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Transportation and Material MovingGas Compressor and Gas Pumping Station Operators53-7071 · 2026-Q4
0% AI does it36% AI helps64% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 64%AI helps 36%AI does it 0%
Each ridge is a slice of the job's task time.Needs a human 64%AI helps 36%AI does it 0%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Gas Compressor and Gas Pumping Station Operators, O*NET-SOC 53-7071. 64% of the job’s task time still needs a human, so 64 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from O*NET, and where AI stands on each today. 64% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 64%AI helps 36%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 64%AI helps 36%AI does it 0%
Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures.AI helps
Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas.Needs a human
Record instrument readings and operational changes in operating logs.AI helps
Adjust valves and equipment to obtain specified performance.Needs a human
Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment.Needs a human
Operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials.Needs a human
Submit daily reports on facility operations.AI helps
Take samples of gases and conduct chemical tests to determine gas quality and sulfur or moisture content, or send samples to laboratories for analysis.Needs a human
Read gas meters, and maintain records of the amounts of gas received and dispensed from holders.AI helps
Turn knobs or switches to regulate pressures.Needs a human
Clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools.Needs a human
Maintain each station by performing general housekeeping duties such as painting, washing, and cleaning.Needs a human
Connect pipelines between pumps and containers that are being filled or emptied.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.

When could it be replaced?

Could be largely automated no sooner than 2044

80% of scenarios after 2044. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten scenarios behind its replacement range.

Today
Will AI replace this job?
Nah.
By 2045
30%
of our scenarios have AI largely doing this job by 2045 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)
By 2060
90%
of our scenarios have AI largely doing this job by 2060 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: this job mostly needs a person (Nah.)100%Today2030: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2030: 90.0% of scenarios: AI could do a little of this job (A little.)90%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 50.0% of scenarios: AI could do a little of this job (A little.)50%2035: 40.0% of scenarios: AI could partly do this job (Partly.)40%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 50.0% of scenarios: AI could partly do this job (Partly.)50%2040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 10.0% of scenarios: AI could partly do this job (Partly.)10%2045: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2045: 30.0% of scenarios: AI could largely do this job (Largely.)30%20452050: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2050: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2050: 60.0% of scenarios: AI could largely do this job (Largely.)60%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2055: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2055: 80.0% of scenarios: AI could largely do this job (Largely.)80%20552060: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2060: 90.0% of scenarios: AI could largely do this job (Largely.)90%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%0.0%100.0%
20300.0%0.0%0.0%90.0%10.0%
20350.0%0.0%40.0%50.0%10.0%
20400.0%40.0%50.0%0.0%10.0%
204530.0%50.0%10.0%0.0%10.0%
205060.0%30.0%0.0%0.0%10.0%
205580.0%10.0%0.0%0.0%10.0%
206090.0%0.0%0.0%0.0%10.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from O*NET work context, licensing and the evidence we have.

LiabilityMistakes are rated 4.4 out of 5 for consequence and decisions 4.0 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 4.8 out of 5; the sector has its own rules on who may do the work.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.5 and physical closeness 3.6 out of 5; caring for or serving people is 2.5 out of 5 in importance.
Physical work54% of the task time is physical; robots have been shown on 100% of that time.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then moderate-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (308 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$30–$3,080
A person’s wage for the same hours
$6,830–$14,730

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

54%
of the task time is physical work
Mobile robots
the kind of robot the physical work would need
Commercial in warehouses, hospitals and some outdoor sites; hands are still limited.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 64%AI helps 36%AI does it 0%
Writing · 17.8% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 18.6% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 0% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 9.8% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 53.8% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 64%AI helps 36%AI does it 0%
How exposed is it?

Still needs a human: 80/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 64% needs a human, 36% AI helps, 0% AI does it. Still needs a human: 80/100 ↑ safer. Will AI replace them? Nah.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 80/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI will likely automate monitoring, optimization, diagnostics, and some remote-control tasks, but human operators will still be needed for safety, maintenance, emergencies, regulatory compliance, and on-site judgment.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

Gas compressor and pumping station operations involve complex physical equipment monitoring, emergency response, and hands-on maintenance in hazardous environments that still require human judgment and presence, so while AI will increasingly assist with monitoring and optimization, full replacement within 10 years is unlikely.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will increasingly automate routine monitoring, diagnostic analysis, and system optimizations, human operators will still be required on-site to handle physical maintenance, sensor calibration, and unexpected emergency interventions.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate routine monitoring and control, but physical inspections, emergency response, maintenance, and safety accountability will likely keep humans essential, while reducing staffing levels.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Gas Compressor and Gas Pumping Station Operators? Nah. Still needs a human: 80/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/gas-compressor-and-gas-pumping-station-operators/ (accessed 3 October 2026).

Scores change with each release, so cite the release. The data is open under CC BY 4.0: credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: O*NET 31.0, US Department of Labor (CC BY 4.0).
  • Jobs, pay and projections: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics and Employment Projections 2025–35.
  • How AI is used today: Anthropic Economic Index; Microsoft Research, "Working with AI".
  • What AI can do: our task ratings (rubric r1) and the quality evidence register.
  • UK names and employment: ONS SOC 2020 coding index and Annual Population Survey.

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.