This chapter discusses the usage and impact of artificial intelligence (AI), machine learning (ML), and large-language models (LLMs) to make data visualizations accessible. Specifically, research works are examined to understand and evaluate their respective tools built using AI, ML, and LLMs. Limitations and concerns arising from these technologies, such as their inaccuracies attributed to the lack of representation of people with disabilities, are also highlighted. Furthermore, thoughts and suggestions from experts in the domain of data visualization accessibility are included to understand how they envision these technologies in the context of visualization accessibility, the limitations they pose, and how these limitations can be overcome. Additionally, their perspectives on the future of data visualization accessibility are presented. The chapter concludes with a discussion of new technologies that have the potential to advance the accessibility of visualizations, including smart glasses and quantum computing.