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AI Automation Index
Task-level automation exposure for Executive Secretaries and Executive Administrative Assistants: 22 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
22 of 22 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
459,910 people hold this job — size, not growth
Projected 2025–35
43,300 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,120 – $90,850
Highest medians
Lowest medians
State figures come from the 43-6011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
22 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
13 tasks
7 tasks
2 tasks
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 →Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
Keep track of employees' time.
Manage and maintain executives' schedules.
decision support — Algorithmic scheduling with human oversight of constraints
Make travel arrangements for executives.
information retrieval — Booking travel and reservations via tools
Prepare invoices, reports, memos, letters, financial statements, and other documents, using word processing, spreadsheet, database, or presentation software.
text generation — Technical reports drafted; human verifies content
Coordinate and direct office services, such as records, departmental finances, budget preparation, personnel issues, and housekeeping, to aid executives.
interpersonal — Operational coordination requires live human orchestration
Answer phone calls and direct calls to appropriate parties or take messages.
interpersonal — Call routing automatable; nuanced calls need human
Prepare responses to correspondence containing routine inquiries.
text generation — Routine business correspondence fully draftable by AI
Open, sort, and distribute incoming correspondence, including faxes and email.
physical manipulation — Sorting and delivering physical mail
Greet visitors and determine whether they should be given access to specific individuals.
interpersonal — Physical presence greeting customers
Prepare agendas and make arrangements, such as coordinating catering for luncheons, for committee, board, and other meetings.
decision support — Algorithmic scheduling with human oversight of constraints
Conduct research, compile data, and prepare papers for consideration and presentation by executives, committees, and boards of directors.
data analysis — Compiling data or documentation is largely automatable
Perform general office duties, such as ordering supplies, maintaining records management database systems, and performing basic bookkeeping work.
decision support — Ordering via systems automatable; human approves spend
File and retrieve corporate documents, records, and reports.
physical manipulation — Filing physical documents requires hands in the world
Read and analyze incoming memos, submissions, and reports to determine their significance and plan their distribution.
text generation — Reading and deriving actions from text is core LLM
Provide clerical support to other departments.
text generation — Broad clerical tasks partly automatable, human oversees exceptions
Attend meetings to record minutes.
text generation — Summarize meeting proceedings; human verifies accuracy
Process payroll information.
data analysis — Financial execution software-mediated; authorization human
Interpret administrative and operating policies and procedures for employees.
information retrieval — AI explains policies; human handles live questions
Set up and oversee administrative policies and procedures for offices or organizations.
decision support — AI drafts policies; accountability and context are human
Meet with individuals, special interest groups, and others on behalf of executives, committees, and boards of directors.
interpersonal — Real-time coworker coordination is relational work
Compile, transcribe, and distribute minutes of meetings.
text generation — Transcribe spoken or written information accurately
Supervise and train other clerical staff and arrange for employee training by scheduling training or organizing training material.
decision support — Algorithmic scheduling with human oversight of constraints
Review operating practices and procedures to determine whether improvements can be made in areas such as workflow, reporting procedures, or expenditures.
decision support — AI aids process inspection; physical verification is human
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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 →Related Article
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