Michael Ellis is Newstex’s content syndication expert. He helps authoritative publishers to develop their brand within digital libraries that serve professional researchers around the world.
Content licensing in the age of trusted media: Newstex at FIPP World Media Congress 2026
How to choose content licensing for data teams
A practical guide to the four ways to source licensed content for your AI systems and how to tell which one actually fits your needs.
What the CMA's new Google rules mean for content licensing
The CMA's first-ever conduct requirement under the Digital Markets Act gives UK publishers meaningful control over how Google uses their content in generative AI but stops short of guaranteeing they'll be paid for it.
Can statutory licensing fix the AI content crisis?
Statutory licensing offers a coherent fix for uncompensated AI content use, but the real question is whether the political will exists to build it.
How publishers can use Gist Answers to deepen reader engagement on their own sites
Why human curation still matters in content licensing
On AI-generated content, transparency, and what automation cannot replace
Robots.txt won't save you: The case for licensed AI content
The scraper economy has historically treated publisher content as something to be strip mined but licensing offers a model that benefits both developers and publishers.
How copyright organizations help smaller publishers participate in AI content licensing
Making AI licensing work for publishers of all sizes
The CJL's new report on AI content licensing reveals a market already consolidating around a handful of major deals and what independent publishers must demand before the window to reshape it closes.
How content licensing solves AI's source quality crisis
A case of mistaken heraldic identity illustrates why AI systems that rely on scraped, unstructured web content routinely produce confident but inaccurate answers and why licensed publisher content is the path to trustworthy AI responses.
