Tank Car, Truck, and Ship Loaders

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• 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.68
• Record operating data such as products and quantities pumped, gauge readings, and operating times, manually or using computers.63
• Test samples for specific gravity, using hydrometers, or send samples to laboratories for testing.62

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Observe positions of cars passing loading spouts, and swing spouts into the correct positions at the appropriate times.55
• Verify tank car, barge, or truck load numbers to ensure car placement accuracy based on written or verbal instructions.53
• Start pumps and adjust valves or cables to regulate the flow of products to vessels, using knowledge of loading procedures.52

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 52 puts Tank Car, Truck, and Ship Loaders in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 3 of 19 analyzed tasks lean automatable, 16 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $58,870median wage
• 10,700employed
• 1,300annual openings
• +4.2%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Industrial Truck and Tractor Operators 45
• Laborers and Freight, Stock, and Material Movers, Hand 45
• Conveyor Operators and Tenders 50
• Pump Operators, Except Wellhead Pumpers 56
• Hoist and Winch Operators 41
• Machine Feeders and Offbearers 47

FAQ — Tank Car, Truck, and Ship Loaders

What does a score of 52 mean for a Tank Car, Truck, and Ship Loaders?

It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 52 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: 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; Record operating data such as products and quantities pumped, gauge readings, and operating times, manually or using computers; Test samples for specific gravity, using hydrometers, or send samples to laboratories for testing. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.