Telephone salespersons

SOC 2020 code 7113

Telephone salespersons obtain, receive, process and record telephone orders for goods and services.

Employees (UK)
9k
Median annual pay
£26,944
Exposure score ?
6.0/10 High direct 6.0 · with tools 10.0
Wage exposure
£145m

Higher exposure than 97% of the 379 UK occupations we scored.

What this score means

Most of the routine task inventory in this role can already be done by a capable LLM. That doesn't mean the role disappears - it means the shape changes, and one person can credibly do the work of several.

If you're in this role, here's what to do now

Stop doing anything an LLM can do. Your edge is judgment, relationships, taste, and the parts of the work that require you to be in the room. The operators who notice this first and redesign their workflow around it will be paid for those things; the ones who cling to the old task list will compete against AI at AI's prices.

The tasks in this role, ranked by AI exposure

Below are the real tasks O*NET records for this occupation, sorted highest exposure first. "AI can do this" means a language model can already handle the task directly. "AI can help" means an LLM can assist but not replace. "Human work" means today's AI doesn't touch it. Importance is O*NET's 1–5 rating of how central each task is to the role.

7 of 12 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Telemarketers" (41-9041.00).

  1. Obtain customer information such as name, address, and payment method, and enter orders into computers.

    AI can do thisimportance 4.7/5
  2. Record names, addresses, purchases, and reactions of prospects contacted.

    AI can do thisimportance 4.6/5
  3. Maintain records of contacts, accounts, and orders.

    AI can do thisimportance 4.6/5
  4. Adjust sales scripts to better target the needs and interests of specific individuals.

    AI can do thisimportance 4.5/5
  5. Answer telephone calls from potential customers who have been solicited through advertisements.

    AI can do thisimportance 4.4/5
  6. 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.

    AI can do thisimportance 4.4/5
  7. Telephone or write letters to respond to correspondence from customers or to follow up initial sales contacts.

    AI can do thisimportance 4.3/5
  8. Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.

    Human workimportance 4.8/5
  9. Explain products or services and prices, and answer questions from customers.

    Human workimportance 4.7/5
  10. Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.

    Human workimportance 4.1/5
  11. Schedule appointments for sales representatives to meet with prospective customers or for customers to attend sales presentations.

    Human workimportance 3.7/5
  12. Conduct client or market surveys to obtain information about potential customers.

    Human workimportance 3.3/5

Where a project with Alex usually starts for this role

These are the highest-importance tasks in this role that a language model can already handle directly. In a typical engagement the first wins come from building workflows around these, so they stop eating your team's time.

  1. Obtain customer information such as name, address, and payment method, and enter orders into computers.

    O*NET importance 4.7/5 · labelled directly AI-automatable

  2. Record names, addresses, purchases, and reactions of prospects contacted.

    O*NET importance 4.6/5 · labelled directly AI-automatable

  3. Maintain records of contacts, accounts, and orders.

    O*NET importance 4.6/5 · labelled directly AI-automatable

Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →

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Methodology

This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.

Methodology · Sources (PDF) · About · Built 23 April 2026

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