Will AI replace tapers?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 41m of an 8-hour shift goes to tasks that AI or robots largely take over. The other 4h 19m (54%) stays with people. Separately, BLS expects about 1.6% 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 6 of this job's tasks in workplaces like this one, about 3h 41m of a typical shift. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 4 physical tasks, no robot has shown it can do the work yet.

• Apply additional coats to fill in holes and make surfaces smooth. (1h 11m a shift; e.g. Canvas 1200CX drywall finishing robot, in use)
• Spread and smooth cementing material over tape, using trowels or floating machines to blend joints with wall surfaces. (45m a shift; e.g. Canvas Finishing System (1550), in use)
• Sand rough spots of dried cement between applications of compounds. (39m a shift; e.g. Okibo EG7 / EG7+, in use)
• Sand or patch nicks or cracks in plasterboard or wallboard. (26m a shift; e.g. Canvas drywall finishing robots (1550, 1200CX), in use)

4h 19m of a typical shift, or 54%, 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:

• Spread sealing compound between boards or panels or over cracks, holes, nail heads, or screw heads, using trowels, broadknives, or spatulas. (1h 18m a shift)
• Press paper tape over joints to embed tape into sealing compound and to seal joints. (52m a shift)
• Use mechanical applicators that spread compounds and embed tape in one operation. (32m a shift)
• Work on high ceilings, using scaffolding or other tools, such as stilts. (26m a shift)
• Mix sealing compounds by hand or with portable electric mixers. (19m 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:

• 96% spend more than half the day on their feet
• 94% use their hands on tools, objects or controls more than half the time
• 56% carry high or very high responsibility for other workers' safety

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 900 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 $68,270 a year ($32.82 an hour), 34% above the median for all U.S. jobs ($50,980). Most people in this job earn between $43,670 and $107,110 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 1.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 16,000 jobs in 2035. Even so, it expects about 900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 13,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 626th largest of the 796 jobs on this site. BLS expects about 16,000 in 2035.

The most common requirement is a high school diploma: about 46% 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:

• Get strong at the parts of the job that stay with people (listed above), which take 4h 19m of a typical shift
• Tools employers list: Intuit QuickBooks, Microsoft Office 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:

• Helpers for Painters, Paperhangers, Plasterers, and Stucco Masons (26m touched, $40k median pay)
• Sewing Machine Operators (19m touched, $37k median pay)
• Welders, Cutters, Solderers, and Brazers (29m touched, $54k median pay)
• Drywall and Ceiling Tile Installers (46m touched, $59k median pay)
• Sawing Machine Setters, Operators, and Tenders, Wood (0m touched, $43k median pay)

Each task carries its own evidence label. For this job: 6 with robots in real deployments, 10 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.