Artificial Intelligence (AI) is transforming higher education globally, with profound implications for teaching, learning, and student experiences. AI tools such as ChatGPT and other natural language processing systems have introduced new opportunities for personalised learning, academic support, research facilitation, and inclusive education. At the same time, they present challenges related to academic integrity, misinformation, digital inequity, privacy, and overreliance on automated systems. College and university students, as the primary users of these technologies, are at the centre of this transformation. While AI can enhance critical thinking, problem-solving, and digital skills, it also raises concerns about reduced originality, increased plagiarism, and mental health risks associated with dependency. Some evidence has shown that students experienced heightened anxiety when over relying on AI tools, while structured AI mentoring systems were associated with reduced academic stress and improved time management. This manuscript explores the global impact of AI on college and university students, drawing on evidence from diverse regions to analyze benefits, risks, and contextual disparities. It further examines policy and institutional responses, highlights ethical considerations, and proposes recommendations for responsible adoption. The findings underscore the need for comprehensive AI literacy programs, equitable access initiatives, and clear governance structures to maximise benefits while mitigating risks. As AI continues to shape education systems worldwide, fostering a culture of responsible and ethical use is critical to preparing students for future academic and professional landscapes.
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