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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Tank Car, Truck, and Ship Loaders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Loading jobs are "Somewhat Resilient" because AI is actively reshaping big parts of this work — especially paperwork, cargo tracking, and repetitive heavy lifting — even as human workers remain essential for operating equipment, making safety calls, and handling unpredictable situations on the ground. Autonomous robots and AI-driven systems are already moving containers at major ports and loading pallets into trucks, so the job is genuinely changing, not just in theory.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Loading jobs are "Somewhat Resilient" because AI is actively reshaping big parts of this work — especially paperwork, cargo tracking, and repetitive heavy lifting — even as human workers remain essential for operating equipment, making safety calls, and handling unpredictable situations on the ground. Autonomous robots and AI-driven systems are already moving containers at major ports and loading pallets into trucks, so the job is genuinely changing, not just in theory.
Read full analysisAnalysis of Current AI Resilience
Tank/Truck/Ship Loaders
Updated Quarterly • Last Update: 5/14/2026

If you load trains, trucks, or ships for a living, you've probably noticed that the equipment around you is getting smarter every year — but human hands are still doing a lot of the work. AI is showing up most strongly in the "information" parts of the job (tracking cargo, logging data, planning loads) and in the heaviest, most repetitive lifting tasks. Ports are embracing artificial intelligence and automation to redefine operations, enhance efficiency, strengthen security, and meet the demands of an evolving supply chain, and at facilities like Singapore's Tuas Port [1], electric-powered AGVs transport containers between quay cranes and storage yards, coordinated by AI-driven fleet management systems.
On the truck side, a German company recently unveiled an autonomous mobile robot that loads pallets directly into trailers [2], aiming at one of the last big warehouse automation frontiers — outbound materials handling between dock and truck. Even highway hauling is changing: Fortune reports [3] that a new startup's cabless autonomous freight vehicle is designed for 40-foot and 53-foot shipping containers and runs dock-to-dock, unloading at the destination rather than dropping a trailer and leaving. Still, much of today's AI augments workers rather than replacing them — handling paperwork, predicting cargo flows, and watching for safety risks while humans operate equipment and make judgment calls.

Adoption is happening, but unevenly. On the "fast" side, the economic pull is huge — autonomous freight pitches operators a possible 30 to 50% more efficiency in their business, and the International Association of Ports and Harbors [1] estimates that predictive maintenance can cut unplanned downtime by up to 30%. New products keep arriving, like YMX Logistics' autonomous yard operating system [4] launched in 2026.
On the "slow" side, labor pushback is significant. The International Longshoremen's Association [5] ratified a six-year contract that includes full protections against automation — an astounding feature unique among any dockworker labor agreement anywhere, and in November 2025 over a thousand workers signed a "Lisbon Summit Document" that created a Global Maritime Alliance to collectively fight any expansion of automating waterfront facilities around the world. The job market itself remains big and stable: the U.S. Bureau of Labor Statistics [6] projects hand laborers and material movers will grow from 6.95 million to about 7.21 million jobs by 2034.
The takeaway for young people: loading work isn't disappearing, but the highest-value skills will increasingly involve operating smart equipment, troubleshooting automated systems, and supervising AI-driven workflows — human judgment, safety awareness, and adaptability still matter a lot.

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They load and unload goods onto trucks, trains, and ships, making sure everything is secure and safe for transport.
Median Wage
$58,070
Jobs (2024)
12,000
Growth (2024-34)
+4.3%
Annual Openings
1,300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Remove and replace tank car dome caps, or direct other workers in their removal and replacement.
Seal outlet valves on tank cars, barges, and trucks.
Copy and attach load specifications to loaded tanks.
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.
Unload cars containing liquids by connecting hoses to outlet plugs and pumping compressed air into cars to force liquids into storage tanks.
Connect ground cables to carry off static electricity when unloading tanker cars.
Operate conveyors and equipment to transfer grain or other materials from transportation vehicles.
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.

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