An extension of the digital divide, the AI divide refers to the growing gap between individuals, communities, and companies who have access to cutting-edge Artificial Intelligence tools and those who do not. Roughly one-third of the global population (2.6 billion people) does not have regular access to the internet (which would include AI). Beyond physical access to technology – like hardware, software, or premium AI subscriptions – this divide also includes disparities in access to education and skills training that are critical for using AI effectively. AI’s rapid integration into the workplace disproportionately affects people in low-wage or routine jobs, who are more likely to face displacement from the jobs of the future. At the industry level, development and control of advanced AI is concentrated in the hands of multi-billion dollar, “Big Tech” corporations – such as Meta, OpenAI, Amazon, X, Google, and Microsoft. Although smaller start-ups are entering the AI space, they must overcome huge barriers, including the high cost of training LLMs and limited access to high-quality datasets. In learning about AI, students should reflect on their own AI privileges, as well as global AI divides, and consider what efforts could be effective in bridging the AI divide.