JobAIRisk

File Clerks

File Clerks — AI exposure, safer roles, and a pivot plan.

Also known as: Clerk · Cut Filer · Card Filer · Claims Clerk · Computer Aide · Brand Recorder

AI Task Exposure Score

Very High exposure

More exposed than 99% of 968 occupations · Rank #1 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

  • Scan or read incoming materials to determine how and where they should be classified or filed.98
  • Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval.98
  • Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order.98

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 94 puts File Clerks in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 19 of 19 analyzed tasks lean automatable, 0 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

  • $43,600median wage
  • 73,440employed
  • 7,300annual openings
  • -15.9%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — File Clerks

What does a score of 94 mean for a File Clerks?
It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 94 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
The highest-exposure tasks are: Scan or read incoming materials to determine how and where they should be classified or filed; Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval; Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order. Exposure is scored per task from structured data, not generated by a language model.
Which parts of this job are most durable?
The current data release does not distinguish durable tasks for this role.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 19 of 19 tasks carry source-level provenance · methodology