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AI exposure Office and administrative support

Will AI replace weighers?

Weighers, Measurers, Checkers, and Samplers, Recordkeeping. US occupation 43-5111.

0.0%

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

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for weighersWhat weighers no longer do alone

O*NET lists 18 tasks for weighers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

18 of the 18 tasks show no AI use at work in the data.

  • Collect or prepare measurement, weight, or identification labels and attach them to products.Core task
  • Collect product samples and prepare them for laboratory analysis or testing.Core task
  • Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files.Core task
  • Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.Core task
  • Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses.Core task
  • Signal or instruct other workers to weigh, move, or check products.Core task
Show the other 12
  • Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers.Core task
  • Communicate with customers and vendors to exchange information regarding products, materials, and services.
  • Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.
  • Count or estimate quantities of materials, parts, or products received or shipped.
  • Fill orders for products and samples, following order tickets, and forward or mail items.
  • Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections.
  • Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.
  • Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages.
  • Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.
  • Store samples of finished products in labeled cartons and record their location.
  • Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.
  • Unload or unpack incoming shipments.

How that compares

Among the 50 office and administrative support occupations, weighers rank 50. 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

Level with 0.0%

  1. 346Waiters and Waitresses 0.0%
  2. 346Watch and Clock Repairers 0.0%
  3. 346Water and Wastewater Treatment Plant and System Operators 0.0%

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.