BETA
Updated: Mar 24
BETA
Updated: Mar 24
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
61.7%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Helpers--Carpenters
They assist carpenters by carrying materials, cleaning up worksites, and holding tools to help build and repair structures like houses and furniture.
This role is evolving
The career of helpers in carpentry is labeled as "Evolving" because while most tasks are still done by humans, new technologies are starting to change how some work is done. AI and robotic tools, like layout robots and exoskeletons, are being tested to assist with specific tasks like measuring and heavy lifting.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of helpers in carpentry is labeled as "Evolving" because while most tasks are still done by humans, new technologies are starting to change how some work is done. AI and robotic tools, like layout robots and exoskeletons, are being tested to assist with specific tasks like measuring and heavy lifting.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Stable98.3%
98.3%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Stable94.2%
94.2%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Evolving33.1%
33.1%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Changing fast24.4%
24.4%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
4.5%
Growth Percentile:
68.7%
Annual Openings:
2,700
Annual Openings Pct:
27.2%
Analysis of Current AI Resilience
Helpers--Carpenters
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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].
Sources
AI in the real world
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].
Sources
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More Career Info
Career: Helpers--Carpenters
Parent Careers
Similar Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Fasten timbers or lumber with glue, screws, pegs, or nails and install hardware.
2
Smooth or sand surfaces to remove ridges, tool marks, glue, or caulking.
3
Construct forms and assist in raising them to the required elevation.
4
Install handrails under the direction of a carpenter.
5
Erect scaffolding, shoring, or braces.
6
Align, straighten, plumb, or square forms for installation.
7
Secure stakes to grids for constructions of footings, nail scabs to footing forms, and vibrate and float concrete.
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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