AI in Publishing: Editorial, Metadata, and Reader Trust

As part of BISG’s AI and the Book Publishing Industry webinar series, this session turns the lens directly on publishers—and what the industry’s own data says about how publishing teams are approaching AI right now.

Built on findings from BISG’s 2025 industry-wide survey (550+ North American respondents across the publishing supply chain), this webinar highlights what publishing professionals are doing in practice: where AI is showing up in workflows, where adoption is stalling, and which concerns are shaping decisions at both the individual and organizational level. 

In a concise, data-forward presentation, we’ll share publisher-specific insights in the context of the broader market—then move into a moderated discussion focused on what the results mean for publishing operations, editorial decision-making, metadata and discoverability, and reader trust. We’ll also surface key questions the industry is still struggling to answer, helping inform BISG’s next phase of AI research and programming.

What you’ll learn:

• Where AI adoption stands today—and how publishing compares with other segments
• The most common publishing-related use cases (and which areas remain rare)
• The biggest pain points respondents reported—especially around IP, hallucinations, and market flooding
• Where organizations say they most need guidance (policy, closed/enterprise models, and best practices)
• Practical implications for how publishers plan, govern, and communicate AI use in 2026

Whether you’re experimenting with tools, formalizing internal guidance, or trying to understand what’s emerging across the industry, this session offers a clear, evidence-based snapshot of AI in publishing—what’s happening now, and what the data suggests comes next.