This study explores the transformative impact of artificial intelligence (AI) on the engineering profession in the context of Industry 5.0. It investigates how AI tools are being integrated into engineering workflows, how they affect efficiency, and what new skills and roles are emerging as a result. Conducted during November-December 2024, the research employed a quantitative approach, surveying 124 engineers, alumni of the Alba Regia Faculty at Óbuda University, on their experiences with AI adoption, skill shifts, and integration challenges. The findings reveal that AI is increasingly used in data processing, design, project management, and simulation, leading to time savings and improved decision-making. However, a significant knowledge gap persists: 20% of respondents reported no AI knowledge, while only 5% claimed advanced proficiency. Most participants emphasized the importance of AI-related training and expressed optimism about AI’s potential to simplify work and enhance job satisfaction. The study concludes that while AI offers clear benefits, its successful integration depends on continuous learning and targeted skill development. The emergence of hybrid roles and the need for collaboration with AI systems underscore the evolving nature of engineering in an AI-driven future.

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The Future of Intelligent Engineering and How AI Shapes the Profession

  • Monika Pogátsnik

摘要

This study explores the transformative impact of artificial intelligence (AI) on the engineering profession in the context of Industry 5.0. It investigates how AI tools are being integrated into engineering workflows, how they affect efficiency, and what new skills and roles are emerging as a result. Conducted during November-December 2024, the research employed a quantitative approach, surveying 124 engineers, alumni of the Alba Regia Faculty at Óbuda University, on their experiences with AI adoption, skill shifts, and integration challenges. The findings reveal that AI is increasingly used in data processing, design, project management, and simulation, leading to time savings and improved decision-making. However, a significant knowledge gap persists: 20% of respondents reported no AI knowledge, while only 5% claimed advanced proficiency. Most participants emphasized the importance of AI-related training and expressed optimism about AI’s potential to simplify work and enhance job satisfaction. The study concludes that while AI offers clear benefits, its successful integration depends on continuous learning and targeted skill development. The emergence of hybrid roles and the need for collaboration with AI systems underscore the evolving nature of engineering in an AI-driven future.