UK AI Exposure · Sales and customer service occupations
Sales related occupations n.e.c.
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 8.2/10 Very high strict reading · with tools is 8.2/10 with-tools reading · strict is 2.6/10
- Wage exposure
- £150m £473m
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.
Almost every routine task in this role is within reach of today's language models. Roles at this level are getting rebuilt - often not by disappearing, but by one person using AI to do three or five people's output.
If you're in this role, here's what to do now
You don't need to be afraid. You need to be the person doing the rebuilding. The operators who learn to direct AI at scale in this kind of work become hugely valuable. The ones who wait to be told what to do get told what to do - and that thing is often 'we don't need as many of you anymore.'
Where a project with Alex usually starts for this role
These are the highest-importance tasks a language model can already handle directly today. In a typical engagement the first wins come from building workflows around these, so they stop eating your team's time.
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Receive orders for services, such as rentals, repairs, dry cleaning, and storage.
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Provide information about rental items, such as availability, operation, or description.
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Answer telephones to provide information and receive orders.
These are the highest-importance tasks AI can already handle when paired with the right tools and context. In a typical engagement the first wins come from building workflows around these — usually the difference between an LLM that can technically do the job and one that actually does it inside your business.
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Compute charges for merchandise or services and receive payments.
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Receive orders for services, such as rentals, repairs, dry cleaning, and storage.
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Provide information about rental items, such as availability, operation, or description.
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 →
The full task breakdown
Every O*NET task for this occupation, split by what AI can already do unaided versus what still needs a human. Importance is O*NET's 1–5 rating of how central each task is to the role.
Tasks via O*NET "Counter and Rental Clerks" (41-2021.00).
What AI can already do
4 of 16 tasks · unaided
Receive orders for services, such as rentals, repairs, dry cleaning, and storage.
Provide information about rental items, such as availability, operation, or description.
Answer telephones to provide information and receive orders.
Prepare rental forms, obtaining customer signature and other information, such as required licenses.
Where humans still hold the line
12 of 16 tasks
Compute charges for merchandise or services and receive payments.
Explain rental fees, policies, and procedures.
Advise customers on use and care of merchandise.
Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.
Inspect and adjust rental items to meet needs of customer.
Rent items, arrange for provision of services to customers, and accept returns.
Keep records of transactions and of the number of customers entering an establishment.
Receive, examine, and tag articles to be altered, cleaned, stored, or repaired.
Reserve items for requested times and keep records of items rented.
Prepare merchandise for display or for purchase or rental.
Recommend and provide advice on a wide variety of products and services.
Allocate equipment to participants in sporting events or recreational activities.
Tasks via O*NET "Counter and Rental Clerks" (41-2021.00).
What AI can already do
13 of 16 tasks · with tools
Compute charges for merchandise or services and receive payments.
Receive orders for services, such as rentals, repairs, dry cleaning, and storage.
Provide information about rental items, such as availability, operation, or description.
Explain rental fees, policies, and procedures.
Advise customers on use and care of merchandise.
Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.
Answer telephones to provide information and receive orders.
Prepare rental forms, obtaining customer signature and other information, such as required licenses.
Rent items, arrange for provision of services to customers, and accept returns.
Keep records of transactions and of the number of customers entering an establishment.
Reserve items for requested times and keep records of items rented.
Recommend and provide advice on a wide variety of products and services.
Allocate equipment to participants in sporting events or recreational activities.
Where humans still hold the line
3 of 16 tasks
Inspect and adjust rental items to meet needs of customer.
Receive, examine, and tag articles to be altered, cleaned, stored, or repaired.
Prepare merchandise for display or for purchase or rental.
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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.
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