Will AI replace hand packers and packagers?

Some tasks are already being done by AI or machines; the rest still needs a person. About 3h 34m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The other 4h 26m (55%) stays with people. Separately, BLS expects about 5% fewer of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 4 of this job's tasks in workplaces like this one, about 3h 34m of a typical shift. 7 more tasks have only been done in factory setups built around the machine, so they stay with people here.

• Place or pour products or materials into containers, using hand tools and equipment, or fill containers from spouts or chutes. (1h 27m a shift; e.g. Chef Robotics food assembly pod, in use)
• Obtain, move, and sort products, materials, containers, and orders, using hand tools. (1h 7m a shift; e.g. Digit (Agility Robotics) at GXO Logistics, in use)
• Remove completed or defective products or materials, placing them on moving equipment, such as conveyors, or in specified areas, such as loading docks. (40m a shift; e.g. Stretch (Boston Dynamics), in use)
• Load materials and products into package processing equipment. (20m a shift; e.g. Schubert tog.519 cobot, in use)

4h 26m of a typical shift, or 55%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Seal containers or materials, using glues, fasteners, nails, and hand tools. (53m a shift)
• Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met. (47m a shift)
• Measure, weigh, and count products and materials. (40m a shift)
• Assemble, line, and pad cartons, crates, and containers, using hand tools. (40m a shift)
• Mark and label containers, container tags, or products, using marking tools. (33m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 73% spend more than half the day on their feet
• 68% use their hands on tools, objects or controls more than half the time
• 57% carry high or very high responsibility for other workers' safety

We track 2 sourced company moves that affect this job. Most recent:

• Mar 17, 2026: Coffee co-packer Cascade Coffee runs six cobot palletizers (Rolling out)
• May 7, 2025: Amazon puts touch-sensing Vulcan robot to work stowing items (Rolling out)

On Indeed, job postings in the Loading & Stocking sector are at 109% of their February 2020 level (all U.S. postings: 104%), up 12.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 62,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $36,280 a year ($17.44 an hour), 29% below the median for all U.S. jobs ($50,980). Most people in this job earn between $27,890 and $47,100 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects a decline of 5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 528,000 jobs in 2035. Even so, it expects about 62,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 560,000 people in the U.S., roughly 0.36% of all workers (BLS, May 2025). That makes it the 74th largest of the 796 jobs on this site. BLS expects about 528,000 in 2035.

The most common requirement is a high school diploma: about 54% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 4h 26m of a typical shift
• Tools employers list: Autodesk AutoCAD, Microsoft Excel, Microsoft Office software, Microsoft Word, SAP software

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Agricultural Products Graders and Sorters (0m touched, $36k median pay)
• Cleaners of Vehicles and Equipment (1h 11m touched, $36k median pay)
• Packaging and Filling Machine Operators and Tenders (37m touched, $43k median pay)

Each task carries its own evidence label. For this job: 4 with robots in real deployments, 8 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.