Share and intensity of work current AI systems can materially affect.
SOC 51-8093
Petroleum Pump System Operators and Refinery Operators AI displacement risk
Petroleum pump system and refinery operators run the panels that move oil through pipelines and process units. Control systems regulate routine flow automatically — mature automation — while operators verify meters, coordinate product movement, and respond when instruments disagree with reality.
Likely potential for exposed tasks to move to software after workflow integration.
The long-run question for this occupation is the energy transition, not AI: refinery count and throughput set employment. Day to day, automated control needs human verification, and pipeline scheduling is exception-driven work.
Distribution
Where Petroleum Pump System Operators and Refinery Operators sits across 620 tracked roles
Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
24 O*NET task statements matched to SOC 51-8093. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $96,710 (May 2025, US national). The latest BLS row matched SOC 51-8093.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Petroleum Pump System Operators and Refinery Operators
SOC 51-8093 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Petroleum Pump System Operators and Refinery Operators
The current evidence import matched 24 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks24
SOC51-8093
- Core task / ID 14309
Signal other workers by telephone or radio to operate pumps, open and close valves, and check temperatures.
- Core task / ID 14318
Maintain and repair equipment, or report malfunctioning equipment to supervisors so that repairs can be scheduled.
- Core task / ID 14305
Monitor process indicators, instruments, gauges, and meters to detect and report any possible problems.
- Core task / ID 14306
Start pumps and open valves or use automated equipment to regulate the flow of oil in pipelines and into and out of tanks.
- Core task / ID 14308
Operate control panels to coordinate and regulate process variables such as temperature and pressure, and to direct product flow rate, according to process schedules.
- Core task / ID 14310
Verify that incoming and outgoing products are moving through the correct meters, and that meters are working properly.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Operate control panels to regulate process variables
Exposure 34, automation 17%, augmentation 52%.
O*NET evidence: Operate control panels to coordinate and regulate process variables such as temperature... (ID 14308)
Monitor process indicators to detect problems
Exposure 36, automation 18%, augmentation 52%.
O*NET evidence: Monitor process indicators, instruments, gauges, and meters to detect and report any po... (ID 14305)
Verify products move through correct meters
Exposure 30, automation 14%, augmentation 48%.
O*NET evidence: Verify that incoming and outgoing products are moving through the correct meters, and t... (ID 14310)
Signal workers to operate pumps and check temperatures
Exposure 24, automation 10%, augmentation 44%.
O*NET evidence: Signal other workers by telephone or radio to operate pumps, open and close valves, and... (ID 14309)
TaskExposureAutomationAugmentation
Operate control panels to regulate process variables3417%52%
Monitor process indicators to detect problems3618%52%
Verify products move through correct meters3014%48%
Signal workers to operate pumps and check temperatures2410%44%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowPipeline Control Center Lead
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 120.
- Lead control-room operations
- Own scheduling systems
- Manage emergency response
credentialed transition
LowTerminal Operations Manager
Training horizon: 12-24 months. Skill overlap 60. Wage preservation signal 124.
- Learn tank-farm operations
- Manage custody transfer
- Own terminal safety programs
Comparison guides
Compare the next move before you commit
6-12 months
Petroleum Pump System Operators and Refinery Operators to Pipeline Control Center Lead
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Petroleum Pump System Operators and Refinery Operators into Pipeline Control Center Lead.
12-24 months
Petroleum Pump System Operators and Refinery Operators to Terminal Operations Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Petroleum Pump System Operators and Refinery Operators into Terminal Operations Manager.
What the AI risk score means for Petroleum Pump System Operators and Refinery Operators
The displacement pressure score for Petroleum Pump System Operators and Refinery Operators is 24. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Monitor process indicators to detect problems carries 18% automation pressure, while Operate control panels to regulate process variables carries 52% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $96,710 (May 2025, US national). Employment context: Refinery control with the energy transition overhead. Typical education: High school plus extensive process training.
Wage vulnerability is 26, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Routine flow is already automated
- Energy transition shapes the outlook
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Petroleum Pump System Operators and Refinery Operators, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Control panel operation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Process monitoring
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Meter verification
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Pipeline coordination
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Pipeline Control Center Lead, such as lead control-room operations.
- By 90 days, compare internal openings and external postings for Pipeline Control Center Lead or Terminal Operations Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Petroleum Pump System Operators and Refinery Operators
Will AI replace Petroleum Pump System Operators and Refinery Operators?
Petroleum pump system and refinery operators run the panels that move oil through pipelines and process units. Control systems regulate routine flow automatically — mature automation — while operators verify meters, coordinate product movement, and respond when instruments disagree with reality. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Petroleum Pump System Operators and Refinery Operators work are most exposed to AI?
Monitor process indicators to detect problems and Operate control panels to regulate process variables show the strongest automation pressure in this model. Operate control panels to regulate process variables and Monitor process indicators to detect problems are better treated as AI-augmented work.
What should Petroleum Pump System Operators and Refinery Operators learn next?
Start with Control panel operation, Process monitoring, Meter verification. The most practical adjacent paths in this model are Pipeline Control Center Lead and Terminal Operations Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics