Surveying and Mapping Technicians

Surveying and mapping work is already seeing some tasks done by software and robots. For example, O*NET lists core tasks like “identify and compile database information to create maps” and “analyze aerial photographs” ^[1]. Today, these are often done with GIS software or AI-powered image tools: computers can combine data and flag roads or buildings in drone photos.

A UK industry article notes that routine data collection and number-crunching are moving to algorithms ^[2]. At the same time, many field tasks still need people. O*NET also describes tasks like “position and hold vertical rods” for instruments ^[1].

Modern equipment (like robotic total stations) can track a prism automatically, but usually a person still sets it up and clears brush or carries stakes. In short, software and AI are helping with the heavy data work, but humans are still key for on-site setup, judgment, and safety. Experts say as computers take over repetitive work, our human skills (like creativity and careful decision-making) become even more important ^[2].

Surveying firms may adopt AI tools at different speeds. One factor is cost: surveyors earn a modest wage (about \$25/hour on average ^[3]), so buying expensive drones or LIDAR can be a big upfront investment. On the other hand, tech can save time and money on large projects.

Training is another factor – most mapping technicians need only a high school diploma ^[3], meaning companies can hire more people instead of replacing them with machinery. Industry leaders do see a shift toward digital tools: for example, 93% of real-estate and construction professionals say “digital transformation” is essential ^[2]. Another point is trust and rules – professional surveyors often must sign off on maps, so full automation isn’t allowed by law yet.

Overall, AI offers useful tools for map-making, but people still guide and check the work. Future jobs will likely mix new tech and traditional skills, with humans supervising the AI-driven tools ^{[2] [3]}.