Will AI replace chemical equipment operators and tenders?

Unlikely, though parts of the work are changing. About 1h 57m of an 8-hour shift goes to tasks touched by robots. The other 6h 3m (76%) stays with people. Separately, BLS expects about 3.6% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 5 of this job's tasks in workplaces like this one, about 1h 57m of a typical shift. 11 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

• Adjust controls to regulate temperature, pressure, feed, or flow of liquids or gases and times of prescribed reactions, according to knowledge of equipment and processes. (39m a shift; e.g. Yokogawa FKDPP autonomous control AI integrated with CENTUM VP DCS (JSR/ENEOS Materials plant), in use)
• Patrol work areas to detect leaks or equipment malfunctions or to monitor operating conditions. (34m a shift; e.g. Boston Dynamics Spot, in use)
• Inspect equipment or units to detect leaks or malfunctions, shutting equipment down, if necessary. (22m a shift; e.g. ANYmal X (ANYbotics), in use)
• Observe safety precautions to prevent fires or explosions. (17m a shift; e.g. Spot with MUVE C360 gas sensor (MFE Inspection Solutions integration), in use)

6h 3m of a typical shift, or 76%, 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:

• Monitor gauges, recording instruments, flowmeters, or products to ensure that specified conditions are maintained. (1h 13m a shift)
• Control or operate equipment in which chemical changes or reactions take place during the processing of industrial or consumer products. (1h 1m a shift)
• Record operational data, such as temperatures, pressures, ingredients used, processing times, or test results. (34m a shift)
• Draw samples of products at specified stages so that analyses can be performed. (22m a shift)
• Measure, weigh, and mix chemical ingredients, according to specifications. (22m 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:

• 87% carry high or very high responsibility for other workers' safety
• 79% work in very hot or cold conditions at least weekly
• 77% say a mistake would be very or extremely serious

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 14,000 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 $58,040 a year ($27.90 an hour), 14% above the median for all U.S. jobs ($50,980). Most people in this job earn between $37,440 and $92,250 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 146,000 jobs in 2035. It expects about 14,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 140,000 people in the U.S., roughly 0.09% of all workers (BLS, May 2025). That makes it the 228th largest of the 796 jobs on this site. BLS expects about 146,000 in 2035.

The most common requirement is a high school diploma: about 49% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. 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: Operation and Control, Operations Monitoring, Troubleshooting, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 6h 3m of a typical shift
• Tools employers list: SAP software, Microsoft Office software, Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Load products into tanks for shipment.

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:

• Biomass Plant Technicians (4h 58m touched, $102k median pay)
• Biofuels Processing Technicians (3h 42m touched, $62k median pay)
• Petroleum Pump System Operators, Refinery Operators, and Gaugers (3h 6m touched, $97k median pay)
• Water and Wastewater Treatment Plant and System Operators (2h 10m touched, $60k median pay)
• Chemical Plant and System Operators (1h 1m touched, $78k median pay)

Each task carries its own evidence label. For this job: 5 with robots in real deployments, 18 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.