Will AI replace hydrologists?

Not replace, but it is changing the job. About 1h 44m of an 8-hour shift goes to tasks touched by AI working on its own. The breakdown: 1h 20m that AI mostly does alone, 25m that robots have done in real workplaces. The other 6h 16m (78%) stays with people. Separately, BLS expects about 1.5% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 25 tasks, about 1h 20m of a typical shift. The biggest ones:

• Prepare written and oral reports describing research results, using illustrations, maps, appendices, and other information. (1h 20m 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 25m of a typical shift. 1 more task has only been done in factory setups built around the machine, so it stays with people here. For 2 physical tasks, no robot has shown it can do the work yet.

• Measure and graph phenomena such as lake levels, stream flows, and changes in water volumes. (25m a shift; e.g. USGS streamgage network (stage recorders with satellite telemetry), in use)

6h 16m of a typical shift, or 78%, 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:

• Design and conduct scientific hydrogeological investigations to ensure that accurate and appropriate information is available for use in water resource management decisions. (55m a shift)
• Develop computer models for hydrologic predictions. (43m a shift)
• Coordinate and supervise the work of professional and technical staff, including research assistants, technologists, and technicians. (25m a shift)
• Study and document quantities, distribution, disposition, and development of underground and surface waters. (25m a shift)
• Evaluate research data in terms of its impact on issues such as soil and water conservation, flood control planning, and water supply forecasting. (25m a shift)

Part of the answer is the setting, not just the tasks. Work that is in person, hands on or high stakes is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 55% talk face to face with others every day

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 400 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 $96,600 a year ($46.44 an hour), 89% above the median for all U.S. jobs ($50,980). Most people in this job earn between $64,020 and $153,130 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 1.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 6,400 jobs in 2035. It expects about 400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 5,850 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 719th largest of the 796 jobs on this site. BLS expects about 6,400 in 2035.

The most common requirement is a master's degree: about 52% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate 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: Science, Mathematics, Systems Analysis, Complex Problem Solving
• Get strong at the parts of the job that stay with people (listed above), which take 6h 16m of a typical shift
• Tools employers list: The MathWorks MATLAB, R, Python, Microsoft PowerPoint, Microsoft Office software
• 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:

• Geoscientists (19m touched, $102k median pay)
• Remote Sensing Scientists and Technologists (34m touched, $123k median pay)
• Atmospheric and Space Scientists (48m touched, $99k median pay)
• Water Resource Specialists (32m touched, $167k median pay)
• Biochemists and Biophysicists (43m touched, $127k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 1 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.