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Transportation and Material MovingTank Car, Truck, and Ship Loaders53-7121 · 2026-Q4
0% AI does it6% AI helps94% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 94%AI helps 6%AI does it 0%
Each ridge is a slice of the job's task time.Needs a human 94%AI helps 6%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.

Tank Car, Truck, and Ship Loaders, O*NET-SOC 53-7121. 94% of the job’s task time still needs a human, so 94 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. 94% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 94%AI helps 6%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 94%AI helps 6%AI does it 0%
Seal outlet valves on tank cars, barges, and trucks.Needs a human
Verify tank car, barge, or truck load numbers to ensure car placement accuracy based on written or verbal instructions.Needs a human
Start pumps and adjust valves or cables to regulate the flow of products to vessels, using knowledge of loading procedures.Needs a human
Check conditions and weights of vessels to ensure cleanliness and compliance with loading procedures.Needs a human
Observe positions of cars passing loading spouts, and swing spouts into the correct positions at the appropriate times.Needs a human
Monitor product movement to and from storage tanks, coordinating activities with other workers to ensure constant product flow.Needs a human
Operate ship loading and unloading equipment, conveyors, hoists, and other specialized material handling equipment such as railroad tank car unloading equipment.Needs a human
Record operating data such as products and quantities pumped, gauge readings, and operating times, manually or using computers.AI helps
Operate industrial trucks, tractors, loaders, and other equipment to transport materials to and from transportation vehicles and loading docks, and to store and retrieve materials in warehouses.Needs a human
Connect ground cables to carry off static electricity when unloading tanker cars.Needs a human
Copy and attach load specifications to loaded tanks.Needs a human
Remove and replace tank car dome caps, or direct other workers in their removal and replacement.Needs a human
Test samples for specific gravity, using hydrometers, or send samples to laboratories for testing.Needs a human
Test vessels for leaks, damage, and defects, and repair or replace defective parts as necessary.Needs a human
Unload cars containing liquids by connecting hoses to outlet plugs and pumping compressed air into cars to force liquids into storage tanks.Needs a human
Clean interiors of tank cars or tank trucks, using mechanical spray nozzles.Needs a human
Lower gauge rods into tanks or read meters to verify contents, temperatures, and volumes of liquid loads.Needs a human
Operate conveyors and equipment to transfer grain or other materials from transportation vehicles.Needs a human
Perform general warehouse activities, such as opening containers and crates, filling warehouse orders, assisting in taking inventory, and weighing and checking materials.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: 70.0% of scenarios: this job mostly needs a person (Nah.)70%2030: 30.0% of scenarios: AI could do a little of this job (A little.)30%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 70.0% of scenarios: AI could do a little of this job (A little.)70%2035: 20.0% of scenarios: AI could partly do this job (Partly.)20%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 20.0% of scenarios: AI could do a little of this job (A little.)20%2040: 40.0% of scenarios: AI could partly do this job (Partly.)40%2040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 30.0% of scenarios: AI could partly do this job (Partly.)30%2045: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%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: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2050: 50.0% of scenarios: AI could largely do this job (Largely.)50%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2055: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2055: 70.0% of scenarios: AI could largely do this job (Largely.)70%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%30.0%70.0%
20350.0%0.0%20.0%70.0%10.0%
20400.0%30.0%40.0%20.0%10.0%
204530.0%30.0%30.0%0.0%10.0%
205050.0%40.0%0.0%0.0%10.0%
205570.0%20.0%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 4.7 out of 5 for consequence and decisions 4.2 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 4.5 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 4.8 and physical closeness 3.5 out of 5; caring for or serving people is 2.9 out of 5 in importance.
Physical work82% of the task time is physical; robots have been shown on 100% of that time.
LicensingUsual entry requirement (BLS): no formal educational credential, then short-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (131 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$10–$1,310
A person’s wage for the same hours
$2,490–$5,240

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.

82%
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 94%AI helps 6%AI does it 0%
Writing · 11.4% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 6.2% 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 · 6% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 76.4% 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 94%AI helps 6%AI does it 0%
How exposed is it?

Still needs a human: 85/100↑ 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: 94% needs a human, 6% AI helps, 0% AI does it. Still needs a human: 85/100 ↑ 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: 85/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI and automation will reduce some manual loading tasks and improve monitoring and scheduling, but human workers will still be needed for safety oversight, inspections, exceptions, and regulatory compliance.

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

While AI will increasingly assist with scheduling, optimization, and monitoring of loading operations, the physical task of loading tank cars, trucks, and ships involves complex mechanical connections, safety-critical valve operations, and handling of hazardous materials that still require human oversight and intervention within the next decade, though increasing automation will likely reduce the number of workers needed per facility.

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

While AI and automation will increasingly handle scheduling, monitoring, and hazardous mechanical tasks, human workers will still be required for physical hookups, unexpected maintenance, and safety oversight in complex environments.

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

AI will automate routine monitoring and standardized loading at some facilities, but human oversight, safety checks, physical connections, and exception handling will likely remain necessary.

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 Tank Car, Truck, and Ship Loaders? Nah. Still needs a human: 85/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/tank-car-truck-and-ship-loaders/ (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.