Aim: Next-generation sequencing (NGS) is able to describe the composition of human papillomaviruses (HPVs) as percent (%) reads rather than positive/negative results. Therefore, we used this unique approach to assess the prevalence of cervical HPVs of HIV infected (HIV+) in order to understand the determinants of being infected with higher % reads of high risk (HR)-HPVs and cervical abnormalities of atypical squamous cells of unknown significance or higher (ASCUS+). Methods: Study included 66 women characterized for relevant risk factors/cytology. Receiver-operating curve curve was used to derive the optimal % read cut point to identify ASCUS+ in relation to any HR-HPV genotype or other specific HPV genotypes. The determinants of ASCUS+ and HR-HPVs were tested using logistic regression. Results: Women with >20% reads of any HR-HPV or >12% any HR-HPV other than HPV 16/18 were 5.7 and 12.6 times more likely to be diagnosed with ASCUS+, respectively. Lower CD4 count was a significant determinant of >20% reads of HR-HPV (odds ratio [OR] = 4.1) or >12% any HR-HPV other than HPV 16/18 (OR = 4.5). Conclusion: We envision that the NGS-based HPV detection will be more accurate for screening and management of HIV+ at risk for developing cervical cancer (CC). We raise concerns regarding the limitations of 16/18-based HPV testing for triage and the efficacy of current HPV vaccines for preventing CC in HIV+.