Gini Loh System Tools

AI Automation Index

Will AI Replace Office Clerks, General?

Task-level automation exposure for Office Clerks, General: 20 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

61% weighted task index

20 of 20 tasks scored

Median Salary

$45,010 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

2,464,940 people hold this job — size, not growth

Projected 2025–35

-6.0% employment change

249,000 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$23,860 – $55,040

Highest medians

District of Columbia $55,040
Colorado $53,550
Alaska $51,890
Washington $50,500
North Dakota $50,160

Lowest medians

Puerto Rico $23,860
Guam $26,470
Alabama $31,200
Kansas $32,370
Louisiana $32,480

State figures come from the 43-9061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 61%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 10%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 40%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 28%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 9/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 66%

13 tasks

Medium exposure (≥ 35%) 14%

3 tasks

Low exposure (below 35%) 20%

4 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#830 · Core · 20% automatable

Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers.

physical manipulation — Physical operation of office machines and jams

Operate office equipment.
#827 · Core · 72% automatable

Answer telephones, direct calls, and take messages.

interpersonal — Call routing automatable; nuanced calls need human

Answer telephones to direct calls or provide information.
#826 · Core · 52% automatable

Communicate with customers, employees, and other individuals to answer questions, disseminate or explain information, take orders, and address complaints.

interpersonal — Drafting responses easy; live de-escalation is human

Confer with coworkers to coordinate work activities. Respond to customer problems or complaints.
#832 · Core · 82% automatable

Maintain and update filing, inventory, mailing, and database systems, either manually or using a computer.

data analysis — Maintain inventory records from provided counts

Maintain inventory records.
#828 · Core · 65% automatable

Compile, copy, sort, and file records of office activities, business transactions, and other activities.

data analysis — Compiling data or documentation is largely automatable

Compile data or documentation. File documents or records.
#834 · Core · 85% automatable

Review files, records, and other documents to obtain information to respond to requests.

information retrieval — Search files and references for info

Search files, databases or reference materials to obtain needed information.
#833 · Core · 14% automatable

Open, sort, and route incoming mail, answer correspondence, and prepare outgoing mail.

physical manipulation — Sorting and delivering physical mail

Sort mail. Distribute incoming mail.
#831 · Core · 88% automatable

Compute, record, and proofread data and other information, such as records or reports.

data analysis — Detecting recording errors is deterministic pattern matching

Check data for recording errors. Proofread documents, records, or other files to ensure accuracy.
#837 · Core · 78% automatable

Complete work schedules, manage calendars, and arrange appointments.

decision support — Calendar scheduling automatable; exceptions need human judgment

Schedule appointments. Prepare employee work schedules.
#840 · Core · 88% automatable

Type, format, proofread, and edit correspondence and other documents, from notes or dictating machines, using computers or typewriters.

text generation — Proofreading text for accuracy is core LLM strength

Proofread documents, records, or other files to ensure accuracy.
#836 · Core · 62% automatable

Inventory and order materials, supplies, and services.

data analysis — System inventory monitoring automatable; physical audit human

Monitor inventories of products or materials.
#835 · Core · 72% automatable

Deliver messages and run errands.

text generation — Providing routine information to coworkers is text-based

Provide information to coworkers.
#825 · Supplemental · 40% automatable

Collect, count, and disburse money, do basic bookkeeping, and complete banking transactions.

data analysis — Financial execution software-mediated; authorization human

Prepare cash for deposit or disbursement. Execute sales or other financial transactions. Collect deposits, payments or fees.
#829 · Supplemental · 75% automatable

Complete and mail bills, contracts, policies, invoices, or checks.

text generation — Sending digital materials automatable; physical mailing human

Send information, materials or documentation.
#838 · Supplemental · 68% automatable

Process and prepare documents, such as business or government forms and expense reports.

text generation — Compliance docs drafted; human owns regulatory accuracy

Prepare documentation for contracts, transactions, or regulatory compliance.
#839 · Supplemental · 33% automatable

Monitor and direct the work of lower-level clerks.

interpersonal — Supervising clerical staff is relational management work

Supervise clerical or administrative personnel.
#843 · Supplemental · 82% automatable

Prepare meeting agendas, attend meetings, and record and transcribe minutes.

text generation — Transcribe spoken or written information accurately

Transcribe spoken or written information. Record information from meetings or other formal proceedings.
#842 · Supplemental · 40% automatable

Train other staff members to perform work activities, such as using computer applications.

interpersonal — General personnel training is human-led and relational

Train personnel.
#841 · Supplemental · 70% automatable

Count, weigh, measure, or organize materials.

data analysis — Weight/volume calculations from given data

Calculate weights, volumes or other characteristics of materials.
#844 · Supplemental · 12% automatable

Troubleshoot problems involving office equipment, such as computer hardware and software.

physical manipulation — Physical office equipment servicing

Maintain office equipment in proper operating condition.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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