This study examined the effect of Artificial Intelligence techniques on Operational Performance of manufacturing firms in Lagos State, Nigeria. Using a Survey Research Design, data were collected from 250 respondents and analysed with SPSS using regression analysis. The findings revealed that Machine Learning significantly affects Operational Efficiency (β = 0.558, p < 0.05), Deep Learning significantly affects Product Quality and Defect Detection (β = 0.527, p < 0.05), and Computer Vision significantly affects Waste Reduction and Quality Control (β = 0.495, p < 0.05). The study concluded that Artificial Intelligence significantly enhances operational performance. It was recommended that manufacturing firms should invest in ML, DL, and CV technologies, while government should provide incentives and training to support AI adoption in the manufacturing sector.