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Synthetic Data versus Grounding Data: How AI Progresses Toward Intelligence
Both synthetic data and high-quality original content play essential, complementary roles in developing intelligent AI — one fuels imagination, the other ensures reliability.
The $150 Billion Question: Why AI is the Publishing Industry's Richest Opportunity, Not its Reckoning
AI has created understandable anxiety for publishers, but it also unlocks a $150 billion opportunity as the industry's most valuable source of authoritative data.
AI Isn't Going to Pay for Content (At Least Not How You're Hoping It Will)
AI training will not become the content windfall publishers hope for. The real economic opportunity lies in inference — and the window to shape its terms is open now.
Big Tech's Final Rug Pull on Publishers
As AI platforms bypass traditional web traffic, publishers face an existential threat. This article explores how history is repeating—and why new models like BYOL and metered data use are essential for survival.
Apple TV for Publishing: Streaming, Renting, and Licensing in the AI Era
Two new models, Bring Your Own License (BYOL) and Metered Access, offer solutions for how AI changes user behavior and traditional publisher monetization.
AI Craves Premium Tokens—Publishers Just Need to Cash In
Not all tokens are equal; those from authoritative, semantically rich sources perform better. Publishers already own the premium sequences AI systems need.
Vision and Call to Action for AI and the Future of Books (4 of 4)
This final article in a four-part series lays out a vision for what the future of books with AI could look like—for readers and for the industry.
Why the Established AI Content Licensing Model Breaks with Books (3 of 4)
This third article discusses where the established content licensing models break for books and makes the case for why this is a problem worth solving.
The Current State of AI and Publishing (2 of 4)
This second article analyzes partnerships Digital Publishers have made with AI companies and sets the stage for why these won't work for Book Publishers.
AI and the Future of Book Publishing (1 of 4)
This first article in a series of four sets the stage and outlines the key concerns that need to be addressed for AI and books to have a future together.
A Beginner's Guide to Understanding Generative AI
Key AI concepts like "training", "inference", "hallucination", "fine-tuning" and "RAG" are put into simple terms for publishing professionals.
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