Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Tank/Truck/Ship Loaders:

42.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient tank car, truck, and ship loading work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For tank/truck/ship loaders, seven of eight sources had data, with Anthropic missing. On AI exposure, AI Resilience Model, Microsoft, and OpenAI Signals saw the hands-on physical work staying human, while Will Robots Take My Job pushed the other way. Weaker demand and pay signals pulled the score down, landing this role at "Somewhat Resilient" with medium confidence.

AI Resilience Report forTank Car, Truck, and Ship Loaders

$58,870 median salary1,300 annual openingsSOC Code: 53-7121.00

Tank Car, Truck, and Ship Loaders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

This career sits in the "Somewhat Resilient" category because automation is genuinely changing parts of the job, especially the paperwork, tracking, and monitoring tasks, but the hands-on, judgment-heavy work of safely loading tanks, trucks, and ships still needs real humans. High-tech ports and terminals are adding automated cranes, guided vehicles, and AI monitoring systems, which means workers will increasingly need to operate and interpret these tools rather than just doing manual tasks alone.

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is somewhat resilient

This career sits in the "Somewhat Resilient" category because automation is genuinely changing parts of the job, especially the paperwork, tracking, and monitoring tasks, but the hands-on, judgment-heavy work of safely loading tanks, trucks, and ships still needs real humans. High-tech ports and terminals are adding automated cranes, guided vehicles, and AI monitoring systems, which means workers will increasingly need to operate and interpret these tools rather than just doing manual tasks alone.

Read full analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Analysis of Current AI Resilience

Tank/Truck/Ship Loaders

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Tank/Truck/Ship Loaders jobs?

If you're worried about robots taking over loading jobs, here's the honest picture: parts of the work are being automated, but human workers are still very much in the mix. According to the automation industry group A3, all 10 of the largest U.S. container ports have adopted some form of maritime automation, with at least one terminal at each port using automated systems to track and communicate shipping container movements. At the highest-tech sites, optical character recognition reads container IDs and license plates, automated guided vehicles move boxes on optimized routes, and automated stacking cranes handle loading with real-time feedback [1].

In tank terminals, experts describe a shift toward "physical AI" that monitors for leaks and spills and streamlines regulatory reporting [2] — exactly the recording and monitoring tasks in this role. New tools like Logic's robotic pallet system that autonomously transfers goods between railcars and trucks [3] are beginning to augment transloading work. And in trucking, AI agents are already handling billing, document management, scheduling, and carrier vetting [4] — the paperwork side of loading.

Reveal More
AI Adoption

How fast is AI adoption growing for Tank/Truck/Ship Loaders?

Adoption is happening, but slower than headlines suggest. Cost is a huge barrier: fully automated greenfield terminals can require hundreds of millions in upfront capital, which is a big constraint for midsize ports with shorter windows for return on investment. Labor pushback also matters — the ILA argues that automation's "productivity" claims ignore truck gates, rail interfaces, and real-time human problem-solving, and that billions in tech costs get recouped by cutting jobs [5].

Readiness is another issue: a recent Adecco survey highlighted by MHL News found only 51% of logistics organizations have implemented technical solutions for workforce planning, and just 30% use AI in candidate sourcing [3]. Government forecasters expect gradual change too — BLS projects transportation and material moving occupations to grow at about the all-occupation average through 2034, though warehousing employment will grow more slowly because of automation [6]. The good news: port authorities are still investing heavily in unified data platforms and AI-powered infrastructure that need human operators to interpret and act on the data [7].

Skills like safety judgment, equipment troubleshooting, and coordinating with crews remain deeply human — and highly valuable.

Reveal More
Will AI replace Tank/Truck/Ship Loaders?

Will AI replace Tank/Truck/Ship Loaders?

Not entirely. We think AI will take over some tasks, but not the whole job.

Loading work is changing in real and visible ways. All 10 of the largest U.S. container ports have adopted some form of maritime automation, with automated guided vehicles, optical character recognition, and stacking cranes handling container movements at the most advanced terminals [1]. In tank facilities, AI is increasingly monitoring for leaks and managing regulatory reporting [2]. On the paperwork side, AI agents are already handling billing, scheduling, and document management in trucking [4].

But the full job is harder to automate than it looks. Safety judgment, equipment troubleshooting, and real-time coordination with crews are deeply human skills. Fully automated terminals require hundreds of millions in upfront capital, which slows adoption significantly. Port authorities are still investing in data platforms that need human operators to interpret and act on information [7]. That said, our 42.2% AI Resilience Score reflects real pressure: employer demand and earning potential for this role are both trending in a difficult direction through 2034.

The honest advice is to stay current with the technology, not to avoid it. Workers who can operate alongside automated systems and troubleshoot when they fail will be the hardest to replace.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

Latest AI news for Tank/Truck/Ship Loaders

As students pursue careers as Tank Car, Truck, and Ship Loaders, it's crucial to understand AI's evolving role in logistics. Articles highlight that while jobs face some automation risk, integrating AI tools can enhance efficiency. For instance, the piece on AI in tank container logistics illustrates how AI can optimize tracking and reduce costs, empowering workers to adapt and thrive. Embracing AI's potential not only prepares students for the future but also fosters resilience in their careers, ensuring they remain valuable in an evolving workforce.

More Career Info

Career: Tank Car, Truck, and Ship Loaders

They load and unload goods onto trucks, trains, and ships, making sure everything is secure and safe for transport.

Employment & Wage Data

Median Wage

$58,870

Jobs (2025)

12,800

Growth (2025-35)

+2.8%

Annual Openings

1,300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

70% ResilienceSupplemental

Clean interiors of tank cars or tank trucks, using mechanical spray nozzles.

2

68% ResilienceSupplemental

Perform general warehouse activities, such as opening containers and crates, filling warehouse orders, assisting in taking inventory, and weighing and checking materials.

3

67% ResilienceSupplemental

Remove and replace tank car dome caps, or direct other workers in their removal and replacement.

4

65% ResilienceCore Task

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.

5

65% ResilienceSupplemental

Test vessels for leaks, damage, and defects, and repair or replace defective parts as necessary.

6

62% ResilienceCore Task

Operate ship loading and unloading equipment, conveyors, hoists, and other specialized material handling equipment such as railroad tank car unloading equipment.

7

62% ResilienceSupplemental

Connect ground cables to carry off static electricity when unloading tanker cars.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.