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If you’ve ever wondered whether newsletters still matter in an AI-driven world, this conversation might completely change the way you think about owned media, monetization, and the future of digital business.

In this episode, I’m sharing a special roundtable conversation with a group of female founders who attended the New Media Summit in Austin with me. 

We unpack our 5 biggest takeaways...from AI clones and the future of content creation to why newsletters are becoming one of the most powerful owned assets in a digital business.

One theme came up again and again: the importance of building platforms you actually own. Newsletters, communities, and direct audience relationships are becoming increasingly valuable as social media algorithms continue to shift.

We also discuss how AI is rapidly transforming how creators produce content and scale their businesses. As one speaker shared, the question isn’t whether to use A, it’s how we’ll use it to maintain our competitive advantage.

This conversation also reinforced something I’ve been teaching for years: newsletters are more than just marketing tools. They can become real products and meaningful revenue streams through sponsorships, partnerships, and advertising.

What You’ll Learn

• Why newsletters are becoming one of the most valuable owned media assets in your business
• How AI tools like voice clones are changing podcasting and content creation
• The role paid advertising plays in growing large newsletter audiences
• Why community and human connection matter even more in an AI-driven world
• How founders are monetizing newsletters through sponsorships and partnerships
• A simple strategy for gathering audience data when people join your email list
• Why thinking of your newsletter as a product, not just a marketing tool, can change your revenue potential

This conversation left me energized, not just about newsletters, but about the future of digital business.

The biggest reminder?
 The tools may evolve, but we’re still serving real people.

Listen in and let me know what takeaway resonated with you most.

Mentioned in this episode:

Newsletter Profit Club

Guest Resources & Free Gifts

Several of the founders who joined this roundtable generously shared free resources for listeners who want to go deeper into the topics we discussed.
Monica Froese – Empowered Business™
Monica Froese is a digital product strategist and AI educator helping entrepreneurs scale with digital products and e-commerce shops.
Free Resource: Email Engagement Elixir GPT
Where to find Monica: Website

Kate Kordsmeier – Success with Soul
Kate Kordsmeier is a certified life and business coach who helps entrepreneurs build profitable, sustainable, soul-aligned businesses without relying on social media.
Free Resource: Algorithms Anonymous: A 12-Step Recovery Plan to Replace Algorithm Anxiety with Sustainable Sales
Where to find Kate: Website

Natalie Gingrich – The Ops Authority
Natalie Gingrich is an operations mentor and host of The Ops Authority Podcast. Her company trains women to become strategic operations leaders for small businesses.
Free Resource: How to Define (or Refine) Your Mission, Vision, and Values for Your Business
Where to find Natalie

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In this episode of the Creator’s MBA podcast, I walk you through the nuances of where AI clones can add real value—and where they absolutely don’t belong. It’s easy to get swept up in the potential of automation, but being strategic about how (and if) you use AI clones will make or break their impact on your business.

I share real-world examples of when AI clones shine—especially for repeatable judgment calls and implementation support—and when they fall short, like in emotionally sensitive work or when your frameworks are still evolving. If you’ve been curious about whether AI clones are worth exploring, this episode will help you assess your readiness with clarity and confidence.

What You’ll Learn

• The best use cases for AI clones in expert-based businesses
• Why repeatable judgment is key to AI clone success
• When access to you becomes the bottleneck—and how clones can help
• Why AI clones fail in emotionally nuanced or exploratory work
• The difference between judgment and creation (and why it matters)
• The hidden readiness factor most people overlook when building a clone
• How to decide if the AI Clone Lab is the right next step for you

If you’ve been wondering, “Is an AI clone right for my business?”, this episode will give you the clarity you need. And if you’re ready to explore building your own, I share more about the AI Clone Implementation Lab I’m hosting in March—who it’s for, and who it’s not.

👉 Hit play now and let’s dig in.

Mentioned in this episode:

AI Clone Implementation Lab

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Today’s episode is a little different.

What you’re about to hear is the audio from a live session I taught yesterday called:

“Why Courses Aren’t Working Like They Used To (and What Replaces Them).”

I decided to share it here as a bonus episode because the conversation felt important.

If you’ve ever thought:

“My course used to sell… why does it feel harder now?”

Or…

“Why are buyers hesitating, even when the content is strong?”

This session will likely hit home.

In it, I break down what’s actually changed in the online education space, why information alone no longer converts the way it once did, and what buyers are really evaluating in 2026.

More importantly, I walk through what replaces the old model — and how to evolve your delivery in a way that supports your students better and makes your offer easier to sell.

This is an audio recording of a live teaching, so you’ll hear it in its raw format.

No heavy edits. Just the session as it happened.

If this resonates with you, and you want help applying this to your own course, membership, or coaching program, I’ll share a next step at the end.

Alright — let’s get into it.

Mentioned in this episode: 

Replay: Why Courses Aren’t Working Like They Used To (and What Replaces Them)

AI Clone Lab

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In this episode of the Creator’s MBA podcast, I’m breaking down one of the biggest fears experts have about AI clones: losing control of their IP or misrepresenting their work. 

If you’ve built a body of work you’re proud of—a real framework, clear philosophies, trusted judgment—then the idea of an AI speaking for you can feel risky. And I want to assure you: that fear is valid, and there’s a smart way to navigate it.

I walk through how experts are using AI clones without diluting their authority or handing out their paid content. You’ll hear how responsible creators are setting boundaries, defining what their clones can and cannot do, and testing their systems the same way they would onboard a team member. 

If you've been intrigued by the idea of cloning your expertise but hesitant to move forward, this episode is a must-listen.

What You’ll Learn

• Why the biggest concern isn’t theft—it’s misrepresentation
• How experts separate their judgment from their deliverables
• Smart boundaries that protect your tone, values, and voice
• Real examples of rules experts are building into their clones
• Why saying “I can’t help with that” is actually a trust-builder
• How to keep clones inside paid programs without exposing IP
• The difference between supporting decisions vs. teaching frameworks

AI clones aren’t here to replace your brilliance. They’re here to help you apply it—consistently, at scale, and on your terms. This episode will help you assess whether you’re ready to take that step, and if so, how to do it with clarity and confidence.

🎧 Hit play to learn how to scale your judgment without losing your voice.

Mentioned in this episode:

AI Clone Implementation Lab

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AI is changing how inboxes decide what’s relevant — and a lot of creators are wondering what that means for their email strategy.

Here’s the good news: this isn’t a panic moment.

But it is a clarity moment.

In this episode, I break down what’s actually shifting and why your email strategy needs a job — one that’s clearly connected to your revenue.

You’ll learn:

• What AI inbox filtering is really paying attention to
• Why consistency alone isn’t enough anymore
• How to audit your last five emails in under 10 minutes
• The difference between “maintaining” a newsletter and designing it intentionally
• How to align your email content with launches, evergreen funnels, memberships, or high-ticket offers

If email plays any role in how you make money, this is worth your attention.

Mentioned in this episode:

Get your AI Inbox Readiness Check

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In this episode of the Creator’s MBA podcast, I unpack why even the best digital courses are struggling to support implementation today. You might have strong content, a clear framework, and students who are genuinely eager to learn—yet still see them get stuck. 

The problem isn’t you, your material, or your students. It’s that the course model was never built to support real-time decision-making in complex, ever-changing contexts.

I’ll walk you through the real reason this mismatch is happening more often now, and why the solution isn’t always “add more content” or “go live more often.” 

You’ll hear how experienced learners, especially, need judgment-based guidance—not just information—and how new delivery models (including AI clones) are starting to fill that gap.

What You’ll Learn

• Why traditional courses struggle with real-world implementation
• How learning and working have merged—and what that means for creators
• The difference between information transfer and context-based support
• Why live calls are helpful but still not enough
• The true scalability challenge behind coaching and hybrid models
• How AI clones are being used to support implementation (without replacing teaching)
• Why it’s not about teaching more—it’s about guiding better

If you’ve ever wondered why your students “get it” during the lesson but freeze during implementation, this episode is for you. You’ll leave with a new lens for evaluating your delivery model—and a preview of how to bridge that gap more strategically.

🎧 Listen now to reimagine how your course can actually support the way people work and learn today.

Mentioned in this episode:

AI Clone Implementation Lab

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In this episode of the Creator’s MBA podcast, I’m demystifying what an AI clone actually is—and how it’s very different from a chatbot or a custom GPT. There’s a lot of hype out there right now, and while those tools have their place, an AI clone serves a completely different function in your business.

We’ll walk through how clones are built to apply your unique way of thinking—not just spit out generic answers. I share how they can support your clients when you’re not in the room, and why they only work when your frameworks are already clear and stable. If you’ve been wondering whether a clone could help reduce bottlenecks or improve implementation in your programs, this episode is a must-listen.

What You’ll Learn

• The key difference between chatbots, custom GPTs, and AI clones
• Why AI clones aren’t built for creativity or exploration
• How your decision-making process becomes the “engine” of a clone
• Where clones fit best in expert businesses
• Why automation and cloning are not the same thing
• What an AI clone needs from you to actually work
• The kinds of work AI clones should never try to replace

If you’re thinking about using AI in your business—but want to do it responsibly, with clarity and intention—this episode will give you a strong foundation. I also share a real-life example of how AI clones can support implementation in online courses without replacing your presence.

🎧 Tune in and find out if your business is clone-ready.

Mentioned in this episode:

AI Clone Implementation Lab

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Friend, I bet you're sitting on IP you didn't even know you had.

What if your most valuable business asset isn’t your course, your funnel, or your content… but your thinking?

In this week’s Creator’s MBA podcast, I break down why your expertise is already a form of intellectual property, even if you’ve never labeled it that way,  and what actually turns experience into a real business asset.

We talk about:

• Why most creators accidentally build content libraries instead of business assets
• How your frameworks, methods, and decision-making patterns are the real value in your business
• What changes when your knowledge becomes something that can exist and operate without you
• And why AI is shifting how creators can scale, not just faster, but smarter

If you’ve ever felt like you’re constantly creating but not really building something that lasts, this episode will change how you think about your business — and what you should be focusing on next.

Mentioned in this episode:

AI Clone Implementation Lab

Other resources: Your Expertise Is Intellectual Property (Even If You’ve Never Thought of It That Way)

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Most business owners aren’t short on information, they’re stuck because they don’t know which direction deserves their full commitment. I

n this episode, I dive into why watching decisions get made in real time teaches you far more than polished advice ever could.

I’m taking you behind the scenes into how judgment is built, not by copying what worked for someone else, but by observing how trade-offs are made, what gets prioritized, and what’s left on the cutting room floor. 

If you’ve ever felt overwhelmed by choices or unsure which path to take, this episode will help shift how you think about decision-making in your own business.

What You’ll Learn:

• Why advice often loses its value once your business is working
• The real problem behind “I don’t know what to do next”
• How judgment is built by seeing what almost happened
• Why context matters more than copying success
• What to pay attention to when watching someone make decisions
• Questions to sharpen your own strategic thinking
• How to use this lens to evaluate your own trade-offs

If you’re ready to stop searching for the “right” answer and start building trust in your own thinking, hit play on this episode. And don’t forget to grab the free report I mention—it’s the perfect way to practice this decision-making lens.

Mentioned in this episode:

Free Report: The Decisions Behind a 17,958-Attendee Creative Event

$1M HobbyScool Experiment

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We often hear about success after it happens, but what if the real learning is in the decisions, not just the outcomes?

In this episode of the Creator’s MBA podcast, I share the real reason behind the $1 million HobbyScool experiment—and it’s probably not what you think. This isn’t about a dramatic pivot or fixing something broken. HobbyScool was working. The experiment started because I realized that, as my business grew, what I needed most wasn’t more case studies or strategies, it was clarity around how decisions are actually made when the outcome isn’t obvious.

This episode is a transparent look at why I’m documenting the thinking, the trade-offs, and the context behind every key decision, not just the highlight reel. If you're beyond the beginner stage and craving more nuanced, in-the-moment insight, this is for you.

What You’ll Learn:

• Why I shifted focus from outcomes to real-time decision-making
• The hidden cost of polished success stories and post-mortems
• What decisions actually look like when the outcome isn’t clear
• Why real growth comes from decision patterns—not one big move
• How I’m documenting uncertainty to sharpen judgment (yours and mine)
• The backstory behind a 17,958-attendee creative event and what really happened behind the scenes
• How to access my free “Decisions Breakdown” report

If you've ever read a case study and still wondered how they actually decided that, this episode will feel like a breath of fresh air. Listen in and grab the free report linked in the show notes to see the real decisions behind the scenes.

Mentioned in this episode:

Free Report: The Decisions Behind a 17,958-Attendee Creative Event