AI exposure: Data Entry Keyers

Data Entry Keyers sits in the top 4% of every occupation measured. 61.2% of what this job consists of, weighted by how important each task is to the role, is work current AI systems can produce with little standing in the way. Very few occupations score this high. The ones that do tend to share a trait: the output is a document, a calculation or a message, and nobody has to be in a particular room for it to count.

No single friction dominates this occupation. The strongest is context at 1.44 out of 3 and the weakest is presence at 0.17, which is a narrow spread. Where nothing structural stands in the way, exposure tracks capability almost directly, and capability is the thing that changes every quarter.

The most exposed thing this job does is Read source documents such as canceled checks, sales reports, or bills, and enter data in..., at 86.7%. The least is Store completed documents in appropriate locations, at 16.7%. A gap of 70.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within office and administrative support occupations, this one is more exposed than most. The median across the 51 roles in the group is 54.6%, and only 12 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 9 tasks, 7 are currently banded exposed, 0 assisted and 2 untouched. For that distribution to shift materially would take capability alone, since there is little structural friction here to slow adoption once a system can do the work. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.