Administration

Data Entry Clerk

Based on 36 assessments

38% Moderate risk

Average realistic automation risk across all Data Entry Clerk profiles in the dataset.

Raw potential
55%
Realistic risk
38%
Research benchmark ?
50%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 36 profiles. Middle half of Data Entry Clerks score between 34% and 41%.

0% 50% 100%
p10 · 32%
44% · p90
On-screen work 27%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 58%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 15%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Data Entry Clerk, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Manually typing data from paper forms or scanned documents into digital databases or spreadsheets (e.g., invoices, surveys, or handwritten notes)
35% AD 36%
Verifying the accuracy of entered data by cross-checking it against original documents or running basic validation checks (e.g., ensuring numbers match or dates are formatted correctly)
19% AD 36%
Organizing and sorting physical documents or digital files to prepare them for data entry (e.g., arranging papers by date or category)
deep expertise social element
19% AA 4%
Responding to requests from colleagues or supervisors to correct or update previously entered data (e.g., fixing typos or missing entries)
12% DD 49%
Performing basic data cleaning tasks, such as removing duplicates or standardizing formats (e.g., ensuring all phone numbers follow the same structure)
8% DD 60%
Communicating with team members or other departments to clarify unclear or missing information in source documents
deep expertise
4% AD 11%
Generating simple reports or summaries from entered data (e.g., counting totals or creating basic charts for presentations)
0% DD 67%

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