The adoption of machine learning and high advanced technologies in most of the organizations and companies becomes a critical role. This fact is most obvious in the multinational companies and even domestic companies that work in production, supply chain and logistics.

This is due to the fact that technologies and computer machines become more dependable by human beings for their fast responsiveness, more intelligent and deep thinking. Also, those high standard computer technologies have many features that contribute in minimizing the cost of running the different business activities and the fast execution of required tasks. These technologically high advanced systems have revealed clear benefits and gains from being implemented in the warehouse management systems. On the other hand, there are some fears and challenges for the wide use of those fast developed technologies, especially the artificial intelligence. Some computer science specialists argue that the machine and the highly advanced artificial intelligence tools may have bad effects on different areas of businesses. Also, there are some challenges of implementing those techniques in the warehouse management systems. Therefore, in this research paper we explain the artificial intelligence effect on warehouse management operations and activities, by showing the features of traditional warehouse activities and the efficiency of operations of modern and AI-driven warehouses. Also, this article exposes the fears and challenges that face the same and conclude with some recommendations.