THE IMPACT OF AI ON EMPLOYMENT AND ORGANISATION IN THE INDUSTRIAL WORKING ENVIRONMENT OF THE FUTURE

Abstract

In manufacturing companies, artificial intelligence (AI) applications like robotics, automation, and intelligent support are driving a broad transformation process that impacts not only the usage of algorithms but also people and organization. The working world will undergo a long-lasting transformation due to automation and algorithmization, whereby every value-adding activities will be impacted, ranging from skilled labour and management to operational manufacturing operations. AI's capacity for learning is predicted to allow it to act independently, aid people through systems, use resources more wisely, improve the environmental impact of operations, and open up new working models with direct involvement and increased transparency. It ought to boost productivity, improve client happiness, and simplify and enliven work. According to recent studies, the success of digitalization depends less on technology and investment and more on leaders' and employees can do when it comes to creating a supportive organizational culture and structure.The AI's impact on jobs is debatable. It ought to result in challenging and safe work, respite from physical and mental strain, and an improvement in work-life balance. However, there are worries about loss of jobs, disqualification, increasing digital system autonomy, and greater employee authority. But data shows that historically, two humans in the business have been replaced by one robot on average, while two new employments have been generated outside. AI will most likely act in a like manner. AI deployment necessitates management reorganization, teamwork, codetermination, qualification, and extensive knowledge sharing. The involvement Future leadership behaves flexibly within the parameters of democratically established interdisciplinary teams and self-organizing networks. Executives consider themselves to be moderators and coaches. Based on an extensive assessment of the literature, this research investigates the effects of AI's introduction in industrial businesses. Effects on employment, organizational culture, and structure will receive special consideration. We'll also look at industrial company AI applications that represent best practices. Finally, a critical conversation looks at the tools and potential for using AI to shape internal company transformation with all the necessary parties involved.