The study assessed the impact of artificial intelligence on Inclusive education in tertiary institutions in North Central Nigeria. The study used correlation method and correlation design. The population of this study comprises of all academic staff in all public tertiary institutions in North central Nigeria. The sample of this study consists of 367 academic staff from selected public tertiary institutions in the region. To determine the sample size, Krejcie and Morgan (1970) table of sample selection is employed by the researcher. A population of 8000 would require 367 sample. For the purpose of collecting data in this study, questionnaire was used. Respondents were asked to score themselves on a 4 – point Likert scale. To score the items, a value was assign to each items, Strongly Agree = 4, Agree = 3, Disagree = 2, strongly Disagree = 1. The data obtained from this study were subjected to statistical analysis. Frequencies and simple percentages were used to analyze the total number of respondents who completed the questionnaires. Pearson Product Moment Correlation was used to test all the two hypotheses. The 0.05 level of significance was used in rejecting or retaining the null hypotheses. The paper revealed that artificial intelligences aided the Inclusive education programme implementation in the tertiary institutions. The study also established a strong relationship between artificial intelligence and researches in Inclusive education in North-Central Nigeria. Based on the findings, the study recommends that government should invest on artificial intelligences facilities since they can influences aid teaching and learning in Inclusive education. Government should also provide adequate infrastructure facilities to support usage of AI facilities in the various institutions in the region and in Nigeria as a whole.