New Media Show (Audio)

Should every use of AI in a podcast, video, or creator workflow be disclosed?

A better question is whether AI created the actual substance of what the audience came to hear or watch.

On Episode 670 of the New Media Show, Rob Greenlee is joined by Alberto Betella, co-founder of RSS.com and creator of “Should I Disclose AI?“ 

Is a timely conversation about AI transparency, synthetic media, voice cloning, human trust, and the future of creator-led media.

AI is now helping creators edit video, create captions, translate episodes, generate clips, improve workflows, personalize advertising, and accelerate production. But AI can also generate entire shows, clone voices, imitate experts, create deceptive media, and overwhelm platforms with low-effort content.

The challenge is not simply whether AI was used.

The challenge is understanding when AI use changes what the audience is actually receiving.

Alberto shares his practical “Substance Test” framework for AI disclosure. The central idea is simple: if AI created the core performance, information, expertise, or experience that brought the audience to the content, creators should disclose it. But using AI as a supporting production tool does not necessarily mean the entire episode should be labeled as AI-generated.

Rob and Alberto explore the difficult gray areas: AI-translated episodes, cloned voices reading human-written scripts, AI-written scripts read by humans, platform auto-labeling, watermarking, creator consent, programmatic advertising, AI search, and the future value of human-made media.

They also discuss why disclosure should not be a punishment or a stigma. Transparency can give audiences more context, help platforms manage risk, and allow creators to use AI responsibly without pretending that every use of AI is deceptive or low quality.

The bigger question is whether creators can use AI to make better work while still protecting the human trust, judgment, originality, and relationships that make media meaningful.

Guest:

Host:

AI Use Note:

Rough Chapter Break Topics:

00:00 Should creators disclose their use of AI?

Guest Links: Alberto Betella

RSS.com: https://rss.com/

Rob Greenlee and New Media Show Links

Rob Greenlee Website: https://robgreenlee.com/

About the Host/Author:

Personal / AI Disclosure Note:

The post What Should Creators Disclose When Using AI? | Alberto Betella, RSS.com #670 first appeared on New Media Show.

In episode 669 of the New Media Show, host Rob Greenlee talks with Rob Walch, VP of Podcaster Relations at Captivate and DAX.

Podcast Hall of Famers Rob Walch and Rob Greenlee discuss one of the biggest pressure points facing creators today: Can human creators grow, monetize, and maintain audience trust as platforms fill with AI-generated podcasts, synthetic video, cloned voices, and automated content channels?

I apologize for the rough audio in this episode. The audio was choppy in the virtual recording, and I did the best I could to improve it.

The conversation begins with a bigger question: Where is the line between useful AI tools and low-effort, fully automated content that weakens trust, damages advertising ROI, and makes it harder for original creators to be discovered and rewarded?

AI can help creators research, edit, translate, caption, clip, and distribute their work more efficiently. But the human perspective, real creative judgment, authentic voice, and trusted audience relationship must remain at the center of the content experience.

Rob Walch shares updates on Captivate, DAX, and the evolving podcast monetization landscape before diving into the rise of mass-produced AI content and the growing use of the term “AI slop.”

Rob Greenlee and Rob Walch discuss why not every use of AI belongs in the same category, why transparency and disclosure matter, and how creators can use AI responsibly without losing the human value that makes their work worth following.

They also explore YouTube’s evolving AI-labeling approach, the future of human-generated content, platform responsibility, advertising risks, Apple HLS video, YouTube’s new focus on audio listening, video-versus-audio strategy, and how AI tools may help independent creators manage a rapidly expanding distribution workload.

The larger takeaway is that creators do not need to choose between being human and using AI. The opportunity is to use AI as a creative and operational assistant while keeping human thinking, trust, judgment, relationships, and original perspective at the core of the work.

00:00 Welcome to New Media Show #669

Guest and Host Links

Guest: Rob Walch

Host: Rob Greenlee

About the Host/Author:

Personal / AI Disclosure Note:

The post Can Human Creators Still Win in an AI-Flooded Media World? | Rob Walch #669 first appeared on New Media Show.

In episode 668 of the New Media Show, host Rob Greenlee talks with Ollie Forsyth, founder of New Economies and New-Media.co, about the fast-changing meaning of “New Media” and why creator-led media is becoming one of the most important shifts in digital publishing, podcasting, video, newsletters, live streaming, and AI-powered content.

The conversation begins with a bigger question: what does “New Media” mean now?

For years, the term New Media has described digital media outside traditional broadcast, print, and cable. But in 2026, the meaning is changing again. New Media is becoming less about a format and more about who the audience trusts, where attention is moving, and how creators are building direct relationships through podcasts, YouTube channels, newsletters, X, Instagram, live shows, private communities, short-form clips, and emerging AI-generated formats.

Ollie shares how New-Media.co started as a mapping project focused on tech newsletters, podcasts, and creator-led media brands, and quickly became a broader signal that a new category is forming. New Media is no longer just a description of online content. It is becoming a business, creator, and distribution category.

Rob and Ollie explore whether podcasting is still its own category or is becoming one lane within a larger New Media ecosystem. Rob brings the long history of podcasting, RSS, video podcasting, Apple Podcasts, YouTube, Spotify, Netflix, and creator platforms into the discussion, asking whether the word “podcast” is still enough to describe what audiences now consume.

A major theme in this episode is the difference between audience size and audience value. Ollie argues that creators do not always need massive audiences if they have focused, valuable, trusted communities. A show with 5,000 highly relevant listeners or viewers can be more valuable than a much larger audience that does not convert or engage.

The discussion also moves into traditional media and why legacy media companies may struggle to adapt to this new creator-led environment. Ollie says the difference is not just production quality. It is the vibe, the trust, the format, and the feeling that audiences are getting access to something more direct and less institutional.

Rob and Ollie also talk about how X, Instagram, YouTube, newsletters, and short-form clips are becoming the new media distribution stack. YouTube remains central for video and long-form discovery, while X and Instagram are becoming powerful platforms for attention and conversation for creators and media brands.

The final part of the episode turns to AI-generated content, synthetic media, AI micro-dramas, AI-generated podcasts, disclosure, and audience trust. Rob raises the tension around the term “AI slop” and whether the podcast industry is reacting differently to bad AI content than it has historically reacted to bad human-created content.

Ollie argues that AI can help create new forms of content, but it cannot replace the human element, charisma, taste, and trust that make a real show work.

This episode lands on a core New Media Show idea: podcasting helped build the foundation of today’s creator-led media world, but the next era is broader, more video-driven, more AI-assisted, more platform-diverse, and more dependent on human trust than ever before.

Key Topics:

Chapter Markers:

00:00 Welcome to New Media Show #668

Guest and Host Links

Guest: Ollie Forsyth

Host: Rob Greenlee

About the Host/Author:

Personal / AI Disclosure Note:

The post Is New Media Replacing the Creator Economy? | Ollie Forsyth #668 first appeared on New Media Show.

In episode 667 of the New Media Show, hosted by 2017 Podcast Hall of Famer Rob Greenlee, Rob talks with  Shalini Ananda, Ph.D., Founder and CEO of Neuron Systems, about how real-time AI is changing live sports media, fan engagement, creator workflows, and the future of interactive content.

This episode starts with sports, but it becomes a broader New Media conversation about the next-generation layer of interaction between humans and AI-generated media infrastructure.

Neuron Systems is building a multi-agent AI platform for live sports content, including NBA and FIFA World Cup 2026 debates, video clips, quote cards, viral social media scripts, real-time voice commentary, fan-driven questions, and multilingual interaction.

Rob and Shalini discuss how custom roles given to AI agents can become part of a new interactive media experience in which fans do more than just watch or listen. They can ask questions, shape debates, co-sign takes, create clips, and interact with AI-powered sports personalities in real time.

Shalini also walks through how Neuron Systems works as a creator platform. Fans can join live huddles, talk with AI agents, follow different AI personalities, participate in faction-style engagement, and use higher-level creator tools to build agents, automate content pipelines, and connect content workflows to platforms like YouTube.

The conversation also explores what this means beyond sports, including podcasting, live video, audience participation, AI-generated content, labeling, guardrails, trust, and the future of human-AI collaboration.

Rob frames the larger question this way: if podcasting and digital media have long wanted deeper audience interaction, is real-time AI becoming the infrastructure layer that finally makes that possible at scale?

Key Topics Timestamps:

Guest and Show Links

Shalini Ananda, Ph.D., Founder and CEO of Neuron Systems

Host Rob Greenlee and Show Links:

New Media Show: https://newmediashow.com/

About the Host/Author:

Personal/AI Disclosure Note: I used AI tools to help organize and edit this episode and generate show notes. I have made hand edits; the views, clarifications, responsibility, and industry perspective are mine and my guest’s. I have been working in podcasting and platform adoption for more than two decades, and this article reflects my own position.

The post Real-Time AI Is Changing Live Sports Media | Shalini Ananda, Ph.D. #667 first appeared on New Media Show.

In episode 666 of the New Media Show, hosted by 2017 Podcast Hall of Famer Rob Greenlee, Rob talks with Greg Wasserman, Head of Relationships at RSS.com and host of Podcast Network Insights, for a deep conversation about one of the biggest questions facing podcasting, video, creator media, and digital networks right now:

Podcast networks were originally built for an audio-first industry, but audiences have already moved the definition of a podcast beyond audio. Today, a podcast can be a YouTube show, a Spotify video, an Apple video podcast, a livestream, a short clip, a newsletter, a community, or part of a larger creator-led media brand.

Greg brings a unique perspective from his work at RSS.com and from interviewing the leaders behind podcast networks, collectives, production companies, and niche media groups on Podcast Network Insights. He explains that podcast networks are no longer one simple model. Some are media-sales businesses. Some are community-driven groups. Some operate more like production companies, collectives, or full creator networks.

Rob and Greg explore how the network model is shifting as video, live streaming, AI, Apple Podcasts, HLS video, YouTube, Netflix, Spotify, FAST channels, private communities, and creator monetization reshape what podcasting can become.

The conversation also asks whether independent podcasters should join networks, what creators need to understand before making that decision, and why the future may depend less on downloads alone and more on trust, audience relationships, collaboration, niche value, and direct monetization.

00:00 Welcome to New Media Show #666

Guest: Greg Wasserman

Head of Relationships at RSS.com and host of Podcast Network Insights

Host: Rob Greenlee

About the Host/Author:

Personal/AI Disclosure Note: I used AI tools to help organize and edit this episode and generate show notes. I have made hand edits; the views, clarifications, responsibility, and industry perspective are mine and my guest’s. I have been working in podcasting and platform adoption for more than two decades, and this article reflects my own position.

The post Are Podcast Networks becoming Creator Networks? | Greg Wasserman #666 first appeared on New Media Show.

In episode 665 of the New Media Show, hosted by 2017 Podcast Hall of Famer Rob Greenlee, Rob talks with Ashley Christenson, also known as Ashni, for a deep conversation about one of the most important questions facing podcasting, streaming, creator media, startups, and traditional media right now:

What does “New Media” actually mean today?

The term “New Media” has been around since the late 1990s, but its meaning is shifting again. What once described digital media outside traditional broadcast and print is now being used by creators, VCs, startups, streaming strategists, AI companies, and professional communities to refer to something more specific: creator-led media that builds trust, influence, industry position, and direct audience relationships.

Ashley brings a unique perspective from 13 years in online media, Twitch streaming, YouTube education, startup marketing, community building, and creator strategy. She explains that she sees the creator economy as building an audience as the asset, whereas the emerging version of New Media is more about building status and position within an industry conversation. In her view, the key difference is not simply between consumer and professional audiences, but about what the media operation is designed to build and protect.

Rob brings the longer history of podcasting and digital media into the discussion, asking whether podcasting was one of the first major expressions of New Media and whether it now sits within a much larger creator-led ecosystem. The conversation explores how podcasting, YouTube, streaming video, newsletters, live shows, X, AI-generated content, and Apple Podcasts’ move toward HLS video streaming are all blurring the old lines between podcasting, creator media, and professional media.

A major theme in this episode is whether podcasting is still its own category or has become a powerful format within the broader New Media industry. Rob argues that the word “podcast” is increasingly defined by audiences and platforms, while creators may need to think more broadly as show builders, media operators, and participants in the creator economy.

Ashley and Rob also explore how X is becoming a real-time professional media layer, why founders, investors, executives, and AI builders are returning to the platform, and why companies are experimenting with live streaming, clipping, launch videos, short-form content, and creator-style formats to reach professional audiences.

The episode also moves into AI-generated media, human-hosted content, AI clones, disclosure, and trust. Rob argues that human-created and AI-created content may both need clear labeling, while Ashley points out that long-form podcasts may remain more defensible because listeners often build real relationships with hosts over time.

This conversation lands on a bigger media reality: New Media is no longer just a technology term. It is becoming a business category, a creator category, a trust category, and a professional influence category. Podcasting helped build the foundation, but the next version of New Media is broader, more video-driven, more AI-assisted, more platform-diverse, and more dependent on trust than ever before.

Key Topics:

Chapter Markers:

00:00 Cold Open and Welcome

Guest: Ashley Christenson / Ashni

Host: Rob Greenlee

About the Host/Author:

Personal/AI Disclosure Note: I used AI tools to help organize and edit this episode and generate show notes. I have many hand edits; the views, clarifications, responsibility, and industry perspective are mine and my guests’. I have been working in podcasting and platform adoption for more than two decades, and this article reflects my own position. The original word choice was mine, and so is the clarification.

The post What Is New Media Now vs Podcasting? | Ashley Christenson / @Ashni #665 first appeared on New Media Show.

AI use with creators is moving beyond simple tools for transcripts, show notes, image generation, and editing.

In this episode 664 of the New Media Show, host Rob Greenlee, 2017 Podcast Hall of Famer, talks with Mike Russell, founder of CreatorMagic.ai and longtime audio producer behind Music Radio Creative, about how new media creators, podcasters, and video producers can begin building their own “AI creator employee.”

Mike explains how AI agents are becoming active collaborators capable of controlling studio lighting, camera settings, thumbnails, content workflows, research, WordPress optimization, and production tasks.

The conversation explores the shift from podcasting as an audio-first medium to a broader video-first creator economy, where YouTube, Apple Podcasts HLS video, AI workflows, and agentic automation are reshaping how content is made, distributed, measured, and monetized.

Rob and Mike also dig into the tension between human-created and AI-assisted media, why “taste” still matters, how creators can avoid generic AI slop, and why the next competitive advantage may come from combining human judgment with powerful AI systems.

What happens when AI stops being just a tool and starts acting like a real creative team member?

Rob Greenlee and Mike Russell explore how AI agents, video-first media, and creator workflows are changing podcasting, YouTube, and the future of new media.

Topic Chapters:

00:00, Welcome to New Media Show #664 with Mike Russell

Host: Rob Greenlee

Guest: Mike Russell, Founder of Creator Magic AI

About the Host/Author:

Personal/AI Disclosure Note: I used AI tools to help organize and edit this episode and generate show notes. I have many hand edits; the views, clarifications, responsibility, and industry perspective are mine and my guests’. I have been working in podcasting and platform adoption for more than two decades, and this article reflects my own position. The original word choice was mine, and so is the clarification.

The post How Creators Are Using AI Agents to Work Smarter | Mike Russell #664 first appeared on New Media Show.

In episode 663 of the New Media Show, hosted by 2017 Podcast Hall of Famer Rob Greenlee, Rob talks with Jeanine Wright, CEO of Inception Point AI, and Robert Scoble, known as Scobleizer, Founder of AlignedNews.ai for a deep conversation about one of the biggest and most uncomfortable questions facing podcasting, video, social media, and the creator economy: what happens when AI-generated content stops sounding and looking artificial? 

I apologize for the lower audio quality of this episode, which was affected by recording source errors, and I used the best audio enhancement tools to improve it.

AI-generated media is no longer just an experiment. It is becoming shows, hosts, voices, personalities, clips, channels, avatars, and soon, live interactive media experiences.

Podcasting has always been built around voice, trust, authenticity, and human connection. But that foundation is now being challenged by AI-generated voices, cloned likenesses, synthetic video, autonomous podcasters, and AI systems that can research, write, produce, publish, and personalize content at a scale human creators cannot match.

The conversation explores whether the podcasting/new media industry is reacting too broadly by labeling AI-generated media as “AI slop” while missing the bigger shift beneath the surface.

Some AI content is low quality, deceptive, or spammy. Some AI content is becoming polished, useful, creative, and scalable. Some human-created content is also low quality, misleading, or poorly produced.

The real issue may not be whether content is human-made or AI-made.

The better question may be whether it is transparent, authentically-human, accurate, consent-based, valuable, and trustworthy.

Jeanine joins Rob to discuss what Inception Point AI is building with AI-generated personalities, autonomous creators, synthetic audio, video characters, quality control systems, and AI-native media workflows. She explains why the future may include AI podcasters, AI influencers, AI brand personalities, and AI-generated shows that serve audiences in ways traditional human production cannot easily support.

Robert brings a broader technology lens to the conversation, connecting AI-generated media to agents, real-time news systems, spatial computing, glasses, robots, synthetic people, and the next phase of human-computer interaction. He also discusses his own work using AI systems to read large volumes of AI industry activity and turn that into new forms of media intelligence.

The conversation asks whether “AI slop” is a useful label or is becoming a way to dismiss an entire category before quality, ethics, and trust systems have had time to mature.

Rob, Jeanine, and Robert also dig into the complicated issue of AI disclosure.

The episode also explores the darker side of synthetic media, including unauthorized voice cloning, fake likenesses, impersonation, fraud, deceptive content, misinformation, platform abuse, and AI bias. The discussion makes a clear distinction between ethical AI-generated media and synthetic media designed to mislead audiences.

This is not a simple pro-AI or anti-AI conversation. It is a discussion about the future of media trust.

The bigger question is whether podcasting and new media should reject AI-generated content outright or help build better standards around disclosure, quality, consent, ownership, monetization, brand safety, platform rules, and audience transparency.

The future may not be human versus AI.

It may be human plus AI, human extended by AI, AI personalities supervised by humans, and audiences deciding what they trust based on usefulness, quality, transparency, and connection.

Key Topics Covered

Guest: Jeanine Wright, CEO of Inception Point AI 

Guest: Robert Scoble, Scobleizer

Host: Rob Greenlee

About the Author

Personal note: I used AI tools to help organize and edit this episode and generate show notes. I have many hand edits; the views, clarifications, responsibility, and industry perspective are mine and my guests’. I have been working in podcasting and platform adoption for more than two decades, and this article reflects my own position. The original word choice was mine, and so is the clarification.

The post When AI Content Stops Looking and Sounding Artificial | Jeanine Wright + Robert Scoble #663 first appeared on New Media Show.

In episode 662 from May 6th, 2026, of the New Media Show, hosted by 2017 Podcast Hall of Famer Rob Greenlee, he talks with Imran Ahmed, founder of Great Pods, for a deep conversation about one of podcasting’s longest-running controversies: Discovery.

Podcasting has never had a shortage of content. The bigger challenge has always been helping listeners find the right shows and helping quality creators get noticed.

Imran joins Rob to discuss how Great Pods is building a podcast discovery and decision-making platform around critic reviews, ratings, attribution, podcast search, user reviews, badges, and curated discovery.

The conversation explores why reviews differ from basic listener comments, why constructive criticism can help creators, and how professional critics can serve as trusted filters for listeners trying to decide what to hear next.

Rob and Imran also dig into the broader evolution of podcasting, including the role of word-of-mouth discovery, the limits of podcast app charts, the rise of YouTube as a major discovery platform, and the ongoing tension around what defines a podcast in a world of audio, video, RSS feeds, platform exclusives, APIs, Netflix-style talk shows, and AI-generated content.

The episode also connects Great Pods to larger trust and transparency issues in new media. As AI-generated shows, algorithmic recommendations, and platform-controlled discovery continue to grow.

Rob and Imran discuss why human editorial judgment, clear labeling, attribution, and credible review systems may become even more important for listeners, creators, and platforms.

Key Topics Covered

Guest and Host Links

Guest: Imran Ahmed, Founder of Great Pods

Host: Rob Greenlee

The post Can Human Critics Improve Podcast Discovery? | Imran Ahmed, Great Pods #662 first appeared on New Media Show.

On Episode 661 of The New Media Show, host Rob Greenlee, 2017 Podcast Hall of Fame inductee, Chairperson of the Podcast Hall of Fame, and longtime new media executive, is joined by Dave Jackson, 2018 Podcast Hall of Fame inductee, founder of School of Podcasting, and Head of Podcasting at Podpage.com, for a deep conversation about whether independent podcasters and media creators can still win in today’s rapidly changing creator economy.

This episode centers on a question many creators are quietly asking right now:

Can indie podcasters still grow, monetize, and build trust in a market being reshaped by video, AI, platform control, and professionalized media production?

Rob and Dave discuss the recent combination of Podpage and School of Podcasting, why podcast education matters more than ever, and how websites, email lists, communities, video, RSS, and AI-assisted workflows are becoming essential parts of a creator’s survival strategy. Dave joined Podpage as Head of Podcasting in 2024, and School of Podcasting has been helping creators launch, grow, and monetize podcasts since 2005. 

The conversation also moves into some of the biggest issues facing podcasting and new media in 2026, including AI-generated shows, human voice and video cloning, creator burnout, YouTube’s influence on podcast identity, Apple’s HLS video podcast direction, and why human trust may become the most valuable asset creators have left.

Rob and Dave bring decades of experience to this discussion.

Both have seen podcasting shift through multiple technology waves, from the early RSS era to platform consolidation, video podcasting, AI tools, and the rise of creator-led media. That history makes this episode a practical and honest look at what indie creators need to do now to stay relevant, trusted, and discoverable.

Can independent podcasters still succeed in a noisier, more competitive market?

What does “winning” even mean now: downloads, money, trust, community, authority, or sustainability?

Why the Podpage and School of Podcasting connection matters for podcast education and creator websites

Why podcasters need a home base beyond social platforms and YouTube

How AI is changing show notes, images, writing, research, production, and creator workflows

Why AI-generated content should not all be treated as spam, but fraud and abuse must be addressed

How human storytelling, lived experience, and trust help creators stand apart from AI content

Why video is becoming harder to ignore, but audio-only creators should not panic

How YouTube has changed public perception of what a podcast is

What Apple’s HLS video direction could mean for audio, video, RSS, and creator workflows

Why websites, email lists, communities, and audience ownership still matter

How indie creators can avoid burnout while adapting to new media expectations

Indie podcasters can still win, but the definition of winning has changed.

Creators need more than a microphone and a media host. They need clarity, a trusted point of view, a website, a distribution plan, and a realistic path to audience growth.

AI is not going away. The smartest creators will learn how to use it without losing their human voice.

Video will continue reshaping podcasting, but not every creator has to become a full-scale video studio overnight.

Human-created content still has a powerful advantage when it is rooted in story, experience, transparency, and trust.

Websites are becoming more important again because creators need a stable home base that is not controlled by a single platform.

Podcast education matters because the barrier to starting is low, but the barrier to standing out is much higher.

Dave Jackson

Dave Jackson has been helping creators launch and improve podcasts since 2005 through the School of Podcasting. He is also Head of Podcasting at Podpage, where he supports podcasters using websites as a central hub for discovery, audience ownership, and long-term growth. (The School of Podcasting)

Guest links:

Rob Greenlee

Host and show links:

Bottom Line in this Episode:

This episode answers a major creator economy question for 2026: Can indie podcasters and independent media creators still compete as podcasting becomes more professional, more video-driven, and more influenced by AI?

Rob Greenlee and Dave Jackson explain why the answer is yes, but only if creators evolve. The winning indie creator now needs a clear purpose, a strong human voice, trusted expertise, a discoverable website, owned audience channels, thoughtful use of AI, and a strategy that works across audio, video, search, social, and community.

The episode is especially useful for podcasters, YouTube creators, podcast consultants, media educators, creator economy leaders, podcast hosting companies, AI media startups, and independent showrunners trying to understand the next phase of podcasting and new media.

The post Can Indie Podcasters and Media Creators Still Win? | Dave Jackson #661 first appeared on New Media Show.