Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Machine Feeders & Offbearers:
29.1%
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%).
Low
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
AI Resilience Report forMachine Feeders and Offbearers
$41,220 median salary•4,700 annual openings•SOC Code: 53-7063.00
Machine Feeders and Offbearers are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Machine feeders and offbearers are labeled "Not Very Resilient" because the core tasks of loading, unloading, inspecting, and marking parts are exactly the kind of repetitive, predictable work that robots and AI are best at replacing. Adoption is accelerating fast, with advanced technology use in manufacturing expected to jump from 26% to 68% over just five years, and companies are increasingly turning to automation because workers are harder to retain than ever before.
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Machine feeders and offbearers are labeled "Not Very Resilient" because the core tasks of loading, unloading, inspecting, and marking parts are exactly the kind of repetitive, predictable work that robots and AI are best at replacing. Adoption is accelerating fast, with advanced technology use in manufacturing expected to jump from 26% to 68% over just five years, and companies are increasingly turning to automation because workers are harder to retain than ever before.
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Machine Feeders & Offbearers
Updated Quarterly
How is AI changing Machine Feeders & Offbearers jobs?
Machine feeder and offbearer work — loading, unloading, fastening, inspecting, and marking — is exactly the kind of repetitive, predictable task that today's robots and AI handle well. According to one industry blog post, CNC and press tending, loading/unloading, simple pick-and-place, packaging steps, and secondary ops are being automated in 2026 because these tasks are stable, easy to standardize, and ideal for cobots and compact cells. AI is also augmenting the inspection part of the job: the Association of Equipment Manufacturers explains that "zero-shot visual inspection" [1] lets a machine identify objects and patterns it has never seen before by comparing what it sees to a reference image of something "good," then applying reasoning to look for cracks or other defects.
Humanoid robots are starting to take on material-moving tasks too — DC Velocity reports [2] that Agility Robotics' Digit moved more than 100,000 totes at a GXO Logistics facility in Georgia, although humanoid robot deployment in warehouses remained below 5% as of last year due to short operating time, long recharge cycles, limited field testing, and safety concerns.
Sources
How fast is AI adoption growing for Machine Feeders & Offbearers?
Adoption is accelerating fast in this field. PwC's 2026 outlook [3], surveying 443 industrial executives, found that advanced technology adoption is set to increase from 26% to 68% over five years, with production/operations among the heaviest users. A big driver is labor: the AEM notes that average tenure at a manufacturing company dropped from 20 years in 2019 to just three years in 2023, pushing employers toward machines.
The U.S. Bureau of Labor Statistics warns that warehousing firms are increasingly implementing automation solutions like automated guided vehicles, robots, and AI-based systems, and productivity gains are expected to limit labor demand [4]. Still, adoption won't be overnight — humanoid robots face high prices and a dexterity gap that are likely to persist into the next decade, and small manufacturers often lack the capital. The hopeful news for young workers: the World Economic Forum [5] projects that while 92 million jobs might be eliminated by 2030, 170 million new roles will be created because of AI, resulting in a net gain of 78 million.
Skills like robot maintenance, quality troubleshooting, and overseeing automated cells — things humans still do better than machines — are where this career is heading.
Sources
Will AI replace Machine Feeders & Offbearers?
In part. We think AI will eventually automate a real share of this work, but the transition will be uneven and it points toward better opportunities for workers who move with it.
The honest picture is that machine feeding and offbearing sits squarely in automation's crosshairs. Loading, unloading, and simple pick-and-place are exactly the repetitive, predictable tasks that cobots and automated cells handle well. The BLS warns that warehousing and manufacturing firms are increasingly adopting automated guided vehicles, robots, and AI systems, and that productivity gains are expected to limit labor demand [4]. Our own scorecard reflects this: a 29.1% AI Resilience Score puts this role below most occupations in long-term stability.
That said, the shift won't happen overnight. Humanoid robots still face high prices, limited field testing, and a real dexterity gap [2]. Small manufacturers often lack the capital to automate quickly. That window matters.
Use it to build toward the roles automation creates rather than the ones it replaces. Robot maintenance, quality troubleshooting, and overseeing automated cells are skills humans still do better than machines. The World Economic Forum projects that while tens of millions of jobs may be eliminated by 2030, even more new roles will be created because of AI [5]. This career can be a starting point, not a ceiling, if you treat it that way.
Sources
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Latest AI news for Machine Feeders & Offbearers
The recommended articles provide crucial insights for students pursuing careers as Machine Feeders and Offbearers. They highlight the significant risk of automation in this field, with reports indicating that many manual, repetitive tasks are likely to be fully automated by AI. However, some articles also emphasize the resilience of roles requiring physical precision and adaptability. For instance, understanding which tasks are vulnerable can help students focus on developing skills that enhance their employability in a changing landscape, ensuring they remain valuable in an AI-influenced work environment.
Will AI Replace Machine Feeders and Offbearers in 2026?
aicareerindex.com • 7/20/2026
Machine Feeders and Offbearers face direct AI substitution risk in 2026. See which tasks substitute, which skills stay durable, and the 6-month plan.
40 jobs AI can't touch in 2025, says Microsoft Research: Is your career on the list?
timesofindia.indiatimes.com • 8/1/2025
Careers News: A new Microsoft Research study reveals 40 jobs AI can't replace in 2025 — roles demanding physical precision,...
Microsoft reveals 40 jobs most at risk from AI and 40 that remain safe: Is yours among them?
www.financialexpress.com • 8/1/2025
A recent report from Microsoft has identified the 40 occupations most vulnerable to disruption by artificial intelligence.
These are the jobs that are most likely to be automated by AI
www.techspot.com • 7/30/2025
Through the looking glass: Artificial intelligence tools are seeping into daily work, but some jobs are feeling the impact far more than...
Which Jobs Face the Highest Risk of Automation, and Which Ones Are Likely Safe?
www.digitalinformationworld.com • 7/20/2025
Manual, repetitive jobs with low judgment risk full automation; AI-resistant roles rely on empathy and complexity.
More Career Info
Career: Machine Feeders and Offbearers
They load materials into machines and take finished products out, ensuring everything runs smoothly and efficiently.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$41,220
Jobs (2024)
46,500
Growth (2024-34)
-13.0%
Annual Openings
4,700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Weigh or measure materials or products to ensure conformance to specifications.
2
Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.
3
Record production and operational data, such as amount of materials processed.
4
Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.
5
Identify and mark materials, products, and samples, following instructions.
6
Open and close gates of belt and pneumatic conveyors on machines that are fed directly from preceding machines.
7
Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices.
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.
