Podcast
For Immediate Release
Hosted by Neville Hobson and Shel Holtz · EN
Neville Hobson and Shel Holtz analyze the month’s news in digital and social media for communications professionals.
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FIR #522: Is Podcasting 2.0 The Future of Podcasting?
4d ago00:21:39Tap to summarizePodcasting 2.0 is the open-source movement launched by Adam Curry and Dave Jones to preserve and extend podcasting’s open, RSS-based ecosystem. In this episode, Shel and Neville explore the initiative’s core features — including the Podcast Index, enhanced RSS metadata, transcripts, chapters, podrolls, live notifications, and listener-supported “Value for Value” payments — while weighing its potential to reduce dependence on dominant platforms such as Spotify, Apple, Amazon, and YouTube. The discussion also addresses obstacles to adoption, including limited awareness, uneven support across hosting providers and apps, added complexity, and the need to demonstrate clear benefits to listeners. For communicators, the larger implications involve channel ownership, accessibility, content reuse, AI discoverability, resilience, and the risk of building audiences entirely on rented platforms. Links from this episode: Podcasting 2.0 — Making Podcasts Better for Everyone What Is Podcasting 2.0? And Why Should I Care? Podcasting 2.0 What Is Podcasting 2.0? What You Need to Know About Podcasting 2.0 The next monthly, long-form episode of FIR will drop on Monday, July 27. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript: Neville Hobson: Hi everyone, and welcome to For Immediate Release. This is episode 522. I’m Neville Hobson Shel Holtz: I’m Shel Holtz, and Neville, we’ve been doing this show for more than 21 years. When we started, there were maybe 400 podcasts. There was no Apple Podcasts to help people find and subscribe to shows, and every podcaster was what today they seem to be calling an indie podcaster. What’s not an indie podcaster? That would be Joe Rogan, for example, on Spotify collecting money. He’s not an indie, he’s mainstream media. So I try to follow the podcast industry. I subscribe to some newsletters. I read some people who talk about it. But somehow I only recently encountered Podcasting 2.0. This thing has been around since 2020. Despite the name, it’s not a new audio format. It’s not a new app or a replacement for RSS. It’s an open source movement launched by, guess who? Adam Curry, the podcasting pioneer, along with a developer named Dave Jones. God, there’s a lot of Dave Joneses out there. Its mission is to preserve, protect, and extend the open podcasting ecosystem. Now, that word open matters. Traditional podcasting works because creators like us publish an RSS feed that many different apps can read. Nobody has to upload a separate master copy to each player. But over time, discovery and listening have become concentrated in large corporate directories and platforms like Apple, increasingly Spotify, Amazon, and YouTube, but there are others. These companies set their own rules for their own services. Spotify’s rules explicitly say that it can remove content and suspend or terminate accounts. You can call that moderation, deplatforming, censorship. There’s no denying the underlying power these services have. Spotify can remove a podcast from its service. If the creator independently controls the RSS feed and hosting, Spotify can’t erase the podcast from the entire internet. The danger comes when creators and audiences become so dependent on one proprietary platform that removal there is effectively removal from public view. Podcasting 2.0 was designed to reduce that gatekeeper risk. Its answer isn’t that every app has to carry every show, it’s that no single app or company should be able to make a show disappear everywhere. Now, the initiative has several major pieces. The Podcast Index is an open directory that apps can use instead of depending on one company’s catalog. I checked, and FIR is listed, as are our other active shows on the FIR Podcast Network. The podcast namespace adds new backward-compatible tags to RSS feeds. Those tags can provide creator-controlled transcripts, richer chapters, information about hosts and guests, live stream notifications, alternate audio and video versions, licensing information, and a podroll of shows creators recommend. Remember blog rolls? This is podrolls. There’s also PodPing which alerts apps quickly when a feed changes, and there’s a really much-discussed thing called Value for Value. It’s a model that lets listeners support creators directly, often through tiny Bitcoin payments called sats, S-A-T-S, and attach messages known as boosts or boostagrams. And, yeah, I was listening to the Podcasting 2.0 show with Curry and Jones, and they were shouting out everybody who gave them a boost the Bitcoin element gets disproportionate attention, but it’s optional. Podcasting 2.0 is much broader than cryptocurrency. And by the way, there’s a vertical market application of Podcasting 2.0 called Godcaster. That’s a defined community of religious podcasters who have embraced Podcasting 2.0. The question is whether this model could work for, say, corporate ecosystems, universities, trade groups, nonprofits, and the like. And that explains why communicators should care or at least know about all this, because this really is a conversation about channel ownership, interoperability, accessibility, and resilience. Accurate transcripts improve access and make our content easier to search and reuse. Chapters and person tags make expertise more discoverable. Podrolls let organizations recommend trusted voices without surrendering discovery to Spotify or YouTube and their algorithms. And open distribution reduces the risk of building an audience on rented space. Now, there are caveats. Support remains uneven. I didn’t even learn about it until a couple weeks ago. Hosts like Libsyn, which hosts FIR, and podcasting apps implement different subsets of the standards. Open infrastructure doesn’t eliminate legal obligations. It doesn’t change hosting company policies. There are other choke points. And decentralization doesn’t automatically make the content accurate, ethical, or responsible. But the core idea is important, and that’s that podcasting began as an open medium, not a collection of corporate content silos. Podcasting 2.0 is an effort to modernize that open model without giving up what made podcasting distinctive in the first place. For communicators, the lesson extends well beyond audio. Distribute widely, but retain control of the source, the identity, and the relationship with the audience Neville Hobson: Yeah, it’s quite a story, Shel, I think. Like you, I hadn’t really heard of this other than the fact I did come across Podcasting 2.0 website when Adam Curry launched it back in, what was it, 2021, 20- 2020. But since then, no, haven’t heard anything about this at all really other than some kind of, aside comments here and there on on a couple of tech podcasts. And I’m thinking what you’ve outlined or makes complete sense to me. So why hasn’t this been thought about before even? I think it has in part. I’ve read people talking about this online, particularly on making content more easily consumable as they see it and there we’re talking about an idea that’s not new. Apple’s been offering this for a while, which is chapters, splitting up your content into chapters. But that’s only Apple. It doesn’t transport, and therein lies one of the issues with this, I think. How could you put it? There are some concerns I can see. I’ll come onto the pros in a minute. But I think is this not fragmentation of something that’s going to require quite a bit of a learning curve to figure out what to do with this? I’m also thinking that, is this going to open another standards race? Open standards only work if enough people adopt them, otherwise there is becoming another well-intentioned technical layer that only enthusiasts use. We’ve seen that. But, A broader, top-level question is, are we looking at the next stage in podcasting’s evolution, or are these features primarily serving podcast creators rather than podcast listeners? In other words, who’s getting the greatest benefit? That’s what I’m wondering. And I think it, it does… The fragmentation issue I think creates complexity. Features, bolting on new features more metadata doesn’t compensate for weak storytell...
Transcribe →AI, trust and the answer economy – Pete Blackshaw on the future of brand credibility
4d ago01:00:57Tap to summarizeYour brand is no longer defined solely by what you say about yourself. Increasingly, it is defined by the answers AI gives when someone asks about you. That simple but profound shift lies at the heart of The Answer Economy, the forthcoming book by Pete Blackshaw, entrepreneur, founder of BrandRank.ai, and former Global Head of Digital and Social Media at Nestlé. As AI assistants and agents become increasingly influential in how people discover information, evaluate products and make decisions, organisations face a new communications challenge. It’s no longer enough to tell your story well. Your organisation also needs to be accurately understood by the AI systems that increasingly act as intermediaries between brands and the people they serve. In this FIR Interview, Pete joins Neville Hobson and Shel Holtz to discuss why AI should be viewed less as another marketing channel and more as an auditor of organisational credibility. Together, they explore why trust, transparency and evidence are becoming more important than marketing claims, how different AI models develop different perspectives on brands, why communicators need to think beyond traditional search optimisation, and what organisations can do today to prepare for an increasingly agent-driven future. For communicators, the implications are profound. Success in the answer economy won’t depend on producing more content. It will depend on whether an organisation has earned the evidence, transparency and trust that AI systems increasingly use to evaluate every claim it makes. In this conversation, we discuss: Why Pete believes AI is becoming an auditor of organisational credibility rather than simply another information retrieval tool. What he means by the idea that “your brand is as strong as its answers.” Why evidence increasingly matters more than messaging in an AI-driven world. The concept of a “book of truth” and why organisations need to make trusted information easier for AI systems to understand. How and why ChatGPT, Claude, Gemini, Grok and other AI models can develop different perspectives on the same brand. Whether communicators need to understand AI “worldviews” as well as human audiences. Why corporate communications could become one of the most strategically important functions in the age of AI. How organisations should prepare for AI-generated reputation challenges and new governance responsibilities. What AI agents could mean for marketing, purchasing decisions and brand influence. Pete’s advice for communication professionals on becoming “answer ready.” About Pete Blackshaw Pete Blackshaw is founder and CEO of BrandRank.ai, an AI visibility and brand intelligence platform that helps organisations understand how AI answer engines evaluate brands. A two-time technology entrepreneur, Pete previously founded PlanetFeedback, one of the earliest consumer feedback platforms, which was acquired by Nielsen, where he later served as a senior executive. He also established Procter & Gamble’s first interactive marketing team before spending nine years as Global Head of Digital and Social Media at Nestlé, leading the company’s worldwide digital transformation initiatives. Throughout his career, Pete has focused on the intersection of consumer trust, digital communication and brand reputation. His forthcoming book, *The Answer Economy: How AI Agents Will Decide Your Brand’s Future*, published in September 2026, draws together more than two decades of experience helping organisations navigate the evolving relationship between consumers, brands and digital technology. Resources Pete Blackshaw on LinkedIn BrandRank.ai The book: The Answer Economy: How AI Agents Will Decide Your Brand’s Future Pete’s The Answer Economy newsletter Search previous FIR interviews with Pete Blackshaw (2005, 2007 and 2009) on the FIR archive site. Transcript A transcript of this conversation follows, lightly edited for clarity and length. Shel Holtz (00:04) Hi everybody and welcome to a For Immediate Release interview. I’m Shel Holtz. Neville Hobson (00:09) And I’m Neville Hobson. Shel Holtz (00:11) And we are thrilled to have Pete Blackshaw back with us. Pete, this is your fourth appearance, I believe, on FIR. And it’s been a while. I think is what? It was 2009, I think, was the last time. But it’s great to have you back. I’ve been following you ever since then. Certainly read your content on LinkedIn and subscribe to your newsletter. So very happy. Pete Blackshaw (00:21) It has been a while. Yeah. Shel Holtz (00:38) Anxious to have this conversation and the reason we reached out to bring you back on FIR interviews is because of some research that you have been doing for a couple of years that has resulted in quite a LinkedIn post and a new book coming out in September. tell us about all this and yourself. Pete Blackshaw (00:57) Yeah, sure. Well, I’m a native Californian who’s here in kind of adopted Cincinnati as my is my home. I have kind of had a mix of is my s you know, two time startup founder, first one I sold to Nielsen, which was in that space that you and I were talking about, you know, viral complaints and early social media. And and I’ve always been, you know, if there’s any through line across my career, I’d say it’s The consumer meets trust meets digital. And both of the books that I’ve written kind of cover that. But in addition to being a startup founder, I’ve also worked in a large lot of the large, you know, multinational corporations, you know, many of whom I’m, you know, the types of companies I’m selling to. So I co founded P and G’s first interactive marketing team. Remember when we called it that back then? I was a senior executive at Nielsen after I we sold my first startup to them. And then most significantly I spent nine years at in Switzerland as the global head of digital for Nestle. And ironically that kind of came in the wake of a a bit of a crisis that we all remember, you know, with Greenpeace, where they kind of recruited me in to kind of help to address all of that. And then I did a five year stint Neville Hobson (02:18) Ha ha. Pete Blackshaw (02:22) after Switzerland was recruited by P and G and Kroger and some of the Cincinnati companies to launch a startup accelerator and did a little bit of work in venture capital. But I’ve loved being back in the startup world and yeah, looking forward to the conversation. Neville Hobson (02:39) Terrific. So we should to kind of warm us up. I’ve got a question to start with that is a very, very simple one, actually, Pete. when I was looking into the the book that you’re publishing and looking at the content, what you’re covering and all that stuff, I saw I saw some huge kind of resonance with what we talk about in FIR. And there’s a lot of overlap, which I which I found really, really exciting because that that’ll fuel some of what we’re gonna talk about today, I think. But Pete Blackshaw (02:45) Yeah. Neville Hobson (03:0...
Transcribe →FIR #521: AI Layoffs Are Here. Wait. Strike That. Reverse It.
2w ago00:21:27Tap to summarizeEveryone from CEOs to politicians has been talking about the likelihood of AI-related job loss, and several companies have already let people go in anticipation that AI can do their work. Ford Motor Company is the latest to rehire those workers when AI proved inadequate for the job. Elsewhere, many of the managers who have let people go regret their decisions, and some companies are revising their hiring plans. To remedy the chaos, Neville and Shel discuss the importance of strategy and knowledge management systems, among other things. Links from this episode: ‘Talent refresh’ | Ford rehires human staff after AI quality-check tools fail to deliver Ford rehires human engineers after AI fails to match quality checks Return of the ‘greybeards’: AI backfired – so Ford had to rehire humans Ford Has Been Rehiring Quality Inspectors After AI Fell Short Ford rehires ‘greybeards’ after AI tech fails to deliver The next monthly, long-form episode of FIR will drop on Monday, July 27. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript: Shel Holtz Hi everybody, and welcome to episode number 521 of For Immediate Release. I’m Shel Holtz Neville Hobson And I’m Neville Hobson. Here’s a story that should make every one of us pause before we get too comfortable handing things over to AI. Ford, the automaker, has just rehired somewhere between three hundred and three hundred and fifty veteran engineers. Note the word rehired. The company had let them go in recent years as it leaned into AI-driven quality checks. Ford calls them greybeard engineers. That’s not a throwaway nickname. It’s the whole point of the story. These are the people with decades of experience across multiple product cycles, and Ford let a lot of them go only to discover it needed them back because the AI wasn’t working the way Ford expected. We’ll look into what happened right after this Charles Poon, Ford’s vice president of vehicle hardware engineering, put it plainly on a call with reporters. Here’s what he said: “Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product.” Think about that for a moment. Ford didn’t skip a step. They fed the AI everything that was written down, every design requirement, every documented specification. It still wasn’t enough. And it wasn’t just one system. Ford had installed around nine hundred AI-assisted cameras on the production line specifically to catch quality issues. Nine hundred cameras, and still they couldn’t replace the trained eye of an experienced technician who knows what a problem looks like before it becomes a visible defect. Ford’s chief operating officer, Kumar Galhotra, added more context. He said the company had been leaning more and more on automated quality systems, and the results were disappointing. Teams across software, hardware, manufacturing, and supply chain had also been working in isolation from each other, which meant defects were being caught late and fixed under pressure rather than prevented early. Galhotra described this as a find and fix mentality that Ford is now trying to move away from towards genuinely preventing problems before they start. The returning engineers sit right at the center of that shift. They now run mandatory weekly quality and design reviews, hunting for failure points before a single part reaches the factory floor And here’s the part I think matters most for us. A lot of the people who held that hard-won judgment had already walked out the door to suppliers, to retirement before anyone at Ford thought to capture what was in their heads. Poon admitted as much. “Over prior years, we didn’t pay as much attention as we should have to the experience of our most knowledgeable engineers who have been with us through many product cycles,” he said. So Ford had to buy that expertise back three years into this process at real cost. Was it worth it? By Ford’s own numbers, yes. The company has just topped the J.D. Power Initial Quality Survey for mainstream brands for the first time since twenty-ten. That’s sixteen years. CEO Jim Farley says the rehired engineers are already contributing what he called literally hundreds and hundreds of millions of dollars in savings, largely through reduced warranty and recall costs. Ford’s even projecting around a billion dollars in cost reduction this year on the back of this quality push. Now, here’s a tension worth sitting with. This is the same Jim Farley who said publicly on other occasions that AI is gonna replace rough-roughly half of all white-collar jobs. And yet here’s his own vice president standing in front of journalists explaining that Ford’s entire quality turnaround depended on bringing back the very human expertise the company thought it could do without. To be clear, this isn’t really a story about AI failing and humans winning. Ford isn’t walking away from AI. Those returning engineers aren’t just doing inspections. They’re training junior staff, and they’re reprogramming the AI tools themselves, feeding them the judgment that design requirements alone couldn’t capture. It’s a hybrid fix, not a retreat. But for anyone in our line of work, comms, knowledge management, anyone thinking about where AI fits into institutional expertise, there’s a sharp lesson underneath all of this. Documentation isn’t the same as judgment, and once the people carrying that judgment are gone, you don’t get it back for free or quickly or easily. I think there’s a bigger question here, too, about how organizations are handling this handover between human expertise and automation, and whether Ford’s experience is a one-off or a warning sign for a lot more companies than just car manufacturers. Shel Shel Holtz Yeah, I think it is a warning sign. But I, I don’t think it’s a trend necessarily, the idea that AI AI layoffs are being reversed everywhere. Yeah I’d just be careful about overstating that. There’s really only a handful of well-documented company examples of this. I think it’s easier to say that the way many organizations overestimated how quickly AI could substitute for the experienced judgment of their staff, I think that’s a reasonable way to look at it. Increasing number are recalibrating toward AI human collaboration rather than there are examples though. IBM has reversed course. They didn’t rehire the same people, but they’ve really reversed course on this whole replacement idea. An AI system deployed to take over HR work handled about 94% of incoming requests, but the 6% it couldn’t resolve including situations in- involving ethical judgment, really revealed the limits of all of this into the hands of a large language model. And then the company announced that it planned to triple its US entry-level hiring this year. That’s a pretty significant reversal. Klarna’s the one that … that’s the poster child for all of this. They were one of the first to announce that they were going to replace their customer service with AI. A year later their CEO publicly reversed course, admitting that customer experience had gone down the tank, quality had fallen the company had over-prioritized cost savings which most companies seem to be doing. They’re looking at cost savings and not other ways AI could really improve things or even help the organization grow and that human customer service remained essential. So they went back to hiring customer service representatives, and they expanded their human support. They la- even reassigned engineers and marketers into customer support roles while they were busy rebuilding the support organization that they had decimated. CEO, I think it was he who was quoted saying, “Cost, unfortunately, seems to have been too predominant evaluation factor.” that said I think it is worth noting that according to one research organization, I hadn’t heard of them before, but OrgView, 39% of busin...
Transcribe →FIR #520: AI’s PR Meltdown
3w ago01:36:24Tap to summarizeIn the long-form FIR episode for June, Neville and Shel consider the causes and implications of surging anti-AI sentiment in the US (which is also growing in other developed countries), as well as the increasing use of “shadow AI” in organizations. Other reports include studies documenting the continued erosion of trust in mainstream news media, the growth of personal branding among communication professionals, a shocking self-inflicted reputation crisis for a UK business, and evidence that employees aren’t reading your internal communications (unless maybe they are). Dan York shares information on Collections in the Mastodon 4.6 release and the W Social situation in his Tech Report. Links from this episode: ‘Shadow AI becomes a massive enterprise liability’: New study claims most of us are now using unauthorized AI tools at work FIR #510: Should Companies Embrace Shadow AI? FIR #419: Is Shadow AI an Evil Lurking in the Heart of Your Company? The Rise of Shadow AI is a Double-Edged Sword for Corporate Innovation Americans Have Turned Against AI in Incredible Numbers AI’s Public Relations Emergency AI Data Centers and the Public Relations Challenge for Business Owners Wowcher apologises after email appears to reference crocodile attack on toddler Digital News Report 2026 From Invisible To Influential: The Personal Branding Shift In Corporate Communications Wowcher apologises for email referencing toddler crocodile attack Wowcher ‘extremely sorry’ for crocodile attack email Wowcher apologises over email that referenced crocodile attack on boy LinkedIn post (Queen of CRM): “I’ve had 16 messages about this email…” LinkedIn post (Flo Powell): Wowcher ‘extremely sorry’ for crocodile attack email The Attention Recession: Why Your Employees Aren’t Reading What You Send State of Workplace Communication 2026: Why 44% of Employees Tune Out Links from Dan York’s Report Designing Collections Mastodon 4.6 The Untold Story About W Social: Unconventional Beginnings, Strategic Pitches and Conflicting Signals W Social, Public Institutions and the Theater of European Digital Sovereignty W Social, Fictional Metrics and the Beauty of Open Data The next monthly, long-form episode of FIR will drop on Monday, July 27. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript: Shel Holtz: Hi everybody, and welcome to episode number 520 of For Immediate Release. I’m Shel Holtz in Concord, California. Neville Hobson: And I’m Neville Hobson in Somerset in the UK. Shel Holtz: And it’s good to be back with you for our long-form episode. We really enjoy doing our short midweek episodes, but these are an opportunity to dig into some meaty topics. And we have six for you this week. Obviously, we’re going to be talking about some artificial intelligence, but not exclusively. So we have some other communication-focused topics to share with you, and some comments from listeners from the last month’s worth of episodes. And to get to those, Neville, how about a recap of what we’ve talked about in the last month? Neville Hobson: In the long-form episode 515 for May, on the 25th of May, we led with the rise of AI agents, the harms they could cause, what companies should do to ensure these agents deliver benefits, and how communicators can take a leading role in addressing the issue. We also talked about AI copyright lawsuits, Google’s search overhaul, what’s becoming standard media relations practice on podcasts, the question of whether the time is coming for value to be at the forefront of client billing, and the rise of short-form video clippers. A lot of content in that bumper issue. Hefty but good, as we like to say. And then The Economist is building two versions of its web presence: one for human readers, one structured for AI agents. In FIR 516 on the first of June, we discussed what this means for communicators and raised an important counterpoint. Websites aren’t going away. We said the answer is to do both, not abandon one for the other. And we have at least one comment on this one, don’t we, Shel? Shel Holtz: We have several comments on this one, starting with Sylvia Cambié, who says: “A really interesting episode. Your point about the need to be deliberate when we write copy for websites and think about what an agent would extract is fascinating. Here’s a task that communicators can do well. Great to see new tasks like this emerging for comms. It is funny to hear that AI likes Q&As. When I was a journalist, this was considered a real no-no, a sign of lazy journalism. How times change.” By the way, The Economist has published a great article by Harvard Kennedy School fellow Shui Fang about the world entering the age of machine audiences and agents. And Neville, you replied that her point about Q&As is spot on, and you hadn’t thought about it from a journalism angle before. It’s a good example of how context changes everything. What signals laziness in one setting becomes good or best practice in another. And yes, communicators are well placed to take this on. Structuring content with clarity and precision is what good communicators do. The agent readability requirement just makes the skill more explicit and more consequential. Then we have a comment from Sally Getch, rhymes with “sketch.” She says: “I started this comment on the website, but realized I needed to revise it. My first thought is, WTF is wrong with The Economist’s regular website that it’s unintelligible to AI agents? In my experience, AI does a pretty good job of reading and understanding websites, and it seems to be able to find and do things that the search engines we have all spent decades trying to appeal to could not, like transcribing PDFs and audio files. We use them for those purposes ourselves. Likewise, images with good alt text improve the understanding of both bots and humans. It felt like a flashback to the days of ‘we need to make a separate mobile website.’ I don’t think you need a separate site, but you might need a better one. I asked Stefan about this” — that’s her husband and a software developer — “and he said that the ...
Transcribe →FIR #519: Is Misinformation Biased Against You?
4w ago00:17:56Tap to summarizeWe have known about media bias effect for decades: the belief that the media is biased against your side of a debate. New research finds that the same belief applies to misinformation. While the research was focused on political issues, the underlying cause applies equally to misinformation about brands, companies, and business issues. In this short midweek episode, Neville and Shel find that the PR industry has not yet acknowledged the phenomenon, which requires strategies to address it. Links from this episode: Think the Media’s Biased Against You? You Probably Think Misinformation Is, Too The Hostile Media Effect The Influence of Hostile Media Perceptions on Misinformation Beliefs and Sharing Hostile Media Effects on Twitter, Social Identity, and Media Bias Perceptions Fake News Has Real Effects on Consumer Demand The Impact of Fake News on Consumer Behavior and Market Outcomes Political Identity, Media Trust, and Susceptibility to Misinformation The next monthly, long-form episode of FIR will drop on Monday, June 29. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Neville Hobson:Hi everyone, and welcome to For Immediate Release. This is episode 519. I’m Neville Hobson. Shel Holtz:And I’m Shel Holtz. When you think about all the misinformation out there—fake news, bad-faith spin—do you think it’s mostly aimed at your side of an argument or the other side? Most of us, if we’re honest, feel like it’s aimed at us. And there’s now research saying that feeling is nearly universal. Even though the research was based on political discourse, it has a direct connection to organizational communication. We’ll explain right after this. All right, let’s start by backing up for a second. There’s a concept called the hostile media effect. It’s been around since the 1980s. The original study showed pro-Israeli and pro-Arab students the exact same news coverage of the exact same event. Both groups walked away convinced it was biased against their side. Everyone saw exactly the same footage, but they reached opposite conclusions. And the more committed you were, the more certain you were that the media was out to get you. That finding has held up for 40 years, and it’s a big reason trust in news has collapsed as politics has gotten more tribal. Now let’s add the new wrinkle. A team at the University of Amsterdam asked whether that same instinct applies to misinformation—to fake news. They surveyed 4,000 people across Germany, the Netherlands, and Poland around the 2024 European elections. Nearly half said their preferred party was particularly targeted by misinformation. Ask about the party they liked least, and that number got cut in half. They’re calling it the hostile misinformation effect, and it got stronger the more politically engaged people were. The more plugged in people felt, the more victimized they felt. Now, Neville, you might think that’s a political science finding. But the mechanism underneath isn’t about politics; it’s about identity and motivated reasoning. Every brand, every company, every department is an identity group. Your most loyal customers are partisans. Your most engaged employees are partisans. The research says the people most attached to your organization are exactly the ones primed to believe any criticism out there is unfairly targeting them. Now think about a crisis. Your defenders don’t need convincing that your critics are unfair. They already assume it. The minds still open are the uncommitted people in the middle. Among neutrals, knowing more made them see less bias. It’s only partisans who dig in. So if someone criticizes a brand that some people love, the brand’s biggest fans may see that as an attack rather than just an honest review—and respond in kind. There was no crisis, but now maybe there is. There’s an internal angle here, too. Picture a layoff memo or a return-to-office announcement. Leadership reads it as fair. But every faction inside the company—by department, by level, by tenure—is wired to read the same message as unfair to them. “We said it neutrally” is no defense because neutrality is in the eye of the beholder. This notion reveals a trap for communicators. When bad coverage hits, it’s tempting to wave it away as misinformation. But “fake news” self-destructed as a term the moment it got weaponized to mean “any story I don’t like.” Cry misinformation every time you’re criticized, and you train your audience to tune out the label. You also look evasive to the exact neutrals you need to reach. So this is where I want to bring you in, Neville. We’ve spent years on this show talking about declining trust and the misinformation environment. This research says the problem isn’t just that there’s more bad information out there; it’s that people are wired to feel personally besieged by it. And I’m not sure our profession has reckoned with what that means. Neville Hobson:Yeah, it doesn’t sound like it, Shel. I don’t think so. It’s actually quite fascinating looking at the Nieman Lab article you shared with me in our Slack channel and seeing the depth of the research on a topic that I had no idea was even a thing to look into. I found it interesting in a number of areas. For instance, the study you quoted from the 2024 European Parliament elections got me thinking. The tendency to see misinformation as directed at you seems more pronounced the farther right politically someone is. That caught my attention because isn’t that precisely what we’re seeing in the United States with the Trump MAGA movement? Here in the UK, we’ve got Reform and an even newer party that’s emerged further to the right. Those groups often function as an echo chamber for the kinds of messages Trump promotes. They’re constantly criticizing anything anyone else says as an attack and talking about issues in ways that rile people up and stimulate hostile reactions in return. We see a lot of that in this country right now. It’s interesting that this study has been done, and I think the way you’re connecting it to organizational communication is a good call. It certainly gives us a lot to think about. One question it prompted in my mind concerns the point about engagement and partisanship. If the more engaged and partisan someone is, the stronger this effect becomes, does that mean an organization’s most loyal stakeholders are actually its most vulnerable to this kind of perception? <p data-start=...
Transcribe →FIR #518: Is the PR Industry Blowing It Again?
Jun 1500:23:21Tap to summarizeThe history of public relations over the last 30 years is a litany of one failure after another — failures to recognize and embrace technologies that represented seismic shifts in how people and organizations communicate. The internet. The web. Social media. Smartphones. The video shift. And now, with AI, the industry seems poised to do it again. As many organizations explore how AI will reshape them, PR agencies still seem unable to figure out billing models to replace the now-useless hourly rate. In this short midweek episode, Neville looks at a post from Stephen Waddington that laments the industry’s intransigence, and Shel and Neville discuss what PR should be doing. Links from this episode: The future of jobs in PR: will we get the third technology shift wrong too? (by Stephen Waddington) It looks like PR has its head in the sand about AI (by Neville Hobson) Senior practitioner neglect of digital/social skills a huge threat to PR’s future (2015 post by Shel Holtz) Once Again, This Time with AI, the Communications Profession Will Be Late to Embrace a Valuable Technology (2023 post by Shel Holtz) The next monthly, long-form episode of FIR will drop on Monday, June 22. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Shel Holtz: Hi everybody and welcome to episode number five hundred and eighteen of For Immediate Release. I’m Shel Holtz. Neville Hobson: And I’m Neville Hobson. So here’s a question I want to put to you right at the start, and I’d like you to sit with it as Shel and I work through this topic today. Public relations as a profession has faced two seismic technology shifts in the last 30 years. In fact, more than two, but I’m just going to mention these two. The internet arrived in 1995. Social media arrived around 2007. And in both cases, PR largely got it wrong. Not wrong in the sense of ignoring the technology. Wrong in the sense of fundamentally misreading what it meant. In 1995, we thought the internet was a publishing problem. In 2007, we thought social media was just another broadcast channel. And the disciplines that grew out of both—search, content marketing, influencer marketing—were largely built by people who weren’t us, people outside the profession who saw what we missed. So the question is: are we about to do it a third time? We’ll address that question in just a minute. That’s the challenge Stephen Waddington lays down in a piece he’s just written for Influence, the member magazine of the CIPR, the Chartered Institute of Public Relations. Stephen is someone whose thinking I respect considerably. He’s been one of the sharper and more honest voices in UK PR for years. And this article comes off the back of a book he’s just co-edited, AI and Public Relations: A How-To Guide for Implementation and Management, published in May. And what he’s arguing in this piece is that this is no longer a theoretical debate, as job reductions are happening now. He gives specific examples. Three account executives doing media monitoring—that’s now one tool. A two-person intranet team—that’s now a fraction of the effort. The UK government has listed public relations professionals among the twenty occupations most exposed to large language models. We’re on the list. Early career employment in those sectors is also in relative decline. Now, Waddington is not a pure pessimist. He sees a plausible optimistic path. The career pyramid becomes a diamond. Firms building roles around insight and risk management rather than billable hours. A rough near-term reduction of perhaps fifteen to twenty percent in entry-level positions, followed by net growth as scope expands and new roles emerge, the way digital did after 2000. He thinks in-house teams especially have an opportunity here. When AI absorbs the routine, it frees space for the work that corporate communication teams have always needed but rarely had capacity for. But he gives serious, genuine weight to the pessimistic case too. And this is where I think the article gets interesting. He references Martin Ford, author of The Rise of the Robots in 2015, and Ford’s argument that previous technology waves hit one tier of the workforce and the tier above absorbed the displaced. This time Ford says there’s no tier above. The advisory work that absorbed previous shifts is itself the target. Waddington doesn’t fully accept that in his article, but he doesn’t dismiss it either. And then there’s the argument that I think should be keeping every agency head and comms director awake at night—the pipeline. He’s hearing a common response from firms right now: freeze your apprenticeship schemes, freeze your graduate intake, let AI cover the production work. And he calls that, bluntly, organizational self-harm. Because in five years, those organizations will have nobody who understands how the systems actually work, why they fail, and crucially when to override them. You cannot run an advisory profession without a pipeline. And you cannot build a pipeline if you spent five years dismantling the entry points. So that’s where I think we should start today’s conversation. Not with the technology, with the choices. Because Waddington’s closing argument, and it’s what I find compelling, is that human agency still exists here. The technology isn’t making decisions. We are. The question is whether we’re making them wisely, or whether for the third time in thirty years, we’re about to hand the future of our profession to people who aren’t us. Shel, what’s your instinct on this? Shel Holtz: Very much what yours and Stephen’s is. I have been saying for decades that the public relations industry is always, always, always late to the game when there is a new technology that is going to shape the way communicators do their jobs. We were late to the internet, for sure. We were late to the World Wide Web. My first book on communicating online—well, actually, my first book was on intranets, but the first one that got any attention was Public Relations on the Net—came out before the World Wide Web, before there was a graphical user interface. So there were plenty of opportunities for PR before the web, based on the capabilities of the internet. Then we missed the web, then we missed social media. In between we missed some other seismic shifts—mobile, being able to communicate with people based on the fact that they now had this computer in their pocket. We missed the pivot to visual communication, we missed the pivot to video communication. And now, yeah, we are poised to miss the pivot to AI. And that’s not to suggest that PR people aren’t using it. I think they are, but I think they’re using it at a very superficial level and are succumbing to a lot of the hype out there about things like job loss and “get rid of your entry-level people.” That’s all mundane drudge work that the partners and senior people don’t want to do—the account execs—so hand that all off to the AI and you don’t need to pay those people anymore. And you’re exactly right. I was listening to a podcast over the weekend where they were talking about the same issue, but they were talking about it in the context of law firms. And they were making the point that the associates that are brought in out of law school do the drudge work that the partners don’t want to do. They write contracts, right? They do things like that. And now that the AI can do that, who needs them? Well, the question becomes: where do the future partners come from when the ones who are already at the partner level retire? There’ll be nobody to take those jobs. We a...
Transcribe →FIR #517: How to Communicate AI Whiplash to Employees
Jun 900:25:37Tap to summarizeFirst, they were told to use AI. Experiment! Add it to your workflows! Go wild! Then the bills started piling up, and companies realized the cost was not tenable. Now the walk-backs are happening. Usage caps! Caution! Slow down! Among the issues communicators need to address is employees questioning leadership’s judgment. In this short midweek episode, Shel and Neville explore approaches communicators can take to help employees understand the pivot while maintaining the perception of leader competence. Links from this episode: AI can cost more than human workers now Microsoft reports are exposing AI’s real cost problem: Using the tech is more expensive than paying human employees When AI Costs More Than the Worker It Replaced AI isn’t paying off in the way companies think. Layoffs driven by automation are failing to generate returns, study finds AI layoffs may be backfiring on companies Uber, Microsoft, and Others Burning Through AI Budgets. Now What? Uber burned through its entire 2026 AI budget in four months. Now its COO is questioning whether it’s worth it Uber Burns Its 2026 AI Budget In Four Months On Claude Code Sam Altman says OpenAI’s top token spender uses 100 billion tokens a month — and they’re not even the world leader OpenAI CEO Sam Altman admits AI token costs are becoming ‘a huge issue’ — company seeks improved value as overspending becomes a meme Token Billing Exposes AI’s Missing ROI And Puts Billion-Dollar Bets At Risk AI savings misses should make executives uncomfortable AI saves workers a day a week, but they don’t know what to do with it The next monthly, long-form episode of FIR will drop on Monday, June 22. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Neville Hobson: Hi everyone and welcome to For Immediate Release. This is episode 517. I’m Neville Hobson. Shel Holtz: I’m Shel Holtz. In some companies right now, that AI that was supposed to replace expensive humans is costing more than the humans it replaced. The numbers are kind of breathtaking. Uber burned through its entire 2026 AI budget in four months. In fact, I just heard today that they’re introducing a monthly AI spending cap of $1,500 per employee. One unnamed company, a real one though, spent half a billion dollars on AI in a single month because nobody had bothered to set a spending limit. An NVIDIA executive flat out admitted that for his team, compute now costs more than the engineers using it. A lot of these companies didn’t just overspend, they made decisions on the strength of what they thought AI could do. And in plenty of cases, those decisions cost people their jobs. The pitch was that AI can do this work for a fraction of the cost. Then Bain and Company studied a thousand companies and finds that most aren’t getting those savings. Gartner found the layoffs delivered no better returns than not laying anyone off at all. In its study, Bain looked at the books and saw money leaking out of the top, companies spending the budget without the savings showing up. And Boston Consulting Group went and asked employees and found that the leak runs from the bottom too. Over 40% of regular AI users say they’re saving a full workday every week. But Boston Consulting Group’s point is that saved time doesn’t automatically become value. If nobody tells an employee where to redirect those reclaimed hours, that value just evaporates. So two consultancies looking at two completely different ends of the organization landed on the same diagnosis. This is a management failure. It’s not a technology failure. So put yourself in the shoes of employees who are still there. They watched colleagues walked out the door because they were told the machine could do it cheaper. And now they’re watching leadership start to walk it back. In most cases, walk it back really quietly. What does that do to employees who see their leaders’ judgment, their competence? Because that is where this becomes a communication story. It’s about trust, credibility, and what we as communicators are supposed to do when leaders make a big public painful bet that doesn’t pay off. We’ll share our thoughts about that right after this. Now there’s a lot we can talk about with this story, like communicating a suddenly altered governance model. But let’s start here. The bet companies made was about people, that AI could replace human labor at a fraction of the cost. When that turns out to be wrong, employees don’t just see a line item on a P&L. They see leaders who either didn’t understand the technology they bet the company on, or who used the AI story as cover for cuts they were going to make anyway, what we’ve come to call AI washing. Both of these readings are poison. The second one travels fastest. A communicator’s first job is to make sure that the accurate story is the one that gets out there. And to add a little context to that idea, Sam Altman, the CEO of OpenAI, just recently said that this cost discussion is new. It started early this year. Before that, nobody was talking about it. And that’s probably because before early this year, most employees were prompting AI chatbots, and that didn’t blow up budgets. What changed early this year? Agents. Now employees have agents running complex tasks in an endless loop, and that burns tokens like nobody’s business. I heard about one employee who burned through a billion tokens in a month. That means costs are exploding. It’s not something anybody really anticipated, and a lot of CEOs were caught unaware. You know, they paid for the subscription cost to say Anthropic, now they’re paying the subscription, but they’re also paying for tokens. So Neville, if you were leading a comms department in a company that laid off a bunch of people because AI could do their jobs, and now it’s either costing more for the AI to do those jobs, or the AI isn’t doing it as well as the people did, how do you communicate that without making leadership look like fools? Neville Hobson: Yeah, it’s a good question, isn’t it, Shel? I mean, you’ve painted a picture that’s pretty dire, it seems to me. And I like to think that this is a kind of outlier territory we’re in. This is not the mainstream. But I’m willing to be proven wrong. You know, I don’t recognize this in the UK, so it could not yet be a big deal over here. But I’m thinking you mentioned that the original AI narrative, if I can describe it that way, was sold to people as we’re replacing you with robots or we’re replacing you with tech. I wonder, is that the case everywhere? Because I would have thought it was, many would have sold it as additive. It’s AI plus you, not AI instead of you. And that’s a wholly different kind of message if that were the case. Either way, they’re walking it back. And I think there’s a handful of things the communication leader should do. And that person would also be the counselor and the advisor to the leadership of the organization. So I think one of the first things, if not the first thing, is that you mustn’t let the leadership hide behind eup...
Transcribe →FIR #516: Your New Shadow Website
Jun 200:22:13Tap to summarizeThe Economist has gone public with an experiment: it has created a shadow website featuring an AI-friendly version of its front-of-paywall content. The idea is to improve the odds of this content surfacing in AI answers and responses to AI queries. It’s based on a new standard, llms.txt, which has been described as the robot.txt of AI. What does this mean for communicators? Neville and Shel break it down in this short midweek episode. Links from this episode: The Economist tests AI-ready web pages The Economist prepares for a two‑track internet: one for humans and one for AI agents The Economist is testing content read by AI agents How The Economist is using AI to extend its global reach The next version of the web will be built for machines, not humans The next monthly, long-form episode of FIR will drop on Monday, June 22. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Shel Holtz: Hi, everybody, and welcome to For Immediate Release. This is episode number 516. I’m Shel Holtz. Neville Hobson: And I’m Neville Hobson. Something quiet is happening to the web, and The Economist is one of the first major publishers to talk openly about how it’s responding. A piece published by Digiday last week describes how The Economist is building what its VP of generative AI, Josh Munker, calls two versions of the web. One version is the one we’re all familiar with: richly designed pages, feature photography, navigation, everything optimized for a human reader browsing with intent. The other version is quite different: stripped back, structured around questions and answers, designed not for you, but for an AI agent acting on your behalf. Now, if that framing sounds familiar, it should. In episode 515 last week, we spent some time on what Google announced at its developer conference in May: that searching the web will increasingly be done by AI agents rather than by humans, and that people will focus on acting on the information those agents surface rather than clicking links themselves. I made the point then that the question for communicators was shifting from, “How do we get found?” to, “How do we become part of the information environment that AI systems draw from?” What The Economist is doing is a direct practical answer to exactly that question. And here’s what makes this particularly interesting. The Economist itself published a piece last December describing this shift in precise terms: a move from a pull internet, where people initiate actions, to a push model, where agents act unprompted, setting up meetings, flagging research, handling tasks, often without a human ever typing a query. They wrote about it then as an emerging phenomenon. Now, six months later, their own team is operationally responding to it. They’re not just observers of this trend; they’re participants in it. The logic behind their approach is straightforward. A growing share of people, particularly in B2B contexts, no longer start their discovery process with a search engine or a home page. They start with ChatGPT or Gemini or Claude. They ask a question, get a synthesized answer, and may never visit the original source at all. For a publisher like The Economist, that creates an obvious problem. If your content isn’t structured in a way that an AI agent can parse and surface clearly, you effectively become invisible. Not because your content is poor, but because the intermediary can’t read it properly. So The Economist is experimenting. Right now, the focus is on content that already sits outside the paywall: marketing copy, B2B sales material, the kinds of pages where you want a potential subscriber or corporate client to find you. They’re building parallel versions: the polished human-facing page alongside a clean, agent-readable equivalent. The aim is to show up accurately and usefully in AI-generated answers. Now, why does this matter to communicators beyond the publishing world? Because what The Economist is describing isn’t a publishing problem. It’s a communication problem. And it connects to something that one researcher quoted in The Economist’s December piece put plainly: Marketers and communicators may need to pitch not to people, but to agent attention. The audience increasingly will be algorithms, and the humans will act on what these algorithms surface. Think about your own organization’s public-facing content: press releases, executive bios, policy statements, corporate FAQs, product and service descriptions. All of that content is increasingly being read and summarized by AI agents before it ever reaches a human. If that content isn’t structured to be understood accurately by an agent, you lose control of how your organization is represented in AI-generated answers. And unlike a Google snippet, you may not even know it’s happening. Alessandro DeSantis, a media consultant quoted in the Digiday piece, puts it bluntly. He calls agent optimization a defensive baseline, not a competitive advantage, but the minimum requirement to remain visible at all. There’s a deeper question sitting underneath all of this, which we’ll get into: Who do you trust in the AI-intermediated world? What does it mean for the communicator’s job when the first reader of your content isn’t a person at all? Shel, you and I discussed the Google side of this in FIR 515. Here’s a publisher responding in real time. What’s your take? Shel Holtz: I have lots of takes on this. This is, I think, a big issue. The first thing I want to point out is that, as I read the commentary of people who are talking about this, there’s an expectation that in the not-too-distant future, the AI version is all that we’re going to need to publish because we’re going to be publishing for AI as people rely on AI to get their information. I find this a troubling idea. I think people are ignoring the fact that right now, 25 to 60 percent, depending on the nature of the site, of visits to a website are direct. They are not coming from a search engine. It’s somebody who already knows the URL. As I mentioned in a post I published to LinkedIn last week, nobody going to Amazon starts at Google and says “online retail site” and waits for the URL to come up. They just type Amazon.com. There are a lot of people who know the URLs. There are URLs published in magazine articles, in advertising, in TV commercials, for example. And then there is the dark web: I send you a link by email or in our Slack channel, and you click it. There’s no search involved at all, so there is no opportunity to see that AI overview. So I think we have to keep in mind that there are still a lot of people who are coming to our websites, not through Google or some other search mechanism, or starting with Claude or ChatGPT or Gemini or what have you. They’re coming directly to your website, either because they know the URL or it has been shared with them by somebody else. So I think we do need to keep that in mind. The other reason I think we need to maintain our own websites is because we own them, and we don’t own that intermediary. You publish that Markdown version of a web page and you provide the proper router to it. Was it called LLM text, I think? They’re calling this the robots.txt of the AI era. And it’s going to share with the person who’s making the query what it shares. It may not be exactly what is on your page. So now you’re down to using a third party. Neville Hobson: Something like that. Shel Holtz: So, yeah, it’s good to have at least as a statement of record what your original content was. I have some other thoughts about this, but I’ll let you react to that first. Neville Hobson: Yeah, no, I get it totally. Yet the trend seems to be quite clear. This is the way it’s moving. And I would say that, from what I’ve been reading, not just this, but The Economist is actually a probably good signal for what other media properties may or may not be doing or might want to do, depending ...
Transcribe →FIR #515: Agents Everywhere
May 2501:47:40Tap to summarizeEmployees at the Pentagon have spun up over 100,000 AI agents. In the private sector, we’re seeing reports of 10,000 or more agents being deployed by employees at a variety of companies. The problem is that most organizations lack governance to address agents, and the problems this explosion of agents operating on employees’ behalf can cause are innumerable. In the long-form FIR episode for May 2026, Neville and Shel delve into the rise of agents, the harms they could cause, what companies should do to ensure these agents deliver benefits rather than problems, and how communicators can take a leading role in addressing the issue. Also in this episode: AI copyright lawsuits are coming for communicators Google’s search overhaul could signal a post-citation era Placing your thought newsmakers, thought leaders, and subject matter experts on podcasts is becoming a standard media relations practice “I worked all weekend” is no longer an argument for the fees you charge Short-form video clippers are creating go-to content from long-form videos — including yours Dan York outlines the big enhancements in WordPress 7.0 Links from this episode Slopaganda, the New Rules of Narrative Warfare AI Copyright Lawsuits Pose Growing Risk for Communicators Practical Considerations for Managing IP Risk in AI-Generated Content Best Practices for Mitigating Copyright Risks in AI-Generated Content AI in Litigation Series: An Update on AI Copyright Cases in 2026 Powered by A.I., Google Changes Its Search Box for the First Time in 25 Years Google Search as You Know It Is Over Why Podcast Placements Are the New Press Coverage Including Podcasts in Your PR Strategy Podcast Guesting vs. Traditional PR: What Works in 2026 U.S. Newsroom Employment Has Fallen 26% Since 2008 U.S. Podcast Consumption Reaches Record High: The Infinite Dial 2025 You Can’t Beat AI. Steve Rubel on AI, Media Analytics, and the Future of PR AI and the End of Billable Hours The Clipping Economy: How Short-Form Video “Clippers” Are Overrunning the Internet How Short-Form Clips Took Over the Internet The Clipping Economy The Case for and Against Clipping Inside the “Clipping Farms” Driving Fintech’s Marketing Boom Companies Have a New AI Problem: Too Many Agents Businesses Will Have Over 150,000 AI Agents by 2028, Says Gartner AI Agents Introduce a New Class of IT Management Challenges Why Most Enterprise AI Agents Will Fail — And What Leaders Are Missing How Smart Governance Can Contain Agentic Sprawl Six Capabilities Enterprises Need to Scale Agentic AI in 2026 Pentagon Workers Vibe-Code 100,000 AI “Agents” to Use on Unclassified Networks Links from Dan Yorik’s Tech Report Turn Your Blog Posts Into Podcast Episodes Google Search as you know it is over Google Changes Its Search Box for the First Time in 25 Years WordPress 7.0 Field Guide AVFTCN 040 – Returning From A Hiatus, and Plans for 2026 The next monthly, long-form episode of FIR will drop on Monday, June 22. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Neville Hobson: Hi everyone and welcome to the For Immediate Release podcast long-form episode 515 for May 2026. I’m Neville Hobson. Shel Holtz: And I’m Shel Holtz, and we have six really interesting reports to share with you today. And not all of them are about AI. I’m not saying most of them aren’t, but a couple are on other topics of interest to communicators. Also have a really excellent report from Dan York looking at the latest upgrade to WordPress, a massive upgrade, one of the most significant upgrades WordPress has seen in some time, and Dan’s report is fascinating as he talks about this. But we are going to start by filling you in on a new podcast on the FIR Podcast Network. We haven’t had a new show on the network in a while. You know, we started this as just FIR and we needed a place to house multiple FIR shows. Those who have been listening a long time may remember FIR book reviews and FIR speakers and speeches. And we had a number of these. And then we had some people say, hey, can my podcast live on your network? And we said, as long as it has something to do with communications, sure. So all of them have pretty much faded except a couple that Chip Griffin continues to crank out, but now we have a new one. And the reason we have a new one is because I’m doing it as a new podcast by me and my longtime friend and colleague, Steve Crescenzo. And it is called On the Same Page. It is an internal communications focused podcast. We’re recording it twice a month, about 20, 25 minutes per episode. And each episode focuses on an element of the strategic internal communications framework that I developed. It was several years ago. It was actually before I took a job in the private sector again. I’ll have been at the company I work for now nine years in October. So yeah, I developed this a long time ago. Then I wrote 28 blog posts about it. Somebody said, turn it into a book. So I did. And I have found a publisher for that book. So the podcast and the book are companion pieces and the first episode of On the Same Page is out now. You can find it on the FIR ...
Transcribe →FIR #514: Was Twitter A One-And-Done Phenomenon?
May 1900:27:59Tap to summarizeThere’s a concept circulating in Platformer, the Reuters Institute, and Nieman Lab: the text-based social networks that defined the last 15 years of public communication may be in irreversible decline. Apptopia reports that Bluesky’s daily users are down 96% from January 2024; Threads has lost users in seven of the past eight months (down 61% from its October 2024 peak); and X has been “culturally altered.” At its peak, was Twitter less a replicable product category than a unique moment in media history? The mass audience has moved to short-form video, algorithmic feeds reward attention over the social graph, and platforms increasingly refuse to be referral engines. Text still thrives in newsletters, Reddit, Discord, WhatsApp, LinkedIn, and AI chat interfaces — what’s collapsing isn’t text, but giant algorithmic public feeds. Neville and Shel look at what this means for communicators: the promise of scale is giving way to relevance, trust, and consistency — a shift that requires a different approach to brand presence on social. Get details in this not-so-short midweek FIR episode. Links from this episode: Are the Twitter clones in trouble? Pew: Americans’ Social Media Use 2025 Pew: Social Media and News Fact Sheet Reuters: Mapping news creators and influencers in social and video networks The next monthly, long-form episode of FIR will drop on Monday, May 25. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Neville: Hi everybody, and welcome to For Immediate Release episode 514. I’m Neville Hobson. Shel: And I’m Shel Holtz. Communicators devote a fair amount of time to social media management. It’s no different where I work. We’re a smaller team in the construction industry, so we don’t have any dedicated social media resources. But whether it’s a company like mine, where it’s part of the job that somebody does, or a global brand like Wendy’s or Starbucks with a full-blown team, everyone’s trying to make an impact on social network users. The strategy behind those efforts may need an overhaul, though, to address the decline of text-based social networks. Platformer’s Casey Newton wrote about this recently, focusing on Threads, Bluesky, and X — but I think it’s fair to throw Facebook into the mix. Depending on whose numbers you believe, Threads has lost momentum, Bluesky never became the Twitter replacement that political journalists or media folks had hoped it would be, and X is, well, shall we say, culturally altered. Meta and Bluesky dispute some of this third-party data, so I don’t want to overstate the precision of the numbers, but we shouldn’t shrug off the larger point. This isn’t about whether Threads beats X or whether Bluesky can recover, but rather about whether that old Twitter model can be rebuilt at all. And increasingly, the answer looks like probably not. Twitter at its peak was a real-time public layer for news, commentary, expert reaction, and professional visibility. Journalists, politicians, academics, CEOs, and PR people were all there reacting to each other in public. That gave communicators something we had never really had before: a live dashboard of what influential people were saying, what stories were breaking, and how publics were interpreting events in real time. The problem is that this depended on a specific set of conditions — a text-first interface, a public follow graph, a tolerance for public argument, and a shared assumption that this was where you went to see what was going on. Even with a small subscriber base compared to Facebook and a lot of other networks, Twitter was where news broke, and it was frequently cited in the mainstream media’s reporting. Well, those conditions have changed. The mass audience has moved heavily toward video. TikTok, Instagram Reels, and YouTube Shorts are now the primary discovery platforms for younger users in particular. News and commentary arrive as video, personality, remix, and clip. In fact, I was talking about this recently with someone I work with who said she doesn’t watch Saturday Night Live — she watches 10 or 15 of the clips that Saturday Night Live shares on YouTube so she can catch the funniest bits. At the same time, the logic of the feed has changed. The old social feed was built around who you followed. The new algorithmic feed is built around what holds attention. A post on early Twitter spread because of the social graph. A video on TikTok spreads because the system thinks it’ll keep people watching. Now that changes the incentives. It rewards performance, emotion, personality, and visual fluency. It’s also why the link-in-the-post model is fading. Social platforms don’t want to be referral engines. They want the content consumed inside the platform. You can’t conflate social engagement and site traffic anymore. For brands, this requires a pretty significant rethink. Today, social is less about sending people somewhere else and more about creating native moments of value right there, inside the feed. The implication for communicators is that we can’t just ask, “What should we post?” We have to ask, “What role does each of these platforms play in our communication ecosystem?” Some platforms are for discovery, some for reputation, some are mostly listening posts — environmental scanning, sentiment tracking, intelligence gathering. Some platforms may not be worth the effort at all anymore. We also need more human voices. The logo account is not adequate anymore. Trust attaches to people — experts, leaders, practitioners, analysts. That doesn’t mean every executive needs to be dancing on TikTok. In fact, please, no. But organizations do have to get better at helping credible people communicate in platform-native ways. The decline of the old public square forces us to build more durable relationships. What matters? Newsletters, podcasts, owned communities. LinkedIn still matters for professional audiences. So I’d resist the lazy conclusion that text is dying. Text is everywhere — in newsletters (which, by the way, is where I latched onto this story, in Casey Newton’s Platformer), in captions, in scripts, in search results. What’s dying is something more specific: the idea that a text-first social network can serve as the default global town square. Twitter may have been less a replicable product category than a unique moment in media history. For communicators, the job is no longer to master the town square. The job is to understand the map after that square has gone to seed. Neville, is this what you’re saying? Neville: It’s a lot. There’s a lot going on here to kind of zero in on a handful of potential responses, I suppose. But one thing does seem to be quite clear from all that you’ve outlined, which I believe is the case: Twitter probably was historically unique. And I think the issue, or an issue, is that everyone doesn’t think like that. They think it’s repeatable, it’s replicable. And it’s not. I think you could also see AI maybe accelerating the decline. Content abundance — so much of it. Authenticity is getting really difficult to judge. And everywhere is noisy. And that’s not what many people want. So I guess, to crystallize it in a sense — you know, we’ve got all these elements you mentioned. The paradox of Bluesky: it hasn’t grown. Threads has got scale, but it doesn’t really have a big identity. It’s kind of part of Meta. What does it all mean for communicators? We’ll come back to that, I’m sure, in a bit. But I wonder — the thought that keeps recurring in my mind from everything I’ve read about this is that the decline may not be about text at all. That’s not to say it’s because they’ve all migrated to YouTube and video platforms. I don’t believe that’s the case either. I think, as you pointed out, and that’s obvious to all of us, the text itself isn’t disappearing. People talk about the decline of text-based social networks. But the audience hasn’t vanished. They’re just dispersed. They’re elsewhere. They’re not in a central place. There is no public square — no global publ...
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