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Sources describe work, regulations and education. AI replacement dates and scores are AI estimates, not predictions by the cited organizations. Methodology

Data Entry Clerk

🇺🇸 United States · Office & HR
First to be replaced#4 of 790 jobs in the United States · Among the riskiest 1%

Job Countdown

4 mo
18days 01:32:08:484

until AI starts replacing people in this job
Mar 8, 2027 · 142 days left

AI now reads handwriting and smudged scans, then fills in the fields itself. Paying someone to key it in is already ending, and feeding the scanner is about all that's left.
View replacement outlook
Replacement riskVery high
Human share in 20465%

Estimated AI timeline

AI impact · Replacement
2026 · Now2032
Likely range 4 mo – 1 yr 4 mo

Data Entry Clerk: what AI changes and what stays

This job existed to turn paper into data, and reading paper is now something a model does about as well as a person. What's disappearing isn't a task within the job — it's the reason the job itself was created.

How is AI ending this job rather than just changing it?

Multimodal AI tools now read messy handwriting and damaged scans about as reliably as a trained clerk, which was the one hard part of this work. YOU'RE NEXT rates today's tool at about nine out of ten on that reading task and judges the shift as already under way — once a model can read the document, there's no separate step left that needs someone typing it in.

What's left once the typing itself is automated?

Someone still has to physically handle paper that only exists on paper — pulling it from a folder, feeding a scanner, noticing when a page is torn or out of order — and flag entries that look like fraud or a mistake before they're filed. That's caretaking work around the edges of the job, not the job that used to exist.

Should someone in this role try to specialize in it?

No — this is one of the clearer cases where the honest advice is to leave rather than specialize, since the paper-handling work left behind won't support a dedicated position for long. Look at how your employer's other departments use their new AI tools and move toward whichever one is adding people instead of losing them, using the fact that you already know the underlying paperwork as your advantage.

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