Geodetic Surveyors
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Measure large areas of the Earth's surface using satellite observations, global navigation satellite systems (GNSS), light detection and ranging (LIDAR), or related sources.
The occupation of Geodetic Surveyors has an automation risk of 60.1%, which is slightly below the base risk of 60.9%. This moderate risk reflects that while many routine aspects of geodetic surveying can be automated, there are still significant elements that require human expertise. The field often involves tasks that are repetitive and data-driven, which aligns well with the current capabilities of advanced software, robotics, and artificial intelligence. As technology continues to advance, the boundaries of automation for this occupation may further expand, impacting the overall risk level in the coming years. However, full automation is limited by specific skills inherent to human judgment and expertise. The tasks most susceptible to automation are those that revolve around structured data collection, analysis, and reporting. For Geodetic Surveyors, the top three most automatable tasks are: preparing progress or technical reports, analyzing control or survey data to ensure adherence to project specifications or land survey standards, and conducting surveys to determine positions, measurements, and features of land surfaces. These functions can often be streamlined with the use of survey drones, automated measurement instruments, and specialized software that can process and present vast amounts of geospatial data with minimal human intervention. Such automation improves efficiency and accuracy, while also reducing labor costs and minimizing the potential for human error in repetitive procedures. Despite these advances, several core responsibilities remain resistant to full automation due to their reliance on advanced reasoning, problem-solving, and subjective assessment. Notably, tasks such as determining the orientation and boundaries of land tracts using complex surveying equipment, recalculating or adjusting surveys to ensure accuracy and continuity, and reviewing and recommending upgrades to existing standards and equipment require context-specific judgment and adaptability. These activities involve interpreting nuanced contextual information, responding to unexpected challenges in the field, and applying innovative solutions—skills not easily replicated by machines. Additionally, bottleneck skills such as originality (with a resistance level of 2.9%) further insulate these tasks from automation, highlighting the enduring value of human insight and creativity in the profession.