AI exposure by occupation, O*NET 51-9111.00

Will AI replace Packaging and Filling Machine Operators and Tenders?

Packaging and Filling Machine Operators and Tenders: AI can already handle 3 of 20 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 20 tasks O*NET 30.3 lists for Packaging and Filling Machine Operators and Tenders, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations. 90 Estimated Standard 4.5
Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications. 90 Estimated Standard 4.5
Stock and sort product for packaging or filling machine operation, and replenish packaging supplies, such as wrapping paper, plastic sheet, boxes, cartons, glue, ink, or labels. 90 Estimated Efficient 4.1
Inspect and remove defective products and packaging material. 20 Estimated Efficient 4.4
Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides. 20 Estimated Efficient 4.4
Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor. 15 Estimated No tier 4.5
Observe machine operations to ensure quality and conformity of filled or packaged products to standards. 15 Estimated No tier 4.4
Remove finished packaged items from machine and separate rejected items. 15 Estimated No tier 4.4
Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly. 15 Estimated No tier 4.4
Tend or operate machine that packages product. 15 Estimated No tier 4.4
Start machine by engaging controls. 15 Estimated No tier 4.4
Regulate machine flow, speed, or temperature. 15 Estimated No tier 4.3
Adjust machine components and machine tension and pressure according to size or processing angle of product. 15 Estimated No tier 4.3
Supply materials to spindles, conveyors, hoppers, or other feeding devices and unload packaged product. 15 Estimated No tier 4.3
Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers. 15 Estimated No tier 4.2
Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout. 15 Estimated No tier 4.2
Count and record finished and rejected packaged items. 15 Estimated No tier 4.0
Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing. 15 Estimated No tier 4.0
Secure finished packaged items by hand tying, sewing, gluing, stapling, or attaching fastener. 15 Estimated No tier 4.0
Clean and remove damaged or otherwise inferior materials to prepare raw products for processing. 15 Estimated No tier 4.0

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 20 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 20. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 26% of the role's importance-weighted task work. 26% of the work is something AI can address at some tier, and 75% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
379,060
Median annual wage
$43,220
Middle half of earners
$36,850 to $49,070
Projected change, 2024 to 2034
+4.5%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Packaging and Filling Machine Operators and Tenders and AI

Will AI replace Packaging and Filling Machine Operators and Tenders?

AI already handles 3 of the 20 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 27 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +4.5% from 2024 to 2034.

What is the AI exposure of Packaging and Filling Machine Operators and Tenders?

27 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 20 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.

Which Packaging and Filling Machine Operators and Tenders tasks can AI already do?

The tasks with the highest exposure are: Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations; Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications; Stock and sort product for packaging or filling machine operation, and replenish packaging supplies, such as wrapping paper, plastic sheet, boxes, cartons, glue, ink, or labels. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 26% of the role's importance-weighted task work, and 75% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Packaging and Filling Machine Operators and Tenders, and what do they earn?

379,060 people in the United States, with a median annual wage of $43,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +4.5% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Packaging and Filling Machine Operators and Tenders. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/packaging-and-filling-machine-operators-and-tenders

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