The Replaceability Index

Office & Admin Support: AI Replaceability Across 54 Occupations

Compare AI task exposure across occupations, alongside pay and projected growth. 54 occupations in this view. The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
Public Safety Telecommunicators32$49,530+3%102,300
First-Line Supervisors of Office and Administrative Support Workers38$63,450+0%1,575,800
Court, Municipal, and License Clerks48$42,430+3%143,500
Eligibility Interviewers, Government Programs52$50,820+3%153,800
Library Assistants, Clerical52$33,490+3%99,900
Cargo and Freight Agents52$48,650+3%110,200
Dispatchers, Except Police, Fire, and Ambulance52$46,680+3%195,700
Production, Planning, and Expediting Clerks58$55,060+2%440,100
Information and Record Clerks, All Other58$43,500+3%362,100
Postal Service Mail Carriers58$55,380-5%333,100
Office and Administrative Support Workers, All Other58$40,590+3%542,100
Human Resources Assistants62$47,710-5%115,300
Couriers and Messengers62$36,850-5%60,200
Medical Secretaries and Administrative Assistants62$42,600+5%534,000
Statistical Assistants62$52,560+3%13,800
Customer Service Representatives68$39,680-5%2,829,600
Interviewers68$38,520-5%143,200
Shipping, Receiving, and Inventory Clerks68$38,280-5%692,600
Hotel, Motel, and Resort Desk Clerks68$31,990+3%261,200
Gambling Cage Workers68$33,400+3%13,700
Postal Service Clerks68$52,240-10%97,100
Bill and Account Collectors72$41,300-2%214,900
Receptionists and Information Clerks72$35,880-5%1,080,700
Executive Secretaries and Executive Administrative Assistants72$72,400-14%420,700
Office Clerks, General72$39,760-5%2,856,200
Communications Equipment Operators, All Other72$43,700-5%2,500
Billing and Posting Clerks72$43,800-2%466,600
Procurement Clerks72$46,840-5%63,900
Brokerage Clerks72$57,050-5%55,700
Loan Interviewers and Clerks72$47,700-5%177,600
New Accounts Clerks72$42,900-5%43,800
Reservation and Transportation Ticket Agents and Travel Clerks72$42,600-5%110,800
Weighers, Measurers, Checkers, and Samplers, Recordkeeping72$38,780-5%59,900
Legal Secretaries and Administrative Assistants72$52,400-10%145,400
Insurance Claims and Policy Processing Clerks72$47,220-5%303,500
Secretaries and Administrative Assistants76$44,400-10%1,752,400
Payroll and Timekeeping Clerks76$52,090-5%143,400
Bookkeeping, Accounting, and Auditing Clerks78$47,440-5%1,533,500
Correspondence Clerks78$43,340-10%7,700
Order Clerks78$39,320-10%98,900
Postal Service Mail Sorters, Processors, and Processing Machine Operators78$52,060-10%96,800
Desktop Publishers78$48,020-15%10,100
Mail Clerks and Mail Machine Operators78$36,850-10%62,600
Proofreaders and Copy Markers78$46,430-5%9,500
Tellers82$37,080-15%358,800
Switchboard Operators, Including Answering Service82$35,610-15%73,900
Credit Authorizers, Checkers, and Clerks82$47,080-10%49,600
File Clerks82$37,950-10%128,600
Computer Operators82$50,240-12%41,600
Office Machine Operators82$37,460-10%29,200
Telephone Operators88$39,740-15%5,300
Meter Readers, Utilities88$46,380-15%22,500
Word Processors and Typists92$44,150-22%36,800
Data Entry Keyers96$37,790-22%162,700

Sources and methodology

The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

The Index uses stored BLS-based occupation data. O*NET, OECD capability indicators, and task-exposure research are contextual references. The derivation of the stored occupation scores is not reproducibly documented in the published dataset.

The source snapshot does not record the wage-survey year or employment-projection window. Check the original BLS release before treating these figures as current. Editorial changes and export dates do not establish data freshness.

Read the methodology and limitations