Will AI replace packaging and filling machine operators and tenders?

Unlikely, though parts of the work are changing. About 37m of an 8-hour shift goes to tasks touched by robots. The other 7h 23m (92%) stays with people. Separately, BLS expects about 4.1% more 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 2 of this job's tasks in workplaces like this one, about 37m of a typical shift. 16 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

• Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers. (31m a shift; e.g. Formic robotics-as-a-service palletizer (Yaskawa Motoman HC20 cobot), in use)
• Start machine by engaging controls. (6m a shift; e.g. Universal Robots UR10 cobot at Dynamic Group, in use)

7h 23m of a typical shift, or 92%, 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:

• Tend or operate machine that packages product. (55m a shift)
• Observe machine operations to ensure quality and conformity of filled or packaged products to standards. (43m a shift)
• Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly. (43m a shift)
• Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor. (31m a shift)
• Remove finished packaged items from machine and separate rejected items. (31m 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:

• 89% spend more than half the day on their feet
• 86% use their hands on tools, objects or controls more than half the time
• 82% carry high or very high responsibility for other workers' safety

We track 1 sourced company move that affects this job. Most recent:

• Mar 17, 2026: Coffee co-packer Cascade Coffee runs six cobot palletizers (Rolling out)

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 41,000 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 $43,220 a year ($20.78 an hour), 15% below the median for all U.S. jobs ($50,980). Most people in this job earn between $33,390 and $60,030 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 growth of 4.1% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 393,000 jobs in 2035. It expects about 41,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 379,000 people in the U.S., roughly 0.24% of all workers (BLS, May 2025). That makes it the 112th largest of the 796 jobs on this site. BLS expects about 393,000 in 2035.

The most common requirement is a high school diploma: about 80% 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: Operations Monitoring, Operation and Control, Coordination, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 7h 23m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word

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:

• Molders, Shapers, and Casters (6m touched, $46k median pay)
• Foundry Mold and Coremakers (0m touched, $48k median pay)
• Structural Metal Fabricators and Fitters (0m touched, $51k median pay)
• Tire Builders (0m touched, $57k median pay)

Each task carries its own evidence label. For this job: 2 with robots in real deployments, 18 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.