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AI exposure Office and administrative support

Will AI replace order clerks?

Order Clerks. US occupation 43-4151.

7.5%

of the time order clerks spend on their work goes on tasks where AI is already being used to do that work.of order clerks' working hours go on tasks AI has already started taking off their plate.

Ranked 210 of 756 US occupations. More exposed than 71% of them.Further along than 71% of them.

Average US job 7.7%

Well above the typical job.Ahead of most of the workforce.

What AI already does for order clerksWhat order clerks no longer do alone

O*NET lists 19 tasks for order clerks. AI use at work shows up in 3 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Inform customers by mail or telephone of order information, such as unit prices, shipping dates, and any anticipated delays.Core task mostly automated 1.00
  2. Receive and respond to customer complaints.Core task mostly automated 1.00
  3. Recommend merchandise or services that will meet customers' needs.Core task mostly automated 1.00

What it does not touch, yetWhat still needs a human

16 of the 19 tasks show no AI use at work in the data.

  • Check inventory records to determine availability of requested merchandise.Core task
  • Compute total charges for merchandise or services and shipping charges.Core task
  • File copies of orders received, or post orders on records.Core task
  • Inspect outgoing work for compliance with customers' specifications.Core task
  • Notify departments when supplies of specific items are low, or when orders would deplete available supplies.Core task
  • Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms.Core task
Show the other 10
  • Review orders for completeness according to reporting procedures and forward incomplete orders for further processing.Core task
  • Verify customer and order information for correctness, checking it against previously obtained information as necessary.Core task
  • Adjust inventory records to reflect product movement.
  • Attempt to sell additional merchandise or services to prospective or current customers by telephone or through visits.
  • Calculate and compile order-related statistics, and prepare reports for management.
  • Collect payment for merchandise, record transactions, and send items, such as checks or money orders for further processing.
  • Confer with production, sales, shipping, warehouse, or common carrier personnel to expedite or trace shipments.
  • Direct specified departments or units to prepare and ship orders to designated locations.
  • Prepare invoices, shipping documents, and contracts.
  • Recommend type of packing or labeling needed on order.

How that compares

Among the 50 office and administrative support occupations, order clerks rank 32. The group averages 19.1%, and its most exposed job is Customer Service Representatives at 70.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 209Biochemists and Biophysicists 7.6%
  2. 210Aerospace Engineers 7.5%
  3. 210Hydrologists 7.5%

Just below

  1. 213Pharmacy Technicians 7.4%
  2. 214Baggage Porters and Bellhops 7.3%
  3. 214Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop 7.3%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.