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Artificial Intelligence

AI Is Reshaping Workers as Well as Work

The human work experience in manufacturing is being dramatically affected by AI.

Rawpixel com/Shutterstock
Source: Rawpixel com/Shutterstock

A revolution is underway not just in the mechanics of work but in the psychology of it. .According to Tim Wilson, Ph.D., director of technology and innovation strategy at SME.org., a nonprofit focused on manufacturing technology and talent, "We have entered a new era of productivity in which speed, customization, quality, and workforce empowerment, powered by AI, are central to the change."

How products are made is undergoing transformation. So is how people think, learn, and collaborate in new work situations. Wilson offers the following data:

  • 80% of small and medium enterprises anticipate that AI will transform their industry within the next decade. (Jobs for the Future & World Economic Forum, 2025)
  • 40% of companies are increasingly leveraging AI tools to streamline operations and enhance customer experience. (Exploding Topics, 2024)
  • More than 60% of manufacturing companies have developed strategies to integrate AI into their processes. (Accenture, 2025)
  • 70% of the skills used in most jobs will fundamentally change by 2035. (World Economic Forum, 2025)
  • More than half of manufacturers now use GenAI tools in their operations.
  • More than 40% plan to increase investment in AI and machine learning over the next three years. (Deloitte’s 2024 Future of the Digital Customer Experience Survey)

"AI influences the life cycle of the manufacturing process from concept to scale," says Wilson. "Its influence reaches beyond data analysis to practical applications on the shop floor, where AI-driven robots now detect and report errors in real time. This also simultaneously transforms worker attitude, behavior, and how manufacturers develop and retain talent.”

The Psychological Implications for Workers

The AI revolution has significant psychological dimensions. Employees in the manufacturing sector increasingly need to develop what Wilson calls "uniquely human" aptitudes—higher-level skills in human behavior and psychology, communication, and leadership.

As AI handles repetitive, rule-based tasks, human workers are elevated to more cognitively complex roles requiring:

  • Adaptive thinking and continuous learning
  • Psychological and emotional resilience amid rapid change
  • Enhanced communication across human-machine interfaces
  • Increased data analysis and troubleshooting capabilities, and
  • Leadership and communication skills to help guide AI-augmented teams.

"AI is accelerating the demand for continuous learning of these competencies, as it complements and supplements human capabilities," Wilson emphasizes.

AI Is Reshaping Manufacturing Psychology

According to Wilson, there are several dimensions of AI that drive its impact. They are:

Objective Decision-Making: While human decisions can be swayed by emotions and cognitive biases, AI systems can analyze data objectively, enhancing accuracy across various manufacturing processes with verifiable consistency.

Consistent Performance: AI solutions maintain constant output without experiencing fatigue or attention lapses, creating new psychological dynamics in 24/7 manufacturing environments.

Enhanced Pattern Recognition: AI excels at identifying subtle patterns in very complex data sets, complementing human intuition and experience in ways that create powerful cognitive partnerships.

Personalization at Scale: AI enables unprecedented customization in both products and learning experiences, satisfying psychological needs for individuation and personal growth.

The Path Forward: Psychological Adaptation and Growth

“AI is a disruptive force," Wilson acknowledges. He sees the future of manufacturing being at the intersection of psychology, technology, communication, and evolving consumer demand.

"We are experiencing a fundamental reimagining the physical and psychological dimensions of work itself. For manufacturing workers, this means developing new technical skills, new mental models, new cognitive frameworks, and increased emotional resilience."

The winners in this changing work environment, he contends, will be "those who adapt psychologically, embracing and supporting continuous learning. In an AI-augmented future, our uniquely human capabilities will become more valuable.”

References

Interview: Tim Wilson, Ph.D., Director of Technology and Innovation Strategy, Society for Management Engineering

Accenture. (2025). AI integration strategies in manufacturing: Industry report 2025. Accenture.

Jobs for the Future & World Economic Forum. (2025). The future of SMEs: AI adoption and transformation. World Economic Forum.

LinkedIn. (2025). Work change report 2025. LinkedIn. https://news.linkedin.com/2025/work-change-report-2025

Technology Magazine. (2025). WEF report: The impact of AI driving 170M new jobs by 2030. Technology Magazine. https://technologymagazine.com/articles/wef-report-the-impact-of-ai-driving-170m-new-jobs-by-2030

World Economic Forum. (2025). AI in the 2025 workplace. World Economic Forum. https://www.weforum.org/stories/2025/01/ai-2025-workplace/

Smith, J. A., Johnson, B. R., & Williams, C. D. (2025). The adoption of artificial intelligence in manufacturing and its impact on organizational psychology. Scientific Reports, 15, 86464. https://doi.org/10.1038/s41598-025-86464-3

Exploding Topics. (2024). 15 prominent companies using AI in 2024. https://explodingtopics.com/blog/companies-using-ai

Deloitte. (2024). Future of the digital customer. Deloitte Insights.

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