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The FIR Podcast Network Everything Feed

The FIR Podcast Network Everything Feed

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Episodes
  • ALP 306: What the Agency AI Survey results mean for PR and marketing firms
    May 25 2026

    The SAGA Agency AI Survey results are in, and small agency owners are feeling great about AI. Maybe too great. In this episode, Chip and Gini dig into the numbers and find the gap between how owners think they’re using AI and the reality of what’s happening inside their businesses.

    The headline figures look impressive: 89% of respondents report regular or widespread AI use, 74% use it daily, and 88% say they’ve seen productivity gains. But Chip isn’t buying it. He questions whether the sample skews toward early adopters, or more likely, whether agency owners simply don’t have a clear enough picture of what “good” AI use looks like elsewhere.

    When 53% say they’re ahead of their peers but only 13% say they’re behind, the math doesn’t work. As Gini puts it, they’re probably grading themselves on usage habits, not operational depth.

    Next, Chip and Gini look at what agencies are actually doing with AI. Most activity falls squarely into what Chip calls “generative AI 101” — drafting emails, writing social posts, generating blog content. The more interesting stuff is largely absent. AI-assisted design work barely registers.

    Only 74% are even using AI to revise or edit content, a number both hosts find inexplicable given how easy and useful that is. Gini’s own example of running an article through an AP style agent before sending it to a notoriously precise editor at PR Daily illustrates exactly the kind of practical, low-friction habit that should be universal by now.

    Another data point they discuss is the disconnect between productivity gains and revenue. Agencies report getting faster, but their top-line numbers are flat or down. Gini’s read is that AI efficiency is getting absorbed into existing scope rather than converted into new value.

    Agencies are over-servicing clients at the same fees, filling freed time with more of the same work instead of building something new.

    On the pricing side, almost no one reported clients pushing for discounts tied to AI use. Instead of a reduction in cost, the larger enterprise clients are asking about data governance, usage policies, and procurement compliance. Chip advises unless your agency has the infrastructure to manage those requirements consistently, that’s a market best left to someone else. [read the transcript]

    The post ALP 306: What the Agency AI Survey results mean for PR and marketing firms appeared first on FIR Podcast Network.

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    23 mins
  • FIR #515: Agents Everywhere
    May 25 2026
    Employees 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 communicatorsGoogle’s search overhaul could signal a post-citation eraPlacing 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 chargeShort-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 WarfareAI Copyright Lawsuits Pose Growing Risk for CommunicatorsPractical Considerations for Managing IP Risk in AI-Generated ContentBest Practices for Mitigating Copyright Risks in AI-Generated ContentAI in Litigation Series: An Update on AI Copyright Cases in 2026Powered by A.I., Google Changes Its Search Box for the First Time in 25 YearsGoogle Search as You Know It Is OverWhy Podcast Placements Are the New Press CoverageIncluding Podcasts in Your PR StrategyPodcast Guesting vs. Traditional PR: What Works in 2026U.S. Newsroom Employment Has Fallen 26% Since 2008U.S. Podcast Consumption Reaches Record High: The Infinite Dial 2025You Can’t Beat AI.Steve Rubel on AI, Media Analytics, and the Future of PRAI and the End of Billable HoursThe Clipping Economy: How Short-Form Video “Clippers” Are Overrunning the InternetHow Short-Form Clips Took Over the InternetThe Clipping EconomyThe Case for and Against ClippingInside the “Clipping Farms” Driving Fintech’s Marketing BoomCompanies Have a New AI Problem: Too Many AgentsBusinesses Will Have Over 150,000 AI Agents by 2028, Says GartnerAI Agents Introduce a New Class of IT Management ChallengesWhy Most Enterprise AI Agents Will Fail — And What Leaders Are MissingHow Smart Governance Can Contain Agentic SprawlSix Capabilities Enterprises Need to Scale Agentic AI in 2026Pentagon 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 EpisodesGoogle Search as you know it is overGoogle Changes Its Search Box for the First Time in 25 YearsWordPress 7.0 Field GuideAVFTCN 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....
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    1 hr and 48 mins
  • FIR #514: Was Twitter A One-And-Done Phenomenon?
    May 19 2026
    There’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 2025Pew: Social Media and News Fact SheetReuters: 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 ...
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    28 mins
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