Generative artificial intelligence (AI) has become one of the hottest topics in education and workforce development recently, as the likes of ChatGPT/GPT-4 and DALL-E disrupt existing systems in these spaces. While much of the discourse has revolved around the technology’s human-like capabilities and the potential for substitution of skills such as writing and coding, more likely is a future where humans and AI will work together, enabling more effective performance than either humans or AI can do alone. In this three-part self-guided learning module, NLL researchers Dr. Chris Dede, Ashley Etemadi, and Athena Tassis explore the affordances and challenges of generative AI in the context of learning and work.