Vulnerable
Last Update: 7/31/2026
AI Resilience Score for Data Entry Keyers:
18.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forData Entry Keyers
$41,340 median salary•9,500 annual openings•SOC Code: 43-9021.00
Data Entry Keyers are much less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Data entry keyers are labeled as Vulnerable because the core of this job, typing information from forms, invoices, and documents into computer systems, is exactly what AI tools like optical character recognition and large language models are now very good at doing faster, cheaper, and with fewer errors than humans. The government's own labor researchers already point to automation as a major reason this field is shrinking, and experts expect AI to keep pushing that trend further through the 2020s to 2030s.
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Data entry keyers are labeled as Vulnerable because the core of this job, typing information from forms, invoices, and documents into computer systems, is exactly what AI tools like optical character recognition and large language models are now very good at doing faster, cheaper, and with fewer errors than humans. The government's own labor researchers already point to automation as a major reason this field is shrinking, and experts expect AI to keep pushing that trend further through the 2020s to 2030s.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Data Entry Keyers
Updated Quarterly
How is AI changing Data Entry Keyers jobs?
If you're a young person watching this career, here's the honest picture: data entry work is one of the most heavily automated jobs in the economy right now. The U.S. government's own labor researchers note that automation technology has long been a factor impacting the job outlook of many office and administrative support occupations, with productivity gains from digital tools constraining demand for these workers, and as the integration of existing and new AI technologies into workflows expands, various office and administrative support workers are expected to see additional efficiency gains, as detailed in the Bureau of Labor Statistics' 2024–34 projections [1]. The records-management trade press echoes this, explaining that today's large language models [2] go "further by understanding language, interpreting context, and working with unstructured content, with AI agents now capable of assisting with complex, multi-step workflows like classification, redaction, and compliance monitoring." Even friendly industry voices acknowledge that AI is already being used in scheduling, email management, automation of routine tasks, and data analysis, according to Office Dynamics International [3].
The good news: humans are still needed to handle judgment calls, exceptions, and oversight of AI outputs.
Sources
How fast is AI adoption growing for Data Entry Keyers?
Adoption is moving fast because the tools are cheap, accurate, and easy to plug in — OCR plus LLMs can read invoices, checks, and forms that used to require a keyer. A Brookings analysis [4] found that clerical and office administration occupations rank low on current AI usage but high on potential AI exposure, meaning more change is likely coming. The Irish Times [5] reports that an ILO study found roles at highest risk of "AI-driven task automation" accounted for 9.6 per cent of female employment in higher-income countries, nearly triple men's share, a reminder that adoption hits administrative roles unevenly.
Social and legal pushback is mild because the work is back-office and rarely customer-facing, so there are few ethical roadblocks. The biggest brake is data quality — companies still need humans to verify edge cases, train models, and audit outputs. If you're entering this field, lean into skills AI can't easily copy: communication, judgment, coordinating people, and learning to supervise the AI tools rather than compete with them.
Sources
Will AI replace Data Entry Keyers?
Yes. We do think that eventually AI will replace much of this work as it's done today, but the skills you build here can carry you further than this single job title.
Data entry is one of the most exposed roles in the economy right now, and our 18.4% AI Resilience Score reflects that honestly. Tools like OCR and large language models can already read invoices, forms, and unstructured documents that once required a human keyer [2]. The government's own labor researchers expect AI and automation to keep shrinking demand for office and administrative support workers through 2034 [1]. Clerical roles rank high on potential AI exposure, meaning more change is still coming [4].
That said, humans are not gone from this picture yet. Someone still needs to catch errors, handle edge cases, audit AI outputs, and make judgment calls when the data is messy. Those verification and oversight skills are the ones worth building now.
If you are early in your career, treat data entry as a starting point, not a destination. The real move is to learn the tools that are doing the automating, pick up skills in data quality, process coordination, or records management, and position yourself as the person who supervises the AI rather than competes with it. That path stays open.
Sources
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Latest AI news for Data Entry Keyers
These articles highlight that data entry keyers face significant risks of job displacement due to AI advancements. For example, a study from Anthropic identifies data entry roles among those most likely to be automated, while another report suggests that workers in this field are already leveraging AI tools to enhance productivity. However, rather than being purely negative, these insights encourage students to embrace AI as a means to develop new skills and adapt to evolving job landscapes, fostering resilience in their careers.
Anthropic Study Reveals Which Jobs Are Most Exposed to Real-World AI Risks
www.investopedia.com • 4/30/2026
Computer programmers, customer service representatives and data entry workers face the highest AI displacement risk today, based on what AI...
OpenAI's new AI jobs risk paper posits less doom and gloom
www.axios.com • 4/16/2026
Workers whose jobs are most vulnerable to automation — data-entry keyers, bookkeepers and more — are already using AI for three times as...
This new tool ranks the jobs with the highest odds of AI disruption
www.axios.com • 3/17/2026
Computer programmers, customer service reps and data entry workers top the list of jobs most likely to be replaced by AI, according to a new...
Anthropic lists job roles which are most exposed to AI in US; See here
cfo.economictimes.indiatimes.com • 3/7/2026
Washingon DC [US], March 7 (ANI): Computer programmers, customer service representatives, data entry keyers, medical record specialists,...
Labor market impacts of AI: A new measure and early evidence
www.anthropic.com • 3/5/2026
We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data,...
More Career Info
Career: Data Entry Keyers
They enter information into computer systems accurately, making sure data is organized and easy to find when needed.
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Employment & Wage Data
Median Wage
$41,340
Jobs (2024)
141,600
Growth (2024-34)
-25.9%
Annual Openings
9,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.
2
Load machines with required input or output media such as paper, cards, disks, tape or Braille media.
3
Select materials needed to complete work assignments.
4
Maintain logs of activities and completed work.
5
Locate and correct data entry errors, or report them to supervisors.
6
Store completed documents in appropriate locations.
7
Compile, sort and verify the accuracy of data before it is entered.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
