The global HIV pandemic continues, particularly in Sub-Saharan Africa. By 2025, 40 million people will be living with HIV. The global cost of the pandemic is in the hundreds of billions of dollars. Better treatment means more people are living longer and costs will increase. The use of existing and emerging technologies is rare. Research institutions don’t share data. Data that drive US HIV policy in 2019 are from 2017 because of the time it takes for the CDC and NIH to combine data. The are many opportunities for big data, ML and AI to have a broader and continued impact on the HIV crisis. The use of these technologies can identify new avenues of research and help prioritize and focus efforts. We are starting to see these technologies used more and more. Several case studies will be presented. For example, advances in HIV vaccine research by Dr. David Heckerman; research at UCLA and Georgetown University looking at how social media can be used for tracking and predicting the spread of the epidemic; and work by researchers to improve care utilization in South Carolina. The opportunities for commercial and non-profit ventures to apply existing and emerging technologies like big data, ML and AI are countless. Tech4HIV is an organization working to drive these efforts into the tech sector and provides opportunities and resources for engagement.