This paper investigates gender inequality in the Artificial Intelligence (AI) era. Gender equality is one of the main goals of SDGs, which for years all the world countries have been striving to achieve, either by structurally and socially changing the domestic society or by helping other countries that suffer from this disease of inequality. While countries are working on the problem of inequality, artificial intelligence has been introduced to the world. Scholars have started to investigate the possible effect of AI on improving or even dis-improving equality. Due to the novelty of the AI research area, there aren't quantitative variables that capture that phenomenon. Therefore, most of the studies rely on the theoretical part of the story without any emphasis on the empirical side. Subsequently, in investigating the effect of AI on gender inequality, several studies explain the theoretical part only. The study will contribute to the existing body of literature by exploring the impact of artificial intelligence (AI) on gender inequality using theoretical and empirical approaches. To address the research question, the study retrieves the Gender Inequality Index (GII) from the United Nations Developmental Program (UNDP), and the number of jobs requiring AI knowledge that is demanded yearly by the Stanford Institute for Human-Centered Artificial Intelligence (HAI). By applying the panel data approach, the study finds that AI does decrease gender inequality, as well as the two variables have a long-run co-integration association.