Transportation and Material Moving · United States (national)
Packers and Packagers, Hand
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and the bigger shift looks near-term.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 22.0
Physical / roboticsrange 46.3 to 70.3
When the change is likely
Near-term, highlocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Graders and Sorters, Agricultural Products
It is skill-adjacent and less exposed (54.2 vs 58). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met.
58.3
Measure, weigh, and count products and materials.
58.3
Record product, packaging, and order information on specified forms and records.
58.3
Seal containers or materials, using glues, fasteners, nails, and hand tools.
58.3
Assemble, line, and pad cartons, crates, and containers, using hand tools.
58.3
Obtain, move, and sort products, materials, containers, and orders, using hand tools.
58.3
Mark and label containers, container tags, or products, using marking tools.
58.3
Clean containers, materials, supplies, or work areas, using cleaning solutions and hand tools.
58.3
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Local demand is declining
Task: Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met.
Task: Measure, weigh, and count products and materials.
Lower-risk adjacent roles
Graders and Sorters, Agricultural Products
54.2
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Packers and Packagers, Hand to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 10.0, robotics 58.3.
The timeline comes from the higher axis (58.3), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.