This study aimed to investigate the role of artificial intelligence (AI) applications in developing the academic and teaching skills of university professors, focusing on how AI integration influences teaching practices across different academic fields and levels of experience. A quantitative approach was employed using a structured questionnaire, administered to 150 university professors from various disciplines. The survey examined the extent of AI integration, perceived impacts on teaching and academic skills, and challenges encountered in adapting AI tools. Findings indicate moderate AI adoption, with higher integration among engineering and technology professors, and lower usage in social sciences and humanities. Professors with less teaching experience showed greater adaptability to AI tools. Key challenges identified include limited training, tool complexity, and data privacy concerns, yet many professors noted increased teaching efficiency and enhanced research capabilities due to AI. The study highlights AI’s potential to improve teaching practices and academic performance. However, it emphasizes the need for comprehensive training, equitable access to resources, and clear ethical guidelines to maximize AI’s effectiveness in academia. The findings provide insights for institutions aiming to support professors in adopting AI for academic and professional development.