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Inventory Clerks

Office & Administrative Support
Projected change 2024–34: -7.7%
Median annual wage (2024): $43,190
Employment (2024): 862K

United States · BLS Employment Projections 2024–34 (figures for SOC 43-5071 occupational group)

AI exposure in published research

Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.

Data provider: OpenAI · "GPTs are GPTs"

Time basis: 2023 baselineex-ante estimate

Scored against GPT-4-generation capability.

Human rater basis
35.7%
GPT-4 rater basis
50.0%

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

11 rated tasks · 8 tasks with β ≥ 0.5 (72.7%)

Version:
gh-main-0471612
License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Published 2026-03-05composite index

Observed exposure
0.0%

Theoretical exposure index weighted by measured Claude usage, per the original report's definition.

9 tasks · usage observed in 0 · mean 0.0%

Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex

AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

Version:
hf-lmi-2026-03
License:
CC BY 4.0
Observation period:
(not applicable to this release)
Model:
(not stated by the source)

2023 prediction vs observation-based index published 2026-03-05

One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.

Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.

The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.

The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.

These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.

Task Breakdown

  • Count and record physical inventory of stock
  • Enter inventory data into tracking systems
  • Reconcile discrepancies between records and physical counts
  • Generate inventory reports for management review
  • Coordinate with suppliers on stock replenishment

About This Occupation

If you work as an Inventory Clerk, AI is rapidly transforming your role. With an automation risk of 74/100 and overall exposure at 72%, this role faces very high transformation. The highest-impact area is entering inventory data into tracking systems at 88% automation. This is classified as an 'automate' role, meaning many core tasks may be fully replaced. BLS projects -7% decline through 2034. Professionals should consider transitioning toward supply chain analytics or warehouse management systems oversight.

ISCO-08 classification

Unit group 4321ILO official

Stock Clerks

Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.

Definition

ILO original text (English)

Stock clerks maintain records of goods produced and production materials received, weighed, issued, dispatched or put into stock.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET43-5071.00

    Shipping, Receiving, and Inventory Clerks

    Verify and maintain records on incoming and outgoing shipments involving inventory. Duties include verifying and recording incoming merchandise or material and arranging for the transportation of products. May prepare items for shipment.

    View original
  • ONET43-5111.00

    Weighers, Measurers, Checkers, and Samplers, Recordkeeping

    Weigh, measure, and check materials, supplies, and equipment for the purpose of keeping relevant records. Duties are primarily clerical by nature. Includes workers who collect and keep record of samples of products or materials.

    View original
  • ONET53-7065.00

    Stockers and Order Fillers

    Receive, store, and issue merchandise, materials, equipment, and other items from stockroom, warehouse, or storage yard to fill shelves, racks, tables, or customers' orders. May operate power equipment to fill orders. May mark prices on merchandise and set up sales displays.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

View original

Frequently Asked Questions

The Anthropic Economic Index puts observed exposure at 0.0%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 35.7% under human raters. Both figures are reproduced from published research without modification.

They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.