# Will AI replace data entry jobs? Updated October 2026 Data entry clerks score 66 of 100 for AI exposure. The largest share of their task time, 45%, is work AI speeds up while they stay in charge. AI can take over 29% outright, and 26% stays with people. - **29%** AI can do it - **45%** AI helps - **26%** Needs a person High exposure Higher than 97% of the 923 occupations we scored. ## Task by task We graded 9 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 3 and leaves 3 to people. | Task | AI exposure | | --- | --- | | 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. Document AI reads and keys source documents with high accuracy. | 85% AI can do it | | Compare data with source documents, or re-enter data in verification format to detect errors. Comparing entries against source documents is highly automatable with software and AI. | 78% AI can do it | | Maintain logs of activities and completed work. Software logs activity and work completion automatically with little human input. | 75% AI can do it | | Compile, sort, and verify the accuracy of data before it is entered. AI validates and sorts records well, but edge cases need review. | 65% AI helps | | Locate and correct data entry errors, or report them to supervisors. AI flags most errors quickly, though escalation needs human judgment. | 60% AI helps | [See what AI can take on across an operations team](https://www.aigentcy.com/ai-for/operations/) ## How data entry clerks compare All occupations (923) Office and administrative support (51) **Data entry clerks score 66**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support. ## Pay and outlook in the US Median pay $41,340 a year, May 2025 People employed 127,080 in the US, May 2025 Projected change in jobs \-25.5% from 2024 to 2034 ## Skills to build - Validate and sort records in Microsoft Excel before entry - Reconcile posted entries in Intuit QuickBooks or SAP software - Keep donor files accurate in Blackbaud The Raiser's Edge - Escalate data entry errors to supervisors with clear reports - Load paper, cards and tape into keying equipment ## Safer roles nearby 5 related occupations with lower scores. - [File clerks59 out of 100](https://www.aigentcy.com/ai-exposure/file-clerks/) - [Office machine operators33 out of 100](https://www.aigentcy.com/ai-exposure/office-machine-operators/) - [Mail clerks25 out of 100](https://www.aigentcy.com/ai-exposure/mail-clerks/) - [Office clerks60 out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) - [Mail sorters20 out of 100](https://www.aigentcy.com/ai-exposure/mail-sorters/) ## Questions about data entry clerks and AI Will data entry jobs be replaced by AI? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly keying data from source documents and checking entries against those documents. What stays with people is loading paper, cards and tape into machines, selecting materials for each assignment and storing finished documents in physical locations. Which data entry clerk tasks will AI take over? Reading source documents and keying their data scores highest at 85, because document AI reads bills, checks and sales reports with high accuracy. Comparing entries against source documents, or re-keying them to verify, scores 78 because software runs that match automatically. Activity logs also get automated, since software records completed work with little human input. Which data entry clerk tasks stay human? Loading paper, cards, disks and tape into machines scores 5, because it is hands-on physical work. Selecting materials for each assignment scores 15, since gathering physical items means being on site. Resolving garbled messages with cryptographic equipment also scores 15, because secure equipment limits AI help. How can data entry clerks stay valuable? Shift toward the review work around keying, validate records in Excel before entry, clear the edge cases AI flags, and reconcile entries in QuickBooks or SAP. Clean donor files in Blackbaud The Raiser's Edge, and write clear error reports for supervisors, since escalation needs human judgment. ## Related jobs - [Typists66 out of 100](https://www.aigentcy.com/ai-exposure/typists/) - [Production clerks63 out of 100](https://www.aigentcy.com/ai-exposure/production-clerks/) - [Billing clerks59 out of 100](https://www.aigentcy.com/ai-exposure/billing-clerks/) - [Shipping clerks47 out of 100](https://www.aigentcy.com/ai-exposure/shipping-clerks/) ## Next steps for data entry clerks - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.