Abstract
In the manufacturing sector, the most important impact of AI would be to improve productivity and to introduce simplicity into the development process through mechanising activities traditionally done by humans. While a step towards complete automation has its own precision and productivity advantages, it poses socio-economic and ethical issues which need to be resolved before AI is completely implemented into the manufacturing industry. The recent success of industrial AI has many explanations for its presence. More affordable sensors and the automatic data collection process; more effective computer processing capabilities to execute more complicated tasks with lower costs at a faster pace, Faster networks for networking and more open cloud platforms for outsourcing data storage and processing resources. For the automotive sector, adaptation and creativity are highly important. This progress could contribute to sustainable production through the usage of modern technology. Over the last few years, the research has based on the development of artificial intelligence (AI) manufactures field and evaluated the massive increase of major technologies of current 'Web plus AI' age which provides a strong change in designs, processes, and communities of the industrial sector and also in the creation of AI. The following paper proposes new smart production systems and forms, the development of intelligent manufacturing processes and the intelligent research and technology architecture, based on the integration of AI innovation with information sharing, production and associated product technologies. This paper is an analysis of the impacts of AI in the production sector.