What this occupation does
Data entry keyers operate keyboards or other data-entry devices to enter data into a computer system, transcribing information from source documents such as invoices, forms, records, and reports. The role spans high-volume keying, verification of entered data against source documents, and basic error correction.
The exposure score in context
The ILO 2025 refined Generative AI Occupational Exposure Index places data entry keyers in the very high exposure gradient. ILO 2025 places data entry keyers in the very-high exposure gradient: the core keying-and-verification task is the most-exposed kind of routine clerical work. Optical character recognition, automated form processing, and AI-assisted validation directly target the bulk of the role; the residue is exception handling and judgement on ambiguous or low-quality source data.
The mapping uses ISCO-08 code 4132 (BLS-published SOC-to-ISCO crosswalk). The full methodology, including the dominant-match rule for one-to-many crosswalks, is at /methodology/#algorithm.
The top five tasks, classified
The top five O*NET 30.2 tasks for this occupation, each tagged Displaceable / Changing / Growing per the Brookings 2024 task-level rubric. The tag definitions are at /glossary/#displaceable-task, /glossary/#changing-task, and /glossary/#growing-task.
- Displaceable: 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. OCR and intelligent document processing now extract and key structured fields from scanned documents directly; this is the most-exposed task in the role.
- Changing: Compile, sort, and verify the accuracy of data before it is entered. Automated validation rules handle routine accuracy checks; judgement on ambiguous, conflicting, or low-quality source data remains human-led.
- Displaceable: Compare data with source documents, or re-enter data in verification format to detect errors. Double-key verification is precisely what automated cross-checking and confidence-scored extraction replace.
- Displaceable: Store completed documents in appropriate locations. Electronic document-management systems route and file completed records automatically.
- Changing: Locate and correct data entry errors, or report them to supervisors. AI flags anomalies, but adjudicating and escalating genuine exceptions remains a human task.
What is growing in this role
The BLS Employment Projections 2025-2035 outlook for data entry keyers is decline (-25.5% projected change, -33.6k jobs). Source: BLS Employment Projections 2025-2035.
Per the WEF Future of Jobs Report 2025, the top three growing skills relevant to this role are: AI and big data, Technological literacy, Analytical thinking. The skills are mapped to the occupation's O*NET skills profile.
Brookings 2024 places data-entry tasks among the most-exposed clerical work of any occupation. The augmentation-prone residue is narrow: exception handling, data-quality judgement, and verification of cases where automated extraction is low-confidence.
Data Entry Keyers in the WEF Future of Jobs Report 2025
Data entry clerks are the third-fastest-declining role by net change in the WEF Future of Jobs Report 2025, behind postal service clerks and bank tellers, projected to fall about 26% by 2030 (net, after the roles employers still expect to create are added back) as automated form processing and AI-assisted data capture spread. The WEF net decline (~26% to 2030) and the BLS US projection (-25.5% to 2035) both point down. Source: World Economic Forum, Future of Jobs Report 2025 (January 2025). The WEF lists are occupation-family level and global, ranked by change to 2030; they are distinct from the BLS 2025-2035 US projection above. The full named declining and growing lists are on what is growing.
Similar occupations
O*NET 30.2 lists the following related roles. Each links to its own deep dive where one is published.
- Administrative Assistants
- Bookkeeping, Accounting, and Auditing Clerks
- Cashiers
- Customer Service Representatives
- Insurance Underwriters
Industry context
This role sits primarily in the Finance industry. The industry-level rollup includes the cross-occupation exposure profile and the BLS-published industry-level outlook.
How this assessment was made
The full methodology is at /methodology/: ILO 2025 refined index for the gradient, Brookings 2024 rubric for the task tags, BLS 2025-2035 for the growth outlook, WEF 2025 for the skills demand. The pre-empted critiques are at /how-to-argue-with-this/.