This research delves into the intricacies of internet usage patterns among African American older adults, concentrating specifically on gender and age disparities. The primary objectives encompassed a thorough comparison of internet use within diverse gender and age cohorts, aiming to identify the correlates influencing internet engagement within these demographic segments. Drawing from the 2016 Wave of the Health and Retirement Study, a sample of 1117 older African American adults aged 50 and above was analyzed using sequential ordinal logistic regressions. The results unveiled significant gender and age differentials in the frequency of internet use. Noteworthy gender-specific variations in correlates emerged; specifically, among women, those who were older, and those who were facing limitations in activities of daily living were exclusively associated with decreased odds of more frequent internet use. Additionally, heightened depression levels were exclusively linked to reduced odds of more frequent internet use among men. Age-specific correlates indicated that, for the old-old cohort, education and cognition were the sole significant factors influencing internet use. In contrast, among young-old cohort, retirement, poverty, education, cognition, and depression emerged as predictive factors. The study underscores the importance of recognizing gender and age nuances when promoting internet use among older African Americans, offering valuable insights and laying the foundation for designing targeted interventions tailored to the distinct needs of different gender and age groups.