Will AI replace print binding and finishing workers?

Unlikely, though parts of the work are changing. About 1h 12m of an 8-hour shift goes to tasks touched by robots. The other 6h 48m (85%) stays with people. Separately, BLS expects about 17.5% 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 2 of this job's tasks in workplaces like this one, about 1h 12m of a typical shift. 17 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.

• Monitor machine operations to detect malfunctions or to determine whether adjustments are needed. (1h a shift; e.g. Muller Martini Primera A110 saddle stitcher (installed line), in use)
• Set up or operate glue machines by filling glue reservoirs, turning switches to activate heating elements, or adjusting glue flow or conveyor speed. (12m a shift; e.g. Nordson adhesive filling systems / Fulfill Retrofit fill kit, in use)

6h 48m of a typical shift, or 85%, 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:

• Set up or operate machines that perform binding operations, such as pressing, folding, or trimming. (54m a shift)
• Install or adjust bindery machine devices, such as knives, guides, rollers, rounding forms, creasing rams, or clamps, to accommodate sheets, signatures, or books of specified sizes. (48m a shift)
• Examine stitched, collated, bound, or unbound product samples for defects, such as imperfect bindings, ink spots, torn pages, loose pages, or loose or uncut threads. (42m a shift)
• Trim edges of books to size, using cutting machines, book trimming machines, or hand cutters. (36m a shift)
• Prepare finished books for shipping by wrapping or packing books and stacking boxes on pallets. (36m 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:

• 94% spend more than half the day on their feet
• 82% talk face to face with others every day
• 72% use their hands on tools, objects or controls more than half the time

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 2,300 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 $42,290 a year ($20.33 an hour), 17% below the median for all U.S. jobs ($50,980). Most people in this job earn between $32,220 and $59,150 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 17.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 27,000 jobs in 2035. Even so, it expects about 2,300 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 33,000 people in the U.S., roughly 0.02% of all workers (BLS, May 2025). That makes it the 460th largest of the 796 jobs on this site. BLS expects about 27,000 in 2035.

The most common requirement is a high school diploma: about 88% 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, Quality Control Analysis, Judgment and Decision Making, Complex Problem Solving
• Get strong at the parts of the job that stay with people (listed above), which take 6h 48m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, 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:

• Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic (0m touched, $47k median pay)
• Engine and Other Machine Assemblers (0m touched, $54k median pay)
• Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic (18m touched, $49k median pay)
• Molders, Shapers, and Casters (6m touched, $46k median pay)
• Woodworking Machine Setters, Operators, and Tenders (12m touched, $43k median pay)

Each task carries its own evidence label. For this job: 2 with robots in real deployments, 23 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.