AI in Publishing

A couple of years ago, the AI question for most publishers was whether to experiment. That has been settled. AI is now at work in newsrooms, archives, ad sales and production, and the harder conversation is about what it is doing to the business around it.

Search is the pressure point. Answer engines summarise journalism without sending the reader on, and referral traffic is falling as a result. Publishers are split between signing licensing deals and blocking crawlers, with more of them now looking to negotiate collectively. Before any contract is signed, it is worth knowing which of your content is genuinely hard to replace and exactly what rights are being sold.

AI might be able to knock out something quickly, but speed isn’t the same as value and fluency isn’t the same as truth.

Toby Wiseman AI in practice: Hearst UK

Inside the business the picture is brighter. Regional groups use AI-assisted reporting for routine local stories, which frees other reporters to get out of the office. B2B publishers have turned deep archives into search tools that answer readers' questions, and at least one has sold subscriptions off the back of it.

Whether the human checks survive cost pressure is the open question. So far, the industry's bet is that original, specialist journalism and a direct relationship with readers will hold their value however the technology moves.

Below you'll find some of our best feature articles on AI in publishing, from licensing strategy and search to newsroom case studies and editorial policy, alongside our latest news and industry commentary.