Will AI replace environmental engineering technologists and technicians?

Unlikely, though parts of the work are changing. About 1h 26m of an 8-hour shift goes to tasks touched by robots. The breakdown: 37m that AI mostly does alone, 49m that robots have done in real workplaces. The other 6h 34m (82%) stays with people. Separately, BLS expects about 3.1% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 26 tasks, about 37m of a typical shift. The biggest ones:

• Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations. (37m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 3 of this job's tasks in workplaces like this one, about 49m of a typical shift. 4 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.

• Perform environmental quality work in field or office settings. (25m a shift; e.g. WSD 4th-generation Unmanned Surface Vessel (USV) water quality monitoring and sampling system, in use)
• Maintain process parameters and evaluate process anomalies. (18m a shift; e.g. Ammonia-Based Aeration Control (ABAC) system (real-time controller module plus DO, ammonia, TSS and nitrate probes driving four aeration blowers), in use)
• Assess the ability of environments to naturally remove or reduce conventional or emerging contaminants from air, water, or soil. (6m a shift; e.g. Environmental Sample Processor (2G/3G ESP), including LRAUV-mounted versions, in use)

6h 34m of a typical shift, or 82%, 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:

• Collect and analyze pollution samples, such as air or ground water. (55m a shift)
• Produce environmental assessment reports, tabulating data and preparing charts, graphs, or sketches. (43m a shift)
• Maintain project logbook records or computer program files. (25m a shift)
• Prepare permit applications or review compliance with environmental permits. (25m a shift)
• Inspect facilities to monitor compliance with regulations governing substances, such as asbestos, lead, or wastewater. (25m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 80% talk face to face with others every day
• 72% carry high or very high responsibility for other workers' safety
• 60% are in constant contact with other people

On Indeed, job postings in the Industrial Engineering sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 38% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,100 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 $59,920 a year ($28.81 an hour), 18% above the median for all U.S. jobs ($50,980). Most people in this job earn between $39,910 and $96,660 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 3.1% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 13,000 jobs in 2035. It expects about 1,100 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 12,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 638th largest of the 796 jobs on this site. BLS expects about 13,000 in 2035.

The most common requirement is a bachelor's degree: about 67% of people in the job said so in the official O*NET survey. 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: Science, Active Learning, Quality Control Analysis, Management of Personnel Resources
• Get strong at the parts of the job that stay with people (listed above), which take 6h 34m of a typical shift
• Tools employers list: Autodesk AutoCAD, Autodesk AutoCAD Civil 3D, Bentley MicroStation, C++, ESRI ArcGIS software
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. 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:

• Environmental Science and Protection Technicians, Including Health (3h 3m touched, $55k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 3 with robots in real deployments, 22 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.