Industry Views

NAB Show: Competing on the Omnimedia Landscape

By Holland Cooke
Consultant

img“We are competing in an attention economy,” and Magid COO Jaime Spencer reckons that “the playing field is massive.”

For decades, Magid has been known as a TV news research and consulting firm. But its newest Omnimedia work widens the lens – and radio should be paying close attention. Because the consumers Magid describes aren’t “viewers” or “listeners.” They’re attention grazers, moving across platforms, devices, and dayparts without ever thinking in “TV” or “radio” terms. And that shift changes our game.

Magid’s core point lands hard: We no longer operate in a content economy. We operate in an attention economy. Radio isn’t competingimg 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.

And here’s the kicker: the audience doesn’t distinguish platforms – only relevance. They follow whatever captures attention in the moment. If your brand can’t travel across social, smart speakers, mobile, and on air with a consistent voice and value, you could be invisible to the modern consumer.

Spencer also flags a new disruptor: AI as a news gateway. “17% of people now discover news first on AI platforms – higher than push alerts and newsletters. Considering that platform didn’t exist two years ago, that’s a big number.” That’s also a flashing red light for radio. If AI becomes the first stop for facts, radio must become the first stop for context, clarity, and humanity – the things AI can’t localize, empathize with, or improvise.

“Consumers are overwhelmed.” They’re juggling nearly six streaming services and still feel behind. That’s an opening. Radio’s superpower has always been curation – a trusted voice cutting through the noise. In an Omnimedia world, that skill becomes a premium product.

Finally, Magid’s emotional driver research reinforces what great programmers already know: passion beats function. Utility alone (i.e., “Breaking News”) won’t hold audience. Emotional gravity will. “Consumers are looking for comfort and affirmation.” Per Magid’s Trust Index research: Public media outlets like NPR perform strongly, while polarizing figures such as Glenn Beck, Rachel Maddow, and Sean Hannity also rank in the top quartile, skewed by affirmation of audience beliefs.

The bottom line? The Omnimedia consumer is already here. Radio wins by being the most human, most local, most emotionally resonant voice in a chaotic media diet – not by being “radio,” but by being essential wherever the audience happens to be.

See Jaime Spencer’s deck here.

If you missed yesterday’s NAB Show update, click here. And if you are here in ‘Vegas this week, look for me. Maybe we can grab a cuppa cawfee. If you aren’t here, look for my NAB Show update here tomorrow.

Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn

Industry News

WWO: Guidelines for Using AI to Build Your Media Plans

Today’s blog post from Cumulus Media | Westwood One’s Audio Active Group addresses the use of AI by local advertisers to inform their media plans. Cumulus president of operations Bob Walker says that use of AI is fine but there are “some watchouts and best practices to consider.” Heimg 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. See the full blog post here.

Industry Views

Monday Memo: “What Matters Next” for Radio?

By Holland Cooke
Consultant

imgIf 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 What Matters Next lands squarely in the middle of this tension, and its message is one radio people need to hear: AI isn’t the disruptor. Human behavior is. AI just accelerates the consequences.

The book’s central argument is blunt: The organizations that thrive in an AI-driven world are the ones that stay relentlessly human. Not sentimental – human. Curious. Adaptive. Willing to rethink habits that calcified long before the first smart speaker ever said, “Now playing.” That’s a mirror radio hasn’t always wanted to look into.

For decades, the industry has survived by optimizing the familiar: tighter clocks, leaner staffs, syndicated shows, templated production, and “good enough” digital. AI tempts some operators to double down on that instinct – to automate more, localize less, and hope listeners won’t notice. This book argues the opposite: AI punishes sameness and rewards originality. When every business has access to the same tools, the differentiator becomes the people who use them with imagination, empathy, and purpose. That should sound familiar. It’s what radio used to brag about.

O’Neill also warns against the other extreme, the fear-driven paralysis that keeps talented people from experimenting. AI isn’t a job eater; it’s a task eater. It clears the underbrush so humans can do the work only humans can do: judgment, storytelling, connection, and community presence. In radio terms: the stuff listeners actually remember.

Imagine a morning show that uses AI not to replace prep, but to deepen it, surfacing hyperlocal stories, analyzing listener sentiment, or generating alternate angles on a topic the hosts want to explore. Or a sales team that uses AI to tailor proposals to each client’s issues instead of reshuffling the same deck. How about a newsroom (remember them?) that uses AI to sift data so stations can spend more time delivering what’s special to listeners (and sponsors): helpful local news they can’t get anywhere else. None of that eliminates jobs. It elevates them.

This book’s most important warning is this: AI widens the gap between organizations that learn and organizations that cling. Radio has lived through this before – streaming, podcasting, social media, smart speakers. The winners weren’t the ones who panicked or the ones who ignored the shift. They were the ones who adapted early, experimented often, and stayed close to their audience.

Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn

Industry Views

Reckless Disregard in the Age of AI: What Verification Now Requires

By Matthew B. Harrison
TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgAI 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.

That reality raises a quiet but consequential legal question. When AI contributes to your research, what does verification now require?

Professional hosts are not reading raw chatbot answers on air and calling it journalism. That caricature misses the real issue. What is actually happening is subtler and far more common.

AI now sits inside research workflows. Producers use it for background. Hosts use it to summarize reporting. Teams use it to outline controversies or draft rundowns. Most of the time, it works. Sometimes, however, it invents.

When that invention involves a real person and a serious allegation, the legal analysis looks familiar.

For public figures, defamation requires proof of actual malice – knowledge of falsity or reckless disregard for truth. For private figures, negligence is usually enough. In both cases, the focus is not on the tool. It is on the content creator’s conduct.

AI does not change the elements. It changes the context in which reasonableness is judged.

Courts have long held that repeating a defamatory statement can create liability, even if someone else said it first. If you rely on a blog, and that blog relied on AI, and the allegation is false, the question becomes whether your reliance was reasonable.

Was the source reputable? Was the claim inherently improbable? Were there obvious red flags?  Was contradictory information readily available?

AI’s reputation for “hallucinating” facts now forms part of that backdrop. Widespread awareness that these systems can fabricate citations, merge identities, or invent accusations becomes relevant when a court evaluates your verification choices.

This does not mean using AI indicates reckless disregard. It means using AI does not excuse skipping verification when the stakes are high.

The more specific and damaging the claim, the greater the duty to confirm it through independent, reliable sources. Not another prompt. Not a circular reference to the same unverified blog. Rather, a primary record, official statement, or established reporting.

Documentation matters. If challenged, being able to show that you checked multiple sources before broadcast can be decisive.

None of this is new doctrine. What is new is how seamlessly AI blends into ordinary research habits. That integration makes it easier to forget that the legal question is still about human judgment.

The law will not ask whether your workflow was efficient. It will ask whether your conduct was reasonable under the circumstances.

In the age of AI, verification is not a courtesy. It is risk management.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com or read more at TALKERS.com.

Industry Views

Monday Memo: Radio’s Advantage is Human

By Holland Cooke
Consultant

imgEvery 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.

In “Between You and AI” (Wiley) author Andrea Iorio cautions that when everyone has access to the same machine intelligence, advantage shifts to what remains scarce. That’s not just-more information. It’s better judgment, trust, empathy, and local savvy… the very things radio has always done best.

Haven’t got time to read all 254 pages? Here’s a short version, as it applies to our work:

  • AI is brilliant at summarizing, predicting, transcribing, drafting, and optimizing. Radio should absolutely use it to handle the mechanical work that clogs calendars and burns out staff. Show prep summaries. Promo copy drafts. Sales proposal outlines. Post-show highlights. Let the machine chew through that.
  • But here’s where radio wins: what to ask, what to emphasize, what to leave out, and how to make people feel. AI can’t do those things without human direction, interpretation, and accountability.
  • For a morning show: AI can surface trending topics in seconds. But it can’t know which story resonates here,today, with this audience – nor when silence, humor, or restraint is the smarter move. That’s human sensemaking. The book calls it “data sensemaking”; radio people have always called it “knowing our market.”
  • News/talk: AI can summarize a city council meeting neatly. It cannot decide which exchange actually matters to listeners’ lives, nor ask the follow-up question that reframes the issue.
  • Sales teams, too, are at a crossroads. AI can generate a competent proposal in seconds. So can your competitor. What it can’t do is replace the trust built when a seller truly understands a retailer’s risk tolerance, cash flow anxiety, and seasonal pressure points. As AI makes “good enough” ubiquitous, relationship quality becomes the differentiator.
  • In an AI-saturated media environment, audiences won’t reward whoever publishes the most. They’ll reward whoever feels the most real. Trust will matter more than tone. Judgment more than speed. Presence more than precision.

AI is not radio’s replacement. It’s radio’s stress test. Stations that pass will be the ones that let machines handle the work so humans can handle the meaning.

Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn

Industry Views

SABO SEZ: Mr. Wonderful Thinks Radio is Wonderful

By Walter Sabo
a.k.a. Walter Sterling, Host
WPHT, Philadelphia, “Walter Sterling Every Damn Night”
TMN syndicated, “Sterling on Sunday”

imgThe 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.

Kevin O’ Leary (a.k.a. “Mr. Wonderful” on TV’s Shark Tank) is a pragmatic investor. When asked about AI’s impact on radio, he says, “It’s the same phobia we had when television hit radio. ‘Oh, it’s going to decimate radio!’ No, it’s not. The art form exists today, even bigger, terrestrial, and in space. To me, AI is just a tool.” (Variety. January 5, 2026)

Surprising to many, radio’s audience numbers today are virtually the same as they were in 1970.

Radio Listenership Today (2020s)

Weekly Reach: As of 2022–2023, approximately 82% to 88% of Americans aged 12 and older listen to terrestrial (AM/FM) radio in a given week.

Monthly Reach: Nielsen data indicates that AM/FM radio reaches 91% of U.S. adults each month.

Daily Listening: Approximately 66% of U.S. adults listen to broadcast or streaming AM/FM radio on a daily basis.

Resiliency: Despite the rise of podcasts and music streaming, 55% of Gen Z in the U.S. still listen to AM/FM radio every day, and it remains the top reach medium, even exceeding social media.

1970s: The era of AM to FM transition and the peak of top-40 terrestrial radio, with 25 million CB radios also becoming popular in the mid-70s.

Today: While reach is still high, the amount of time spent listening is more fragmented, with radio facing competition from streaming (Spotify/Apple Music) and podcasts, although it remains the dominant ad-supported audio choice in cars.

CB radio, cassettes, 8-tracks, CDs, DVDs, Walkman, iTunes, iPhones, SiriusXM, Spotify, podcasts, Pandora… all terminators of radio. None of them made a dent. The killer of radio will be radio’s odd internal pessimism that while predicting doom that never comes drives actions that are suicidal: Elimination of audience qualitative research. Tracking. More Tracking. (Radio Fracking!) No external marketing. Endless talent cuts. No contests. (A $1,000 national contest WOW!) None of those cuts are good business because they cut potential revenues.

And yet there is a relentless, funded determination to end all FCC ownership caps allowing companies to buy more radio stations to operate with great Panglossian efficiency!

Walter Sabo has been a C-Suite action partner for companies such as SiriusXM, Hearst, Press Broadcasting, Gannett, RKO General, and many other leading media outlets. His company, HITVIEWS, in 2007, was the first to identify and monetize video influencers. His nightly show “Walter Sterling Every Damn Night” is heard on WPHT, Philadelphia. His syndicated show, “Sterling On Sunday,” from Talk Media Network, airs 10:00 pm-1:00 am ET, and is now in its 10th year of success. He can be reached by email at sabowalter@gmail.com.

Industry Views

You Are the Asset: Why Protecting Your Voice and Likeness Is No Longer Optional

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By Matthew B. Harrison
TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgFor 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.

AI changed that.

When Matthew McConaughey began trademarking his name and persona-linked phrases (“alright, alright, alright”), it was not celebrity vanity. It was an acknowledgment that identity has become a transferable commodity, whether the person attached to it consents or not.

A voice is no longer just expressive. It is functional. It can be sampled, trained, replicated, and redeployed at scale. Not as a parody. Not as commentary. As a substitute. When a synthetic version of you can narrate ads, read copy, or deliver endorsements you never approved, the injury is not hypothetical. It is economic.

We have already seen this play out. In the past two years, synthetic versions of well-known voices have been used to sell products the real person never endorsed, often through social media ad networks. These were not deep-fake jokes or parody videos. They were commercial voice reads. The pitch was simple: if it sounds credible, it converts. By the time the real speaker objected, the ad had already run, the money had moved, and responsibility had dissolved into a stack of platform disclaimers.

This is where many creators misunderstand trademark law. They think it is about logos and merchandise. It is not. Trademarks protect source identification. Meaning, if the public associates a name, phrase, or expression with you as the origin, that association has legal weight. McConaughey’s filings reflect that reality. Certain phrases signal him instantly. That signaling function has value, and trademark law is designed to prevent identity capture before confusion spreads.

Right of publicity laws still matter. They protect against unauthorized commercial use of name, image, and often voice. But they are largely reactive. Trademarks allow creators to draw boundaries in advance, before identity becomes unmoored from its source.

This is not a celebrity problem. Local radio hosts, podcasters, commentators, and long-form interviewers trade on recognition and trust every day. AI does not care about fame tiers. It cares about recognizable signals.

You do not need to trademark everything. You do need to know what actually signifies you, and decide whether to protect it, because in an AI-driven media economy, failing to define your identity does not preserve flexibility. It invites identity capture.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com or read more at TALKERS.com.

Industry Views

Monday Memo: Successful AI Product Creation

By Holland Cooke
Consultant

imgEvidence 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:

Strategic Philosophy

• AI succeeds only when it solves real business problems, not when used as a novelty.

• Begin every AI project with: “What measurable problem are we solving?”

• Align AI use with station strategy — audience growth, advertiser ROI, efficiency, or content quality.

Tactical Applications for Radio

• Show prep: summarize trending topics, generate local angles, suggest guests.

• Automate routine production (editing, scheduling, metadata tagging) to free creative staff.

• Voice tracking with guardrails — use AI to extend live talent, not replace it.

• News: Employ AI to summarize complex stories quickly for on-air and digital use.

• Sales: Personalize ad copy to make spots more relevant. Automate proposal and spec-spot creation to shorten turnaround time.

Think of AI as “augmentation, not automation.” AVOID making radio sound robotic. Use these tools to make radio smarter, faster, and more human. Enhance talent; don’t erase it. Protect authenticity and listener trust — radio’s enduring differentiator. Develop a station AI policy covering attribution, verification, and data privacy.

Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn

Industry News

Retired Radio Industry Legend Bob Shannon Creates Powerful AI Song About Minnesota Strife

Former 20-year TM Productions creative and marketing executive, Bob Shannon has written and produced – with the help of AI – a compelling ballad about the tragic drama playing out in Minnesota titled, “When theimg 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.”

Shannon continues, “Minneapolis is torn apart, and I see that it’s happening all across the country in relation to the actions of ICE. For the record, I am for a good immigration policy in this country, however the actions of this brutish force neither constitute good policy nor go anywhere towards solving our problem. As a personal note, my housekeeper’s sister-in-law was arrested by ICE at her house yesterday (1/8) morning at 6:00 am with no warrant and no reason… and taken away from her children, who were left alone. For that reason, I was compelled to create this. When my original words were complete, I went to Suno.com, the much discussed Artificial Intelligence music creator, and typed in specific music prompts about instrumentation (piano with bari-saxophones highlights), tempo (slow and evocative; a story song), key and vocal styles (I selected a single male baritone in G major). Then I instructed Suno to create an instrumentation that sonically conveyed a somber sense of sadness, loss, and deep introspection, with instructions to mix the lyrics high in the final mix.”

Shannon concludes, “My words came from a disbelieving head, from a broken heart, and from the pit of my stomach. This was my humanity shining through, and it exposed my raw and real feelings. But AI has no feelings; it’s just an algorithm that provides untrained musicians with a tool to turn original lyrics into songs. Some say that’s cheating, but that’s a discussion for another day.

To listen to “When the Circus Came to Town,” please click here.

Among his many accomplishments in the radio industry, Shannon is the author of the acclaimed book Turn It Up! American Radio Tales 1946-1996,” originally released in 2009 and updated in 2017.  He can be reached by email at bobshannonworks@gmail.com  or phoned at 206-755-5162.  

Industry Views

SABO SEZ: A Long History – Do Not Fear AI

By Walter Sabo
a.k.a. Walter Sterling, Host
WPHT, Philadelphia, “Walter Sterling Every Damn Night”
TMN syndicated, “Sterling on Sunday”

imgAndy 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?”

I said, “Yes, we could use software that programs music.” He was interested. I said, “When you invent that, NBC will buy your first products.”

Andy went forth and invented “Selector,” the first viable, almost easy-to-understand, user-friendly music programming software. Prior to “Selector,” music was programmed in a wide variety of homemade processes such as rotating songs against back timing photo lab clocks (WABC) to RKO’s “Gold Book” mess requiring jocks to use many colored pens to log off played songs. Or the wooden spike technique: Jocks took the 45s off one spike after it was played and stacked it on a different spike – really.

The adoption of “Selector” didn’t go as planned. First, most of the industry was terrified that what little freedom jocks had to select songs would be lost. My favorite cry from jocks, “But when it’s raining, I’ve got to play a song that sings about rain.”

My hope for computerizing the organization of songs was that it would free up programmers to program! The desired end game was that programmers would have more time to talk with their talent, create bigger promotions and upgrade overall production.

What happened, however, was most programmers devoted more time to programming music! Throughout the country programmers pored over the output from “Selector” and manually, hour by hour by hour and edited every song.

When discussing the virtue of precision music selection, WABC midday talent Ron Lundy said, “It don’t mean nothinnnnn.”

AI is just like “Selector.” First, it strikes fear. But it will be used in every radio station very soon. How it will be used and its impact on you will be different than we can imagine. The more a person learns about AI’s capabilities and how to use its fresh options, the more control they will have of it.

Walter Sabo has been a C-Suite action partner for companies such as SiriusXM, Hearst, Press Broadcasting, Gannett, RKO General, and many other leading media outlets. His company, HITVIEWS, in 2007, was the first to identify and monetize video influencers. His nightly show “Walter Sterling Every Damn Night” is heard on WPHT, Philadelphia. His syndicated show, “Sterling On Sunday,” from Talk Media Network, airs 10:00 pm-1:00 am ET, and is now in its 10th year of success. He can be reached by email at sabowalter@gmail.com.

Industry Views

Are Your AI Logos Actually Kryptonite?

By Matthew B. Harrison
TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgSuperman 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.

At first glance, you might shrug. “That’s Warner Bros. vs. Silicon Valley – what does it have to do with my talk media show?” Here’s the answer: everything. If you or your producer are using Midjourney, DALL·E, or Stable Diffusion for logos, promos, or podcast cover art, you’re standing in the same blast radius.

AI Isn’t Neutral Paint

The romance of AI graphics is speed and cost. Need a logo in five minutes? A flyer for a station event? A podcast cover? Fire up an AI tool and you’re done.

But those images don’t come from a blank canvas. They come from models trained on copyrighted works – often without permission. Warner Bros. alleges that Midjourney not only trained on its characters but knowingly let users download knockoff versions.

If Warner wins – or even squeezes a settlement – AI platforms will clamp down. Suddenly, the “free” art you’ve been posting may not just vanish; it may become a liability.

Too Small to Matter? Think Again

Here’s the legal catch: infringement claims don’t scale by size. A podcaster with a Facebook page is just as liable as a network if the artwork copies protected content.

It’s easy to imagine a rival, competitor, or ex-producer spotting an AI-made graphic that looks “too much like” something else – and firing off a takedown. Once that happens, you’re judged not by intent but by what you published.

Unlike FCC guardrails for on-air speech, there’s no regulator to clarify. This is civil court. You versus the claimant – and the billable hours start immediately.

Even Elon Musk Just Got Burned

Neuralink – Elon Musk’s brain-computer startup – just lost its bid to trademark the words “Telepathy” and “Telekinesis.” Someone else filed first.

If Musk’s lawyers can’t secure simple branding terms, what chance does your station or company have if you wait until after launch to file your new show name? Timing isn’t just strategy; it’s survival.

The Playbook

  1. Audit Your AI Use. Know which graphics and promos are AI-generated, and from what platform.
  2. File Early. Register show names and logos before the launch hype.
  3. Budget for Ownership. A real designer who assigns you copyright is safer than a bot with murky training data.

The Bottom Line

AI may feel like a shortcut, but in media law it’s a trapdoor. If Warner Bros. will defend Superman from an AI platform, they won’t ignore your podcast artwork if it looks too much like the Man of Steel.

Big or small, broadcaster or podcaster – if your AI Superman looks like theirs, you’re flying straight into Kryptonite.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com or read more at TALKERS.com.

Industry Views

Fair Use in 2025: The Courts Draw New Lines

By Matthew B. Harrison
TALKERSVP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgImagine 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.

Judges in California have sent a strong signal: training large language models (LLMs) on copyrighted works can qualify as fair use if the material is lawfully obtained. In Bartz, Judge William Alsup compared Anthropic’s use of purchased books to an author learning from past works. That kind of transformation, he said, doesn’t substitute for the original.

But Alsup drew a hard line against piracy. If a dataset includes books from unauthorized “shadow libraries,” the fair use defense disappears. Those claims are still heading to trial in December, underscoring that source matters just as much as purpose.

Two days later, Judge Vince Chhabria reached a similar conclusion in Kadrey v. Meta. He called Meta’s training “highly transformative,” but dismissed the lawsuit because the authors failed to show real market harm. Together, the rulings show that transformation is a strong shield, but it isn’t absolute. Market evidence and lawful acquisition remain decisive.

AI training fights aren’t limited to novelists. The New York Times v. OpenAI case is pressing forward after a judge refused to dismiss claims that OpenAI and Microsoft undermined the paper’s market by absorbing its reporting into AI products. And in Hollywood, Disney and Universal are suing Midjourney, alleging its system lets users generate characters like Spider-Man or Shrek – raising the unsettled question of whether AI outputs themselves can infringe.

The lesson is straightforward: fair use is evolving, but not limitless. Courts are leaning toward protecting transformative uses of content—particularly when it’s lawfully sourced – but remain wary of piracy and economic harm.

That means media professionals can’t assume that sharing content online makes it free for training. Courts consistently recognize that free journalism, interviews, and broadcasts still carry market value through advertising, sponsorship, and brand equity. If AI systems cut into those markets, the fair use defense weakens.

For now, creators should watch the December Anthropic trial and the Midjourney litigation closely. The courts have blessed AI’s right to learn – but they haven’t yet decided how far those lessons can travel once the outputs begin to look and feel like the originals.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com

Industry Views

When the Library Talks Back

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By Matthew B. Harrison
TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgImagine 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.

Owning the recordings might suggest the right to create new works from them. In reality, the answer is more complicated – and the music industry offers a useful comparison.

Music Industry Precedent

Sony, Universal, and others have spent hundreds of millions buying music catalogs from artists such as Bob DylanBruce SpringsteenPaul Simon, and Queen. These deals often include both composition rights and master recordings, giving the buyer broad control over licensing and derivative works.

In music, the song and the recording are the assets. In talk content, the defining element is the host’s persona – voice, cadence, and delivery – which changes the legal analysis when creating new material.

Copyright and Persona Rights

Buying a talk archive usually transfers copyright in the recordings and any scripts. That permits rebroadcast, excerpts, and repackaging of original programs.

It does not automatically transfer the host’s right of publicity – control over commercial use of their name, likeness, and in many states, their distinctive voice. In Midler v. Ford Motor Co. (1988), the court ruled that imitating Bette Midler’s voice in a commercial without consent was an unauthorized use of her identity.

This means a company can own the shows without having the right to make new performances in the host’s voice unless the contract clearly grants that right.

The AI Factor

AI technology can replicate a host’s voice, tone, and style with high accuracy, producing entirely new programming.

Outside broadcasting, a recent AI-generated George Carlin special – written by humans but performed by a voice model trained on decades of his work – sparked debate about rights and legacy.

In talk radio, similar AI use could create “new” episodes featuring well-known hosts. Even with clear labeling, right-of-publicity claims may arise if the host or their estate never authorized it. Disclaimers may address consumer confusion but do not remove identity-rights issues.

Why It Matters

This applies to more than national figures. Any broadcaster or podcaster with a substantial archive could face it. Selling or licensing a library could give the buyer the tools to replicate your voice without your participation.

For buyers, the ability to produce new content from archived material has commercial appeal. But without the right to use the host’s voice for new works, it carries significant legal and reputational risk.

Contracts Decide

The key is in the contract:

— Did the talent assign rights to their name, likeness, and voice for future works?
— Is use limited to original recordings or extended to derivative works?
— Does it address future technologies, including AI?

Older agreements often omit these points, leaving courts to decide. Future contracts will likely address AI directly.

Takeaways

For talent: Know what you are transferring. Copyright ownership does not necessarily include your future voice.

For buyers: Owning an archive does not automatically give you the right to create AI-generated new material in the original host’s voice.

For everyone: As AI advances, control over archives will depend on the contracts that govern them.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com or read more at TALKERS.com.

Industry News

iHeartMedia’s AI Efforts to Translate Podcasts

Yesterday’s news that iHeartMedia is offering 10 of its top podcasts in six different languages besides their native English did not go into detail about how these podcasts are being translates. A story in Digiday looksimg 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. Read the Digiday story here.

Industry Views

Monday Memo: Make AI Your Intern, Not Your Replacement

By Holland Cooke
Consultant

imgWhen a blogger found “no biography, or further information about the woman who is supposedly presenting this show,” it forced Australian Radio Network to acknowledge that Artificial Intelligence supplies the voice of “Workdays with Thy” on one of its stations (CADA, available on the iHeartRadio app). “Exploring how new technology can support great content,” the network statement rationalized.

If you’re a (human) music DJ, this is chilling. If you’re a talk host, are you next? Hey, IBM’s Deep Blue defeated world chess champion Garry Kasparov in 1997, back when we were still dialing-up Internet access. So don’t think souped-up AI couldn’t someday interact with human callers. Or the fake callers vendors now offer.

Flip-the-script, to put the robot to work for you and sound local and super-relevant. Here’s how, step-by-step.

1. Use Google Trends, filtered to your metro area.

— Go to Google Trends.
— Set the location to your city, state, or region.
— Look at:
-Trending Searches (daily hot topics)
-Related Queries (people often search “near me” + other urgent needs)

2. Focus on “Near Me” signals that reflect tension, urgency, or curiosity

— “Near me” searches usually spike when:

– People have a problem (e.g., “urgent care near me”, “cheap gas near me”).
– There’s a trend or event (e.g., “earthquake near me”, “protest near me”).
– There’s fear, confusion, or excitement (e.g., “layoffs near me”, “concerts near me”).

— These are rich veins for call-in topics because:

– They touch emotions (fear, anger, hope).
– They’re localized — content your new-tech audio competitors won’t have.
– They’re now — you can spin them for immediate reaction.

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3. Translate “Near Me” searches into talkable angles

— Example:

Search Trend Possible Call-In Topic
“Layoffs near me” “Are you worried about job security? Have you or someone you know been laid off recently?”
“Protests near me” “What’s your take on the demonstrations downtown? Are they making a difference or making things worse?”
“Gas prices near me” “Have high gas prices changed your driving habits? Are you cutting back or just absorbing it?”

4. Bonus Tip: Cross-Reference “Near Me” with social media buzz

— Use X (Twitter) trends and Facebook community groups to see if local chatter matches what Google is showing.

5. Create a simple daily habit

— Spend 5 minutes a day on Google Trends.
— Pull one or two local “near me” topics.
— Frame them into emotionally loaded questions for on-air teasing:

– “Do you feel less-safe after [recent incident? [phone number].”
– “Have YOU or someone you know been affected by the [local layoffs]?”

Evidence that you can make AI your assistant, and not your replacement? I asked ChatGPT to outline the instructions above; and this fill-in-the-blanks a Topic Mining Sheet you can use daily to systematically turn Google “near me” trends into great call-in topics.

Oh, and from the website for that Australian station: “We are an inclusive workplace embracing diversity in all its forms.” You do the punchline.

Holland Cooke (HollandCooke.com) is a consultant working the intersection of broadcasting and the Internet. Follow HC on Twitter @HollandCooke and connect on LinkedIn

Industry News

Audacy’s Suchman: What’s Making Audio the Most Effective Ad Medium

In a piece in AdAge, Audacy chief marketing officer Paul Suchman spells out how AI and influencer marketing are transforming audio into the most effective ad medium. Suchman writes, “Audio deserves muchim 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.” Read the full article here.

Industry News

Will AI-Powered Robots Take Jobs from Talk Show Hosts?

A big question bouncing around the industry: Will AI-generated voices take jobs away from radio talk show hosts?  Michael Harrison ID
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.ObsoleteSlobs.com).  To listen to the conversation between Munoz and Harrison, please click here.

Industry News

Audacy: Human Voices Engender Trust

Audacy reports that according to June 2024 data from its Innovation Tracker, 75% of U.S. adults believe AI can deceive them with false information, raising concerns about authenticity and reliability and that the human voice stands out as a beacon of trust. Audacy says the data reveals that “people are more than twice as likely to trust a human voice (55%) over AI-generated content (23%). This preference also extends toim 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.”

Industry News

REVERSE ROLES: Harry Hurley Interviews MH on Harrison Podcast About Artificial Intelligence

WPG, Atlantic City radio star Harry Hurley reverses roles with MH on this week’s installment of the award-winning PodcastOne series, “The Michael Harrison Interview.” Actually, this week’s episode of the long-running podcast consists of provocative excerpts from Harrison’s recent guest appearance (6/4) on Hurley’s popular WPG morning show in which he was booked to discuss the technological and sociological implications of AI. This took place in conjunction with the release of the new Gunhill Road music video, “Artificial Intelligence (No Robots Were Injured in the Production of this Song).”  Harrison co-wrote and performs lead vocals on the song with the venerable band which had its world premiere on WPG that morning and kicked off Harrison’s “Obsolete Slobs” radio tour in support of the piece. The conversation is a no-holds-barred look at the implications – beneficial and destructive – of the remarkable new technology that is disrupting art, communications, and life here in the early decades of the 21st century and promises to have dramatic impact on the course of humanity going forward. Don’t miss this! Listen to the podcast in its entirety here.

Industry Views

Monday Memo: A.I. Cannot Do This Commercial

By Holland Cooke
Consultant

imActor Hugh Grant’s Tweet called it “The destruction of the human experience. Courtesy of Silicon Valley.” He was reacting to Apple’s TV commercial depicting a hydraulic press crushing a piano, a record player, paint, books, cameras, and other creative tools Artificial Intelligence emulates, via the new iPad Pro.

With many now fearful that technology will obsolete their jobs, Apple yanked the spot: “We missed the mark with this video and we’re sorry.”

Following my recent column cautioning how ChatGPT-generated ads can be cliché-riddled, several TALKERS readers have sent me even more of the cringe-worthy catch-phrases (“And much more!”) that reduce too many ads to blah-blah-blah.

Various vendors are offering – and, increasingly, stations are using – Artificial Intelligence apps to script, and even voice, commercials. It’s a time-saver alright, but is the output compelling?

In some cases, there’s a fill-in-the-blanks form. Other apps crawl the prospect’s website for copy points. When I’m given demonstrations, I suggest a business I’m familiar with. And I’ve yet to hear a script that captures what makes the business special.

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For one such demo,’ I chose a restaurant we frequent often, here on Block Island. The copy generated was painfully generic. So – to make the point – I went old-school, using the method that has consistently produced results for client stations and in my freelance work.

My video describing the process “Radio Advertising, In Their Own Words” includes several examples… and here’s another.

The AI robot cannot possibly feel-the-feel anyone who has dined there knows… and can’t spot this opportunity: The chef himself is a story, as entertained customers discover: http://getonthenet.com/TheBarn-BrianHebert-1.mp3

And here’s The Free Prize Inside: People tell advertisers who appear in their spots, “I heard you on the radio!”

More work than simply plugging-into an AI app? You bet. The interview from which I excerpted the sound bites you’ll hear took all of five minutes, and I voiced and assembled the spot in under half an hour.

Everything we do is storytelling.

Holland Cooke (HollandCooke.com) is a consultant working at the intersection of broadcasting and the Internet. He is the author of “Close Like Crazy: Local Direct Leads, Pitches & Specs That Earned the Benjamins” and  “The Local Radio Advantage: Your 4-Week Tune-In Tune-Up,” and “Confidential: Negotiation Checklist for Weekend Talk Radio.” Follow HC on Twitter @HollandCooke and connect on LinkedIn.

Industry Views

Monday Memo: It’s Artificial Intelligence

By Holland Cooke
Consultant

imI 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?”

Instantly, the robot replied: “While there isn’t a definitive list of commercial clichés, as they can vary depending on industry, audience, and cultural context, here are some common examples to consider instructing AI to avoid:

1. Don’t miss out!

2. Limited time offer!

3. One-of-a-kind deal!

4. Act now!

5. For a limited time only!

6. Unbeatable prices!

7. Revolutionary product!

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8. Best in class!

9. Cutting-edge technology!

10. Guaranteed satisfaction!

11. Change your life today!

12. Once in a lifetime opportunity!

13. Hurry, while supplies last!

14. Get yours today!

15. New and improved!

These are just a few examples, and there are many more clichés that could be included in such a list. It’s also important to consider the specific audience and context when identifying and excluding cliches from AI-generated advertising commercial copy.”

Skynet has become self-aware. 

Holland Cooke (HollandCooke.com) is a consultant working at the intersection of broadcasting and the Internet. He is the author of “Close Like Crazy: Local Direct Leads, Pitches & Specs That Earned the Benjamins,” and  The Local Radio Advantage: Your 4-Week Tune-In Tune-Up,” and “Confidential: Negotiation Checklist for Weekend Talk Radio.” Follow HC on Twitter @HollandCooke and connect on LinkedIn.

Industry News

Techsurvey 2024: Listeners’ Views on AI in Radio

Jacobs Media’s Techsurvey 2024 surveyed more than 31,000 core radio listeners to gather their opinions about the use of AI by radio stations. President Fred Jacobs says, “Many radio companies have jumped on the AI bandwagon but with little guidance from their audience. This exclusive data from Techsurvey 2024 provides valuable feedback from partisans of 10 popular radio formats about their hopes and for now at least, fears of AI.” Fifty-eight percent of those surveyed were familiar with AI and of those, nearly one in ten (9%) uses its applications for personal, work, or school. Gen Z and Millennialim 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.”

Industry Views

Michael Harrison: The Future of Radio Depends Upon What Those of Us in the Business Make It

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TALKERS founder Michael Harrison appeared as a guest Wednesday on Frank Morano’s “The Other Side of Midnight” show (3/13) as part of his current “Scammers” interview tour promoting the new Gunhill Road “Damn Scammers (Get Off My Phone)” music video (www.scammersvideo.com). The conversation illuminated Harrison’s concerns about the rapid spread of scamming and fraud in the digital space but quickly expanded to a discussion about the pros and cons of AI and an existential look at the future of the radio platform itself.

Regarding the insidious growth of scams on the internet, Harrison said, “It is a major problem up there with terrorism, inflation, street crime, pandemics, uncontrolled immigration, and war… it’s corroding the quality of our lives, lowering the bar on integrity, and raising the level of disingenuousness that is becoming a ‘normal’ part of our culture.” Harrison attributes a major part of the problem to legislators being behind the curve on this, stating, “Historically, it takes time for legislation to catch up to changes in technology… now that technology is changing so rapidly it’s increasingly difficult for legislators to keep up with it. In many cases they don’t even have a clue as to how the internet operates.”

Regarding the issue of AI stealing jobs from broadcasters – particularly talent – going forward, Harrison was blunt: “Just like all technology, AI is a double-edged sword and can be dangerous.  But in the case of art, people have always accused new technologies in art as somehow being fake and ‘cheating’ but history has consistently shown that today’s technology is tomorrow’s art. Regarding the loss of jobs for radio talent, it all depends on what you bring to the table. If you are a basic announcer, meaning you read most of your content from a script or apply a very limited range of verbiage such as time, temperature, news and the simple intros and outros of songs – watch out, you will likely lose your job. But if you’re a talk show host, analyst, interviewer, or commentator – all you have to do is work a little harder… you have to be even more original. AI can only draw upon and synthesize what’s already out there. You’ll have to stay ahead of the AI learning curve. All AI can actually do is realistically recreate monologues and dialogue that are in the category of worn-out talking points. If that’s what you are currently doing on the air, you’ll be replaced by AI and no one will notice.”

Regarding the future of radio and its ongoing viability in the digital era, Harrison said that it depends on whether those of us in the industry actively create radio’s relevant future or abandon it out of fear or simple lack of ideas. Harrison warned, “The use of ‘audio’ as a description of this medium is short-sighted. Radio is an esthetic… complex and organic. All radio is audio but not all audio is radio. Putting up a sign on radio calling it audio would be like owning a restaurant and calling it ‘food’ or a specific brand car dealership and calling it ‘transportation.’” Listen to the interview here

Industry News

Michael Harrison Advises College Broadcasters to Cautiously Embrace the Artistic Potential of New Technology at IBS Conference

The 85th annual Intercollegiate Broadcasting System (IBS) conference took place this past Friday and Saturday (3/1-2) at the Sheraton Times Square hotel in New York City drawing some 800+ student broadcasters, faculty, and administrators from campus stations across the nation.  TALKERS founder and multi-radio format pioneer Michael Harrison was among the event’s featured speakers. Harrison’s one-hour address titled, “The Next 10 Years of Media and Popular Culture is…?” brought up as manyim questions as it did answers about what young broadcasters entering professional media today should be prepared for in navigating the unpredictably turbulent waters of the next decade and beyond. Among the sweeping panorama of topics covered in his address, Harrison told the students, “When looking to the future, don’t be too sure that current events will follow a predictable script. There are always ‘black swan events’ that change the storyline and our expectations in an instant. Plus, there are multiple outcomes, possibilities, and forks in the road for almost every situation.” Regarding the current focus on artificial intelligence, Harrison advised, “All technology is a double-edged sword and AI will prove to be a particularly consequential one with both positive and negative implications. However, don’t fall into the age-old trap of thinking that productions and performances created or enhanced by new technology are necessarily ‘artificial’ or ‘fake.’ New tools not only create new art, they have an irrepressible influence on giving rise to new culture. The immediate years ahead are likely going to provide us with the challenging question of ‘what does it mean to be truly human?’” Harrison concluded, “As young broadcasting students in 2024 looking to make a difference in the world, be prepared to face the challenge of following your dreams, ideals and inspiration while confronting the harsh realities of making a living in a stressed environment of relentless change. We live our lives in this business at the dangerous intersection between art and commerce.”

Since its inception in 1940, IBS has been led by outstanding volunteers who are passionate about student media. Congratulations to Norm Prusslin, chairperson, IBS board and Chris Thomas, president, IBS as well as conference chairperson Shawn Novatt and the entire board upon the success of this year’s gathering.

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Pictured above is  Michael Harrison (c) with two key executives from Backbone Networks at the innovative company’s display among the exhibits at the annual IBS conference. Representing two generations of the legendary Capalbo family of radio groundbreakers are George N. Capalbo, CTO, Backbone Networks (l) and his son George L. Capalbo, marketing communications director, Backbone Networks (r).  They are the son and grandson of the late WRKO, Boston radio satellite innovator George J. Capalbo.

Industry Views

Monday Memo: ChatGPT – Threat and Tool

By Holland Cooke
Consultant

imAfter post-consolidation cutbacks have whacked local on-air content, there’s now angst that Artificial Intelligence can – literally – dehumanize radio (and other media – HUGE issue in the SAG-AFTRA strike). Voice cloning is child’s play; and several vendors are already peddling AI gimmicks to radio stations.

Glass-half-full: When I asked, “How talk radio hosts and DJs can use ChatGPT to prepare shows,” the robot replied instantly…

“Talk radio hosts and DJs can leverage ChatGPT to enhance their show preparation, generate engaging content, and connect with their audience more effectively. Here’s a guide on how they can use ChatGPT effectively:

— Show Topic Generation: Use ChatGPT to brainstorm and generate unique and interesting show topics. Input keywords related to your show’s theme or current events to get topic suggestions.

— Content Research: Ask ChatGPT to provide background information on a particular topic or guest. It can summarize recent news, provide historical context, or even suggest relevant questions.

— Interview Preparation: Use ChatGPT to generate interview questions and talking points. Input information about your guest or their expertise, and ChatGPT can help you create a list of thoughtful and engaging questions.

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— Script Writing: When scripting segments or promotional materials, you can collaborate with ChatGPT to draft scripts. It can provide creative ideas for introductions, transitions, and promotional announcements.

— Audience Engagement: Ask ChatGPT to generate polls, questions, or discussion points to engage with your audience during live shows. It can also help create intriguing teasers to promote upcoming segments.

— Fact-Checking: Use ChatGPT to fact-check information before presenting it on air. This ensures the accuracy of your content and maintains your credibility.

— Content Expansion: If you need to expand on a topic or provide additional information during a show, ChatGPT can help by generating elaborative content or explanations.

— Generating Show Summaries: After the show, ChatGPT can assist in creating summaries or show notes for your listeners, making it easier for them to catch up on missed episodes.

— Storytelling and Narration: DJs can use ChatGPT to help craft engaging stories or narratives to share with their audience, making their radio shows more entertaining and relatable.

— Creative Segment Ideas: Ask ChatGPT for creative ideas for segments, games, or challenges to keep your show fresh and exciting.

— Language Assistance: For DJs hosting shows in multiple languages, ChatGPT can help with translation, pronunciation, and language learning, ensuring smooth communication.

— Show Promotion: Collaborate with ChatGPT to create compelling social media posts, newsletters, or blog content to promote your shows and engage with your audience online.

— Handling Caller Questions: If you take live caller questions, ChatGPT can assist in formulating responses or clarifying complex issues for your callers.

— Real-Time Updates: For breaking news or sudden changes, ChatGPT can provide real-time updates and help you adapt your show’s content on the fly.”

Remember how those Terminator movies warned-against SkyNet A.I. becoming self-aware? While there’s no question that ChatGPT is the cure for writer’s block, its response ended with some impressive self-awareness, a reminder that YOU are the author of your show: “Remember to review and edit the content generated by ChatGPT to ensure it aligns with your show’s tone, style, and audience preferences. ChatGPT can be a valuable tool for radio hosts and DJs, streamlining the preparation process and enhancing the overall quality of their shows.”

Holland Cooke (HollandCooke.com) is a consultant working at the intersection of broadcasting and the Internet. He is the author of “Confidential: Negotiation Checklist for Weekend Talk Radio;” and “Close Like Crazy: Local Direct Leads, Pitches & Specs That Earned the Benjamins.” Follow HC on Twitter @HollandCooke

Industry News

TALKERS to Present Webinar on Protection Against Ransomware and Other Cyber Attacks for Radio Stations and Media Companies

Ransomware, the most common cyberattack, occurs worldwide more than 37,000 times each hour and the “Business Email Compromise,” a common scam targeting companies, is attempted approximately 156,000 times each day. The cost of these attacks is huge financially, but the losses due to scams and cyberattacks extend far beyond the funds stolen or required to remedy the problems after they occur. Downtime, data depletion, extortion demands, funds stolen by scams, reputation damage, and loss of intellectual property are all sources of extreme damage to media companies and radio stations which can be even worse when you factor in possible legal liability for failure to comply with proper cybersecurity standards. Radio and media companies, large and small, have been particularly hard hit by this growing criminal activity in recent years.

TALKERS, in conjunction with Scamicide (www.scamicide.com), is presenting an exclusive webinar forim radio and media company personnel focusing on where broadcasters are vulnerable and steps that should be taken to become more secure as well as comply with federal regulations. The 90-minute webinar will take place on Friday, October 20 at 2:00 pm ET.

This information-packed session will be conducted by Scamicide founder and TALKERS legal editor Steven J.J. Weisman, Esq. According to Weisman, “When it comes to the danger radio stations and media companies face from scams and cyberattacks, things aren’t as bad as you think. They are far worse.”

Weisman continues, “Your companies are further vulnerable through the many ‘Internet of Things’ devices, such as your internet connected copier and other devices, remote workers and third-party vendors, all of which become attack vectors. Making the situation even worse is the business model of sophisticated cybercriminals who sell and lease on the ‘Dark Web’ the complex malware they create to less sophisticated cybercriminals and now, through AI and deep fakes, cyberattacks and scams have become more effective.”

Steve Weisman is an attorney and a college professor at Bentley University in Boston where he teaches White Collar Crime and Media Law. He’s a prolific author and one of the country’s leading experts in scams, identity theft, and cybersecurity. Scamicide, which he founded, provides daily updated information about the latest scams, identity theft schemes and cybersecurity developments. Scamicide was named by The New York Times as one of the three best sources of information regarding COVID-related scams. Weisman is a frequent speaker and consultant regarding scams, identity theft, and cybersecurity. He was a consultant in an Equifax data breach class action and more recently advised Meta in regard to scams related to its WhatsApp app.

The cost of attending the webinar is $149 per person. Broadcasters can register by phone only with credit card. To register, call Barbara Kurland at 413-565-5413 or email info@talkers.com to receive a quick response.

Industry News

Michael Harrison Says AI is One of the Most Important Talk Topics of Our Times

TALKERS founder Michael Harrison has kicked off a nationwide guesting tour of talk shows promoting discussion of the upside and downside of AI in conjunction with the release of the new song, “I Got a Line in New York City,” by the long-established classic rock group, Gunhill Road. Harrison performs lead vocals on the track performed with band members Steve GoldrichPaul Reisch and Brian Koonin. The music video of the song (produced by Harrison’s son and TALKERS associate publisher Matthew B. Harrison) has been described as a computer’s “fever dream about the Big Apple.” Although the music is totally organic, all of the visual graphics on the video have been assisted in their creation by generative artificial intelligence. Harrison says, “There’s huge interest in the topic of AI including the existential issues of its potential impact on our species. In the art community, debate is raging over whether AI enhances originality and creativity or if it is ushering in the death of individual artists and the role they play in the humanities.” See that video here.

Harrison launched the tour late last week appearing on the Rich Valdes show on Westwood One and has subsequently appeared on network programs hosted by Doug Stephan, Dr. Daliah Wachs, and WABC’s Frank Morano, as well as Harry Hurley on WPG, Atlantic City,  Todd Feinburg on WTIC-AM, Hartford and Michael Zwerling on KSCO, Santa Cruz.  WOR, New York has posted the video and an  accompanying story here.

To book Michael Harrison please call Barbara Kurland at 413-565-5413 or email info@talkers.com

Industry Views

Pending Business: Recruitment 3.0

By Steve Lapa
Lapcom Communications Corp
President

imIt’s that time of year. College graduates are pushing out resumes. Are you open for entry level sellers? Any turnover on your sales team this year?

In April, we reviewed new data impacting today’s college graduate entry-level sellers. 97% are open to jobs unrelated to their new degrees. 56% of Americans, as in their parents, do not believe a college degree is worth it anymore.

There’s more. According to a recent Wall Street Journal article, a survey by college healthcare provider Timelycare, shows 53% of (2023) graduates want a full work-from-the-office environment, while only 21% are good with total remote. Are we saying entry-level sellers WANT to work from the office? These young people want the commute, politics, and distractions of the office workplace environment. Are you kidding me? The good old days?

The survey results do make some sense when you stop to realize most of the new grads spent a good part of their COVID-impacted college lives logging into classes, missing several semesters of lecture hall instruction and dorm life.

Now comes the closer: these isolation years caused these new grads a lack of “soft skills” or what we used to call social skills. Recruiters, colleges and universities are now coaching these new grads in everything from “How to Start a Conversation,” to proper in-office dress, to eating at the same pace as your business lunchmate.

Not kidding here, all you 50- and 60-something sellers and managers. This round of recruiting entry-level sellers is totally about “How To…” and you may want to consider video and an eBook once hired.

Let’s face it, with AI coming fast, the future is here and like everything else in sales, there is no clear “How To…” handbook. But recruit we must as nothing happens without a seller. Loyalty is quickly fading as new, younger sellers want a different experience.

Let’s prepare a starter list for recruiting entry-level sellers in today’s world. Here are 10 suggested questions and concepts to cover the basics:

— Why do you want to join our sales team?

— What do you think is the most important quality a seller must have?

— How would you define a sale?

— When was the last time you experienced rejection? What did you do?

— Give me an example of a recent success in a competitive situation.

— If you could do anything professionally, what would it be?

— I am going to hand you my pen. Sell it to me.

— What is the difference between a Winner and a Champion?

— What do you think the most important thing an advertiser wants to hear from a seller?

— Tell me what specifically brings you to sell for _______?

I’m sure you have your own recruitment strategy/profile. Is it current? For the seller, that younger team member may be different from what you expect. The best seller I coached was an Art History major.

Steve Lapa is the president of Lapcom Communications Corp. based in Palm Beach Gardens, FL. Lapcom is a media sales, marketing, and development consultancy. Contact Steve Lapa via email at: Steve@Lapcomventures.com.

Industry Views

Passion Versus AI

By Walter Sabo
Consultant, Sabo Media
A.K.A. Walter Sterling
Radio Host, Sterling on Sunday

imLast week I had the privilege of moderating a panel at the TALKERS conference. Confession: I listen to speech patterns and tones more than words.

The prestigious panel featured Dan Mandis, program director and host, WTN-FM, Nashville; Ross Kaminsky, host KOA, Denver; Phil Boyce, SVP, spoken word format, Salem Media Group/ops VP, New York region/WMCA/AM 970; Josh Leng, CEO, Talk Media Network; and Matt Meany, program director, WABC, New York/Red Apple Media.

Yes, their collective knowledge and experience is unbeatable. They answered questions of great interest: How does iHeart measure social media accomplishments? Should one be fired for social media or podcast content or just for their air work? Establishing a syndication base, how does that happen? Where are the women – kudos to Salem’s Phil Boyce for celebrating their women hosts. What do programmers really look for in hosts? All valuable answers.  See the video of this session here.

Their words aren’t the “win.” The win is the fact that each of these pros has passion, passion and more passion. Their knowledge results in caring, heartfelt, supportive shares. They care about the future; they care about their craft. Programmers have to be optimistic about radio’s positive impact in order for them to do their jobs. Their descriptive tones make radio appealing.

The panel represents radio’s caretakers, gardeners, guides. The executives on the stage reveal qualities and qualifications that become overwhelmingly apparent in their demeanor and speech patterns. That’s what I hear.

Radio does not have to compete or fret over AI.  AI coders have to fret over their inevitable failure to capture or even coldly mimic the depth of emotion and confidence expressed by Matt, Josh, Phil, Ross and Dan. Good luck with that algorithm …losers.

Walter Sabo was the youngest Executive Vice President in the history of NBC. The youngest VP in the history of ABC. He was a consultant to RKO General longer than Bill Drake. Walter was the in-house consultant to Sirius for eight years. He has never written a resume. Contact him at walter@sabomedia.com. or mobile 646-678-1110. Hear Walter Sterling at www.waltersterlingshow.com.

Industry Views

Monday Memo: Future-Proof Your Career

By Holland Cooke
Consultant

imHow will AI tools like ChatGPT impact the way we work? The clues are everywhere. Several client stations have automated weather, and even with your consultant’s trained ear, I had to ask. And yes, she’s a robot.

From Harvard Business Review: 5 tips

— Avoid Predictability – AI isn’t generating new insights; it’s a prediction engine that merely guesses the most likely next word…its suggestions tend to homogenize, and they’re only as good as the wisdom of the crowds, which is often the exact opposite of wisdom.

— Hone the skills that machines strive to emulate – AI responses display empathy (“I am sorry my answer upset you”), self-awareness (“I’m just an AI model and my answers are based on training data”). But those responses are based on text prediction, and AI is not capable of experiencing or displaying the human version of these soft skills…so actually knowing and caring about what others think and feel, truly understanding yourself, and being capable of creating something machines cannot is an essential strategy to set yourself apart.

im

— Double down on “the real world” – Original research — actually talking to people and identifying new insights — becomes critical, because AI can only connect past dots and information it’s already been presented with. When you tap into information that isn’t (yet) online through your lived experience or novel interviews and conversations, you’re adding something genuinely new to the cultural conversation that wouldn’t be possible through AI.

— Develop your personal brand – Just as art world buyers will pay exponentially more for a “real Rembrandt” rather than an equally beautiful painting by one of his lesser-known contemporaries, corporate leaders will likely continue to pay a premium to work with people viewed as the “top of their field” — partly as a statement of quality, and partly as a brand statement about whom they associate with and what they value.

— Cultivate expertise – AI technologies are prodigious researchers that can summon a cavalcade of facts almost instantly. Unfortunately, some of those facts aren’t true. Even if AI performs “first draft” functions, it still has to be double-checked by a trusted and reliable source.

Holland Cooke (HollandCooke.com) is a consultant working at the intersection of broadcasting and the Internet. He is the author of “Multiply Your Podcast Subscribers, Without Buying Clicks,” available from Talkers books; and “Spot-On: Commercial Copy Points That Earned The Benjamins,” a FREE download; and the E-book and FREE on-air radio features Inflation Hacks: Save Those Benjamins.” Follow HC on Twitter @HollandCooke

Industry News

Yesterday’s (3/29) Top News/Talk Media Stories

The aftermath of the Nashville school shooting that took the lives of six; the various legal battles facing former President Donald Trump; the battle for control of Bakhmut in the Russia-Ukraine war; bank regulators are grilled during a House Financial Services Committee hearing; the fire at a migrant facility in Mexico that left 38 dead; the warning from tech leaders to halt the creation of AI systems due to “profound risks to society and humanity”; Arkansas sues social media companies claiming their products are harmful to users; and protests over Israel’s plan to reboot its judicial system were some of the most-talked-about stories in news/talk media yesterday, according to ongoing research from TALKERS magazine.

Industry Views

Pending Business: AI Meets Sales

By Steve Lapa
Lapcom Communications Corp
President

Talk radio - PodcastHave you picked up the most recent buzz around Artificial Intelligence? It’s hard to miss it.

Seems like the AI buzz is getting louder as more companies face the pressure to improve efficiency and profitability during this roller coaster economy. From Silicon Valley’s tens of thousands of layoffs to Steak ‘n’ Shake closing 30 locations, the heat is on.

Companies vested in the terrestrial radio business have known this pressure for years as we function in a world of single-digit growth and AM radio stations going dark as the real estate is worth more than the FCC license. For the first time, some of the players on the podcast side are feeling the financial heat as the congested podcast world fights for highly competitive ad dollars.

How can AI be a resource in the broadcast radio and podcast ad sales world? Here are two examples of what could be around the corner on your next sales email, Zoom or from the office phone pitch.

— AI audio/phone recognition. Imagine software tracking your phone pitch or Zoom call collecting phrases that identify rate objections, efficiency objections, competitive objections, talent objections, even content objections. Management teams skilled in reviewing the “phrase data” analyze everything from the number of times the objection is raised to the category or tenure of advertiser raising the objection(s). Fast forward to solutions. If your team is made up of multiple sellers with various levels of experience and similar objection(s) appear frequently, management responses and adjustments happen faster, with less stress as the numbers tell the story, not the seller in a confessional. Those adjustments appear in coaching bubbles on your screen as you engage.

— AI shows us the phrase that pays. By now you should know many of the key words and phrases that are sales friendly, grab attention and move you to a close. As well as the opposite – those dreaded turn-off words that turn a warm conversation into stone-cold ghosting. What if the AI software interfaces with your emails? AI could be programmed to identify the key phrases that help close a deal as well as those that are deal busters. I once attended a sales seminar that coached away from using the word “contract.” Not a good takeaway for me. All I could imagine was the legal team slapping their foreheads.

Something tells me the AI software discussed already exists working in the field somewhere helping a sales team become more efficient and crushing the earnings barrier. It’s only a question of when our radio/audio world will be smart enough to adapt the tools for a smarter sales path.

Steve Lapa is the president of Lapcom Communications Corp. based in Palm Beach Gardens, FL. Lapcom is a media sales, marketing, and development consultancy. Contact Steve Lapa via email at: Steve@Lapcomventures.com