Generative AI on the Shopfloor – Opportunities for Industry and Employees
BDA AGENDA 25/2025 | Topic of the Week | December 16, 2025
Generative AI on the Shopfloor – Opportunities for Industry and Employees
The industrial workplace is undergoing a fundamental transformation: Generative Artificial Intelligence (GenAI) is making its way onto the shopfloor, reshaping production processes, workflows, and employee requirements. While GenAI has so far been used mainly in white-collar environments, more and more applications are emerging for blue-collar workers. The potential is enormous: GenAI can detect faults in production systems at an early stage, streamline processes, and make work more attractive for employees. Germany, as an industrial hub, is a pioneer in developing and applying new technologies – its high robot density and experience from Industry 4.0 provide ideal conditions for the widespread use of GenAI.
Practical examples demonstrate the benefits: Companies such as Siemens, thyssenkrupp, Kärcher and Schaeffler are already deploying GenAI tools like the Industrial Copilot or Google Gemini. These assistance systems help with troubleshooting, automating routine tasks, optimising production planning and quality assurance. Employees benefit from step-by-step instructions, automated reports, and the ability to phrase tasks in natural language. The integration of international teams is facilitated by AI-powered translations.
The human success factor: GenAI works best within a digital ecosystem, but people remain crucial. Digital skills and the willingness to work with new technologies are becoming increasingly important. Employees must be actively involved and trained, as GenAI learns from their input and supports them as a partner in everyday work. According to the Work Trend Index 2024, 75% of employees already use AI at work, 46% of them for less than six months – the pace of change is remarkable.
Strategic implementation: Successful deployment of GenAI requires careful planning, employee involvement, and ensuring data protection and security. Companies should identify areas of application, conduct cost-benefit analyses, and continuously evaluate how GenAI improves efficiency, quality, and satisfaction. Not every company currently has the infrastructure for GenAI, but digitalisation is advancing. Those who invest now will strengthen competitiveness and secure the future of Germany as an industrial location.
Conclusion: Generative AI is more than a technical tool – it is an innovation driver that is fundamentally transforming the world of work. Companies and their workforces should embrace new technologies and seize the opportunities GenAI offers together.
Teamassistenz | Walter-Raymond-Stiftung / Institut für Sozial- und Wirtschaftspolitische Ausbildung Team Assistant | Walter Raymond Foundation / Institute of Societal and Social Policy Training