Artificial Intelligence (AI) is transforming education, bringing new solutions that simplify learning and teaching. The study in this investigation attempts to examine the perceived usefulness and perceived ease of use of AI in classrooms, particularly for lectures in the General Studies Department. Technology Acceptance Model (TAM) was used in this study that examines how AI tools simplify learning, making it more efficient, interactive, and customized, and how they are being measured and used. A guided questionnaire was employed to gather data on demographic variables, AI adoption, perceived benefits, drawbacks, and recommendations. Findings indicate that AI is significantly renowned for improving teaching, writing skills, individualized learning, and class engagement. Fears about AI-generated mistakes, access difficulties, and lack of human interaction continue to dominate. Furthermore, participants noted the need for improved AI accuracy, improved speech recognition, and more flexible learning. The study finds that while AI is useful when learning, it is at its top capacity at the mercy of usability concerns being ironed out and it is becoming increasingly stable. These results can assist instructors, policymakers, and programmers in realizing the best possible application of AI in support of successful and inclusive learning.