This study examines the role of artificial intelligence in Industry 4.0 by merging a review of global literature with in‐depth interviews conducted with Moroccan engineering students from a state school in Kenitra and Tangier. The literature review points out key trends and challenges from improvements in production efficiency, predictive maintenance, and quality control to difficulties with technical integration, skills shortages, and data security. In parallel the interviews provide insights into the theoretical opinions of students regarding the ongoing industrial changes and reveal a gap between global trends and local educational practices. Finally, the findings suggest that while AI has the potential to significantly enhance industrial operations, many obstacles remain before its full benefits can be realized. Addressing these challenges and research gaps is crucial for ensuring that AI can ensure a sustainable growth and innovation across industries.

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A Global Review and Empirical Study on Artificial Intelligence in Industry 4.0 with Insights from Moroccan Students

  • Anass Ben Abdelouahab,
  • Adham Chaibi,
  • Samia Haman,
  • Zineb Bentassil,
  • Aniss Moumen

摘要

This study examines the role of artificial intelligence in Industry 4.0 by merging a review of global literature with in‐depth interviews conducted with Moroccan engineering students from a state school in Kenitra and Tangier. The literature review points out key trends and challenges from improvements in production efficiency, predictive maintenance, and quality control to difficulties with technical integration, skills shortages, and data security. In parallel the interviews provide insights into the theoretical opinions of students regarding the ongoing industrial changes and reveal a gap between global trends and local educational practices. Finally, the findings suggest that while AI has the potential to significantly enhance industrial operations, many obstacles remain before its full benefits can be realized. Addressing these challenges and research gaps is crucial for ensuring that AI can ensure a sustainable growth and innovation across industries.