Blog

Cashmere and Charlesworth Group Announce Partnership to Bring Publishers' Premium Content to China's AI Market

The Effective Download: A New Metric for AI Consumption

COUNTER metrics break under AI consumption. We propose the Effective Download — a token-based unit that captures both partial reads and repeated reference, mapping cleanly back to investigations and requests.

Discovery Is Becoming an AI-Native Workflow

Discovery in scholarly publishing is no longer a search box sitting on top of a content repository. It is becoming a workflow layer that moves users from question to understanding to evidence with less friction. That shift is the starting point of a new essay on the KGL blog, written by Hong Zhou, VP of Product Management, and Adrian Stanley, Chief Business Development Officer, on why AI-native discovery is now table stakes and what it will take for publishers to get there without losing trust.

Springer Publishing Company & Cashmere Announce Partnership to Bring Trusted Healthcare Education Content to AI Systems

How Agentic AI Actually Consumes Publisher Content: Four Tiers Most People Haven't Mapped Yet

The publishing industry is focused on what happens when AI cites your content. But citation is just one layer. We break down the four tiers of how agentic AI actually consumes publisher content, from catalog access to the final click, and why understanding the full chain matters for any licensing conversation.

Cashmere Partners with KGL to Bring Publisher-Grade Infrastructure to the AI Economy

Partnership integrates Cashmere’s premium data AI infrastructure with KGL’s publisher platform, enabling seamless commercialization, governance, and protection of premium content for AI.

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.