Sales related occupations n.e.c.

SOC 2020 code 7129

Job holders in this unit group perform a variety of sales occupations not elsewhere classified in minor group 712: Sales Related Occupations.

Employees (UK)
20k
Median annual pay
£28,870
Exposure score ?
2.6/10 Low direct 2.6 · with tools 8.2
Wage exposure
£150m

Higher exposure than 87% of the 379 UK occupations we scored.

What this score means

A handful of tasks in this role are touchable by AI, mostly around paperwork, scheduling and basic writing. The shape of the role stays the same - some parts just get faster.

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

Pick the two or three most repetitive things in your week and try an LLM on them. Most people underestimate what Claude or ChatGPT can already do for admin-shaped work. The time you get back is the dividend.

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.

4 of 16 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Counter and Rental Clerks" (41-2021.00).

  1. Receive orders for services, such as rentals, repairs, dry cleaning, and storage.

    AI can do thisimportance 4.4/5
  2. Provide information about rental items, such as availability, operation, or description.

    AI can do thisimportance 4.4/5
  3. Answer telephones to provide information and receive orders.

    AI can do thisimportance 4.3/5
  4. Prepare rental forms, obtaining customer signature and other information, such as required licenses.

    AI can do thisimportance 4.2/5
  5. Compute charges for merchandise or services and receive payments.

    Human workimportance 4.7/5
  6. Explain rental fees, policies, and procedures.

    Human workimportance 4.4/5
  7. Advise customers on use and care of merchandise.

    Human workimportance 4.4/5
  8. Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.

    Human workimportance 4.4/5
  9. Inspect and adjust rental items to meet needs of customer.

    Human workimportance 4.2/5
  10. Rent items, arrange for provision of services to customers, and accept returns.

    Human workimportance 4.2/5
  11. Keep records of transactions and of the number of customers entering an establishment.

    Human workimportance 4.1/5
  12. Receive, examine, and tag articles to be altered, cleaned, stored, or repaired.

    Human workimportance 4.1/5
  13. Reserve items for requested times and keep records of items rented.

    Human workimportance 4.0/5
  14. Prepare merchandise for display or for purchase or rental.

    Human workimportance 3.8/5
  15. Recommend and provide advice on a wide variety of products and services.

    Human workimportance 3.7/5
  16. Allocate equipment to participants in sporting events or recreational activities.

    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. Receive orders for services, such as rentals, repairs, dry cleaning, and storage.

    O*NET importance 4.4/5 · labelled directly AI-automatable

  2. Provide information about rental items, such as availability, operation, or description.

    O*NET importance 4.4/5 · labelled directly AI-automatable

  3. Answer telephones to provide information and receive orders.

    O*NET importance 4.3/5 · 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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