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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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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
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.
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Production Workers, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 4 sources.
AI is definitely changing factory floors, but it's doing so gradually and unevenly — which is why this career lands in "Somewhat Resilient" territory. Robots and smart systems are taking over repetitive, predictable tasks, meaning some of what production workers do today will look different in the years ahead.
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
AI is definitely changing factory floors, but it's doing so gradually and unevenly — which is why this career lands in "Somewhat Resilient" territory. Robots and smart systems are taking over repetitive, predictable tasks, meaning some of what production workers do today will look different in the years ahead.
Read full analysisAnalysis of Current AI Resilience
Production Workers, Other
Updated Quarterly • Last Update: 5/14/2026

If you're worried about robots taking over factory work, the honest answer in 2026 is: yes, AI is rapidly entering production floors — but mostly as a partner to workers, not a replacement. The National Association of Manufacturers reports the industry is "shifting decisively toward operations that can sense, respond and optimize with minimal human intervention," according to the NAM's "Manufacturing Trends 2026" e-book, signaling that smart, semi-autonomous systems are now the top trend shaping factories [1] [1]. Deloitte's analysis in Automation World explains that beyond predictive maintenance, AI tools now spot anomalies across machines, suggest corrections and surface insights humans lack bandwidth to find, and next-generation robots adapt, learn and handle complex split-second decisions previously impossible to automate.
Real factories are already piloting this: BMW recently introduced its first humanoid robot at Plant Leipzig [2] to test it alongside human assembly workers. Importantly, Brookings researchers stress that research on AI and the labor market is still in the first inning, and most factory tasks requiring physical dexterity, troubleshooting, and on-the-fly judgment still lean heavily on people.

Adoption is moving fast in some areas and slowly in others. On the "fast" side, persistent labor shortages and the need to stay competitive are pushing companies to invest — Manufacturing Dive notes that companies are leaning further into automated software, sensor technologies and robots to fill labor gaps and remain competitive. On the "slow" side, IndustryWeek's coverage of West Monroe's outlook frames 2026 as the year of "Turning AI from proof-of-concept into proof-of-value" — meaning many AI pilots still haven't paid off.
Deloitte adds that manufacturers need integrated data systems and modern architectures before AI agents can deliver real value, not bolted-on solutions, which takes time and money. The good news for young people entering this field: human skills like safety judgment, quality inspection, mechanical problem-solving, and learning to work with AI tools are exactly what employers will keep paying for as factories modernize.

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They help make and assemble products by following instructions, operating machines, and ensuring everything is done correctly and safely.
Median Wage
$38,820
Jobs (2024)
292,800
Growth (2024-34)
+0.5%
Annual Openings
31,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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