The research aimed to demonstrate the impact of applications of artificial intelligence in its dimensions (neural networks, cognitive computing, machine learning) in improving crisis management in Jordanian pharmaceutical companies. Both the analytical and descriptive approaches were employed to help the research reach its goals, and the research population consisted of all Jordanian pharmaceutical companies, where a sample was formed. The research included individuals working at the upper administrative levels (general managers and their deputies) and middle administrative levels (department directors and department heads) in Jordanian pharmaceutical companies. To ensure the inclusion of all target groups, (15) questionnaires were distributed in each company, bringing the number of questionnaires distributed to (180). (169) questionnaires were retrieved, all of which were valid for analysis. The data was analyzed using (SPSS) software, and the results showed an impact Statistically significant for applications of artificial intelligence in improving the efficiency of crisis management in Jordanian pharmaceutical companies. The research recommends preparing smart applications based on machine learning for crisis management, which includes identifying potential risks and developing plans to confront them, and the necessity of subjecting company employees to training programs on how to deal with crises and potential risks. Organizing exercises and simulations to test plans, gain experience, and train employees on artificial intelligence applications.