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In New Media Show #690, Host Rob Greenlee, Podcast Hall of Famer and Founder of TrustFactorLab.com, joins Laura Burkhauser, CEO of Descript (https://www.descript.com), to explore how AI is changing the way creators edit, produce, and share their work.

As AI takes on more production tasks, what becomes more valuable about the human creator? Laura and I discuss creative direction, storytelling, authenticity, audience trust, and the role of tools such as Descript’s Underlord. The conversation also looks beyond editing to the business of creating media and the pressure to show up across more platforms.

From Editing to Creative Direction

We start with a question many creators are facing: is editing becoming more like directing?

Laura distinguishes between people whose craft is editing and people whose craft is the story they want to tell. Both can benefit from AI, but they may want very different levels of control.

For an editor, the small decisions are part of the art.

For a storyteller, editing may be the obstacle between recording an idea and sharing it with an audience.  We discuss why a clear creative vision still matters.

Asking AI to edit a podcast can produce a usable result, but communicating a specific perspective, reviewing its choices, and refining the work are what help a creator make something distinctive.

Let AI Handle the Friction

Laura’s approach to AI starts with understanding what creators actually want help doing.

Creators want relief from repetitive production work while keeping their voice, vision, and story. Laura describes Descript’s philosophy as “struggle with your art, not with your tools.”

That leads to a discussion about the promises AI companies make and the trust they can lose when those promises overlook how creative work happens.

Rob Greenlee shares his experience moving from assembling radio shows by hand to using Descript in my current workflow. We explore how creators can choose the right balance of manual editing and AI assistance for the content they want to make.

Authenticity and the Choices Behind an Edit

Does editing make a conversation less authentic? Laura argues that thoughtful editing can bring its meaning into sharper focus.

A reaction shot or a well-timed close-up can help an audience understand the emotion in a conversation. The question is whether an edit serves what happened between the people involved.

We also talk about the difference between being authentic and performing authenticity online. Showing up as yourself can build connection, but it can also leave creators exposed to criticism.

Laura explains why a recognizable human presence and community engagement matter to her.

Rob connects that discussion to my work with Trust Factor Lab and the challenge of building trust as more synthetic media enters the mix is the growing opportunity.

Start Creating Before Expecting a Business

Laura was a Descript customer before she joined the company. Editing a podcast with a friend showed her she could put her own humor and perspective into the world without mastering a complicated production tool.

Her practical advice is to begin by recording something.

The opportunity is to talk about a problem you understand, a subject you care about, or an issue you can explore with another person. Then edit it, share it, and keep going long enough to learn from the experience.

We discuss how the expectation of immediate revenue can get in the way of the authentic creator process.

Creating media can support a business even when the media itself is not the product. For coaches, consultants, founders, and other professionals, a video or podcast can show their expertise and help start a relationship that leads to work.

Community, Revenue, and Reaching the Right People

Our business discussion moves into audience support, Patreon, and sponsorship opportunities.  

Laura points to community support as one possible path for working creators. We also explore why a business serving a specific audience may be a better sponsorship prospect than a broad advertising buyer.

Local businesses and companies serving a particular interest give us examples to consider.

The discussion focuses on understanding your audience, what they care about, and which relationships could create value.

We also look at why more companies are building their own media operations and why creators feel pressure to produce both long-form conversations and short clips.

Algorithms and What Comes Next for Descript

Laura describes being intentional about her own media consumption, including turning off YouTube recommendations. I share how I use both subscriptions and algorithmic discovery.

A broader conversation starts about personalization.

Laura argues that the goals given to an algorithm matter. A system rewarded for attention does not automatically distinguish between an experience that helps someone and one that keeps them engaged through anger or distrust.

We close with Laura’s BIG Direction for Descript:

Helping creators across more of their content workflow, including identifying the subjects they want to own, building a library of useful material, publishing across platforms, and learning from what works. Laura describes that as a direction for future development as creators manage growing demands on their time.

Key takeaways:

AI can make production easier, but your perspective still gives people a reason to listen. Use the tools to reduce friction, make deliberate creative choices, and invest in the relationships that give your work lasting value.

Key topics

– AI editing, Underlord, and the changing creator workflow
– The difference between editing as a craft and editing as a production task
– Creative direction, specific prompts, and human judgment
– Reducing repetitive work while preserving a creator’s voice
– Authenticity, thoughtful editing, and audience trust
– Getting started without expecting immediate monetization
– Using media to support a coaching, consulting, or founder-led business
– Community support, Patreon, and targeted sponsorships
– YouTube discovery, subscriptions, and personalization
– Descript’s direction beyond editing into broader content workflows

Chapter timestamps

– 00:00 AI workflows and the value of the human creator
– 02:00 Meet Descript CEO Laura Burkhauser
– 03:00 Is editing becoming directing?
– 05:00 When storytelling is the creator’s main craft
– 07:00 Creative vision and directing AI
– 10:00 Standing out through your voice and perspective
– 12:00 AI promises, creator trust, and tool friction
– 14:00 From manual production to AI-assisted editing
– 16:00 Authenticity and the role of a good editor
– 18:00 What does it mean to be authentic online?
– 21:00 Technology, human needs, and useful AI
– 24:00 Trust Factor Lab and finding a balance with AI
– 26:00 Laura’s experience as a Descript customer
– 28:00 Record, edit, share, and build confidence
– 30:00 Does pressure to monetize hold creators back?
– 32:00 Content as a way to grow a business
– 35:00 Community support and creator revenue
– 36:00 Local businesses and targeted sponsorships
– 39:00 YouTube recommendations and intentional viewing
– 42:00 Personalization, engagement, and human outcomes
– 46:00 What comes next for Descript
– 48:00 Closing thoughts

Guest Laura Burkhauser

Laura Burkhauser is CEO of Descript. In this conversation, she shares her perspective as a technology leader, a humanist, and a former Descript customer who discovered the creative possibilities of editing her own podcast.

– Descript: https://www.descript.com
– Descript Underlord: https://www.descript.com/underlord
– Laura Burkhauser on the Descript blog: https://www.descript.com/blog/author/laura-burkhauser

Host Rob Greenlee

Rob Greenlee is the founder/builder of Trust Factor Lab (https://TrustFactorLab.com), host of New Media Show, and a 2017 Podcast Hall of Fame inductee and Chair. His work connects podcasting, video, creator platforms, audience trust, and the media business.

– New Media Show: https://newmediashow.com/
– New Media Show on YouTube: https://youtube.com/@TheNewMediaShow
– Rob Greenlee: https://robgreenlee.com/
– Rob Greenlee on LinkedIn: https://www.linkedin.com/in/robgreenlee
– Podcast Hall of Fame: https://podcasthall.com
– Adore Network Audio: https://www.adorenetwork.com/show/new-media-show-audio
– Adore Network Video: https://www.adorenetwork.com/show/new-media-show-video
– Apple Podcasts Audio: https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
– Apple Podcasts Video: https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI disclosure

AI tools helped organize and draft these show notes from the completed Episode #690 transcript. Rob Greenlee and guest retain all editorial responsibility. The New Media Show is human-hosted with human guests. AI is used for light editing of the actual audio and video media files.

The post How AI Is Changing the Creator Workflow | Descript CEO Laura Burkhauser #690 first appeared on New Media Show.

In New Media Show #689, I’m joined by Jim Louderback, publisher of Inside the Creator Economy and former CEO of VidCon and Revision3, to explore what the next phase of the creator economy means for people building media businesses.

Jim and I have lived through several shifts at the intersection of media and technology. This conversation connects the early days of video podcasting with today’s AI tools, changing audience habits, and the search for a lasting creator business. More ways to create and distribute content bring opportunity, but they also raise questions about attention, ownership, and trust.

Digital Jim and the Human Premium

We start with Digital Jim, the AI version of Jim that turns his human-written newsletter into short videos.

Jim explains how the team at Popcorn uses his words, an AI voice, and a visual avatar to help him reach audiences on LinkedIn, TikTok, Instagram, and YouTube Shorts. He still writes the newsletter and reviews the videos before sharing them.

That experiment leads to one of the episode’s central ideas: the human premium.

Jim’s hypothesis is that, as audiences encounter more AI-generated media, they may place greater value on recognizable human voices, imperfect conversations, and experiences with real people. We discuss what that could mean for audience relationships, advertising, and in-person events.

Podcasting in a Bigger Creator Economy

We revisit Revision3, Diggnation, and the early use of short clips to introduce people to longer shows. Video podcasting and distributing a conversation in several formats have a longer history than today’s debate sometimes acknowledges.

Jim describes an audio-plus approach: people can listen when that suits them, while video creates another way to discover and experience a show. We also discuss why creators spread their work across platforms, how short-form awareness differs from monetization, and the risks of depending on one platform’s rules.

Could Personalized AI Media Disrupt YouTube

Our platform conversation moves from Netflix’s interest in creator programming to a bigger question:

What could disrupt YouTube? Jim suggests that a major technological shift, rather than another similar video service, could open the door.  His audience-of-one idea goes beyond recommending existing videos. We explore the possibility of media generated specifically for an individual, along with what Jim calls robo-social relationships with AI characters that respond to and remember their users.

We debate these predictions, including how they might compete for time people currently spend with human creators.

Your Identity and Archive Have Value

We discuss the business value of a creator’s name, image, likeness, voice, and archive. I share my experience exploring Royall.ai and receiving inquiries about using past New Media Show conversations as AI training material.

That raises questions about guest permission, licensing, tracking use, and maintaining control over future uses of a creator’s work.

Jim also describes an audio watermarking approach he has encountered, while acknowledging that he has not independently established how well it works. The discussion is about taking identity and content rights seriously as new business models emerge.

Live Shopping and the Next Media Business

Jim explains what he wants readers to get from Inside the Creator Economy: timely reporting, his interpretation of the news, and ideas they can question. We talk about the differences between email subscribers, LinkedIn newsletter subscribers, and the audience numbers platforms report.

We then explore global creator markets, Whatnot, live shopping, and the role of personality and audience participation in commerce.

TBPN’s combination of a live show, a focused audience, and widely distributed clips gives us another example to examine. We close with local AI tools and a practical encouragement from Jim: keep experimenting.

My key takeaways:

Use these tools to expand what you can create, while giving people a reason to connect with you. Your ideas, judgment, and relationships shape the value of the media business you build.

Key topics

• How Digital Jim turns a human-written newsletter into AI video
• The human premium and the value of real audience relationships
• Video podcasting’s history and an audio-plus approach
• Multi-platform distribution, short clips, and platform dependence
• Netflix, YouTube, and media generated for an audience of one
• Robo-social relationships and competition for audience attention
• Creator identity, archive licensing, AI training, and permission
• Newsletter measurement, global creator markets, and live shopping
• Whatnot, TBPN, and building a focused media business
• Local AI tools, creative judgment, and continued experimentation

Chapter timestamps

• 00:00 Welcome to New Media Show 689, and the creator reset
• 01:00 Meet Jim Louderback and watch Digital Jim
• 03:00 How Popcorn produces Jim’s AI newsletter videos
• 06:00 Bringing podcasting and the creator economy together
• 10:00 Audio plus video and reaching audiences in more formats
• 13:00 Multi-platform distribution and creator business risk
• 17:00 The human premium in an AI media world
• 24:00 Younger creators and the changing meaning of podcasting
• 27:00 AI visuals and turning audio into video experiences
• 30:00 Netflix and the value of creator programming
• 32:00 What could disrupt YouTube
• 34:00 Personalized media and the audience of one
• 37:00 Robo-social relationships and AI companions
• 43:00 Human creativity and the limits of average content
• 44:00 Royall.ai and capturing a creator’s digital identity
• 47:00 Archive licensing, AI training data, and guest permission
• 49:00 Watermarking, content control, and future use
• 53:00 Inside the Creator Economy and newsletter measurement
• 57:00 Global creator markets and live shopping
• 58:00 Whatnot, collectibles, and audience participation
• 01:02:00 TBPN, live shows, and the power of distributed clips
• 01:06:00 AI platforms, local models, and new media tools
• 01:08:00 Keep experimenting and closing thoughts

Guest Jim Louderback

Jim Louderback publishes the weekly Inside the Creator Economy newsletter and produces, curates, and moderates creator events around the world. He is the former CEO of VidCon and Revision3, and his career also includes leadership and editorial roles at Discovery Digital Networks, TechTV, and PC Magazine.

• Jim Louderback: https://louderback.com/
• About Jim: https://louderback.com/about/
• Inside the Creator Economy archive: https://louderback.com/blog/
• Subscribe to Inside the Creator Economy: https://louderback.com/subscribe-to-my-weekly-newsletter/

Host Rob Greenlee

Rob Greenlee is the founder of Trust Factor Lab, host of New Media Show, and a 2017 Podcast Hall of Fame inductee and Chair. His work connects podcasting, video, creator platforms, audience trust, and the media business.

• New Media Show: https://newmediashow.com/
• New Media Show on YouTube: https://youtube.com/@TheNewMediaShow
• Rob Greenlee: https://robgreenlee.com/
• Rob Greenlee on LinkedIn: https://www.linkedin.com/in/robgreenlee
• Podcast Hall of Fame: https://podcasthall.com/
• Adore Network Audio: https://www.adorenetwork.com/show/new-media-show-audio
• Adore Network Video: https://www.adorenetwork.com/show/new-media-show-video
• Apple Podcasts Audio: https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
• Apple Podcasts Video: https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI disclosure

AI tools helped organize and draft these show notes from the completed Episode #689 transcript and edited the full show. Rob Greenlee retains editorial responsibility. The New Media Show is human-hosted with human guests; this episode also includes a disclosed AI-generated Digital Jim video demonstration.

The post The Creator Reset: AI, Trust and What Comes Next | Jim Louderback #689 first appeared on New Media Show.

Your podcast can be available everywhere and still be hard to find. So who controls its future: the creator, the audience, or the platform?

In New Media Show #688, Rob Greenlee welcomes back James Cridland, Editor of Podnews, co-host of the Podnews Weekly Review, and a 2026 Podcast Hall of Fame inductee, for a conversation about what Podcast Week in New York City revealed about our industry.

We compare notes on the IAB Podcast Upfronts, CreatorFronts, and a very different NYC Podcast Movement. James also shares his experience at the Sounds Profitable Business Summit.

The week had plenty of energy, but it also exposed real differences in how creators, platforms, and advertisers see podcasting’s future.

Podcast Movement’s Terminal 5 venue brought challenges around meetings, exhibitor space, and crowding.

James argues that the headphone-based sessions worked better than expected. We also reflect on Tom Webster’s tribute to Todd Cochrane and why the industry still needs people willing to speak up when something is wrong.

Podcasting has expanded its distribution. That doesn’t mean it controls where people discover shows.

Sounds Profitable: Tom Webster’s presentation leads us into YouTube, Spotify, and Netflix, where podcasts compete with much more than other podcasts. James Cridland also cautions against confusing whether someone has ever used a platform with where they regularly listen.

A major part of our conversation is measuring media consumption.

James challenges the IAB’s approach to audio and video, while making another important point: tearing down the download without a workable replacement can undermine the business we already have.

James offers a proposal worth discussing: share advertising revenue with podcast apps that provide useful consumption data.

James argues that apps need a financial reason to invest in discovery and better listening experiences. I raise the concern about taking revenue from creators, and we explore whether growing listening could make that trade worthwhile.

Rob and James also discuss open RSS, HLS video, and Podcasting 2.0 as ways to expand access. That includes discovery built around places and local interests, along with AI production tools that help humans make better content.

Adding video should not make the audio listener a second-class audience. The conversation still needs to work when someone cannot see the screen.

The question is how we keep podcasting open to a wide range of voices while competing in a much bigger media world. More reach matters. So do audience trust, creator choice, and a business that can sustain the work.

Key Topics

– Podcast Week NYC: the business summit, upfronts, CreatorFronts, and Podcast Movement
– Remembering Todd Cochrane and the value of speaking up
– Platform discovery versus open podcast distribution
– Audio and video measurement, advertiser trust, and the download
– James’s proposal to share revenue with podcast apps
– Netflix, YouTube, and rising video production expectations
– Open RSS, HLS, and location-based podcast discovery
– AI production assistance and respecting the audio listener

Guest: James Cridland

Editor of Podnews, co-host of the Podnews Weekly Review, and 2026 Podcast Hall of Fame inductee.

– Podnews Daily Newsletter and Podcast: https://podnews.net
– Podnews Weekly Review: https://weekly.podnews.net

Host: Rob Greenlee

– New Media Show on YouTube: https://youtube.com/@TheNewMediaShow
– Rob Greenlee: https://robgreenlee.com
– Rob Greenlee on LinkedIn: https://www.linkedin.com/in/robgreenlee
– Podcast Hall of Fame Inductee & Chair: https://podcasthall.com
– New Media Show: https://NewMediaShow.com
– Adore Network Audio: https://www.adorenetwork.com/show/new-media-show-audio
– Adore Network Video: https://www.adorenetwork.com/show/new-media-show-video
– Apple Podcasts Audio: https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
– Apple Podcasts Video: https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI Disclosure

AI tools helped organize and draft these show notes from the completed Episode #688 transcript, and I hand-edited for clarity and accuracy. The conversation and perspectives are human-led, and Rob Greenlee retains editorial responsibility. The New Media Show is human-hosted with human guests.

The post Podcasting’s Identity Crisis: Who Controls Podcasts Now? | James Cridland #688 first appeared on New Media Show.

Getting views, streams, and downloads is not the same as building a business. Subscribers aren’t automatically customers, and a successful YouTube channel doesn’t necessarily mean you have built something sustainable.

In New Media Show #687, Podcast Hall of Famer Rob Greenlee talks with Creator, Educator, Author, and Entrepreneur Roberto Blake, founder of Awesome Creator Academy, about what comes after becoming a content creator and why more creators need to think of themselves as independent media companies rather than defining themselves by one format or platform.

Roberto argues that being a podcaster, YouTuber, streamer, or blogger is increasingly just a distribution choice. The bigger issue is the value you create, the audience relationship you build, and what you actually own.

We get into the shift from audio-first thinking to broader creator media, why professionalism is more about preparation and performance than polished production, and how AI is changing the economics of being a creator.

Roberto sees some of the strongest uses of AI in the operational work around content, including research, data analysis, transcription, organization, editing workflows, and other tasks that can free creators to spend more time on judgment, ideas, and relationships.

A major part of the conversation is about turning attention into a real business.

Roberto describes his framework as “reach, reputation, revenue,” or in a business context, “traffic, trust, transaction.” Getting attention is only the beginning. The real value comes from earning trust and then creating products, services, memberships, intellectual property, or other business models around that relationship.

We also talk about what creators should own. That includes their brand, intellectual property, expertise, direct audience relationships, and the parts of the business that can survive changes at YouTube, Spotify, Apple, or any other platform.

Roberto breaks creator businesses into three broad paths: entertainer, lifestyle brand, and thought leader, with different revenue and growth opportunities for each.

The conversation goes much deeper into AI, human creativity, likeness rights, AI labeling, and synthetic AI media.

Why Roberto believes the bigger risk isn’t simply AI-generated entertainment, but the potential misuse of synthetic media by institutions or people trying to manipulate audiences.

The larger point is simple:

Creators should stop thinking only about the next piece of content and start thinking about what they are building around it.

Key Topics:
– Moving from content creator to independent media company
– Why podcasting, YouTube, and streaming are becoming distribution choices
– Audio-first versus audio-only thinking
– Professionalism versus production polish
– Using AI for creator operations, research, editing, and workflow
– Reach, reputation, and revenue
– Traffic, trust, and transaction
– Building direct audience relationships
– Owning your brand, expertise, and intellectual property
– Entertainer, lifestyle brand, and thought-leader business models
– Building revenue beyond platform advertising
– Why taste and personality may become more important as AI lowers the skill barrier
– Human authenticity and real-world connection
– AI likeness, voice cloning, and long-term IP value
– AI labeling and the risks of treating every use of AI the same way
– Awesome Creator Academy and Roberto’s approach to creator growth

Guest: Roberto Blake
Creator, entrepreneur, educator, and founder of Awesome Creator Academy

Roberto Blake
https://robertoblake.com

Awesome Creator Academy
https://www.awesomecreatoracademy.com

YouTube
https://www.youtube.com/@robertoblake

Host: Rob Greenlee

• New Media Show on YouTube
  https://youtube.com/@TheNewMediaShow
• Rob Greenlee
  https://robgreenlee.com
• Rob Greenlee on LinkedIn
  https://www.linkedin.com/in/robgreenlee
• Podcast Hall of Fame
  https://podcasthall.com
• New Media Show
  https://NewMediaShow.com
• Adore Network Audio
  https://www.adorenetwork.com/show/new-media-show-audio/
• Adore Network Video
  https://www.adorenetwork.com/show/new-media-show-video/
• Apple Podcasts Audio
  https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
• Apple Podcasts Video
  https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI Disclosure

AI tools helped organize and edit this episode and create the above show notes from the completed Episode #687 transcript. The conversation, perspectives, editorial direction, and final editing were performed, and responsibility for the episode remains human-led. The New Media Show is human-hosted.

The post Don’t Just Make Videos: Build a Creator Media Company | Roberto Blake #687 first appeared on New Media Show.

Podcast media creator publishers may already have more revenue opportunity than they realize. The challenge is not always finding more listeners. It can be understanding what inventory is actually available to sell, what to sell, whether campaigns will deliver, and where revenue is being lost.

In this episode #686 of the New Media Show, Rob Greenlee talks with Sean Howard, CEO and co-founder of Flightpath.fm, about the growing complexity behind new media podcast advertising and why better forecasting, campaign management, publisher data, and revenue optimization are becoming more important.

Sean explains how Flightpath grew out of a problem he experienced from both sides of the business. As an ad buyer, he found that publishers often did not know how much inventory they really had available. As a publisher, he saw the same problem from the other side: uncertainty about whether sold campaigns would actually deliver. Flightpath was built to bring those pieces together through traffic management, prediction, pacing, and cross-platform revenue visibility.

The conversation also gets into dynamic ad insertion and the value of the podcast back catalog. Sean argues that publishers relying too heavily on baked-in ads may be leaving significant revenue on the table because listeners keep consuming older episodes long after release.

Rob and Sean also discuss a larger issue facing content creator publishers today: platform dependence.

As podcast companies expand across multiple hosting platforms, YouTube, Spotify, video, HLS, and other distribution systems, publishers need better access to their own data and a clearer understanding of the business risk that comes with relying too heavily on any one platform.

The bigger question is whether the next stage of media and podcast revenue growth may come not only from finding more audience, but from better understanding and monetizing the audience publishers already have.

Discussion Highlights
– Hidden revenue in existing podcast inventory
– Why forecasting and campaign delivery remain difficult
– Dynamic ad insertion and back-catalog monetization
– Frequency capping, pacing, and ad performance
– Publisher ownership and access to data
– Platform risk and using multiple hosting platforms
– YouTube, Spotify, HLS, and video monetization
– AI and revenue optimization
– Flightpath’s role as a publisher intelligence and traffic management layer
– Why better data can help sales and operations make better decisions

Key Topic Timestamps:
00:00 Hidden revenue opportunities publishers may already have
01:00 Sean Howard and what Flightpath does
03:00 Why Flightpath was built around forecasting and campaign delivery
05:00 Fragmented platforms and the growing complexity of monetization
07:30 HLS, open standards, and the return of video podcasting
11:00 Audio and video advertising collide
12:30 Using publisher data to identify campaign and platform problems
15:00 Why publishers need access to their own data
17:00 Dynamic ad insertion and the untapped value of the back catalog
19:00 Spotify, YouTube, and changing control over ad inventory
21:00 Choosing a hosting platform is becoming a business risk decision
23:00 Why publishers may need to work across multiple platforms
26:00 Measuring hosting platform performance and revenue impact
27:30 Publisher autonomy and Flightpath’s platform strategy review
31:00 Forecasting, pacing, and Flightpath’s Revenue Optimizer
35:30 Where AI fits into forecasting and sales recommendations
38:00 Podcast platforms evolving into intelligence and decision systems
39:00 Using publisher data with AI and LLMs
43:00 Advertising, subscriptions, Spotify, and YouTube
44:00 Apple video, Spotify, and the HLS opportunity
46:00 Podcasting becomes a more professional media business
48:00 Why publishers need an independent intelligence layer
50:00 Who Flightpath is built for
53:00 Flightpath onboarding and supported platform integrations
55:00 Closing thoughts and where to learn more

Guest
Sean Howard
CEO and Co-Founder, Flightpath
https://flightpath.fm
https://www.linkedin.com/in/seanhoward

Host
Rob Greenlee

• Rob Greenlee Website: https://RobGreenlee.com

Listen and Watch

• New Media Show
  https://NewMediaShow.com
• Adore Network Audio
  https://www.adorenetwork.com/show/new-media-show-audio/
• Adore Network Video
  https://www.adorenetwork.com/show/new-media-show-video/
• Apple Podcasts Audio
  https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
• Apple Podcasts Video
  https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI Disclosure

AI tools helped organize and edit this episode and create the above show notes from the completed Episode #686 transcript. The conversation, perspectives, editorial direction, and final editing were performed, and responsibility for the episode remains human-led. The New Media Show is human-hosted.

The post Hidden Revenue: What Media Publishers Are Leaving Behind | Sean Howard, Flightpath #686 first appeared on New Media Show.

One year ago today, on September 8, 2025, we lost Todd Cochrane.

Todd was my longtime co-host on the New Media Show, a podcast builder from the medium’s earliest days, and one of its strongest advocates for independent creators, open RSS, ownership, and direct connection with audiences.

Looking back on these conversations, what stands out most is how consistently Todd fought for what he believed mattered. He never forgot why podcasting was different in the first place: it removed barriers, gave creators more control, and made it possible to build real communities without asking gatekeepers for permission.

He also understood that none of it came easy. Todd often talked about “sweat equity,” doing the work, building something from the ground up, and earning an audience’s trust over time. That was who he was.

What makes this video especially difficult to watch is the ending. In what became his final New Media Show appearance, Todd signed off the way he always did, expecting there would be another episode:

“We’ll see you next time.”

I wish there had been a next time.

Todd’s voice, his ideas, and the impact he had on podcasting are still very much part of the conversation.

Remembering my friend and New Media Show co-host Todd Cochrane today.

June 4, 1964 – September 8, 2025

More remembrances of Todd Cochrane:

New Media Show: Remembering Todd Cochrane, Podcast Hall of Famer and Blubrry CEO

A special New Media Show episode with Adam Curry, Mike Dell, Rob Walch, and me remembering Todd’s life, personality, career, advocacy for independent podcasting, and his impact on the medium.

New Media Show remembrance
https://newmediashow.com/2025/09/

Podnews: Obituary: Todd Cochrane

James Cridland and I worked together on this obituary covering Todd’s life, Navy career, Geek News Central, Blubrry, open RSS advocacy, the Podcast Awards, New Media Show, and his wider impact on podcasting.

Read the Podnews obituary: 
https://podnews.net/article/todd-cochrane-obituary

Blubrry Podcasting: Blubrry Founder Todd Cochrane: In Memoriam

The company Todd founded remembered him as the heart of the Blubrry community and said it is committed to continuing his mission of supporting podcasters and independent creators.

Read Blubrry’s remembrance
https://blubrry.com/podcast-insider/2025/09/09/blubrry-founder-todd-cochrane-in-memoriam/

Geek News Central: Geek News Central Mourns the Loss of Todd Cochrane

Todd’s longtime show and publication remembered its founder, host, and driving force, as well as his impact on technology, podcasting, and the people around him.

Read the Geek News Central remembrance
https://geeknewscentral.com/2025/09/09/geek-news-central-mourns-the-loss-of-todd-cochrane/

Podcast Movement: In Memory of Todd Cochrane

Dan Franks reflected on Todd’s early support of Podcast Movement, his willingness to challenge the industry, and his commitment to independent podcasters.

Read the Podcast Movement tribute: 
https://weekly.podcastmovement.com/p/in-memory-of-todd-cochrane

Sounds Profitable: Remembering Todd Cochrane

Tom Webster shared a personal remembrance of Todd, including how Geek News Central was the first podcast he listened to nearly two decades earlier and how Todd’s belief in creators shaped both his work and his business.

Read Tom Webster’s remembrance: 
https://soundsprofitable.com/article/remembering-todd-cochrane/

Podnews Weekly Review: Remembering Todd Cochrane

James Cridland and Sam Sethi looked back on Todd’s career and included material from an earlier conversation with him about how he began podcasting in 2004 and what the medium meant to him.

Listen to the Podnews Weekly Review remembrance: 
https://weekly.podnews.net/1538779/episodes/17833228-remembering-todd-cochrane-and-apple-testing-new-chapters

PodBiz: When Independent Voices Shape an Industry: Remembering Todd Cochrane

Recorded before Todd’s passing, this conversation captures him in his own words as he discusses monetization, independent creators, audience trust, and why serving listeners has to come before chasing revenue.

Listen to the PodBiz episode
https://shows.acast.com/podbiz/episodes/remembering-todd-cochrane

podCast411: Todd Cochrane Interview from March 2005 Remastered

Rob Walch remastered his original March 2005 interview with Todd, offering a rare chance to hear Todd near the very beginning of the podcasting era.

Listen to the remastered 2005 interview
https://www.iheart.com/podcast/263-podcast411-learn-about-pod-27564388/episode/411-item-0022b-todd-cochrane-294330497/

podCast411: Memorial to Todd Cochrane on New Media Show

Rob Walch also shared the New Media Show memorial conversation with his podCast411 audience.

Listen to the podCast411 memorial feed drop
https://www.iheart.com/podcast/263-podcast411-learn-about-pod-27564388/episode/memorial-to-todd-cochrane-on-new-294330496/

Podcaster News: Remembering Site Founder Todd Cochrane

The site Todd founded remembered his drive, fearlessness, generosity, and desire to help other people succeed.

Todd Robert Cochrane obituary

Todd’s family obituary provides the personal record of his life, including his Michigan roots, 22 years of Navy service, family, technology interests, and the people he left behind.

Read Todd’s obituary: 
https://www.tributearchive.com/obituaries/45326462/todd-robert-cochrane

The New Media Show continues today with Todd very much a part of its foundation. The conversations have changed, the industry continues to evolve, and there are still plenty of things I know Todd and I would be debating.

I still miss having him on the other side of that conversation.

 

The post Remembering Todd Cochrane, One Year Later first appeared on New Media Show.

As AI makes it easier to create more content, human relationships may become more valuable, not less. 

In Episode #685 of the New Media Show, host and Podcast Hall of Famer Rob Greenlee talks with Alex Sanfilippo, founder of PodMatch and host of Podcasting Made Simple, about why relationships between hosts, guests, audiences, collaborators, and communities are becoming an increasingly important part of podcast growth.

The conversation explores podcast guesting, better host-guest matching, AI-assisted workflows, audio and video podcasting, RSS and HLS, creator-owned communities, and why direct audience relationships matter as large platforms gain more control over discovery and monetization.

Human Connection Wins

Alex built PodMatch around a simple problem: podcast hosts could find guests, but finding the “right guest” and managing all the administrative work surrounding an interview took an enormous amount of time.

The goal is to automate the work around the conversation without automating the human connection itself.

Rob and Alex discuss why great podcast conversations create relationships that can continue long after an episode is published.

Better Guests, Better Conversations

A strong podcast guest should arrive ready to lead with value, not simply promote a book, company, or product.

Rob and Alex discuss why:

– Every interview should feel different
– Guests should bring something new to each conversation
– Hosts need to listen rather than simply read questions
– Generic AI-generated pitches are easy to recognize
– Guest and show alignment matters more than volume
– Meaningful conversations are more likely to be shared

Alex also explains how PodMatch is using AI to improve host-guest alignment while reducing research and administrative work.

Audio, Video and the Changing Podcast

The conversation expands into the growing convergence between podcasting and YouTube.

Alex remains audio and RSS-focused but believes podcasting and YouTube are increasingly influencing each other. Podcasting brings depth and long-form conversation while YouTube brings visual discovery and engagement.

Rob and Alex also discuss the HLS video format, alternative enclosures, separate audio and video feeds, and why the current publishing ecosystem can still feel unnecessarily complicated for creators.

Build Relationships You Own

As major platforms change algorithms, monetization rules, and distribution policies, creators have another reason to develop direct relationships with their audiences.

Newsletters, private communities, memberships, events, collaborations, and other owned audience pathways can turn large platforms into discovery and recruiting channels rather than the entire creator business.

Alex sees this community layer becoming an increasingly important part of PodMatch.

Discussion Highlights

– Why human connection becomes more valuable as content expands
– How PodMatch matches podcast hosts and guests
– Solo, co-hosted, and interview podcast formats
– Podcasting versus YouTube content strategies
– RSS, HLS, audio and video podcast distribution
– What defines a podcast in 2026?
– Why guests should lead with value
– Creating unique conversations instead of repeating talking points
– Why generic AI podcast pitches fail
– Using AI to improve guest-host alignment
– Podcast collaborations, review swaps, and podrolls
– Building creator-owned communities
– Turning platforms into audience acquisition channels
– Why trusted relationships may be the creator’s strongest long-term asset

Chapter Markers

00:00 When content becomes unlimited, human connection becomes scarce
01:45 Introducing Alex Sanfilippo and PodMatch
03:25 Why podcast conversations matter
07:10 Guests, co-hosts, and solo podcast formats
13:05 Podcasting meets YouTube
17:00 Finding the platform where your audience lives
20:25 Audio, video, RSS, and HLS complexity
27:25 What is a podcast now?
30:05 Why podcast guests need to lead with value
33:00 Every interview should be different
35:20 Listening creates better conversations
38:15 Why unique interviews get shared
41:15 The problem with AI-generated podcast pitches
44:20 Finding real guest-show alignment
48:45 Why Alex has become more selective about guesting
50:40 Using AI for PodMatch alignment
54:35 Podcast collaborations, reviews, and podrolls
57:15 Podcast relationships become communities
58:45 Building audiences beyond rented platforms
01:03:00 Creating relationships with your true fans
01:05:15 Community and the future of PodMatch
01:06:20 Where to connect with Alex
01:07:00 Closing thoughts

About Alex Sanfilippo

Alex Sanfilippo is the founder of PodMatch, a platform that connects podcast hosts and guests while streamlining the administrative work around podcast interviews.

He also hosts Podcasting Made Simple, where he helps independent podcast hosts and guests grow their influence, audiences, and businesses.

Guest Links

• PodMatch
  https://podmatch.com
• Alex’s free podcast host and guest resources
  https://podmatch.com/free
• Podcasting Made Simple
  https://podmatch.com/episodes

About the Host

Rob Greenlee is a 2017 Podcast Hall of Fame inductee, Chair of the Podcast Hall of Fame, Founder of Trust Factor Lab, and longtime new-media executive, creator, strategist, and industry leader.

Listen and Watch

• New Media Show
  https://NewMediaShow.com
• Adore Network Audio
  https://www.adorenetwork.com/show/new-media-show-audio/
• Adore Network Video
  https://www.adorenetwork.com/show/new-media-show-video/
• Apple Podcasts Audio
  https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
• Apple Podcasts Video
  https://podcasts.apple.com/us/podcast/new-media-show-video/id392545647

AI Disclosure

AI tools helped organize and edit this episode and create the above show notes from the completed Episode #685 transcript. The conversation, perspectives, editorial direction, and final editing and responsibility for the episode remain human-led. The New Media Show is human-hosted.

The post Human Audience Growth in the AI Era | Alex Sanfilippo #685 first appeared on New Media Show.

AI can now reproduce a person’s face, voice, movement, and likeness with increasing realism.

The bigger question is becoming: Who gets to control that identity, authorize its use, and potentially get paid when it has commercial value?

In Episode #684 of the New Media Show,  Host Rob Greenlee talks with Anne Kavanagh, co-founder of Royall.ai, about building a new permission and licensing layer around human identity.

The conversation is not about stopping or being anti-AI. It is about establishing something that has largely been missing: proof and authorization before use.

Your Identity Becomes an Asset You Control

Royall.ai is developing what Anne describes as a biometric vault where people can register elements of their identity, including voice, face, likeness, and body motion.

Those assets can be fingerprinted and watermarked, creating the foundation for detecting use, approving or rejecting it, and potentially licensing it commercially.

That changes the discussion from simply asking whether AI can clone someone to asking whether the person actually gave permission.

A creator could potentially say:

• Use my voice for this campaign, but only for six months.
• Allow my likeness to be used to train this model, but pay me.
• Do not use my identity for this purpose at all.
• The central principle is simple: You own you.

Protection and Opportunity

The same technology designed to identify unauthorized use could also create legitimate new markets for human identity.

Anne describes a future where AI companies, studios, agencies, platforms, and brands could license verified human data rather than simply collecting material from the public internet.

Creators could choose whether their voice, face, movement, or content can be used for AI training and receive compensation when they opt in.

This becomes especially important as synthetic media becomes indistinguishable from human media. Rob also raises another possibility: as AI-generated content becomes abundant, verified or certified human-created content may itself become more valuable.

Podcast Archives Create Another Rights Problem

The discussion gets particularly relevant to podcasting. A podcast owner may control thousands of hours of archived conversations, but that does not necessarily mean the owner has the right to license every guest’s voice for AI training.

Rob explains that the New Media Show archive has previously attracted interest for conversational AI training, but licensing complete conversations would require permission from the guests whose voices appear in them.

Royall.ai is exploring infrastructure that could help identify those participants, request consent, manage permissions, and create licensing transactions across large content libraries.

That could become a significant issue as decades of podcast, video, music, and creator archives become valuable training material.

Discussion Highlights
– Who should control your voice, face, and digital likeness
– Creating a biometric identity vault
– Consent before AI use
– Detecting unauthorized likeness and voice usage
– Licensing human identity for AI training
– Getting creators paid for authorized use
– Deepfakes, scams, and identity theft
– Why trust is critical to biometric infrastructure
– AI disclosure versus AI-assisted creation
– The rise of verified human-created media
– Creator contracts and synthetic likeness rights
– Licensing podcast archives for AI training
– Why guest consent matters
– Royall.ai as an identity and permission API layer

Chapter Timestamp Markers

00:00 Who controls your likeness and voice identity?
03:00 Introducing Anne Kavanagh and Royall.ai
07:00 How the idea behind Royall.ai developed
09:00 Verified identity, authorization and licensing
10:00 Creating a biometric vault for voice, face and motion
18:00 Detection, reporting and takedown tools
20:00 Opting into AI training and getting paid
24:00 Building a training-grade voice model
28:00 Identity protection becomes an economic opportunity
34:00 Why this is a human issue, not just a creator issue
38:00 Deepfakes, students, scams and identity theft
40:00 The trust challenge of storing biometric identity
43:00 Building a registrar for human identity and likeness
45:00 Royall.ai as part of the technology stack
48:00 The principle: You own you
53:00 AI tools, disclosure and audience trust
59:00 Could certified human content become premium?
01:02:00 Synthetic podcast hosts and transparency
01:04:00 Creator contracts and consent for AI training
01:05:00 Licensing podcast archives and guest voices
01:08:00 Who controls your existing content libraries?
01:11:00 How Royall.ai early access works
01:14:00 Public images, copyright and identity ownership

Anne Kavanagh Guest Links

Royall.ai is currently onboarding users through an early-access process, with registration, fingerprinting, watermarking, detection capabilities, and enterprise/API integrations discussed toward the end of the episode.

Royall.ai
https://royall.ai

Host, Rob Greenlee and Show Links

New Media Show
https://newmediashow.com

New Media Show on YouTube
https://youtube.com/@TheNewMediaShow

Rob Greenlee
https://robgreenlee.com

Rob Greenlee on LinkedIn
https://www.linkedin.com/in/robgreenlee

Podcast Hall of Fame
https://podcasthall.com

AI Disclosure

AI tools helped organize and edit the episode to remove filler words; this description was created from the completed full transcript of episode #684. The recorded conversation, human performances, perspectives, editorial direction, and final responsibility for the episode remain with Rob Greenlee and Anne Kavanagh. The New Media Show is human-hosted.

The post Own Your Identity: Who Controls Your Voice, and Likeness? | Anne Kavanagh, Royall.ai #684 first appeared on New Media Show.

Podcasting has one advantage that much of digital media struggles to maintain: trust.

In Episode #683 of the New Media Show, Rob Greenlee talks with Mike Kadin, CEO and co-founder of RedCircle.  What does that trust mean for podcast advertising as AI, video, HLS, YouTube, Spotify, and changing audience behavior reshape the business?

Long-form shows create a different relationship between creators and audiences than short-form social content. That relationship has always been one of the reasons host-read podcast advertising can work so well.

But what happens when AI can recreate the host’s voice?

Mike makes an important distinction. The value of a host-read ad is not simply hearing a familiar voice. It comes from the host’s language, personality, experience, humor, and actual judgment about the product. RedCircle does not use AI-generated versions of creators to perform host-read advertising.

Mike believes cloning the host’s voice without the actual human endorsement could undermine the very trust that makes the advertising valuable.

Authentic Host Reads Still Matter

Rob and Mike talk about the difference between reading advertising copy and genuinely recommending something a creator has used.

RedCircle has seen similar shows, with similar audience sizes, run by the same advertiser and using the same talking points, produce very different results. One of the biggest differences can be the quality and believability of the host read.

That also puts responsibility on creators to work with products they can credibly talk about.

Mike explains that RedCircle will sometimes hear from a creator who tried a sponsor’s product and did not like it.

Rather than force an endorsement, the company can take that feedback back to the advertiser and cancel the spot. That kind of process helps protect the relationship between the creator and audience.

Using AI to Find Better Brand Matches

Mike also talks about a newer RedCircle capability called Show IQ.

Over the years of running campaigns, RedCircle has accumulated information on its creators’ interests and brand affinities, as well as historical campaign performance. Show IQ uses that information to help identify creators who may be a natural fit for a particular advertiser.

This is an example of AI being used behind the scenes to improve the match rather than replacing the human doing the endorsement. The goal is to put advertisers with creators who can actually speak credibly about their products.

Spotify, YouTube and Control of Podcast Monetization

The conversation shifts to the growing influence of large consumption platforms. Spotify is experimenting with ways for listeners to move past advertising more easily. YouTube has already offered similar jump-ahead behavior around portions of videos that viewers commonly skip.

Mike does not see this as some unexpected attack on podcasting. Spotify and YouTube have built massive distribution platforms and naturally want to control more of the economics that happen inside them.

For creators, diversification becomes increasingly important.

A creator can use YouTube, Spotify, Apple Podcasts, and other platforms for distribution, but should also keep building direct relationships through websites, newsletters, subscriptions, and communities. No single distribution platform can be expected to always put the creator’s interests first.

RedCircle Is Moving Into Video

RedCircle has also started expanding beyond its traditional audio focus. Creators can now upload video through RedCircle and send it to YouTube, an expansion of its earlier audio-to-YouTube tools.

Mike says YouTube was the obvious first priority because that is where the largest existing video audience is today. RedCircle is also watching Spotify video, Apple Podcasts video, and HLS as podcasting becomes increasingly multi-format. The advertising systems will eventually need to evolve along with the content.

HLS Creates New Advertising Questions

A significant part of the conversation focuses on HLS and Apple’s new video-podcast approach in this episode.

Podcast advertising has traditionally been built around audio downloads. The video introduces a much more complex environment.

An Apple Podcasts episode may still automatically download its audio before the listener ever presses play.

If that listener later watches the video version, the advertising decision may already have been made. That makes traditional real-time programmatic video advertising harder to apply to podcast video.

For now, audio advertising may become a common advertising format, whether someone is listening or watching. That works technically, but it is not necessarily the best video experience.

Rob and Mike discuss the need for a new type of podcast video advertising that works whether someone hears the ad, watches it, or moves between both experiences.

Audio and Video Are Converging, But Not Cleanly

Rob raises a question he is dealing with directly on the New Media Show. Should a show have one combined audio-video experience, or should creators continue producing separate audio versions?

The New Media Show has distributed separate audio and video feeds for years. HLS makes it easier to move between listening and viewing, but that convergence can also lead to compromises.

Great video production does not automatically guarantee the best audio experience. The reverse is also true. Mike agrees there is a reasonable argument for preserving more flexibility between the two formats.

Measurement Is Getting Harder

Podcast measurement was already complicated.

Now creators may have traditional podcast downloads, Spotify streams, YouTube views, Apple video consumption, social views, and various advertising impressions.

Those numbers do not all mean the same thing. That creates an operational problem for creators trying to sell advertising and for brands trying to understand what they purchased. Mike believes technology needs to simplify this increasingly fragmented environment.

Mike compares it to the music industry, where tools were developed to distribute music and aggregate results across many different services. Creator media increasingly needs the same kind of cross-platform infrastructure.

What Is a Podcast Now? The episode also returns to a question the New Media Show has discussed for years.

What exactly is a podcast? Mike admits he has two answers.

As a longtime software engineer and RSS believer,  Mike still thinks of a podcast as episodic media distributed through RSS.

As the CEO of a podcast technology and advertising company, he sees younger people entering the business who do not know what RSS is and think of a podcast as the kind of long-form conversational content they see on YouTube.

At some point, audience behavior begins defining the medium.

Rob and Mike also discuss industry efforts such as the AMP work around definitions and measurement.

Mike supports efforts to build standards but says they only become truly meaningful if the major platforms where people actually consume podcasts implement them.

Where Podcasting Goes Next

Mike believes the industry has to follow audience behavior. Creators are becoming multi-channel because audiences already are.

Audio, video, YouTube, Spotify, Apple Podcasts, RSS apps, and social platforms are increasingly parts of the same creator-media business. The opportunity is to build better tools that allow creators to distribute, monetize, and measure it all without having to manage the complexity themselves.

HLS is one part of that transition.

The larger change is podcasting becoming a much broader medium for audio and video creators while trying to preserve the trust that made it valuable in the first place.

Discussion Highlights:

– Why long-form podcasting creates deeper audience trust
– Why authentic host reads still perform
– AI-generated advertising and creator voice cloning
– Why RedCircle does not use synthetic host reads
– RedCircle Show IQ and better creator-brand matching
– Dynamic versus baked-in podcast advertising
– Spotify and YouTube gaining more monetization control
– Why creators need direct audience relationships
– RedCircle’s move into video
– Why YouTube was its first video priority
– HLS and podcast video advertising
– Audio versus video ad creative
– Separate audio and video podcast experiences
– Cross-platform measurement problems
– Alternate enclosures and adoption
– What defines a podcast now
– The need for meaningful industry standards
– The future of multi-channel podcast monetization

Chapter Timestamp Markers

00:00 Podcasting, trust and long-form media
01:00 Introducing Mike Kadin of RedCircle
02:00 Why trust matters in podcast advertising
03:20 AI-generated ads and audience trust
06:10 Why RedCircle avoids cloned host reads
09:00 Authentic creator endorsements
11:00 Why some host reads outperform others
12:20 RedCircle Show IQ
14:00 The future of host-read advertising
15:30 Dynamic versus baked-in ads
17:20 Spotify and ad skipping
21:00 YouTube and platform control
22:20 Creators need direct audience relationships
24:00 RedCircle moves further into video
26:30 HLS and podcast video advertising
31:00 Opportunities for video host-read advertising
33:00 Ads that work in audio and video
36:30 Separate audio and video feeds
40:00 The fragmented consumption experience
42:00 Podcast measurement gets more complicated
44:30 HLS and alternate enclosures
47:20 What is a podcast now?
52:00 Standards and the major platforms
54:00 Measuring advertising by performance
56:00 The multi-channel future of podcasting
58:00 Closing thoughts

Mike Kadin Guest Links

RedCircle: https://redcircle.com

Host and Show Links

New Media Show
https://newmediashow.com

New Media Show on YouTube
https://youtube.com/@TheNewMediaShow

Rob Greenlee
https://robgreenlee.com

Rob Greenlee on LinkedIn
https://www.linkedin.com/in/robgreenlee

Podcast Hall of Fame
https://podcasthall.com

AI Disclosure

AI tools were used to assist with organizing and editing to remove filler words; this episode description was created from the completed full transcript of episode #683. The recorded conversation, human performances, perspectives, editorial direction, and final responsibility for the episode remain with Rob Greenlee and Mike Kadin. The New Media Show is human-hosted.

The post Trust, AI and the Future of Podcast Advertising | Mike Kadin, RedCircle #683 first appeared on New Media Show.

When AI content becomes abundant, what becomes scarce?

In Episode #682 of the New Media Show, Host, Rob Greenlee talks with growth and brand strategist Jaymi Bauer. Jaymi is CEO and co-founder of Vaquera Group, creator of Resonance Design, and founder of a new women’s vitality venture called Reign.Care.

She and Rob previously worked together at Microsoft during the Zune and Xbox eras, giving both a long view of how technology continually reshapes media and human behavior.

The conversation is not anti-AI. It is about understanding where AI is powerful and where human creators may still have the advantage.

The Human Signal

Jaymi states that humans feel trust before they intellectually recognize it. We respond to tone, presence, energy, emotion, authenticity, and whether something feels genuine.  AI can increasingly reproduce human language, imagery, voices, and creative patterns, but Jaymi believes audiences will continue seeking something deeper: content rooted in real human experience.

Her advice to creators is simple: Become better at AI while becoming even more human. AI as Amplifier, Not the Source

Rob and Jaymi explore AI as a creative and production layer rather than the original source of meaning.

AI can:

Research faster
Organize ideas
Improve production
Expand visual possibilities
Help creators distribute content
Personalize discovery
Build new interactive experiences

But the strongest output still begins with a strong human seed: an idea, experience, perspective, story, or creative intention.

Jaymi shares her experience of heavily using AI on a book proposal. The result was polished, but she felt it had become hollow and disconnected from her own creative voice. That became a reminder that efficiency does not automatically create resonance.

Why Human Content May Become Premium

As synthetic media becomes harder to distinguish from human-created media, Rob raises the possibility that creators may eventually label content as human-hosted or human-created, rather than simply labeling AI content.

Jaymi believes genuine human interaction may eventually feel more valuable precisely because it becomes less common.

That could increase the value of:

Live conversations
Human-created storytelling
Live music and events
Real relationships
Distinctive personal perspectives
Physical experiences
Trusted communities

The future may not be human versus AI. It may be human creativity amplified by AI.

Creators Need AI Literacy

Jaymi strongly advises creators not to ignore AI. Her view is that creators should learn the tools, experiment with them, understand their limitations, and explore what they make possible. But they also need stronger critical thinking and editorial judgment.

Rob and Jaymi discuss how experienced professionals may have an advantage here because they have lived through multiple cycles in technology, media, business, and the economy.

Knowing when AI is wrong, when to stop refining, what matters, and what audiences actually value may become increasingly important skills.

AI Changes Discovery Too. AI is not only creating content. It is increasingly sitting between creators and audiences.

Rob discusses how platforms such as YouTube use AI to analyze media, understand content, personalize recommendations, and decide who should see what.

That means creators are entering an environment where AI may influence:

Creation
Editing
Distribution
Metadata
Search
Recommendations
Audience targeting
Personalization

The creator still provides the human idea, but AI increasingly shapes how that idea reaches the world.

A More Interactive Media Future

The conversation also explores AI-powered audience participation. Rob describes emerging platforms where synthetic personalities, expert knowledge bases, and human audience members can participate in shared conversations.

Instead of traditional one-way media, future shows could include creators, audiences, and AI agents discussing topics together.

That could make podcasts, livestreams, sports media, education, and communities considerably more interactive.

Discussion Highlights
-What Jaymi means by the “human signal”
-Why trust is often felt before it is understood
-AI-generated media versus human-created media
-Why creators should become “superhuman,” not anti-AI
-AI as a creative amplifier
-The importance of critical thinking and editorial judgment
-Why AI-generated work can feel polished but hollow
-How experienced professionals can work effectively with AI
-AI’s growing role in discovery and recommendation
-Personal LLMs and creator knowledge models
-Human and AI participants inside future media experiences
-Why live and human-created experiences could become premium
-The possibility of labeling media as human-hosted
-Creativity, trust, and relationships as long-term advantages

Chapter Markers

00:00 Why the human signal matters
01:32 Introducing Jaymi Bauer
02:48 What is the human signal?
05:35 Can AI reproduce human connection?
09:15 Staying human while using AI
11:22 Collective AI knowledge versus individual human knowledge
13:30 Why audiences may eventually reject synthetic sameness
16:04 Will AI-generated entertainment satisfy us?
18:35 AI as a new creative tool
21:05 Lessons from Xbox and immersive media
23:10 Why gamers still want human creativity
25:10 How humans remain valuable
26:38 The dystopian side of AI
28:10 Could AI eventually give humans more freedom?
30:05 Creativity as a human advantage
31:15 Why creators need AI literacy
33:15 Becoming “superhuman”
34:25 Jaymi’s AI-generated book proposal mistake
36:00 Using AI as a first draft
37:20 Better prompts start with better human thinking
38:25 When AI becomes inefficient
40:20 Humans as AI tutors and experts
42:15 What happens when AI gains real-world experience?
45:10 Human truth and durable brands
48:10 AI becomes the discovery layer
51:00 Personal LLMs and expert AI models
52:20 AI-powered audience participation
55:00 Humans and AI in the same conversation
57:10 AI companionship and relationships
59:55 Will human-created media become premium?
01:01:05 Hybrid human and AI production
01:03:10 Where to find Jaymi
01:04:00 Jaymi’s new vitality venture
01:05:40 Closing thoughts

Jaymi Bauer Guest Links:

Jaymi Bauer on Substack
https://jaymibauer1.substack.com

“The Human Signal”
https://jaymibauer1.substack.com/p/the-human-signal

Vaquera Group
https://vaquera.co

Reign
https://reign.care

About the Host:  Rob Greenlee is a 2017 Podcast Hall of Fame inductee, Chair of the Podcast Hall of Fame, founder of Trust Factor Lab, and longtime new-media executive, creator, strategist, and industry leader.

Through The New Media Show, Rob explores the changing intersection of podcasting, video, creator-led media, artificial intelligence, platforms, audience ownership, trust, monetization, and the future of human-created media.

Host and Show Links

New Media Show
https://newmediashow.com

New Media Show on YouTube
https://youtube.com/@TheNewMediaShow

Rob Greenlee
https://robgreenlee.com

Rob Greenlee on LinkedIn
https://www.linkedin.com/in/robgreenlee

Podcast Hall of Fame
https://podcasthall.com

AI Disclosure

AI tools were used to assist with organizing and editing to remove filler words; this episode description was created from the completed full transcript of episode #682. The recorded conversation, human performances, perspectives, editorial direction, and final responsibility for the episode remain with Rob Greenlee and Jaymi Bauer. The New Media Show is human-hosted.

The post The Human Signal: What Becomes Valuable in AI Creation Era | Jaymi Bauer #682 first appeared on New Media Show.

In Episode 681 of the New Media Show, host Podcast Hall of Famer Rob Greenlee welcomes Alban Brooke, Head of Marketing at Buzzsprout, for a deep conversation about one of the biggest structural changes in podcasting: the evolution of podcast hosting from audio-file distribution to a broader audio-and-video creator infrastructure.

For most of podcasting’s history, the hosting model was relatively straightforward. A creator uploaded an audio file, the host generated an RSS feed, and that feed distributed the episode to listening apps worldwide.

That podcast hosting model is changing.

Video is once again becoming a significant part of podcasting, and podcast hosting platforms are being asked to do much more than store an MP3 and maintain an RSS feed. They increasingly need to manage video encoding, HLS streaming, direct platform connections, YouTube publishing, Spotify video, Apple Podcasts video, transcripts, analytics, AI-assisted publishing tools, and the traditional audio experience simultaneously.

Buzzsprout, which launched in 2009 as an audio-only podcast host, has now made a major move into video. Alban explains that the turning point was Apple’s decision to support HLS video streaming into Apple Podcasts.

Once Apple committed to HLS, Buzzsprout saw an opportunity to preserve one of podcast hosting’s original promises:

“Upload once and let the hosting platform handle the complexity of getting the show everywhere.”

Buzzsprout’s current video workflow allows creators to upload video and distribute it to Apple Podcasts, Spotify, and YouTube while continuing to deliver audio to traditional podcast apps.

The technology underneath that process, however, has become much more complicated.

A podcast host may now be managing RSS feeds, HLS playlists, multiple video resolutions, platform APIs, direct uploads, audio extraction, transcripts, and the different requirements of Apple, Spotify, YouTube, Amazon, iHeart, and other services.

Alban argues that creators should not have to understand most of that.
If podcast hosting is doing its job properly, the technical complexity should disappear into the infrastructure. Creators should be able to concentrate on making the show.

That leads Rob and Alban into a larger discussion about RSS and what it still represents.

RSS itself is not magical, Alban says. What matters is what RSS enables: a direct and portable connection between creators and their audiences.  A creator using an open podcast feed can switch from one hosting company to another without rebuilding their audience from scratch. The relationship is not entirely controlled by a recommendation algorithm or a single platform.  Alban contrasts this with YouTube and other social platforms, where algorithms ultimately determine how much of a creator’s content reaches subscribers.

A creator can build a large audience on a platform and still experience dramatic changes in reach when the algorithm, product strategy, or monetization model changes.

Podcasting offers something different.

Alban describes media distribution as a spectrum ranging from discovery to delivery. At one end are platforms such as TikTok and YouTube, which are extremely effective at helping users discover content. The platform decides what it believes each person wants to see next.

At the other end are systems such as RSS and email, where the user intentionally subscribes and expects to receive what that creator publishes.

The opportunity for modern creators may be to use both.

YouTube, social video platforms, and algorithmic platforms can enable discovery. RSS can provide reliable delivery and audience portability after that relationship is established.

That combination may become one of podcasting’s greatest advantages.

HLS, RSS and the Future of more Open Video Podcasting

Rob and Alban explore how HLS video could extend those same open-distribution principles into video.

Apple’s implementation currently involves a direct API relationship, but the podcast ecosystem is also experimenting with the alternate enclosure tag in RSS, which can place another media format inside the RSS feed.

Buzzsprout has already experimented with alternate enclosures on selected shows, although Alban explains that the company is approaching broader implementation carefully because video creates dramatically larger bandwidth demands than audio.

A bot downloading thousands of MP3 files is one problem. A bot repeatedly requesting multi-gigabyte video assets is another larger issue.

The larger objective, however, remains open distribution.

Alban believes HLS has the potential to enable multiple podcast applications to support video without forcing creators to confine their entire video audience to a single closed platform.

Can Video Damage the Audio Experience?

The conversation then turns to one of the most important creative questions raised by video podcasting. What happens to audio listeners when the video version becomes the source for both experiences?

Alban shares an example of watching a video podcast on Netflix where George Clooney and the host repeatedly discussed an object visible on camera without ever explaining what it was.

A viewer understood the conversation. An audio listener would have had no idea what they were discussing. That is exactly the kind of problem Alban wants creators to avoid.

His recommendation is that podcasts remain audio-first in their communication, even when video is an important part of the production.

That does not mean ignoring video.

Creators can use cameras, sets, graphics, demonstrations, lighting, and other visual elements. But when something important is happening on screen, the host should provide enough verbal context that the audio listener can still follow the conversation.

Rob raises the other side of the issue.

There is a real difference between producing a video podcast and producing a highly visual YouTube show.

YouTube creators may use graphics, demonstrations, rapid editing, screen captures, text, and visual storytelling that cannot realistically be translated into audio. If every visual element must work perfectly for someone with their eyes closed, video creativity can become constrained.

That may eventually create two related but distinct production approaches: shows built as unified audio/video podcasts and shows designed primarily as visual media.

Why Platforms Want Video

Alban believes the major platforms have obvious reasons for encouraging video.  Video keeps audiences looking at the screen.

YouTube, Spotify, Instagram, TikTok, and other platforms benefit when users remain inside their applications, continually moving from one piece of content to the next.

Short-form vertical video takes this even further.

Alban says he deliberately limits his own use of platforms such as TikTok and Instagram Reels because he finds the experience almost too effective at holding attention.

Audio works differently.

A podcast can accompany the listener while running, driving, traveling, cleaning, mowing the lawn, or simply living life.

Alban describes audio as a companion to life, while highly addictive video shorts platforms will increasingly compete to become the dominant activity itself.

We should remain strongly optimistic about audio.

Why Apple’s Move Changed the Market

Rob asks why Apple chose this moment to place renewed emphasis on video, even though video podcasts have technically existed within Apple’s ecosystem for many years.

Alban points to several forces coming together. YouTube has aggressively embraced podcasts and repeatedly highlighted the enormous amount of podcast viewing happening across its platform.

Spotify has expanded its video strategy.

Meanwhile, members of the open podcasting community have spent years exploring HLS as a more practical way of distributing video.

Once Apple embraced HLS, Buzzsprout concluded that the technology had enough platform support to justify a major investment.

Buzzsprout then built its video product around simplifying distribution across Apple Podcasts, Spotify, YouTube, and traditional audio apps.

Why 1080p Video Matters

Buzzsprout also decided to support 1080p video, something Rob sees as increasingly important as podcasts move from phones and laptops onto large television screens. HLS can provide different video streams depending on the device and connection.

A mobile device (phone, pad, or glasses) may not need the same resolution as a large television or large-screen laptop or desktop computer.

But as Apple Podcasts expands onto Apple TV and YouTube continues to report substantial podcast consumption on television screens, creators need source video that looks good in the living room.

Rob and Alban agree that this is another sign that podcast distribution is becoming much broader than that of traditional listening apps.

Audio Is Not Going Away

Despite Buzzsprout’s investment in video, Alban does not believe every podcast needs cameras. Some content is inherently better as audio. Scripted audio, documentary storytelling, intimate conversations, educational programming, and many other formats can deliver everything the audience needs without video.

Alban does not believe audio needs a technological gimmick to survive.
Spatial audio, immersive sound, and advanced codecs can create interesting experiences, but the central power of podcasting remains remarkably simple:

“The human voice and a compelling story.”

Good audio recorded decades ago can still be powerful today because the idea, voice, and storytelling remain meaningful.

Video is therefore additive rather than a replacement for audio.

Is Podcast Hosting Becoming a Commodity?

Rob then challenges Alban with another industry question:

Simply storing a media file is no longer difficult. Most hosting platforms can generate RSS feeds, distribute episodes, and provide common publishing features.

Alban agrees that hosting, narrowly defined as file storage, can look commoditized. But he argues that this misses the bigger job a podcast-hosting company should perform.

Buzzsprout sees its role as helping creators successfully navigate the entire process.

That includes technology, education, human support, distribution, publishing assistance, video, analytics, transcripts, and reducing the emotional and technical friction involved in putting something meaningful into the world. The competitive advantage is not simply storing the file. It is helping the creator succeed.

AI Should Remove Work, Not the Human

That philosophy carries directly into the episode’s discussion about artificial intelligence.

Buzzsprout already uses AI to help creators generate titles, descriptions, social content, blog material, chapter markers, and transcripts. Alban is comfortable with AI handling parts of production that creators may not enjoy. Buzzsprout’s own materials identify its Co-Host AI tools as assisting with publishing tasks, including titles, descriptions, chapters, and supporting content.

What he does not want AI to replace is the reason many people became creators in the first place.

Alban enjoys researching an idea, thinking about it, writing, talking with people, recording conversations, and producing something that reflects human experience.

If AI can clean audio, transcribe the episode, or reduce repetitive production work, that can be useful. 

If it replaces the host, opinion, conversation, or creative process entirely, something important may be lost. Alban compares his preferred relationship with AI to using a calculator.

The technology is valuable. Yet, blindly refusing to use it entirely could be unnecessarily limiting. But just because a technology can perform a task does not mean the creator should hand over every task.

The important question is:

“Which parts of creating matter to you enough that you want to remain the person doing them?”

AI, Disclosure and Audience Trust

The deeper issue is trust.

Alban describes hearing what he believed was an AI-generated host-read advertisement in a podcast he regularly listened to. When he later asked the creator about AI and received a categorical denial of using it, Alban’s confidence in the show changed.

The problem was not simply that AI may have been used.  The problem was the perception that the creator was not being transparent about it.

Rob and Alban agree that disclosure becomes increasingly important as synthetic voices, AI-written scripts, avatars, automated media, and cloned personalities become harder to distinguish from human-created content.

“Rob suggests that the industry may eventually move beyond labeling AI toward verifying or certifying what is human.”

As synthetic AI-generated audio and video content becomes more common, audiences may increasingly value signals showing that a conversation, performance, appearance, or relationship involves real humans.

That could increase the importance of live events, face-to-face meetings, physical communities, concerts, coffee shops, and other experiences where human presence is difficult to fake.

The Return of Offline Experiences

The episode broadens into a discussion about younger generations and technology.

Alban notes that some younger people are becoming interested in non-connected devices, point-and-shoot cameras, film cameras, books, and other technologies that do not constantly demand attention.

Rob sees similar interest developing around discontinued devices such as the Microsoft Zune portable media player devices.

The larger trend may represent a reaction to always-connected life.

Technology gives creators unprecedented reach, but human relationships still develop through attention, responsiveness, shared experiences, and time spent together.

That principle also connects back to podcasting.

Podcasting’s open architecture allows content to flow across applications and devices while maintaining a direct creator-to-audience relationship.

As Alban sees it, the strongest future for podcasting combines the best of both worlds:

“Open delivery through podcasting, algorithmic discovery through larger platforms, video when it adds value, audio when audio is enough, AI where it removes friction, and humans at the center of the creative relationship.”

Topics Covered in This Episode
– Why Buzzsprout moved from audio-only into video podcasting
– Apple HLS video and the turning point for podcast hosts
– Upload-once distribution across Apple, Spotify, YouTube, and audio apps
– Why technical complexity should disappear for creators
– RSS as creator ownership and audience portability
– Discovery versus reliable delivery
– Algorithms compared with open podcast distribution
– Alternate enclosures and open video
– Protecting audio listeners when video is added
– Unified audio/video podcast experiences
– Video podcasts versus highly visual YouTube productions
– Why platforms want creators producing more video
– Short-form video and attention
– Why audio remains a companion medium
– 1080p video and television podcast consumption
– Why audio-only podcasting remains healthy
– Is podcast hosting becoming a commodity?
– Buzzsprout’s creator-support philosophy
– AI-assisted podcast production
– Which parts of creation should remain human
– AI voices, disclosure, and audience trust
– The possibility of verified-human media
– Younger generations and offline technology
– The renewed appeal of disconnected devices
– Open podcasting in the Liquid Content Era

Chapter Timestamp Markers
00:00 Welcome to The New Media Show Episode 681
00:24 Podcast hosting is moving beyond the audio file
01:18 Buzzsprout enters the video podcast era
02:00 Introducing Alban Brooke of Buzzsprout
03:15 What changed Buzzsprout’s thinking about video?
04:01 Why Buzzsprout spent years focused on audio only
04:50 Apple HLS video becomes the turning point
05:33 Upload once and distribute video and audio everywhere
06:00 Podcast distribution becomes technically more complicated
07:00 Why the hosting platform should hide the complexity
09:21 Podcasters increasingly do not know what RSS is
10:53 Why RSS still matters
11:08 RSS, creator control, and platform algorithm risk
13:08 The difference between podcast delivery and discovery
14:35 Using YouTube for discovery and RSS for audience delivery
15:37 HLS brings open distribution principles to video
16:49 Alternative enclosures and open video podcasting
17:18 The bandwidth and bot problem with video
18:04 Rob’s dual audio and video RSS strategy
19:20 The tension between MP4 video and HLS
20:15 What happens when video becomes the source of the audio?
20:52 The Netflix example of a broken audio experience
22:01 Why adding video can unintentionally hurt audio listeners
22:50 Alban’s case for audio-first communication
23:52 Why unified audio, video, and transcripts need to stay in sync
25:04 Video podcasts versus YouTube-first visual shows
26:15 Why platforms keep pushing creators toward video
27:15 The addictive power of short-form vertical video
28:32 Audio as a companion to real life
29:20 Why Apple chose this moment to emphasize video
30:34 The podcast industry’s push toward HLS
31:03 YouTube and Spotify increase competitive pressure
32:00 Why Apple’s HLS implementation changed Buzzsprout’s plans
33:23 Buzzsprout goes all-in on simplified video distribution
34:03 Why Buzzsprout chose 1080p
35:04 Podcast consumption moves onto television screens
35:41 How HLS adapts video quality to different devices
37:09 Apple TV and the big-screen podcast opportunity
38:43 Could HLS eventually replace audio delivery?
39:16 Why Alban believes audio-only podcasting remains strong
40:35 Video audiences can be additive rather than replacements
41:14 Could audio become more immersive?
42:02 Spatial audio and the history of immersive sound
43:03 Why the human voice matters more than audio technology
44:02 Does audio even need to compete with video?
45:33 Video is additive, not the death of audio
46:51 Is podcast hosting becoming a commodity?
48:00 Hosting versus full creator infrastructure
49:03 Removing technical and emotional barriers for creators
50:14 Why human support still differentiates podcast platforms
51:17 Where AI fits into podcast hosting
52:00 Buzzsprout Co-Host AI and production assistance
52:33 Using AI for tasks creators do not enjoy
53:32 Protect the parts of creating you actually love
54:28 Rob’s use of AI in pre-production and post-production
55:04 Why flowing human conversations resist scripting
55:43 The value of unscripted New Media Show conversations
56:27 AI is already capable of strong writing
57:06 Why the act of creation still matters
58:47 Creator attitudes toward AI become increasingly divided
1:00:44 Using AI like a calculator
1:02:09 AI-generated host reads and the trust problem
1:03:27 Why undisclosed AI can damage audience relationships
1:04:26 AI use versus dishonesty about AI use
1:05:17 Will we eventually label human-created content instead of AI-generated content?
1:06:19 Why real-world human experiences may become more valuable
1:07:38 Could “Certified Human” become a media signal?
1:08:20 AI avatars, recruiting fraud, and human verification
1:09:21 Trust can take years to build and minutes to destroy
1:10:35 Finding the middle ground on AI
1:11:07 Where AI saves time without replacing the creator
1:12:08 Preserve the human parts that matter
1:13:03 Generational differences around technology and AI
1:14:11 Gen Alpha, point-and-shoot cameras, and rejecting connectivity
1:15:01 Designing intentional distance from addictive media
1:16:18 The unexpected return of the Microsoft Zune
1:17:12 Books, film cameras, and disconnected technology
1:18:19 Human relationships existed before social platforms
1:19:01 Alban’s relationship with social media
1:20:17 Why offline relationships can matter more
1:21:19 Media creation becomes increasingly fragmented
1:22:00 Podcasting as truly liquid and open content
1:22:34 Closing thoughts with Alban Brooke
1:23:00 Where to find The New Media Show

Guest Links: Alban Brooke, Head of Marketing, Buzzsprout
Buzzsprout: https://www.buzzsprout.com
Buzzsprout Video Podcasting: https://www.buzzsprout.com/features
Buzzcast: https://buzzcast.buzzsprout.com
Alban Brooke on LinkedIn: https://www.linkedin.com/in/albanbrooke
Alban Brooke is Head of Marketing at Buzzsprout and co-host of Buzzcast, where he discusses podcast technology, creator trends, industry developments, and practical strategies for podcasters.

Host, Rob Greenlee, and New Media Show Links

New Media Show: https://newmediashow.com
New Media Show on YouTube: https://youtube.com/@TheNewMediaShow
New Media Show Audio on Apple Podcasts: https://podcasts.apple.com/us/podcast/new-media-show-audio/id392545649
Rob Greenlee Website: https://robgreenlee.com
Rob Greenlee on LinkedIn: https://www.linkedin.com/in/robgreenlee
Rob Greenlee on YouTube: https://youtube.com/@RobGreenlee
Podcast Hall of Fame: https://podcasthall.com

AI Disclosure Note
AI tools were used to create a video and audio introduction clip, episode images, help organize and edit this episode and summarize its description, and create chapter markers from the completed Episode 681 transcript. The recorded conversation, human performances, guest perspectives, editorial direction, final review, and responsibility for the published content remain with actual humans, Rob Greenlee and Alban Brooke.

The post How Podcast Distribution Is Changing | Alban Brooke, Buzzsprout #681 first appeared on New Media Show.