Table of Contents
Stonemasons
Stonemasons
The 40% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you build stone structures, such as piers, walls, and abutments. lay walks, curbstones, or special types of masonry for vats, tanks, and floors. Your job is considered Low Risk for AI automation.
Below is your job's AI vulnerability profile with detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.
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In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Marking reference points can be partially automated with AI tools, but human judgment is needed for accuracy and adaptation to site-specific conditions.
Shaping and cutting stone can be automated with CNC machines and AI, but human intervention is necessary for setup, monitoring, and adjustments.
Setting alignment requires manual skill and precision, which are challenging for AI to automate fully, especially in dynamic construction settings.
Applying mortar involves manual dexterity and precision, which are difficult for AI to replicate, especially in varied construction environments.
Applying decorative finishes involves manual skill and aesthetic judgment, which are challenging for AI to automate fully.
Aligning materials requires manual skill and precision, which are challenging for AI to automate fully, especially in dynamic construction settings.
Cleaning excess materials is a repetitive task that can be largely automated with robotic systems, though human presence is needed for maintenance and oversight.
Laying brick involves manual dexterity and precision, which are difficult for AI to replicate, especially in varied construction environments.
Replacing masonry units requires manual skill and precision, which are challenging for AI to automate fully, especially in dynamic construction settings.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Administration and Management
2.03RiskAdministration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.
Engineering and Technology
2.08RiskEngineering and Technology involve repetitive, data-driven tasks (e.g., coding, simulations, diagnostics) that AI can automate efficiently, with growing capabilities in complex problem-solving and system design.
Design
3.38RiskDesign involves both repetitive tasks (e.g., layout generation) and creative judgment (e.g., aesthetic decisions), so AI can automate some aspects but not all, with human oversight likely required for complex, context-dependent work.
Building and Construction
3.99While AI can automate repetitive tasks like scheduling, design, and drone inspections, complex decision-making, safety compliance, and on-site adaptability remain heavily reliant on human expertise.
Mechanical
3.33RiskMechanical tasks involve both routine (e.g., simulation, design) and complex (e.g., physical intuition, creative problem-solving) elements, with AI capable of automating data-driven aspects but limited in handling novel, non-repetitive challenges.
Mathematics
4.15RiskAI already excels in computational mathematics, theorem proving, and problem-solving, with further advancements likely to automate more complex tasks in the next five years.
Physics
2.33RiskPhysics involves repetitive tasks like data analysis, simulations, and mathematical modeling that AI can automate efficiently, though creative theory development remains a human-centric aspect.
Chemistry
2.23RiskChemistry involves both data-driven tasks (e.g., molecular analysis, reaction prediction) and domain-specific reasoning, but AI is already making significant strides in automating experimental design and analysis, with growing capabilities in predictive modeling.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Reading Comprehension
2.88Active Listening
3Writing
2.88Speaking
3Mathematics
2.62Critical Thinking
3.62Active Learning
3Learning Strategies
2.5Monitoring
3Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Oral Comprehension
3.25RiskOral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.
Written Comprehension
2.75RiskWritten comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.
Oral Expression
3.25RiskOral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.
Written Expression
2.75RiskWritten Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.
Fluency of Ideas
2.63Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
2.75Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.
Problem Sensitivity
3.5Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.
Deductive Reasoning
3RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
3.13RiskInductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
Expert comments on the job, click on the expert to see their answers.
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What to do next?
Great news — your role is fairly safe for now, but it's smart to stay proactive. Choose your strategy below:
Recommended for Low Risk:
- • Upskill: Focus on human-centric skills that AI can't easily replicate (creativity, emotional intelligence, strategic thinking)
- • Use AI: Learn to leverage AI tools to enhance your productivity and stay ahead of the curve
- • Stay Alert: Monitor changes in your field to maintain your competitive advantage
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a Stonemasons has a 40% AI risk score, which is considered low risk. While some tasks in this role may be automated, the profession as a whole is for now, relatively safe from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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