Will AI replace paperhangers?

Unlikely, though parts of the work are changing. About 1h 52m of an 8-hour shift goes to tasks touched by robots. The other 6h 8m (77%) stays with people. Separately, BLS expects about 4.3% 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 4 of this job's tasks in workplaces like this one, about 1h 52m of a typical shift. 12 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Smooth strips or sections of paper with brushes or rollers to remove wrinkles and bubbles and to smooth joints. (53m a shift; e.g. "墙纸铺贴机器人" (wallpaper laying robot), Guangdong Bozhilin / Bright Dream Robotics, in use)
• Measure surfaces or review work orders to estimate the quantities of materials needed. (20m a shift; e.g. Spot 'Setanta' with Trimble X7 scanner, in use)
• Apply sizing to seal surfaces and maximize adhesion of coverings to surfaces. (20m a shift; e.g. Okibo EG6/EG7, in use)
• Smooth rough spots on walls and ceilings, using sandpaper. (20m a shift; e.g. Okibo EG7, in use)

6h 8m of a typical shift, or 77%, 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:

• Place strips or sections of paper on surfaces, aligning section edges and patterns. (53m a shift)
• Cover interior walls and ceilings of rooms with decorative wallpaper or fabric, using hand tools. (39m a shift)
• Apply adhesives to the backs of paper strips, using brushes, or dunk strips of prepasted wallcovering in water, wiping off any excess adhesive. (39m a shift)
• Measure and cut strips from rolls of wallpaper or fabric, using shears or razors. (39m a shift)
• Remove old paper, using water, steam machines, or solvents and scrapers. (39m 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:

• 87% spend more than half the day on their feet
• 87% use their hands on tools, objects or controls more than half the time
• 54% talk face to face with others every day

On Indeed, job postings in the Construction sector are at 129% of their February 2020 level (all U.S. postings: 104%), up 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 200 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 $52,140 a year ($25.07 an hour), 2% above the median for all U.S. jobs ($50,980). Most people in this job earn between $36,020 and $69,050 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 4.3% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 2,400 jobs in 2035. It expects about 200 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 1,570 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 778th largest of the 796 jobs on this site. BLS expects about 2,400 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: Coordination, Speaking, Active Listening
• Get strong at the parts of the job that stay with people (listed above), which take 6h 8m of a typical shift
• Tools employers list: Google Docs, Microsoft Excel, 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:

• Drywall and Ceiling Tile Installers (46m touched, $59k median pay)
• Quarry Rock Splitters (0m touched, $49k median pay)
• Helpers for Painters, Paperhangers, Plasterers, and Stucco Masons (26m touched, $40k median pay)
• Carpet Installers (26m touched, $50k median pay)
• Insulation Workers, Floor, Ceiling, and Wall (0m touched, $49k median pay)

Each task carries its own evidence label. For this job: 5 with robots in real deployments, 15 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.