoption pressure61
Labour-market resilience47
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →