The study examined the utilization of artificial intelligent (AI) in teaching and learning in higher education for global best practices. Two null hypotheses were formulated to guide the study. The study adopted the ex-post facto research design. The population of the study consisted of 3800 students and staff of the University within Calabar campus. The stratified random sampling technique was used to select 208 students and staff from a population of 3800 using proportionality of 1.12% with students and staff as basis of stratification from the population. The sample of this study was two hundred and eight (208) respondents. The questionnaire was designed to measure the two sub-independent variables. Mean and standard deviation were used to answer the request questions. While Simple linear regression analysis statistical tool was employed to test the null hypotheses that were formulated to guild the study at 0.05 level of significance. The results of this study shows that there is a significant influence of utilization of artificial intelligent (AI) in teaching and learning in higher education for global best practices and the use of artificial intelligent (AI) in teaching and learning in higher education significantly predict staff and students performance in the university. The study concludes that, there is a significant influence of utilization of artificial intelligent (AI) in teaching and learning in higher education for global best practices and the use of artificial intelligent (AI) in teaching and learning in higher education significantly predict staff and students performance in the university. Based on the conclusion, it was recommended that since there is a significant influence of utilization of artificial intelligent (AI) in teaching and learning in higher education for global best practices, university staff and students should always make use of AI and the university management should put in place AI facilities to increase staff and students .....