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STRATUSWORKFORCE SCAN

Subsector, 486

Pipeline Transportation

56,210 people work in this industry in the US, at mean pay of $105,150 a year (BLS, May 2025). What follows is how much of their working time the best AI models could finish, when, and in which jobs and tasks. Estimates.

now
32%

of the paid hours. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

$2.7B

a year: 36 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 41%
  • 12%
  • 48%
5%

of the paid hours are within reach now in tasks people already bring to Claude. Another 27% is within reach in tasks not yet seen there.

Across the US: 30% within reach now and 36% by the end of 2028, on the long-run pace at four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Share of the paid hours within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 41% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

What handing the work over would take

For the 34,136 people in jobs so far, 61% of the industry's people; the others are in the totals above and join this split as the review reaches their jobs. Shares of their working time within reach now, at the pace and reliability chosen above. Estimates. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

26%

about 18 million hours a year. The material can be handed to a model and the result handed back.

8%

about 5.4 million hours a year. The model has to be connected to the system the work lives in.

, not counted
8%

about 5.9 million hours a year. Short enough by length. This site leaves conversation with people, so it is not in the totals.

What their work is made of

  • 36%
  • 9%
  • 10%
  • 7%
  • 39%

Each task's time split among five kinds of doing, judged one task at a time; only documents and systems can count as within reach.

What changes for the people

For the 34,136 people in jobs reviewed task by task so far, by the end of 2028 on the long-run pace at four in five: the shares of their working time, from each job page's own map, weighted by how many people here do that job. It says which parts of the work change, never whether anyone keeps a job. Estimates.

Stays with people
55%

Conversation, in-person and hands-on work.

Becomes checking
39%

Desk work within reach in tasks where a mistake costs something or a licensed person signs.

Handed over
5%

Desk work within reach that is small if wrong, with lighter checks.

What most people here would learn first

How many of them have each skill among the first two things to learn on their job's page. Every state, and the US

  • Reviewing work you did not do yourself19,052 (56%)
  • Briefing a model and checking its drafts15,582 (46%)
  • The hands-on craft15,063 (44%)
  • Judgment where errors are severe14,180 (42%)
  • The conversations1,883 (6%)
  • Running AI inside the business systems1,440 (4%)
  • Signing off under your license620 (2%)
  • Dealing with people outside the organization40 (under 1%)

How far this has come

With GPT-4, measured in March 2023, 0% of this industry's paid hours were within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 18%. Today's estimate: 32%.

0%10%20%30%40%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 4% within reachGPT-5, August 2025: 6% within reachGemini 3 Pro, November 2025: 8% within reachClaude Opus 4.5, November 2025: 8% within reachGPT-5.2, December 2025: 10% within reachClaude Opus 4.6, February 2026: 10% within reachClaude Mythos Preview (early), April 2026: 18% within reachToday (estimate), November 2026: 32% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Robots and the physical work

Anthropic rates 49% of the working time of the people in this industry as physical work. For 35% of the working time, a robot has been shown doing most of the task somewhere: 18% in a purpose-built cell, 16% in a structured facility. 0.52 of 3.

  • Not physical 51%
  • No robot shown 14%
  • In a purpose-built cell 18%
  • In a structured facility 16%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. Weighted by the people in each occupation; each job's page names the robot behind each rated task.

Where the hours are

Jobs by hours within reach now. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index. The 40 largest jobs hold 84% of the people.

People: BLS counts for this industry, May 2025. Pay here: the median paid for the job in this industry, else its mean, else the national median. 87 smaller jobs (8,840 people) count in every total but are not listed. Task data covers 97% of the industry's people; the rest are in BLS "all other" groups with no task list, or in counts BLS does not publish.

The tasks with the most hours within reach by the end of 2028

Across the whole industry, on the chosen pace and reliability.

  1. Plan movement of products through lines to processing, storage, and shipping units, using knowledge of system interconnections and capacities.Petroleum Pump System Operators, Refinery Operators, and Gaugers
    1.4 million hours100% of the task within reach
  2. Monitor process indicators, instruments, gauges, and meters to detect and report any possible problems.Petroleum Pump System Operators, Refinery Operators, and Gaugers
    1.2 million hours100% of the task within reach
  3. Operate control panels to coordinate and regulate process variables such as temperature and pressure, and to direct product flow rate, according to process schedules.Petroleum Pump System Operators, Refinery Operators, and Gaugers
    881,506 hours100% of the task within reach
  4. Record, review, and compile operations records, test results, and gauge readings such as temperatures, pressures, concentrations, and flows.Gas Plant Operators
    796,221 hours100% of the task within reach
  5. 750,548 hours100% of the task within reach
  6. Determine causes of abnormal pressure variances, and make corrective recommendations, such as installation of pipes to relieve overloading.Gas Plant Operators
    716,527 hours100% of the task within reach
  7. Record and compile operating data, instrument readings, documentation, and results of laboratory analyses.Petroleum Pump System Operators, Refinery Operators, and Gaugers
    557,575 hours100% of the task within reach
  8. Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.Industrial Machinery Mechanics
    537,547 hours70% of the task within reach
  9. Plan movement of products through lines to processing, storage, and shipping units, using knowledge of interconnections and capacities of pipelines, valve manifolds, pumps, and tankage.Pump Operators, Except Wellhead Pumpers
    510,707 hours100% of the task within reach
  10. Read and analyze specifications, schedules, logs, test results, and laboratory recommendations to determine how to set equipment controls to produce the required qualities and quantities of products.Petroleum Pump System Operators, Refinery Operators, and Gaugers
    468,599 hours100% of the task within reach

Scan a typical company in this industry

The industry's largest jobs, in the proportions BLS counts across the whole industry, at the pay it pays, run through the company scan. A starting point before you have a roster, or a benchmark for the one you have. Or choose the whole industry: every occupation BLS publishes for it with task data, at its nationwide headcount, the sector report ($249 for the full report, or included in Pro).

Scan a typical companyOr paste your own roles

Inside this industry

Within reach now and by the end of 2028, long-run pace, four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

How it is built: BLS counts the people in each job in this industry; each job's tasks and their lengths give its share within reach at a date; the industry's share is those shares weighted by people. Value is pay times 1.43 for benefits and payroll costs. Seen in Claude use splits today's share by whether Anthropic saw people bring each task to Claude in 2025; other AI tools are not counted. How it works

Questions about this industry

How much of the work in Pipeline Transportation is within reach of AI now?
An estimated 32% of the paid hours in Pipeline Transportation are within reach of AI models now and 40% by the end of 2028, on METR's long-run pace at four in five (39% to 41% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which jobs in Pipeline Transportation carry the most hours within reach?
By hours within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index): Petroleum Pump System Operators, Refinery Operators, and Gaugers (6,300 people, 45% of their time, about 5.9 million hours a year); General and Operations Managers (2,610 people, 45% of their time, about 2.4 million hours a year); and Gas Plant Operators (5,710 people, 16% of their time, about 1.8 million hours a year).
Which tasks in Pipeline Transportation carry the most hours within reach by the end of 2028?
Plan movement of products through lines to processing, storage, and shipping units, using knowledge of system interconnections and capacities (Petroleum Pump System Operators, Refinery Operators, and Gaugers, about 1.4 million hours a year); Monitor process indicators, instruments, gauges, and meters to detect and report any possible problems (Petroleum Pump System Operators, Refinery Operators, and Gaugers, about 1.2 million hours a year); and Operate control panels to coordinate and regulate process variables such as temperature and pressure, and to direct product flow rate, according to process schedules (Petroleum Pump System Operators, Refinery Operators, and Gaugers, about 881,506 hours a year).
What would people working in Pipeline Transportation learn first?
Among the 34,136 people in jobs reviewed task by task, the skills most often among the first two things to learn on their job's page are reviewing work you did not do yourself (19,052 people); briefing a model and checking its drafts (15,582 people); and the hands-on craft (15,063 people). By the end of 2028 on the long-run pace at four in five, about 55% of their working time stays with people, 39% becomes checking a model's work and 5% can be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
How is this estimated?
BLS counts the people in each occupation in Pipeline Transportation (May 2025); each occupation's share of working time within reach comes from its O*NET tasks, each with an estimated length checked against GDPval, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. The industry's share is those shares weighted by people. Task data covers 97% of its people, and 61% are in occupations reviewed task by task. Data checked November 10, 2026.

How the estimates are made

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