AI Literacy for Authors & Publishing Professionals
AI literacy is not about mastering tools. It’s about understanding scope, limits, risks, and context well enough to make informed decisions.
This category provides shared language for authors and publishing professionals navigating AI from different positions but within the same ecosystem. We define terms, separate signal from noise, and offer grounded explanations designed to reduce fear and confusion.
These posts are often the entry point into the broader conversation—especially for people who feel overwhelmed by headlines or pressured to take a stance before they’ve had time to learn.
If you’re looking for clear explanations without hype, this category lays the foundation.
Why Publishing Needs Content Marketers in Other Industries (And What WICMA Is Doing About It)
Publishing marketers need cross-industry peers. See how WICMA and a 25-week AI tool study produced a ranked list of AI tools publishers should know about.
Why BISG Should Be Deciding How AI Shows Up in Publishing (And What Its 2025 Survey Found)
The 2025 BISG/BookNet AI survey found 46% of publishing professionals use AI but 98% have concerns. Here’s what the data means.
AI in Publishing: What Can AI Actually Do for Publishers (and What Can’t It)?
What AI can realistically do for publishers, what it can’t replace, and how publishing teams can use it to work smarter without losing their human edge.
Why Publishing Needs a Human-First AI Strategy (and What Happens If We Don’t Build One)
Why publishing needs a human-first AI strategy, what the Kindle era taught us, and how learning-led adoption protects craft, jobs, and trust.