Job Exposure
Index

Home / All jobs / Office and Administrative Support

AI exposure score

Data Entry Keyers

Data Entry Keyers score 89 out of 100, which is very high exposure to AI. That ranks #12 of 923 US occupations, where #1 is the most exposed. Of the 9 tasks in this job, AI could speed up 7 on its own and 1 more with extra software built on top of it. In April–May 2026, 8 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

89/ 100
Very high
Rank
#12of 923 jobs
US workers
127,080BLS, May 2025
Median pay
$41,340a year
In real AI use
8 of 9tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 7 (78%)
  • AI can speed this up with extra software: 1 (11%)
  • Little or no AI speed-up: 1 (11%)
  • Locate and correct data entry errors, or report them to supervisors.AI can speed this up on its own · core task · Seen in real AI use
  • Compile, sort, and verify the accuracy of data before it is entered.AI can speed this up on its own · core task · Seen in real AI use
  • Compare data with source documents, or re-enter data in verification format to detect errors.AI can speed this up on its own · core task · Seen in real AI use
  • Store completed documents in appropriate locations.AI can speed this up on its own · core task · Seen in real AI use
  • Select materials needed to complete work assignments.AI can speed this up on its own · core task · Seen in real AI use
  • Maintain logs of activities and completed work.AI can speed this up on its own · supplemental task · Seen in real AI use
  • Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.AI can speed this up on its own · supplemental task · Seen in real AI use
  • 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.AI can speed this up with extra software · supplemental task · Seen in real AI use
  • Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media.Little or no AI speed-up · supplemental task
What you can do about it

Get a personal plan for what to learn next.

Skill Half Life turns this score into a 90-day plan for your situation: your realistic options, the skills that carry over, and training that fits your time and budget. Coming soon.

See your options

Questions about data entry keyers and AI

Will AI replace data entry keyers?

Probably not entirely, but the job is likely to change a lot. Data Entry Keyers score 89 out of 100 (very high exposure), #12 of 923 US jobs. AI could speed up 8 of the job's 9 tasks, 7 of them on its own, while 1 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which data entry keyers tasks can AI do?

The most exposed tasks include "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".

Which data entry keyers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media".

Are people already using AI for this work?

Yes. In April–May 2026, 8 of the 9 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as data entry keyers, and what do they earn?

About 127,080 people in the US, with median pay of $41,340 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

The weekly exposure report

Know what's changing before it reaches your job.

One short email a week: which jobs are most exposed, the research worth knowing about, and one practical step you can take. Plus a free PDF report the moment you sign up.

Free · one email a week · unsubscribe anytime