UK AI Exposure · Administrative and secretarial occupations
Data entry administrators
Data entry administrators enter a variety of information into databases using various software packages and assist colleagues in retrieving information.
- Employees (UK)
- 16k
- Median annual pay
- £26,534
- Exposure score ?
- 7.9/10 High direct 7.9 · with tools 9.1
- Wage exposure
- £335m
Higher exposure than 100% 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 9 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Data Entry Keyers" (43-9021.00).
Locate and correct data entry errors, or report them to supervisors.
Compile, sort, and verify the accuracy of data before it is entered.
Compare data with source documents, or re-enter data in verification format to detect errors.
Store completed documents in appropriate locations.
Select materials needed to complete work assignments.
Maintain logs of activities and completed work.
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.
Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media.
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.
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Locate and correct data entry errors, or report them to supervisors.
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Compile, sort, and verify the accuracy of data before it is entered.
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Compare data with source documents, or re-enter data in verification format to detect errors.
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.
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