Demand for AI literacy has grown sevenfold in two years as generative AI tools have moved from novelty to daily workplace utility, and it is becoming as crucial as digital literacy for career advancement. Twelve percent of employed adults now use AI daily in their jobs, and the World Economic Forum predicts that 40% of skills required will change within five years. AI literacy is defined as an individual's ability to comprehend and effectively utilize AI tools, including understanding how AI works, evaluating AI outputs critically, and recognizing the ethical implications of AI use. Most AI literacy frameworks organize competencies around three modes of engagement: understanding how AI systems work, evaluating AI outputs for accuracy and bias, and using AI tools to accomplish tasks. These frameworks often include functional, critical, and ethical domains, with the ethical domain covering data privacy, academic integrity, and how bias enters AI outputs through training data.