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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Helpers--Carpenters are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The role of Helper-Carpenters is labeled as "Mostly Resilient" because most tasks, like cleaning up sites and carrying materials, still need the human touch and are not easily replaced by robots. While some tools like drones and wearable exoskeletons might assist with certain tasks, they are still in experimental stages and require human guidance and creativity.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
The role of Helper-Carpenters is labeled as "Mostly Resilient" because most tasks, like cleaning up sites and carrying materials, still need the human touch and are not easily replaced by robots. While some tools like drones and wearable exoskeletons might assist with certain tasks, they are still in experimental stages and require human guidance and creativity.
Read full analysisAnalysis of Current AI Resilience
Helpers--Carpenters
Updated Quarterly • Last Update: 2/17/2026

Helpers who clean up sites and carry materials still mostly do those jobs by hand. For example, U.S. job data says helpers spend time sweeping, carrying wood or tools, and tidying the site [1]. Today there are no off-the-shelf robots that do a whole construction cleanup. (One research team even built a special two-part vacuum robot to try this, with a small cleaner and a big dust bin, because a single robot could not handle both tight spaces and strong suction [2]!) A Finnish project noted that “cleaning work can be partly automated,” but right now “no mid-sized cleaning robots” exist for job sites [3].
In practice, workers still push brooms or drive trucks to move materials.
Some newer tech helps with measuring and marking. Robotic total stations and drones can survey large areas, and some teams have built a small mobile robot that “prints” chalk layout lines on the floor to mark wall or column positions [4]. But these are experimental helpers – they still need humans to set them up and guide them.
Cutting wood panels on site remains manual: helpers usually use handheld or power saws. For lifting and holding beams, engineers are testing wearable “exoskeleton” suits. Studies show these suits can reduce a worker’s muscle strain and fatigue when carrying heavy timber [2].
But such exoskeletons are still in trials, not a common tool on most jobs. In short, almost all helper-carpenter tasks are still done by people. Only a few lab or pilot projects (like prototype layout robots or exosuit trials) show how machines might assist [4] [2].

Putting AI-driven machines on building sites is slow and expensive. Job sites are messy and change every day, so machines must be very rugged and smart. That means high development costs.
For example, researchers note that when people clean a site, it costs a lot, which is why they’re trying to build a cleaning robot – but the needed robot designs are very complex [3] [2]. A helper might earn, say, $15 an hour, so a costly robot only makes sense if it really saves way more money. In many cases, it doesn’t yet.
Safety and trust are also big issues. Builders worry about machines tripping over cables or falling debris, so a new robot would need careful safety checks. Workers would need training to operate it.
On the plus side, labor shortages are pushing companies to consider robots. Some governments are even funding research. For instance, Finland’s KIRA‐digi construction program is sponsoring smart jobsite tools and robots to improve efficiency [3].
Overall, experts agree that helpers’ human skills remain crucial. Machines might assist with heavy lifting or precise layout, but jobs that need on-the-spot problem-solving and teamwork are still best done by people. Research shows that automation today is mostly augmenting helpers — giving them new tools — rather than replacing them.
This means helpers can stay hopeful: their creativity, judgment, and adaptability are hard for AI to copy and will keep them valuable on the job [2] [4].

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They assist carpenters by carrying materials, cleaning up worksites, and holding tools to help build and repair structures like houses and furniture.
Median Wage
$41,600
Jobs (2024)
25,200
Growth (2024-34)
+4.5%
Annual Openings
2,700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Erect scaffolding, shoring, or braces.
Position and hold timbers, lumber, or paneling in place for fastening or cutting.
Hold plumb bobs, sighting rods, or other equipment to aid in establishing reference points and lines.
Smooth or sand surfaces to remove ridges, tool marks, glue, or caulking.
Construct forms and assist in raising them to the required elevation.
Install handrails under the direction of a carpenter.
Select tools, equipment, or materials from storage and transport items to work site.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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