Universities are often focused on academic integrity and whether students are using AI to cheat, but this emphasis can overshadow a more urgent challenge: preparing students to use AI effectively in the workplace. The discussion argues that AI is not yet replacing employees on the scale suggested by many headlines. Instead, it is increasingly functioning as a force multiplier that helps workers become more efficient and effective.

Ryan Lufkin contends that higher education should therefore teach students how to work productively with AI, while strengthening distinctly human capabilities such as communication, creative thinking, critical evaluation, presentation, and interpersonal engagement. One example shows how AI can dramatically reduce the time required for routine product-design tasks, allowing a course to devote more attention to interviewing industry experts, presenting ideas, receiving feedback, and developing professional communication skills. The broader lesson is that universities can redesign learning around the combination of AI-enabled efficiency and enduring human skills.