content licensing

The Creator Reset: AI, Trust and What Comes Next | Jim Louderback #689

~ Rob Greenlee ~ Leave a comment

New Media Show with Podcast Hall of Famer Rob Greenlee and Guest: Jim Louderback, Editor of Inside the Creator Economy Newsletter, Former CEO of Vidcon. 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.

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.

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.

Podcast: Play in new window | Download

Subscribe: Apple Podcasts | Android | Podcast Index | RSS

Podcast (audio): Play in new window | Download

Subscribe: Apple Podcasts | Spotify | Android | Podcast Index | RSS

Own Your Identity: Who Controls Your Voice, and Likeness? | Anne Kavanagh, Royall.ai #684

~ Rob Greenlee ~ Leave a comment

New Media Show with Podcast Hall of Famer Rob Greenlee and Guest: Anne Kavanagh, co-founder of Royall.ai, a company working on verified identity, authorization, and licensing pathways for a person’s face, voice, name, and likeness. 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.

Podcast: Play in new window | Download

Subscribe: Apple Podcasts | Android | Podcast Index | RSS

Podcast (audio): Play in new window | Download

Subscribe: Apple Podcasts | Spotify | Android | Podcast Index | RSS