Will AI replace biofuels processing technicians?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 42m of an 8-hour shift goes to tasks that AI or robots largely take over. The other 4h 18m (54%) stays with people. Separately, BLS expects about 2.3% 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 7 of this job's tasks in workplaces like this one, about 3h 42m of a typical shift. 7 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 2 physical tasks, no robot has shown it can do the work yet.

• Monitor batch, continuous flow, or hybrid biofuels production processes. (1h 30m a shift; e.g. Spot with CAM+IR and acoustic payloads, Orbit fleet software, in use)
• Operate valves, pumps, engines, or generators to control and adjust biofuels production. (42m a shift; e.g. Pavilion8 model predictive control (Rockwell Automation) at Cardinal Ethanol, in use)
• Operate chemical processing equipment for the production of biofuels. (30m a shift; e.g. Yokogawa Autonomous Control AI (FKDPP) at ENEOS Materials, in use)
• Inspect biofuels plant or processing equipment regularly, recording or reporting damage and mechanical problems. (24m a shift; e.g. Boston Dynamics Spot with CAM+IR / acoustic payload and Orbit, in use)

4h 18m of a typical shift, or 54%, 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 and record biofuels processing data. (42m a shift)
• Collect biofuels samples and perform routine laboratory tests or analyses to assess biofuels quality. (36m a shift)
• Clean biofuels processing work area, ensuring compliance with safety regulations. (30m a shift)
• Perform routine maintenance on mechanical, electrical, or electronic equipment or instruments used in the processing of biofuels. (30m a shift)
• Process refined feedstock with additives in fermentation or reaction process vessels. (24m 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:

• 94% work in very hot or cold conditions at least weekly
• 93% talk face to face with others every day
• 81% carry high or very high responsibility for other workers' safety

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 1,200 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 $62,470 a year ($30.03 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $40,700 and $94,560 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 2.3% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 15,000 jobs in 2035. It expects about 1,200 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 14,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 606th largest of the 796 jobs on this site. BLS expects about 15,000 in 2035.

The most common requirement is a high school diploma: about 71% 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: Equipment Maintenance, Operations Monitoring, Operation and Control, Repairing
• Get strong at the parts of the job that stay with people (listed above), which take 4h 18m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Word, Python, R, SAS

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:

• Chemical Equipment Operators and Tenders (1h 57m touched, $58k median pay)
• Cooling and Freezing Equipment Operators and Tenders (2h 58m touched, $41k median pay)
• Petroleum Pump System Operators, Refinery Operators, and Gaugers (3h 7m touched, $97k median pay)
• Water and Wastewater Treatment Plant and System Operators (2h 10m touched, $60k median pay)

Each task carries its own evidence label. For this job: 6 with robots in real deployments, 1 with robots sold or demonstrated, 12 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.