Will AI replace wellhead pumpers?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 47m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The other 5h 13m (65%) stays with people. Separately, BLS expects about 2% fewer 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 4 of this job's tasks in workplaces like this one, about 2h 47m of a typical shift. 6 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 pumps and flow lines for gas and fluid leaks. (1h 18m a shift; e.g. Spot (with Spot CAM+IR, FLIR MUVE C360, Enhanced Autonomy Payload), in use)
• Operate engines and pumps to shut off wells according to production schedules, and to switch flow of oil into storage tanks. (39m a shift; e.g. Ambyint InfinityRL / Autonomous Setpoint Management, in use)
• Start compressor engines and divert oil from storage tanks into compressor units and auxiliary equipment to recover natural gas from oil. (34m a shift; e.g. Hy-Bon vapor recovery systems (EPA Natural Gas STAR technology transfer), in use)
• Open valves to return compressed gas to bottoms of specified wells to repressurize them and force oil to surface. (17m a shift; e.g. ExxonMobil closed-loop gas lift optimization workflow (SPE 219553), in use)

5h 13m of a typical shift, or 65%, 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:

• Gauge oil and gas production. (1h 13m a shift)
• Monitor control panels during pumping operations to ensure that materials are being pumped at the correct pressure, density, rate, and concentration. (56m a shift)
• Perform routine maintenance on vehicles and equipment. (56m a shift)
• Repair gas and oil meters and gauges. (28m a shift)
• Prepare trucks and equipment necessary for the type of pumping service required. (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:

• 98% work in very hot or cold conditions at least weekly
• 97% work outdoors in all weather every day
• 55% say dealing with the public is very or extremely important

On Indeed, job postings in the Loading & Stocking sector are at 109% of their February 2020 level (all U.S. postings: 104%), up 12.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,700 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 $69,960 a year ($33.63 an hour), 37% above the median for all U.S. jobs ($50,980). Most people in this job earn between $44,100 and $98,170 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 a decline of 2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 18,000 jobs in 2035. Even so, it expects about 1,700 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 18,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 569th largest of the 796 jobs on this site. BLS expects about 18,000 in 2035.

The most common requirement is a high school diploma: about 80% 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: Operations Monitoring, Operation and Control, Repairing, Equipment Maintenance
• Get strong at the parts of the job that stay with people (listed above), which take 5h 13m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft Word, SAP software

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:

• Conduct regular inspections of equipment using drones or other advanced technology.

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:

• Roustabouts, Oil and Gas (28m touched, $47k median pay)
• Industrial Truck and Tractor Operators (7h 41m touched, $46k median pay)
• Pump Operators (3h 52m touched, $62k median pay)
• Tank Car, Truck, and Ship Loaders (2h 42m touched, $59k median pay)

Each task carries its own evidence label. For this job: 4 with robots in real deployments, 10 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.