Somewhat Resilient
Last Update: 10/7/2026
AI Resilience Score for Material Moving Workers:
47.8%
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.
High
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.
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 analysisAnalysis of current AI resilience
Material Moving Workers
Updated quarterly
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.
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.
Will AI Replace Material Moving Workers, All Other?
replaceabilityindex.com • 9/20/2026
May 29, 2026 — Partially — Material Moving Workers, All Other is in the exposed tier. Most workflows will be co-piloted by AI; the role survives but the ... Read more
Incorporating AI impacts in BLS employment projections
www.bls.gov • 9/20/2026
by C Machovec · Cited by 24 — AI is well suited for the occupation's tasks; on the other hand, increased productivity from the use of AI may lower prices and increase demand ...
How Will AI Affect Hand laborers and material movers?
chatgpt.ca • 9/20/2026
Mar 16, 2026 — While AI can optimize logistics, routing, and inventory tracking, the physical labor itself is resistant to AI and requires advanced robotics ... Read more
Adoption of generative AI will have different effects across ...
equitablegrowth.org • 9/20/2026
by C Combemale — An exploration of the mechanisms that may shape generative AI's potential to transform the U.S. logistics workforce.
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.
Parent Careers
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
Perform manual labor to prepare or finish sites, such as shoveling materials by hand.
2
Handle slides, mud, or pit cleanings or maintenance.
3
Lubricate, adjust, or repair machinery and replace parts, such as gears, bearings, or bucket teeth.
4
Move levers, depress foot pedals, and turn dials to operate power machinery, such as power shovels, stripping shovels, scraper loaders, or backhoes.
5
Create or maintain inclines or ramps.
6
Operate machinery to perform activities such as backfilling excavations, vibrating or breaking rock or concrete, or making winter roads.
7
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.
