Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Material Moving Workers:

47.8%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient material moving 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 material moving workers, five of eight sources had data. Among AI exposure sources, AI Resilience Model rated the work High in resilience while OpenAI Signals landed at Medium, a modest split that keeps confidence at medium. Strong physical, on-site demands push human contribution high, but low wage growth pulls the score down, settling this role at "Somewhat Resilient."

AI Resilience Report forMaterial Moving Workers, All Other

$41,800 median salary•2,800 annual openings•SOC Code: 53-7199.00

Material Moving Workers, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Material moving work is labeled "Somewhat Resilient" because automation is genuinely changing the day-to-day reality of this field, even if it is not wiping out jobs entirely. Robots, automated vehicles, and AI-guided systems are taking over many of the repetitive, predictable tasks like transporting pallets or managing warehouse routes, which means the work humans do is shifting rather than disappearing.

Learn more about how you can thrive in this position

This role is somewhat resilient

Material moving work is labeled "Somewhat Resilient" because automation is genuinely changing the day-to-day reality of this field, even if it is not wiping out jobs entirely. Robots, automated vehicles, and AI-guided systems are taking over many of the repetitive, predictable tasks like transporting pallets or managing warehouse routes, which means the work humans do is shifting rather than disappearing.

Read full analysis

Analysis of current AI resilience

Material Moving Workers

Updated quarterly

Your move

How can Material Moving Workers prepare for AI?

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 Material Moving Workers

These articles highlight the evolving role of AI in the field of "Material Moving Workers, All Other." While AI can enhance logistics and efficiency, it is unlikely to fully replace manual labor, as tasks requiring physical presence remain resistant to automation. For instance, the replaceability index notes that most workflows will involve AI as a co-pilot, ensuring job security. Additionally, understanding how generative AI will transform logistics can help students prepare for a future where they work alongside advanced technologies, enhancing their skills and adaptability in this resilient career path.

More Career Info

Career: Material Moving Workers, All Other

They move and organize materials using equipment like forklifts or cranes to keep goods flowing smoothly in warehouses or construction sites.

Employment & Wage Data

Median Wage

$41,800

Jobs (2025)

27,800

Growth (2025-35)

+2.7%

Annual Openings

2,800

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

92% ResilienceSupplemental

Perform manual labor to prepare or finish sites, such as shoveling materials by hand.

2

91% ResilienceCore Task

Handle slides, mud, or pit cleanings or maintenance.

3

90% ResilienceCore Task

Lubricate, adjust, or repair machinery and replace parts, such as gears, bearings, or bucket teeth.

4

88% ResilienceCore Task

Move levers, depress foot pedals, and turn dials to operate power machinery, such as power shovels, stripping shovels, scraper loaders, or backhoes.

5

88% ResilienceCore Task

Create or maintain inclines or ramps.

6

86% ResilienceCore Task

Operate machinery to perform activities such as backfilling excavations, vibrating or breaking rock or concrete, or making winter roads.

7

85% ResilienceCore Task

Observe hand signals, grade stakes, or other markings when operating machines so that work can be performed to specifications.

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.