Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Machine Feeders & Offbearers:
39.5%
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•4,000 annual openings•SOC Code: 53-7063.00
Machine Feeders and Offbearers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Machine Feeders and Offbearers land in the "Somewhat Resilient" category because automation is actively replacing the most repetitive parts of this job (loading, unloading, and basic inspection) but hasn't taken over everything yet. About 80% of facilities still run manual operations, so there's still real demand for human workers right now, even as cobots and robotic arms are spreading fast.
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Machine Feeders and Offbearers land in the "Somewhat Resilient" category because automation is actively replacing the most repetitive parts of this job (loading, unloading, and basic inspection) but hasn't taken over everything yet. About 80% of facilities still run manual operations, so there's still real demand for human workers right now, even as cobots and robotic arms are spreading fast.
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Machine Feeders & Offbearers
Updated Quarterly
How is AI changing Machine Feeders & Offbearers jobs?
If you're worried about robots taking over machine-tending jobs, here's the honest picture: automation of loading, unloading, weighing, and inspecting materials is happening right now, but it's happening piece by piece rather than all at once. Industry watchers say a number of manufacturers are already using physical AI, such as robotic arms and cobots, to fill labor shortages and handle repetitive tasks, and Nvidia's CEO called this the "ChatGPT moment for physical AI" [1] at CES 2026. At Automate 2026, Universal Robots showed off its new UR7e cobots paired with Cambrian's AI vision system [2] picking out copper cables and slotting them into server racks — exactly the kind of "load it, place it, check it" work machine feeders do today.
New lightweight cobots like Fanuc's CRX-3iA, launched in April 2026, are designed to extend automation to smaller tasks and tighter spaces [3], meaning even smaller shops can now automate simple feeding tasks. The National Association of Manufacturers says the industry is "shifting decisively toward operations that can sense, respond and optimize with minimal human intervention" in its Manufacturing Trends 2026 outlook [4].
Sources
How fast is AI adoption growing for Machine Feeders & Offbearers?
Adoption is being pushed forward hard by a giant labor gap: PYMNTS reports U.S. manufacturers are projected to leave 2.1 million jobs unfilled by 2030 [5], and companies are buying physical AI as a "continuity tool" to keep factories running with fewer people. But adoption isn't overnight — about 80% of facilities still run manual operations [3], because setup costs, safety caging, and integration are real hurdles. McKinsey emphasizes that manufacturers still face major talent attraction and retention challenges [6] as they retool for this new era, meaning workers who learn to troubleshoot, program, and supervise these machines are becoming more valuable, not less.
The good news for young workers: judgment, problem-solving, and hands-on flexibility — spotting a weird defect, fixing a jam, adjusting a setup — are still very human skills, and they're exactly what tomorrow's smart factories need.
Sources
Will AI replace Machine Feeders & Offbearers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 39.5% AI Resilience Score reflects a real tension: the repetitive loading, unloading, and inspecting that machine feeders do every day is exactly what physical AI is being built to handle. Cobots paired with AI vision systems are already picking and placing parts in live factory settings [2], and newer lightweight robots are making it easier for smaller shops to automate simple feeding tasks [3]. The National Association of Manufacturers describes a clear industry shift toward operations that can "sense, respond and optimize with minimal human intervention" [4]. Long-term employer demand and earning potential for this role are both areas of concern, and workers should take that seriously.
That said, about 80% of facilities still run manual operations [3], because setup costs and integration are genuine hurdles. And manufacturers are facing a projected shortfall of 2.1 million unfilled jobs by 2030 [5], which means factories still need people right now. The workers who will hold on longest are the ones who develop skills in troubleshooting, machine supervision, and quality judgment. Those are things a cobot still cannot do reliably on its own.
Sources
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Latest AI news for Machine Feeders & Offbearers
These articles highlight the growing impact of AI on the job market, particularly for roles like "Machine Feeders and Offbearers." Reports from Microsoft suggest that while many jobs are at risk, understanding AI's capabilities can empower workers in this field to adapt. For instance, automation might streamline certain tasks, but roles that require oversight of machinery and quality control remain essential. Embracing AI tools can enhance efficiency and offer new opportunities for professionals willing to evolve with technology, fostering resilience in their careers.
Three jobs most at risk of being taken over by AI - is yours under threat?
www.thesun.co.uk • 10/6/2025
THE three jobs most at risk of being taken over by AI have been revealed.British workers will be forced to compete with a surge of 100000...
AI and the Future of Work: Microsoft Identifies Jobs Most Vulnerable to GenAI
cloudwars.com • 8/13/2025
One of the biggest questions to arise since the launch of ChatGPT and the widespread emergence of GenAI has been, what will the impact be on...
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...
AI threatens to eliminate 40 job roles, according to Microsoft's latest research finding — Is your career safe?
www.windowscentral.com • 7/29/2025
A Microsoft Research paper has listed out 40 professions it believes are most at risk from the rise of AI, as well as 40 professions that...
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 (2025)
41,800
Growth (2025-35)
-13.1%
Annual Openings
4,000
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
Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.
2
Fasten, package, or stack materials and products, using hand tools and fastening equipment.
3
Inspect materials and products for defects, and to ensure conformance to specifications.
4
Add chemicals, solutions, or ingredients to machines or equipment as required by the manufacturing process.
5
Identify and mark materials, products, and samples, following instructions.
6
Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport.
7
Load materials and products into machines and equipment, or onto 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.
