UK AI Exposure · Elementary occupations
Packers, bottlers, canners and fillers
Packers, bottlers, canners and fillers pack, wrap, fill, label and seal containers by hand or machine.
- Employees (UK)
- 61k
- Median annual pay
- £25,087
- Exposure score ?
- 0.0/10 Minimal 0.0/10 Minimal strict reading · with tools is 0.0/10 with-tools reading · strict is 0.0/10
- Wage exposure
- £0 £0
Higher exposure than 10% of the 379 UK occupations we scored.
What this score means
Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.
If you're in this role, here's what to do now
You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.
Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.
If you're in this role, here's what to do now
You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.
Where a project with Alex usually starts for this role
This role's strict reading is low because its top tasks are judgment, not drafting. The three highest-stakes tasks below are still usually where we start — flip the toggle to 'With tools' to see what AI plus the right context can compress.
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Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations.
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Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications.
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Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.
Most roles have at least three wedges where AI plus the right tools removes real time. For this role the labelling doesn't surface obvious ones, so we'd start with the highest-stakes tasks below and figure out the AI angle in conversation.
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Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations.
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Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications.
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Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.
Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →
The full task breakdown
Every O*NET task for this occupation, split by what AI can already do unaided versus what still needs a human. Importance is O*NET's 1–5 rating of how central each task is to the role.
Tasks via O*NET "Packaging and Filling Machine Operators and Tenders" (51-9111.00).
What AI can already do
0 of 20 tasks · unaided
No tasks here are labelled as something an LLM can do unaided. Switch to 'With tools' above to see what changes when AI is paired with the right context.
Where humans still hold the line
20 of 20 tasks
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.
Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.
Observe machine operations to ensure quality and conformity of filled or packaged products to standards.
Remove finished packaged items from machine and separate rejected items.
Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly.
Inspect and remove defective products and packaging material.
Start machine by engaging controls.
Tend or operate machine that packages product.
Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides.
Regulate machine flow, speed, or temperature.
Adjust machine components and machine tension and pressure according to size or processing angle of product.
Supply materials to spindles, conveyors, hoppers, or other feeding devices and unload packaged product.
Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers.
Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout.
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.
Count and record finished and rejected packaged items.
Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing.
Secure finished packaged items by hand tying, sewing, gluing, stapling, or attaching fastener.
Clean and remove damaged or otherwise inferior materials to prepare raw products for processing.
Tasks via O*NET "Packaging and Filling Machine Operators and Tenders" (51-9111.00).
What AI can already do
0 of 20 tasks · with tools
Even with tools, no tasks here are labelled as something AI can do today. The work is judgment, presence, or context-heavy enough that the academic labelling sees no leverage.
Where humans still hold the line
20 of 20 tasks
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.
Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.
Observe machine operations to ensure quality and conformity of filled or packaged products to standards.
Remove finished packaged items from machine and separate rejected items.
Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly.
Inspect and remove defective products and packaging material.
Start machine by engaging controls.
Tend or operate machine that packages product.
Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides.
Regulate machine flow, speed, or temperature.
Adjust machine components and machine tension and pressure according to size or processing angle of product.
Supply materials to spindles, conveyors, hoppers, or other feeding devices and unload packaged product.
Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers.
Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout.
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.
Count and record finished and rejected packaged items.
Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing.
Secure finished packaged items by hand tying, sewing, gluing, stapling, or attaching fastener.
Clean and remove damaged or otherwise inferior materials to prepare raw products for processing.
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Methodology
This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.
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