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−431,000: Clerical jobs lost 2025-35 (−6.0%): office clerks, secretaries, bookkeeping clerks, data entry, receptionists

How it's computed
BLS rows tagged 'Clerical'. Change = 6,811.3k − 7,242.7k.
Source
BLS Employment Projections 2025-35 and AI exposure categories; Eloundou et al. (2023/24) human β; Felten, Raj & Seamans LM-AIOE · link [2] [3] [4] [5] [6]
As of
27 Aug 2026 · fetched 30 Oct 2026

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SocTitleEmp2025Emp2035ChgPctBls CategoryEloundou BetaFelten AIOEWageSelf Emp PctGroupCluster
27-3092Court reporters and simultaneous captioners19.919.90-0.1Very high0.521—72,42033.4Likely loserClerical
31-9094Medical transcriptionists4240.2-1.9-4.4High0.2321.19640,410—Likely loserClerical
43-2011Switchboard operators, including answering service35.426.2-9.2-26Very high0.4841.24438,6301.6Likely loserClerical
43-2021Telephone operators3.52.5-1-27.6High0.5531.41241,740—Likely loserClerical
43-3031Bookkeeping, accounting, and auditing clerks1,532.41,446.8-85.6-5.6Very high0.3140.81850,6705.6Likely loserClerical
43-4171Receptionists and information clerks947.5931.6-16-1.7Very high0.5831.03338,0100.7Likely loserClerical
43-6014Secretaries and administrative assistants, except legal, medical, and executive1,889.81,775.7-114.1-6Very high0.5671.25447,5401.5Likely loserClerical
43-9021Data entry keyers131.898.2-33.6-25.5Very high0.50.17241,3401.6Likely loserClerical
43-9022Word processors and typists40.426.5-13.9-34.4Very high0.4860.50749,28010.9Likely loserClerical
43-9061Office clerks, general2,6002,443.7-156.2-6Very high0.50.91145,0100.7Likely loserClerical
Data behind this figure