This study explores the utilization and perception of Artificial Intelligence (AI) tools among students in higher education, particularly in the context of entrepreneurship education at Queen Mary University of London. Using a mixed-methods approach, including surveys and interviews, the research delves into how students employ AI tools and their perceived benefits and drawbacks. The findings reveal a diverse range of AI applications, highlighting benefits such as increased productivity, personalized learning, and enhanced linguistic capability. However, concerns regarding academic integrity, over-reliance on AI, and the need for clear usage guidelines are also identified. The study contributes to the understanding of AI's role in higher education and provides empirical evidence of AI usage from students' perspectives, emphasizing the importance of balanced, informed, and ethical use of AI tools. The research suggests that while AI can support self-directed learning and enhance learning outcomes, there is a need for clear guidelines and training to address potential issues such as laziness, lack of accuracy, and data privacy concerns. The findings also highlight the importance of integrating digital technology, such as AI tools, in entrepreneurship education to prepare students for future entrepreneurial endeavors.This study explores the utilization and perception of Artificial Intelligence (AI) tools among students in higher education, particularly in the context of entrepreneurship education at Queen Mary University of London. Using a mixed-methods approach, including surveys and interviews, the research delves into how students employ AI tools and their perceived benefits and drawbacks. The findings reveal a diverse range of AI applications, highlighting benefits such as increased productivity, personalized learning, and enhanced linguistic capability. However, concerns regarding academic integrity, over-reliance on AI, and the need for clear usage guidelines are also identified. The study contributes to the understanding of AI's role in higher education and provides empirical evidence of AI usage from students' perspectives, emphasizing the importance of balanced, informed, and ethical use of AI tools. The research suggests that while AI can support self-directed learning and enhance learning outcomes, there is a need for clear guidelines and training to address potential issues such as laziness, lack of accuracy, and data privacy concerns. The findings also highlight the importance of integrating digital technology, such as AI tools, in entrepreneurship education to prepare students for future entrepreneurial endeavors.