Will AI replace geological technicians?

Parts of the job are being automated. About 2h 27m of an 8-hour shift goes to tasks that AI or robots already do largely on their own. The rest still needs a person. The breakdown: 1h 47m that AI mostly does alone, 40m that robots have done in real workplaces. The other 5h 34m (70%) stays with people. Separately, BLS expects about 3.6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 3 of 29 tasks, about 1h 47m of a typical shift. The biggest ones:

• Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment. (51m a shift, AI mostly does it alone)
• Compile, log, or record testing or operational data for review and further analysis. (51m a shift, AI mostly does it alone)
• Interview individuals, and research public databases in order to obtain information. (6m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 40m of a typical shift. 9 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Collect or prepare solid or fluid samples for analysis. (40m a shift; e.g. RoboLogger EZ, in use)

5h 34m of a typical shift, or 70%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs. (40m a shift)
• Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis. (34m a shift)
• Operate or adjust equipment or apparatus used to obtain geological data. (28m a shift)
• Prepare notes, sketches, geological maps, or cross-sections. (23m a shift)
• Record readings in order to compile data used in prospecting for oil or gas. (23m a shift)

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 3h 54m for a person alone and about 27m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Compile, log, or record testing or operational data for review and further analysis (about 3h 54m alone, 27m with AI)

On Indeed, job postings in the Scientific Research & Development sector are at 84% of their February 2020 level (all U.S. postings: 104%), up 19.9% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $53,350 a year ($25.65 an hour), 5% above the median for all U.S. jobs ($50,980). Most people in this job earn between $35,770 and $99,560 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 7,600 jobs in 2035. It expects about 1,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 6,980 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 704th largest of the 796 jobs on this site. BLS expects about 7,600 in 2035.

O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operations Monitoring, Reading Comprehension, Time Management, Writing
• Get strong at the parts of the job that stay with people (listed above), which take 5h 34m of a typical shift
• Tools employers list: Microsoft Outlook, Microsoft Office software, Microsoft Excel, Adobe Illustrator, Autodesk AutoCAD
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Surveying and Mapping Technicians (1h 37m touched, $54k median pay)
• Environmental Engineering Technologists and Technicians (1h 26m touched, $60k median pay)

Each task carries its own evidence label. For this job: 4 observed in real AI use, 2 with robots in real deployments, 23 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.