Monday Memo: AI Can’t Fake Real
By Holland Cooke
Consultant
In Full Stack Human: The Mindset Upgrade You Need to Stay Human in a World Ruled by Technology (2026, Wiley Books) Dara Simkin and Tane Hunter describe a 2026 media landscape where people face information overload, shrinking attention spans, negativity fatigue, algorithmic manipulation, and constant distraction.
The irony is that radio may win the future not by becoming more like technology, but by becoming more human. In an age of artificial everything, that’s the sustainable competitive advantage local radio has. And the more crowded the media landscape becomes, the more valuable radio’s unique strengths become.
Consider what today’s digital platforms do best. They personalize content as algorithms learn what users like and deliver more of it. Streaming services can build custom playlists. Social media feeds are tailored to individual interests. AI can generate content instantly.
What those platforms cannot do is belong to a community. Spotify doesn’t know why I-95 is jammed. TikTok doesn’t care that the town council just approved a controversial zoning change. An AI-generated playlist can’t tell listeners where to find shelter during a storm or why Friday night’s high school football game matters. Local radio can. And as media becomes increasingly global, local content becomes increasingly scarce. And scarcity creates value.
Citing research, the book points to another opportunity: Digital platforms are optimized to trigger emotion, especially outrage and conflict – the 1990s talk radio caricature on steroids. The result is a public that often feels overwhelmed, exhausted, and anxious.
Listeners want information, and are looking for context, usefulness, connection, and (dare we?) a reason to smile. Stations willing to do more than simply amplify the argument du jour become indispensable. Winners deliver local information, from trusted voices, a genuine connection that answers the listener’s constant question: “What’s in this for me?”
Click here to read a free sample chapter of “Full Stack Human: The Mindset Upgrade You Need to Stay Human in a World Ruled by Technology.”
Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn
Throughout the TALKERS 2026 conference, there was a recurring theme that bears repeating:
“We are competing in an attention economy,” and Magid COO Jaime Spencer reckons that “the playing field is massive.”
with the station across town anymore. It’s competing with 50,000 news brands, nearly half a million podcasts, and an infinite scroll of feeds that never sleep.
offers these tips: 1) Be exact: The more specific the language used, the more accurate the response; State a desired outcome like “grow awareness”, “increase sales”, or “expand my customer base”; 2) Use reputable sources within search queries to get accurate information; 3) Take careful note of sourcing and dates: Don’t take data at face value without checking it; 4) Understand that AI platforms are different: Results will vary depending on the platform; and 5) Expect responses will change: Lots of factors impact the AI answers so read them carefully. 
If you work in radio, you’ve heard every flavor of AI anxiety. Some fear it will wipe out jobs. Others treat it like a super shortcut – cranking-out spots, promos, and proposals faster and cheaper. Kate O’Neill’s 
AI is now embedded in the modern newsroom. Not as a headline, not as a novelty, but as infrastructure. It drafts outlines, summarizes complex reporting, surfaces background details, and accelerates prep for live conversations. For media creators operating under relentless deadlines, that efficiency is not theoretical. It is practical and daily.
Every radio conference agenda and much of what’s-up in the trade press and chat groups is about exploiting Artificial Intelligence. Often these conversations land in one of two places: fear (“Will this replace us?”) or fascination (“Look what it can do!”). Both miss the point.
The plague of pessimism about the future of radio is fueled internally by radio employees. Doomsayers are logically found in the sales department. All day, salespeople meet with buyers. A buyer’s job is to negotiate a lower price by arguing radio’s negatives. The wall of negativity thrives within the work environment of a seller. Tough. But there is little or no reason for pessimism.
For years, “protect your name and likeness” sounded like lawyer advice in search of a problem. Abstract. Defensive. Easy to ignore. That worked when misuse required effort, intent, and a human decision-maker willing to cross a line.
Evidence that your correspondent is a nerd: my airplane read for my CES back-N-forth was Successful AI Product Creation: A 9-Step Framework by Shub Agarwal (Wiley). If you haven’t got time for all 307 pages, here’s what I gleaned, pertinent to radio:
Circus Came to Town.” The Minneapolis-based former DJ, programmer and radio exec tells TALKERS, “In full disclosure, this song was created on suno.com using V5. The lyrics are all mine, and the orchestration is mine too by virtue of having given all of the instructions to create the track. Regardless of how all the controversy about artificial intelligence plays out, I am releasing this opinionated and highly emotional song purely as an expression of my free speech and artistic expression – not for commercial marketing purposes.”
Andy Economos, the founder of Radio Computing Systems (RCS), was a leader in bringing digital tech into the radio industry. In 1980, he was leaving his position as head of technology for NBC Inc. to start his own company. I was EVP of the NBC FM stations. Andy and I were walking to lunch, crossing Sixth Avenue at 49th street and he asked me, “Is there any software your radio stations could use?”
Superman just flew into court – not against Lex Luthor, but against Midjourney. Warner Bros. Discovery is suing the AI platform, accusing it of stealing the studio’s crown jewels: Superman, Batman, Wonder Woman, Scooby-Doo, Bugs Bunny, and more.
Imagine an AI trained on millions of books – and a federal judge saying that’s fair use. That’s exactly what happened this summer in Bartz v. Anthropic, a case now shaping how creators, publishers, and tech giants fight over the limits of copyright.
Imagine SiriusXM acquires the complete Howard Stern archive – every show, interview, and on-air moment. Months later, it debuts “Howard Stern: The AI Sessions,” a series of new segments created with artificial intelligence trained on that archive. The programming is labeled AI-generated, yet the voice, timing, and style sound like Stern himself.
at how iHeartMedia handled the process of using AI to translate and voice-clone the original podcast hosts. iHeartPodcasts president Will Pearson is quoted saying the AI translations faced two main challenges: ensuring accuracy and preserving each show’s unique tone. iHeartMedia worked with the company Speechlab to clone the voices of the hosts use them to read the show’s transcript in multiple languages. Pearson also says about a quarter of his company’s downloads come from outside the U.S. 
When a blogger found “no biography, or further information about the woman who is supposedly presenting this show,” it forced Australian Radio Network to 
more recognition as a (legacy) medium that’s constantly innovating and evolving to enhance the consumer experience and the advertiser opportunity. At the heart of Audio lives great storytelling. From the beginning of humankind to today’s best advertising, storytelling is the single most effective tool for sharing information and knowledge – all while entertaining, educating and yes, selling. Storytelling is a constant, but the way stories are told is shifting, driven by new technologies and approaches that allow brands to create more emotional connection, deliver more personalized experiences and scale their campaigns for maximum impact. And no medium is better equipped to do this than audio.” 
In the opinion of TALKERS publisher Michael Harrison, we are entering an era in which it is possible – even likely – for robot voices generated by artificial intelligence to replace at least some human talk show hosts, especially in the wake of relentless corporate cost-cutting by radio’s largest companies. On the music radio side, the process of “voice tracking,” although initially controversial, has become a widely employed budget-tightening process. However, voice tracking still employs organic talent to generate the verbal content.
AI, on the other hand, bypasses the human element completely. In a guest appearance yesterday (8/22) on the Manny Munoz mid-morning show on WIOD, Miami, in which the subject of AI was being discussed, Harrison said, “AI is upping the bar. If talk show hosts don’t stay on their game and avoid relying too heavily on the talking points – if they are not creative thinkers and leaders – they can easily be replaced by computer operators.” Harrison continued, “It won’t be too long from now – actually, it is already possible – that two robots could be having a plausible conversation if both have been fed all the talking points.” Harrison explained, “Each robot will have instant access to all the existent talking points at the speed of light. Robots are already beating human experts at Jeopardy or chess. The only thing a robot can’t do – at least for now – is to be creative outside the realm of what already exists in cyberspace. That’s the challenge facing anyone who wants to be a live traditional radio talk show host in this coming brave new world.” Harrison’s appearance on WIOD was part of his ongoing talk radio “Obsolete Slobs” tour in which he’s been promoting the Gunhill Road music video “Artificial Intelligence (No Robots Were Injured in the Production of this Song” (www.
advertising, where consumers express greater comfort with audio ads crafted by humans compared to those produced by AI. This trust in human voices isn’t just a preference; it’s a critical factor in advertising and content consumption.” Further, the data shows that radio hosts are valued 2.5 times more than social media influencers for delivering news (56% vs. 22%) and twice as much for sports commentary (40% vs. 21%). Similarly, podcast hosts are preferred over social media figures when discussing social issues (43% vs. 34%). Audacy concludes, “These statistics underscore the profound impact of human voices in fostering meaningful connections and reliable information dissemination.”
Actor Hugh Grant’s Tweet called it “The destruction of the human experience. Courtesy of Silicon Valley.” He was reacting to Apple’s 
I asked ChatGPT: “Vendors are now offering radio stations a service that delivers advertising commercial copy generated by AI. Because AI draws from what’s already been done, this risks sound-alike scripts. Is there a list of commercial clichés users should instruct AI to exclude?”
respondents are most likely to say they use it at least weekly. There’s a strong feeling the government will need to step in to provide legal guard rails for AI use. Three in four (75%) are looking for some form of regulation. In fact, more than a third (36%) believe AI will need to be highly regulated. That perception may be fueled by the upcoming elections this November. About half (51%) say they’re very concerned about how AI might affect this fall’s political races. Members of the Greatest Generation and Boomers are most fearful of how the technology might influence upcoming elections. When it comes to three applications for radio – AI hosts, AI-voiced commercials, and AI-voiced station IDs – the biggest pushback predictably is directed at the idea of radio using cloned voices to take the place of live talent. Three in four (75%) raise the red flag over this AI application. Concern lessens when it comes to AI voice technology being used to read commercials. Still, nearly four in ten (39%) say they have big issues with radio stations they listen to using AI in ads. Respondents are most open to the idea of AI voices being utilized on station identification. Overall, about one-third (34%) have no problem, but a similar sized group (30%) expresses major concerns with this use case for AI. Jacobs Media general manager Paul Jacobs remarks, “It is still early days for AI in radio, but broadcasters need to respect the many concerns voiced by core fans of the medium. Up to now, many decisions have been made in a vacuum. Now the audience has a voice. We’ll be tracking their perceptions in Techsurveys in the coming years as the technology matures. The format level data for AI should provide welcome feedback for radio managers trying to get a handle on AI.”