Last Update: 3/13/2026
Your role’s AI Resilience Score is
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
They assist skilled workers on construction sites by carrying materials, cleaning up, and doing simple tasks to support building projects.
This role is evolving
This career is labeled as "Evolving" because AI and robots are starting to handle some of the simpler and more repetitive tasks in construction, like moving earth or laying bricks. However, many tasks that helpers do, such as carrying unusual materials and making on-the-spot adjustments, still need human flexibility and problem-solving skills.
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 evolving
This career is labeled as "Evolving" because AI and robots are starting to handle some of the simpler and more repetitive tasks in construction, like moving earth or laying bricks. However, many tasks that helpers do, such as carrying unusual materials and making on-the-spot adjustments, still need human flexibility and problem-solving skills.
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
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
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Construction Trades Helper
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Helper roles in construction involve many simple, physical tasks that vary a lot. In fact, O*NET notes helpers cover a “wide range” of duties so detailed data isn’t listed [1]. Some of those duties are being automated.
For example, startups have built autonomous bulldozers and excavators that level and move earth without a driver [2]. Small robots like SitePrint can even paint floor plans on the construction floor [3]. A CDC/NIOSH review notes that modern construction robots can do jobs like site excavation, bricklaying, and drywall finishing [4].
These machines handle heavy or repetitive work very fast and precisely [4]. Even so, helpers do many unpredictable tasks – carrying odd-sized materials, cleaning debris, adjusting things on the spot – that machines still struggle with [2] [4]. In short, robots today assist with some manual tasks, but many helper duties remain human-powered.

AI in the real world
Construction firms are curious about AI but must balance costs and benefits. Analysts forecast a huge market for AI-driven construction robots (even a “multitrillion-dollar” market) [5], since machines can speed up work and lower injuries [4]. This is attractive when many sites face worker shortages [2].
On the other hand, custom robotics and AI systems are very expensive compared to current labor, and every job site is unique, so builders move carefully. Safety rules also play a role: even NIOSH notes more robots introduce new safety challenges [4]. In practice, experts expect people and machines to team up.
As one McKinsey expert said, the industry still needs “all of the workers” alongside the robots [2]. That means helpers who learn new skills – like operating or programming equipment – will remain valuable. In hopeful terms, AI and automation tend to take on boring or dangerous parts of the job, while human skills (problem-solving, creativity, teamwork) stay in demand [4] [2].

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Median Wage
$40,760
Jobs (2024)
26,300
Growth (2024-34)
+4.4%
Annual Openings
2,800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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