Geodetic Surveyors

In contrast, some tasks remain firmly human. Training others, interpreting complex methods, and managing people still rely on human judgment. O*NET specifically notes geodetic surveyors “provide training and interpretation” of surveying methods ^[1], which AI can’t do on its own.

An industry expert points out that while AI can value property or crunch data, it cannot handle the emotions and ethics of land deals – “any attempt to use [AI] to manage the process would be hugely counterproductive” ^[4]. In short, computers and AI now do much of the data crunching and mapping, but people still set up the work, guide projects, and make the final decisions.

However, adoption also depends on cost, training, and trust. Advanced survey equipment and AI software can be expensive, and firms must train people in data science skills ^[4]. Because survey data often have legal importance (like property boundaries), any new method must be proven very accurate.

Privacy and fairness are also concerns: experts warn that the profession must address data privacy and algorithm bias as AI grows ^[4]. In practice, AI tends to be added where it helps with data-heavy parts of the job (like automatic mapping and quality checks ^{[2] [3]}), while tasks involving people, judgment or novel problems stay with humans. Overall, geodetic surveying is expected to become a human–AI partnership: computers handle routine data work quickly, and surveyors use their expertise for planning, problem-solving and communication.

This means the job will change but not disappear – surveyors who work with AI tools can do more advanced work, using their judgment and interpersonal skills to add value.