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 collect data and make maps by measuring land, helping to create accurate maps and plans for construction and development projects.
This role is evolving
The career of a Surveying and Mapping Technician is labeled as "Evolving" because AI is being used to make mapping and data analysis faster and more efficient, but it doesn't replace human skills. While AI helps with analyzing images and managing data, technicians still need to work outside, plan surveys, and ensure accuracy.
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
The career of a Surveying and Mapping Technician is labeled as "Evolving" because AI is being used to make mapping and data analysis faster and more efficient, but it doesn't replace human skills. While AI helps with analyzing images and managing data, technicians still need to work outside, plan surveys, and ensure accuracy.
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
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
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
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
Surveying & Mapping Techs
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Survey and mapping work is getting smarter but not fully automatic. For example, computer programs can now spot roads, buildings or water in aerial photos much faster than people could by eye [1]. The US Geological Survey even built a new land-cover map by processing millions of satellite images (about 300 trillion pixels) with their software [2].
In offices, technicians use GIS computer systems to manage map data—selecting, editing, and combining images into maps [3] [3]. All this shows that AI and modern software help do many mapping tasks more easily.
But many parts of the job still need human work. Machines can’t cut brush or carry survey stakes in the field [3]. People must still plan surveys, walk the land, and check maps to make sure everything is correct.
Right now, AI tools mostly augment the job: they speed up image analysis and handle routine data work [1] [2], while humans handle the on-site and quality-control tasks.

AI in the real world
New tools are arriving quickly, but they spread gradually. Big organizations (like government mapping agencies) are already using AI because they process huge amounts of data and see large time and cost savings [1] [2]. For example, one study found that using computer vision for road mapping cuts time and errors compared to doing it by hand [1] [1].
However, advanced equipment (drones, software licenses, training) can be expensive. Smaller survey teams or local governments may wait until tools are cheaper or rules allow their use.
Economics and jobs also matter. The US Bureau of Labor Statistics still expects “surveying and mapping technicians” jobs to grow about 5% by 2034 [3], even as tools improve. This suggests companies will keep hiring people, often using AI to make workers more productive rather than replace them.
Social and legal factors also slow adoption: maps are used for things like property boundaries and safety, so agencies will be careful and keep humans in charge of final decisions.
In short, AI is helping in this field, especially for analyzing data and making maps faster [1] [2]. But many human skills — like working outside, solving field problems, and checking results — stay important. By learning to work with these new tools, young people can use technology to do their jobs better while still using the uniquely human parts of surveying.

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Median Wage
$51,940
Jobs (2024)
59,400
Growth (2024-34)
+4.5%
Annual Openings
7,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Monitor mapping work or the updating of maps to ensure accuracy, the inclusion of new or changed information, or compliance with rules and regulations.
Provide assistance in the development of methods and procedures for conducting field surveys.
Perform manual labor, such as cutting brush for lines, carrying stakes, rebar, and other heavy items, and stacking rods.
Maintain equipment and vehicles used by surveying crews.
Supervise or coordinate activities of workers engaged in plotting data, drafting maps, or producing blueprints, photostats, or photographs.
Search for section corners, property irons, and survey points.
Identify, research, and resolve anomalies in legal land descriptions, referring issues to title or survey experts as appropriate.
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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