AI is already shaping how publishing teams work—often quietly, unevenly, and without shared language. Editorial, marketing, sales, operations, and leadership are encountering AI through tools they didn’t choose, platforms they didn’t design, and expectations that arrived before clear guidance did.

This category exists to bring clarity to that reality.

Here, we focus on how AI intersects with the actual work of publishing organizations: overloaded teams, complex workflows, author relationships, ethical responsibility, and long-term strategy. These posts are written for people inside publishing companies who need to make decisions that affect staff, authors, and the business itself—without chasing hype or freezing in place.

We look at what AI can realistically support, where human judgment remains essential, and how organizations can approach adoption in ways that strengthen trust rather than undermine it. That includes operations, governance, training, and leadership decision-making—not tools for tools’ sake.

If you’re responsible for guiding a publishing team through change, this category is designed to help you think clearly, ask better questions, and move forward with intention.