The concept of "AI Jaggedness," introduced by Ethan Mollick, describes how artificial intelligence can be highly effective at certain tasks while performing poorly at others. For example, AI can analyze data or generate slides rapidly but struggles with understanding client desires, navigating unspoken constraints, or achieving consensus. This phenomenon suggests that human jobs are being reshaped rather than replaced. As AI capabilities advance, new human advantages frequently emerge.