Thomas Amter’s Post

The Guardian just updated its guidelines on the use of AI. It's doubling down on "lived experience" as the distinction between good journalism and AI-generated content. "However ‘intelligent’ AI may appear, it doesn’t experience the world as we do," the new guidelines state. "That lived experience is our unique contribution, and an authentic response is what our readers, supporters and staff expect and deserve." I think the guidelines (linked in comments below) are worth a look, particularly if you're a journalist in need of a boost. They serve as a pep talk that your value lies specifically in what AI cannot do: experiencing the world, conducting physical interviews, doing real, shoe-leather, on-the-ground reporting, and providing an authentic human response.

The Guardian's new approach to GenAI is certainly worth reading for storytellers and communicators beyond journalists as well. Especially those who work in humanitarian and development contexts where they speak to, engage with, or report on vulnerable, minoritised or otherwise marginalised communities and populations. Read here: https://lnkd.in/ex2xVZ4b

The new content failure mode: audiences value it, but AI models overlook it. Explore the “Utility Gap” and how it impacts the way AI platforms surface and prioritize high-quality content. #SearchEngineJournal #ParallelInteractive https://ow.ly/jF0J50Yk4TG

🤖 72% of people would be less likely to read an article written with AI. But here's the problem: most of them wouldn't be able to recognise one. A recent YouGov survey offers a revealing snapshot of how the public perceives AI-generated journalism. Key findings: 📊 Only 1 in 3 people (35%) feel confident they can identify AI-written content  📊 91% believe journalists should disclose when an article has been written without human editorial involvement  📊 Even with editorial oversight, 80% still want AI use to be declared One more figure worth noting: only 26% of people think they have ever read an article written, at least in part, by AI. More than half simply aren't sure. The paradox is clear: scepticism is high, but the ability to detect is low. For those working in media and communications, this opens up an important point: the question is no longer whether to use AI, but how to do so transparently and responsibly. Trust is built slowly and lost in a moment. In an ecosystem where content multiplies and sources blur, perhaps transparency is the one value no algorithm can replace. 🔗 Source: YouGov Surveys, March 2026 At Press Release Hub, we transform raw data into compelling narratives, turning research and analysis into stories that matter. Follow us for insights from the communications industry. #AIContent #ArtificialIntelligence #Transparency #PressReleaseHub

The new content failure mode: audiences value it, but AI models overlook it. Explore the “Utility Gap” and how it impacts the way AI platforms surface and prioritize high-quality content. #SearchEngineJournal #ParallelInteractive https://ow.ly/NOcS50Yk4TB

"Regular engagement with the traditional press remains one of the most effective ways to build a positive reputation." That was one of the conclusions highlighted in a recent article in Spear’s. For decades, this assumption largely held true. But the discovery layer is changing. Today, reputation is increasingly interpreted by AI systems that synthesise information across a wide range of sources, including interviews, regulatory filings, podcasts, public speeches, video transcripts and multilingual commentary. For ultra-high-net-worth advisers and principals, this shift matters. When someone researches an individual today, they are not simply reading a magazine feature. AI systems are analysing patterns across the broader informational ecosystem to assess authority, credibility and consistency. A reputation built primarily on occasional press placements may therefore appear thin when interpreted by models trained on global data. What increasingly matters is informational depth: a coherent public footprint that spans written analysis, recorded discussions, structured documentation and global digital visibility. Our latest article explores how AI-mediated discovery is reshaping reputation in the private client world. Read more: https://lnkd.in/gYW9_4vH #ReputationManagement #AI #PrivateClients 

PR in the age of AI#: "While automation enhances the value of media content, it simultaneously heightens the need for human expertise". Discover the insights of this new paradox. https://lnkd.in/eqUcwe3h #PublicRelations #Human #Algorithms Cognito

Balancing AI-Driven Media Monitoring and Analysis The future of media intelligence is not AI or human expertise. It is the right balance of both. At Infoesearch, our latest perspective explains why the strongest outcomes today are coming not from full automation, but from a more practical model where AI accelerates volume and speed, while human experts validate context, tone, and reputational meaning. It also highlights progress in our language-agnostic press clipping capability, opening new possibilities for multilingual media recognition across formats and scripts. As AI reshapes the industry, the goal is not just faster output. It is reliable, accountable, and higher-quality insight. Read the full blog: https://lnkd.in/gCDUfMCm #MediaIntelligence #MediaMonitoring #AI #HumanInCommand #MediaAnalysis #MultilingualAI #PressClipping #Infoesearch Suresh Reddy Aravind Rao Todd Murphy

My latest for ExchangeWire on how Aussie publishers are balancing AI fear and innovation. Thanks to Simon Larcey and Scott Purcell, CFA, for their thoughts on this. Publishers are some of the most innovative and resilient folks I know. We love to see this evolution alongside protection for the standards and ethics that matter.

AI is forcing publishers to rethink everything but not for the first time. In her latest column, Charlotte Mceleny explores how the industry is balancing innovation with quality, as players from News Corp to independents experiment with AI across operations, sales, and data while keeping journalism human-led. Read the full piece: https://lnkd.in/dM7zUeDQ #AI #Publishing #Media #AdTech #DigitalTransformation