ChatGPT for Managers: How to Work Smarter

Why Read This from an HCI Perspective

This article shows ChatGPT not as a mere writing tool, but as something that supports everyday interactions—preparing conversations, drafting feedback, and organizing work. For HCI/UX practitioners, what matters is less about raw AI performance and more about how it changes the user flow: what it removes from the user’s plate, and where human judgment still needs to remain. In particular, it’s worth reading because it explores how AI assistance can realistically change the collaboration experience in management work, which is rich in context.

CIT's Commentary

The core of this piece is that AI is an ‘interaction partner’ that helps a manager organize their thinking, rather than a tool that simply ‘does the work for them.’ Writing feedback or preparing dialogue isn’t a task with a single correct answer—it involves managing relationships and context. In these areas, the more the AI produces a draft, the more clearly the final human involvement path must be defined. For example, even if the AI polishes wording to sound smooth, it’s still up to the person to take responsibility for how the message will be read emotionally by the recipient. So what’s important isn’t only the quality of the model’s output, but also when the user edits and when they approves it—and how easily they can trace and roll back what the AI generated. In Korean organizational culture, such assistance can improve work efficiency while also being misunderstood as a way to ‘package a superior’s judgment more convincingly.’ That makes trust design especially critical.

Questions to Consider While Reading

• Q.In the process of a manager revising AI-drafted feedback, what level of transparency is needed for trust to build?
• Q.What kind of interface would help an AI that supports conversation preparation avoid harming the natural flow of human dialogue?
• Q.How can we measure whether tools like ChatGPT improve team effectiveness within an organization—not just by subjective impressions, but with concrete metrics?