Spotify’s Skip Ahead Test Exposes the Real Creator/Podcast Power Shift

By Rob Greenlee
Founder, Trust Factor Lab | Host, New Media Show | Podcast Hall of Fame Inductee and Chair

Rob Greenlee, 2017 Podcast Hall of Famer, Chair and Host of NewMediaShow.com and Founder of Trust Factor LabListeners have always been able to skip podcast ads. What concerns me about Spotify’s Skip Ahead test is the platform’s decision to identify parts of a show and invite people to bypass them.

That puts Spotify in a position to change the value of a sponsorship without changing the recording, the creator’s ownership, or the agreement with the advertiser.

Podnews reported the test in August 2026. Selected Premium subscribers could use a button to jump past advertising, sponsorship messages, introductions, and promotions. The reporting described a limited test, rather than a permanent rollout. Spotify said it was exploring ways to make podcast listening and viewing more intuitive for Premium subscribers.

I can understand why a paying listener would welcome that convenience. I can also understand why a creator who has spent years building an audience would worry about a platform making the commercial parts of that relationship easier to avoid.

Losh Moodaley makes the case well in her Podnews article, “Spotify, Ad-Skipping, and the Silent Redistribution of Podcast Power.” Her argument goes beyond the fate of one ad feature. It concerns the authority to set the rules under which creators earn a living.

I agree with her. And I think the same question will become more pressing as platforms gain the ability to interpret content, advise creators, and reuse their voices and identities.

What ownership leaves out

Podcasting gives creators something valuable. You can own your recordings, control your brand, publish through an RSS feed, and change hosting providers without asking every listener to subscribe again.

You can have all of that and still depend heavily on a company whose decisions you cannot influence.

A platform decides which shows appear in recommendations. It defines a play or a view, controls access to listening data, and determines which monetization programs are available. Its interface can encourage someone to finish an episode, move to another show, or skip the sponsor.

Owning the recording does not give you control over every part of the business built around it.

James Cridland and I discussed this problem in New Media Show #688, “Podcasting’s Identity Crisis: Who Controls Podcasts Now?” A show can be available across many apps and still struggle to be discovered. Wider distribution does not resolve who controls discovery or what creators can learn about their audiences.

Spotify’s incentives help explain the tension. A subscription business wants people to stay subscribed, spend more time in the app, and feel that Premium is worth paying for. A creator needs the show to earn enough to sustain the work.

Those interests often align. When they diverge, the platform has the ability to change the experience for everyone using it.

YouTube, TikTok, and Meta present versions of the same problem. They offer reach that an independent creator would struggle to build alone. That reach is useful, but it comes with decisions made elsewhere about access, measurement, and payment.

RSS is still worth defending

When Buzzsprout’s Alban Brooke joined me for episode #681, we talked about why RSS still matters as podcast hosting expands into video and more complicated publishing workflows.

The ability to move a show without rebuilding its audience deserves more attention than it gets. It gives creators a choice of providers and keeps delivery from depending entirely on a single company’s database.

But an open feed cannot guarantee that people will find the show, that sponsors will renew, or that the creator will receive useful audience data. RSS protects an important part of the relationship. Creators still have work to do around it.

That work includes a website, an email list people have chosen to join, direct sponsor relationships, and income that does not disappear when one platform changes its terms. Memberships, events, services, products, and licensing will fit different shows differently.

I am careful with the phrase “own your audience.” People are not property. What a creator can build is a trusted relationship and a reliable way to stay in contact with someone who wants to hear from them.

My conversation with Alex Sanfilippo in episode #685 explored how those relationships develop through interviews, collaborations, and communities. The relationship can continue long after the episode that introduced two people.

Moodaley also identifies a group that deserves particular attention: creators in the middle. They have enough audience to support advertising and enough production expense to need it, but often lack the scale to negotiate favorable terms.

A major show may have live events, subscriptions, licensing, and direct brand deals. A hobbyist may have little financial exposure. For the creator between those ends, a change in ad delivery can affect whether the next month’s bills get paid.

That concern also runs through my discussion with Losh in episode #691, “Who Profits From Video?” More views and more production do not automatically add up to a healthier business.

Better sponsorships remain part of the answer. A host should believe in the product, explain why it fits, and respect the listener’s time. Creators can improve that experience. They cannot determine whether an app places a skip button over it.

The decisions behind the interface

Podcast hosting is already moving beyond storing files and maintaining feeds. Providers increasingly help with publishing, transcripts, analysis, and decisions about what to make next.

Skip Ahead illustrates another use for that knowledge. Whether the system relies on markers, metadata, transcripts, or automated analysis, it can identify parts of a show and change how people encounter them.

Similar capabilities could eventually influence ad placement, pricing, recommendations, search visibility, and editing. These are possibilities, not claims about what Spotify’s test currently does.

I want to know who can see the underlying data and whether the creator can take it elsewhere. I also want to know whose interests are reflected in the recommendations. Advice designed to keep people inside an app may differ from advice that helps a creator build a sustainable business.

A platform becomes harder to leave when it controls both access to the audience and the information used to plan the next move.

Useful technology should make the work easier. Creators should be able to understand its recommendations, question them, and change providers without losing everything they have learned.

Your voice is part of the asset

There is another part of this relationship that creators need to take seriously: permission to use their identity.

A show carries a person’s voice, face, performance, expertise, and reputation. Its archive may contain years of conversations and the voices of many guests. As AI makes it easier to analyze, translate, imitate, and repackage that material, the permissions attached to it matter more.

Anne Kavanagh of Royall.ai and I discussed voice and likeness rights in episode #684. One distinction is especially relevant to podcasters: owning a recording does not necessarily give the owner permission to license every guest’s voice for AI training.

I do not believe the price of distribution should be unlimited permission to use a creator’s identity in products that have not yet been developed.

An agreement should make the proposed uses understandable. What is being licensed? Where can it be used, for how long, and at what price? Does permission cover AI training, a synthetic performance, or an edited version? Can the creator inspect the use, end it, or renegotiate when the purpose changes?

These questions have economic consequences. If a company wants continuing access to a creator’s voice, archive, and commercial identity, that creator should have something to negotiate with.

Rights that can be limited, renewed, priced, or withheld give a creator more choices than a complaint after the fact.

One person may have little leverage in a standard contract. Shared licensing standards, rights registries, and collective representation could help creators negotiate clearer terms. Services such as Royall.ai are part of that developing conversation.

Platforms should be able to build useful new products. The people whose identities make those products valuable should have a continuing say in the exchange.

What would survive a platform change?

I would not tell creators to abandon Spotify, YouTube, Apple Podcasts, or other major services. The practical task is to make sure the rest of the business can withstand a change at any one of them.

Keep control of the feed and catalog. Give listeners a way to find you on your own website and hear from you directly. Understand what data can be exported and what happens to the content and permissions when a platform relationship ends.

Look at the whole business, too. Roberto Blake’s perspective in episode #687, “Don’t Just Make Videos: Build a Creator Media Company,” is useful here. A creator can build value in a brand, intellectual property, expertise, and customer relationships that extends beyond the next upload.

The test I would use is straightforward: if a major platform changed a rule tomorrow, could you still reach your audience and earn enough to keep producing? Could you move the catalog, understand performance, and show sponsors why the work matters? Could you limit or renegotiate the use of your identity?

Those answers say more about the strength of the business than a follower count alone.

Spotify’s Skip Ahead test may change, expand, or disappear. The concern it raises will remain. A company can leave creators in possession of their recordings while gaining more influence over what gets heard, how it gets measured, and where the money goes.

Creators should benefit from the reach these services provide. They should also have somewhere else to go, people they can reach directly, and rights they have not signed away.

Rob Greenlee is a longtime new media executive, 2017 Podcast Hall of Fame inductee, Chair, founder of Trust Factor Lab, and host of the New Media Show. His work focuses on podcasting, video, creator-led media, AI, platform power, and the human trust layer of emerging media systems.

AI Disclosure: AI tools assisted with research organization and editing. The thesis, editorial perspective, final judgment, and responsibility for the published version remain Rob Greenlee’s.

Creators Get SBA Classification. Now What? | New Media Show #693

Watch the replay of New Media Show #693, recorded October 28, 2026.

You have built a show, a channel, or an audience. What does it take to turn that work into a business that can last?

In New Media Show episode 693, Rob Greenlee is joined by Avi Gandhi, Chair of Government Advocacy at the Creators Guild of America, for a conversation about SBA creator classification and what that recognition could mean for podcasters, YouTubers, and independent creators.

Watch the full conversation in the YouTube replay above.

Watch the replay on YouTube · Visit New Media Show Live

Podcast Host Platforms are Becoming the New Media Operating Layer

After months of New Media Show conversations with leaders across podcast hosting, creator media, analytics, advertising, video, and AI, a pattern is getting difficult to ignore.

By Rob Greenlee, CEO/Founder, Trust Factor Lab and Trust Creator Community at M3Linked.com, Host of NewMediaShow.com

Rob Greenlee, 2017 Podcast Hall of Famer, Chair and Host of NewMediaShow.com and Founder of Trust Factor LabI have spent more than two decades helping podcast creators of all sizes and hosting platforms like Libsyn, Spreaker, and PodcastOne grow and evolve.

For much of that history, the basic job was straightforward. Store the media file. Generate an RSS feed. Distribute the show. Count the downloads. Keep everything running reliably, and the podcaster was happy.

Creators and media companies are trying to manage a more complicated media landscape in 2026.

A single conversation recording can become a full YouTube episode, an audio podcast, Spotify video, Apple Podcasts video, multiple short clips, social posts, newsletter content, community discussion, advertising inventory, and searchable source material for AI systems.

The show may still begin with a microphone, lights, and potentially a camera.  What happens around that show has become a much larger media operation.  That is why I believe we are in a moving structural change in podcast and creator media technology:

The podcast host platform of old is evolving into a new media-creator operating layer.

And eventually, I believe the most valuable part of that layer may be the intelligence it produces.

This conclusion did not come from watching a single company or a single product launch.

It has become clearer to me through a series of conversations on the New Media Show with people building different parts of this changing market.

They do not all agree on what comes next.  That is precisely what makes the pattern interesting.

We have already outgrown the old definition of hosting

When I spoke with Libsyn CEO Brendan Monaghan on New Media Show Episode 660, we spent considerable time asking what a podcast hosting company should become.

The episode opened with a simple observation:

“Podcast episode hosting used to be simple.”

The conversation quickly moved beyond file storage and RSS into monetization, analytics, video, AI-assisted workflows, distribution, measurement, and audience growth. The episode framed modern hosting as a broader creator-platform problem. (New Media Show Libsyn Interview)

That is significant coming from Libsyn.

Libsyn helped establish the commercial podcast hosting category. I also spent several years there as a VP, so I understand how central reliable hosting, RSS distribution, and measurement have been to the business.

But creators are now asking technology providers to solve problems that barely existed when the hosting category was created.

– How do I publish to multiple video and audio platforms in a single upload?

– How do I understand performance when the audience and counting methods are fragmented?

– How do I make better creative and audience-attraction decisions based on that data?

– How do I monetize across those surfaces and make technology simpler and speed up the process?

– How much of this work can software tools or AI take off your production team’s plate?

– Those are no longer edge questions; they increasingly define the publishing product the market wants and needs.

The audience has stopped caring about delivery methods

One of my favorite observations from Leo Laporte during Episode 672 was captured in the published episode notes:

“Most viewers or listeners do not care how a show is technically delivered.”

They care whether they can find it, whether it is worth their time, and whether they trust the people making it. (New Media Show Interview with Leo Laporte)

The above sounds obvious, but it has enormous implications.

Our industry still spends a great deal of energy defining media through its distribution technology.

People move between YouTube, Apple Podcasts, Spotify, social feeds, streaming television, newsletters and communities. They may encounter the same personality or show in several of those places without giving much thought to the underlying delivery technology.

Leo and I discussed how audio and video are increasingly part of the same overall media experience while measurement remains fragmented between platforms. (New Media Show interview with Leo Laporte)

That fragmentation creates an opportunity for improvement in the new media and creator space, including podcasting.

The more places a show travels, the more valuable a system becomes for understanding what is happening across all of them.

We need to measure the show, not just the file

My conversation with Listener.com founder Casey Adams on Episode 673 took this directly into measurement.

The central question was:

“How do you measure the true value of a show when the audience is no longer in one place?” (New Media Show interview with Casey Adams)

A podcast episode today may generate an RSS listen, a Spotify stream, a YouTube view, short-form consumption, newsletter engagement, and a sponsor interaction.

Each platform measures behavior differently.

Casey’s concept of an “episode cluster” is useful because it treats all the content generated around an episode as connected, rather than pretending that the audio file represents the entire media product. (New Media Show interview with Casey Adams)

I think that idea points toward something larger.  The next generation of creator analytics cannot simply show a data analytics dashboard. 

It has to help answer:

What happened?

Why did it happen?

What should I do differently next time?

The above last question changes everything.

Once the platform starts helping the creator make the next decision, analytics begins turning into intelligence.

Rox Codes said the quiet part out loud

My July conversation with Flightcast CEO and co-founder Rox Codes made this transition particularly clear.

Rox came into podcast hosting from a YouTube creator and growth mindset. Flightcast did not begin with the assumptions of the traditional audio hosting industry.

During the conversation, we explored publishing, YouTube strategy, video, titles, thumbnails, retention, experimentation, monetization, AI analytics, and the growing amount of technical complexity being pushed onto creators.

Near the end of the episode, Rox made the underlying market change explicit:

Basic hosting has become a commodity. (New Media Show interview with Rox Codes)

The comment above deserves more attention than it received.

If reliable hosting becomes expected infrastructure, where does future value move?

Rox’s answer points toward growth, analytics, experimentation, distribution, monetization support, and creator intelligence. 

Flightcast is already building around unified publishing and analytics, AI-supported analysis, and the idea that creator software should help people understand what is working via deeply analyzing results data and testing rather than simply reporting numbers. (New Media Show interview with Rox Codes)

During that conversation, I even asked whether Flightcast is becoming a creator operating system.

I keep coming back to that question and potential opportunity. Because I don’t think this shift will be limited to Flightcast, but it may be leading this upgrade revolution.

I think it describes where a meaningful part of the platform market is heading.

The creator is becoming the media company

There is another piece of this transformation that technology companies cannot ignore.

The economic unit itself is changing.

On Episode 676, Steve Wilson of Daylight Media and QCODE discussed a creator-first media structure in which the creator maintains the audience relationship, while companies provide infrastructure, distribution, monetization, audience development, and other support for that relationship. (New Media Show interview with Steve Wilson)

The episode ultimately reached a bigger conclusion:

A successful show can be the center of a much larger media business built around the audience.

That can include long-form audio, video, clips, subscriptions, communities, events, products, and additional intellectual property. (New Media Show interview with Steve Wilson)

Dan Granger of Oxford Road added the advertiser perspective in Episode 677.

The episode described how:

“A trusted personality can carry an audience across podcasts, YouTube, livestreams, newsletters, social platforms, communities, events, and direct business relationships.” (New Media Show interview with Dan Granger)

Advertising systems, however, still frequently purchase and measure these channels separately.

That creates another gap waiting to be solved.

The creators increasingly operate as one media brand.

The technology and measurement systems still often don’t see all media products.

Those realities are colliding.

Podcasting is becoming one lane inside a larger creator media system

Sam Sethi, CEO of TrueFans and co-host of Podnews Weekly Review, and I explored another version of the same shift on Episode 671.

The episode made the point that podcasting can no longer think only in terms of:

“feeds, files, downloads, and ad impressions.” (New Media Show interview with Sam Sethi)

Creators are building businesses around video, memberships, newsletters, events, merchandise, premium content, and direct relationships with their audiences.

That does not diminish podcasting. I believe it increases the show’s strategic value.

Long-form or Shorter-form podcast and video conversations, whether in horizontal or vertical video, can become an unusually powerful source of material because a single strong piece of intellectual property can feed many different audience experiences.

The show becomes the core. The distribution expands around it.

The media technology needs to understand the whole system.

I think we are moving through three generations

This is how I currently see the evolution.

Generation One: Podcast Hosting

Media file → RSS → Podcast apps → Downloads

The host’s primary responsibility was infrastructure.

Reliability mattered enormously.

Generation Two: Creator Platform

Audio + Video → Distribution → Monetization → Analytics → Creator tools

We are already well into this stage.

Traditional hosts have expanded. New entrants are arriving. YouTube and Spotify have changed creator expectations. Video has become much more important. AI is being inserted throughout production and publishing workflows.

Generation Three: Media Operating and Intelligence Layer

Content → Distribution → Audience behavior → Intelligence → Creative decisions → Monetization → Audience relationship

This is where things become much more interesting. The platform does more than distribute the show. It begins helping the media operator understand the business around the show.

What topics create discovery?

Which guests expand the audience?

Which titles produce curiosity without damaging trust?

Which thumbnails work with which audience?

Where do viewers drop?

Which clips bring people into long-form content?

Which platforms produce casual reach versus loyal audiences?

Which sponsor relationships actually work?

Which older episodes should surface again because current events have made them relevant?

What should the creator make next?

That is a fundamentally different value proposition from hosting an MP3.

The host may become invisible while the intelligence becomes valuable

There is some irony here.

The better these systems become, the less creators may need to understand the underlying infrastructure.

Rox Codes of Flightcast made this point during our Flightcast conversation while discussing acronyms such as RSS and HLS, as well as technical migration requirements. The software should handle much of that complexity for the creator. (New Media Show interview with Rox Codes)

Leo Laporte, TWiT.TV essentially made the same point from the audience’s side. People care about getting the show they want, not the mechanics used to deliver it. (New Media Show interview with Leo Laporte)

That means the infrastructure can increasingly disappear into the background.  What becomes visible is the value created above it.

I suspect that by 2030, asking a platform how many shows it “hosts” may tell us much less about its strategic value than it does today.

Better questions may be:

– How much audience growth does the platform help create?

– How much friction does it remove?

– How much revenue moves through it?

– How much useful audience intelligence does it return?

– How effectively does it help creators make better decisions?

– How much control do creators retain over their media, identity, and relationships?

Can the creators trust the intelligence the system is giving them?

AI makes the trust question unavoidable

This is where the next phase becomes more complicated.

AI can already analyze transcripts, suggest titles, identify clips, summarize analytics, and surface patterns across large catalogs.

It will become much better at those jobs.

Eventually these systems may recommend topics, guests, formats, publishing schedules, monetization strategies, and creative direction.

At that point, the platform is influencing the media itself.

That raises questions our industry should begin addressing now.

What data shaped the recommendation?

Whose incentives are represented?

Is the platform optimizing for creator growth, audience value, advertising revenue, or its own engagement?

Can creators understand why a recommendation was made?

What happens when every creator receives similar optimization advice?

Where does human editorial judgment remain essential?

And how much creative independence are we willing to trade for performance?

My conversations with Leo Laporte, Rox Codes, Casey Adams, Steve Wilson, Dan Granger, and others keep returning to different versions of the same human issue.

Data matters. AI matters. Distribution matters.

But media ultimately succeeds because someone earns another person’s attention and gives them a reason to return to consume more.

Trust sits inside that relationship.

We have been heading toward this longer than it appears

None of this began in 2026.

Back in June 2022, Todd Cochrane, Buzzsprout’s Alban Brooke, and I were already discussing YouTube, distribution, and the growing tension between open podcasting and more controlled platform ecosystems on the New Media Show. (New Media Show interview with Alban Brooke in 2022)

Todd Cochrane and I spent years debating RSS, platform control, video, advertising, creator independence, and what happens when large technology companies push podcasting in directions the original architecture never anticipated.

The technologies have changed. The underlying question has remained remarkably persistent:

Who controls the relationship between the creator and the audience?

I believe the next version of that question is:  Who controls the intelligence around that relationship?

That may turn out to be the most important platform battles of the next decade.

The next podcast/creator OS platform may barely look like a podcast host

I do not think podcast hosting disappears.

RSS does not suddenly become irrelevant.

Audio does not stop mattering because video is growing.

Reliable infrastructure remains essential.

But infrastructure alone is becoming less differentiated.

The larger opportunity is developing around the show-in-it conversion to being a media company.

Publishing.  Distribution.  Audience understanding. Cross-platform measurement.

Creative optimization. Monetization. Catalog intelligence. AI assistance. Creator ownership.

Human trust.

Those capabilities are beginning to connect with creators and audience communities.

When they do, calling the resulting product a “podcast host” may sound increasingly inadequate.

We will call it a creator operating system, a media operating platform, an intelligence layer, or something rather early and less defined.

The terminology is less important than the shift underneath it.

For 20 years, podcast technology has helped creators publish, distribute, and monetize.

The next-generation creator media OS companies will increasingly help them understand what should be made, what happened after they made it, analyze the results, and decide what to do next.

That is a much larger and more valuable services business. And I believe the race to own that layer has already started.

Rob Greenlee is a longtime new media executive, Podcast Hall of Fame inductee, and host of the New Media Show. His work focuses on the evolution of podcasting, video, creator-led media, AI, and human trust in emerging media systems.

AI Disclosure: AI tools were used to assist with organizing and editing this article’s research. The thesis, editorial perspective, final judgment, and responsibility for the published version remain mine and my New Media Show guests’.

Liquid Content Era Enables Creators To Become Trusted Media Brands

by Rob Greenlee, CEO/Founder, Trust Factor Lab and Trust Creator Community at M3Linked.com, Host of NewMediaShow.com & Spoken Human

Rob Greenlee, 2017 Podcast Hall of Famer, Chair and Host of NewMediaShow.com and Founder of Trust Factor LabPodcasting’s New Liquid Content Era has growing potential to turn audio and video creators into Trusted Media Brands.

Let’s stop pretending podcasting is still just an audio strategy.

It isn’t.

We are in a major reshuffle right now. The old boundaries around what a podcast is, how it gets discovered, and how creators build momentum are extending fast. What once felt fixed is becoming far more fluid and complicated. That is why I see this as podcasting’s new liquid era, where creators are becoming more than just podcasters.

Many are becoming trusted, personified, or human-centric media brands.

That shift did not happen overnight, but the major platform moves made it impossible to ignore. YouTube pushed podcasting deeper into its video ecosystem. Spotify reinforced video publishing and monetization. Apple pushed even further with a new video podcast experience via HLS streaming inside Apple Podcasts.

“That matters because it signals something bigger than a feature update.“

YouTube changed creator behavior. Spotify and Netflix reinforced the business case.

“Apple Podcasts has now validated that video podcasting via HLS is much closer to the center of gravity in podcasting. None of that means audio stopped mattering. Audio still fits some of the most valuable moments in people’s lives. It still works while driving, walking, working out, commuting, and doing everything else that makes spoken-word media so powerful. Audio still matters deeply.”

Video is not replacing audio in every context, but it is clearly driving much of the momentum, experimentation, audience behavior, and acquisition deals right now. That is why I do not think the smartest framing anymore is audio-first versus video-first.

The smarter framing is to trust first and to focus on content liquidity.
Because in a liquid content era, formats can move. Platforms do change. User behavior does shift. Discovery pathways evolve. But trust is what survives the reshuffle.

That is where new media creators need to up their game.

  • The goal is not just to publish an audio
  • The goal is not just to post a video version
  • The goal is not just to be present on another of many platforms
  • The real opportunity is to become a trusted media personality brand
  • That means your show is no longer just an RSS feed. It is a relationship. It has a recognizable point of view or change mission that matters to humans. It is also a repeatable format. It is a body of communications people can follow across audio, video, clips, livestreams, newsletters, search, and community.

And now there is another layer that matters more every month: AI algorithmic content scoring and sharing discovery in LLM’s.

The next phase of creator growth is not only about ranking in traditional search or getting picked up by AI platform algorithms.

To be discoverable inside AI answers, conversational search, and recommendation systems.

“If your content is clear, trusted, well-structured, and consistently published, it has a much better chance of being found, surfaced, and revisited across this new landscape.”

That is also why owned audience relationships are becoming so important.

The next strategic layer for creators is not just public content. It is building private, premium, interactive communities that they control.

  • Not just followers on rented platforms.
  • Not just subscribers inside someone else’s ecosystem.
  • Not just passive audience reach.

“Building spaces where creators own the direct relationship with their audience. Membership communities. Premium groups. Mastermind environments. Private creator circles. Direct audience ecosystems are built around trust, participation, and recurring value.”

Because when a creator builds that kind of community, they are not just publishing content anymore. They are creating a meeting place for direct connections. That is an ongoing experience. The creator is building loyalty, feedback loops, and a deeper business relationship that is far more durable than a view count or a download-and-view number on a large consumption platform the creator does not control the access pathways to.

That changes the economics, too. 

  • Public content can drive awareness
  • Video can drive discovery
  • Audio can deepen a habit.

A private community can drive retention, monetization, and direct audience relationships.

That is a much stronger model than relying entirely on platforms you do not control.

And now we need to talk about what comes next.
I believe hybrid human-and-AI creator brands will become a real part of this landscape. Not fake creators replacing people. Not synthetic noise with no soul. I mean human creators extending their voice, expertise, archives, and availability through AI clones that are built the right way.

Done badly, that becomes creepy, misleading, and disposable.
Done well, it becomes powerful.

“A trust-first AI clone should not pretend to be a human when it is not. It should be clearly disclosed. It should reflect the creator’s actual values, body of work, and knowledge. It should be built from authentic source material. It should help audiences access ideas, archives, recommendations, and next steps in ways that extend the human-creator brand rather than diluting it.”

A creator’s human voice remains the center.  The human relationship remains the anchor.

But AI can extend availability, responsiveness, discovery, education, and continuity.

In other words, the future is not human or AI, but both. It is trusted human brands with carefully built AI extensions.

Only works if trust comes first. If audiences feel tricked, manipulated, or confused, the brand loses value. But if the AI layer is transparent, useful, aligned, and grounded in the creator’s real voice and expertise, it can become an extension of the relationship rather than a replacement for it.

That is why I think the creators who win in the next chapter will be the ones who know how to build trust across multiple surfaces:

  • Public platforms
  • Audio feeds
  • Video channels
  • AI discovery layers
  • Private premium communities and eventually, trust-first AI versions of their own brand.

That is the shift.

  • We are moving from content creators to trust builders
  • From podcasters to media brands
  • From single-format publishing to format flexibility
  • From a rented reach to an owned relationship
  • From static content libraries to intelligent, discoverable creator ecosystems
  • That is not the end of podcasting
  • That is, podcasting is becoming bigger than its original container.

And from my perspective, that is the real opportunity for creators, experts, and brands right now. In a world where more content will be created by more people and more machines than ever before, trust becomes the filter. Trust becomes the signal.

Trust becomes the value.  The question now is not whether you are only a podcaster.

“The question now is whether you are building something people trust enough to follow, join more deeply in a community, and eventually interact with you and your brand.”

“The path is built on a trust-first approach: clear disclosure, authentic source material, useful value for the audience, and strong alignment with the human creator’s real voice and expertise.”

What opportunity is there now for creators?

To become trusted media brands that use public platforms for reach, video for discovery, audio for habit, private communities for ownership, and trust-first AI extensions for scalable audience support.

About the Author
Rob Greenlee is a 2017 Podcast Hall of Fame inductee and Chair, a global new-media leader who bridges podcasting’s human roots and its AI-driven future. As founder of Trust Factor Lab and host of the “New Media Show” and “Spoken Human”, Rob helps creators start, grow, monetize, and future-proof their content. He’s held leadership roles at Microsoft, Spreaker, Libsyn, StreamYard, and PodcastOne, and serves as Chairperson of the Podcast Hall of Fame. Learn more at RobGreenlee.com and join the Trust Factor Lab Creator/Podcast Services.

Personal note: I used AI tools to help organize this article and hand-edited it; the views, clarifications, responsibility, and industry perspective are mine. 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.