Welcome to Edition #8 of Podcast Diary 📝🎧

“Today we curated the The Next Wave episode with Greg Isenberg’s

Where we extract the essential wisdom from top business podcasts and serve it up in bite-sized, actionable form for entrepreneurs and professionals on the go.

In this edition, we've handpicked 2 Actionable Ideas and 1 Key Learning from this insightful podcast episode that could transform your business approach.

TODAY'S FEATURED EPISODE

In today's episode, we feature our discussion with Greg Eisenberg, an expert on building successful AI businesses through community cultivation.

Key Insights Discussed:

• Building AI Businesses with a Community-First Approach - Start by building an audience and community around a specific area before launching an AI product to validate demand and have an existing customer base.
  

• Distribution and Brand Advantages in an AI World - As AI makes creation easier, competitive advantages will come from unique distribution channels, personal brands, and audience trust.
  

• Framing Successful AI Companies - Greg compares thriving AI companies to Google, which simply organizes the world's information without creating it directly.
  

• and More!

2 IDEAS FROM THE PODCAST Id#1:

Idea #1: Building AI Businesses with a Community-First Approach

Greg recommends starting with building an audience and community around a specific area before launching an AI product. This allows you to validate demand, get feedback, and have an existing customer base when releasing the product. He cites examples like starting a Twitter account on a topic (e.g. @BoringMarketer), building a community on Discord, and then evolving into a newsletter and product from there. This "Audience, Community, Product" funnel helps mitigate risk and ensures you are solving a real problem people care about.

Idea #2: Distribution and Brand Advantages in an AI World

As AI makes it easier to create products like videos, animation, websites etc., Greg believes competitive advantage will come from distribution and brand. Having an existing audience and community provides leverage when pitching ideas to larger platforms like Netflix. A personal brand and trust built with an audience is difficult for generic AI tools to replicate. Focus on building a distribution channel and brand allegiance alongside utilizing AI tools.

1 KEY LEARNING

Greg Eisenberg makes an analogy comparing successful AI companies to Google. He points out that Google itself doesn't actually create any of the content or information on the internet. Rather, Google acts as a "thin wrapper" or layer on top of the world's information.

Google's core function is to organize, curate and provide access to the vast amounts of data and content created by others on the internet. It doesn't generate that underlying information itself.

Greg argues AI companies can find success by acting as "thin wrappers" that curate and tailor the outputs of large AI models like GPT for specific use cases and audiences. The key is focusing on areas of true differentiation like user experience and domain customization, rather than trying to build entirely new AI capabilities from scratch.

This podcast provides fascinating insights into building AI businesses driven by cultivated communities and personal brands. Did you know that even major AI companies like Google essentially act as "thin wrappers" around the world's data, rather than creating that underlying information themselves?

Greg Eisenberg highlights how successful AI ventures will differentiate through curation, user experiences tailored to specific domains, and other value-added layers on top of large language models - very much like Google's role in organizing the internet.

So what do you say? Let us take you on a journey through Greg's AI business playbook, exploring the power of community-focused approaches, unique distribution advantages, and the rising importance of "taste" over pure engineering skills.

Ready to dive into these strategies for thriving in an AI-enabled world? Listen to the full episode here!

Keep turning those MODELS into MONETIZATION!

Have any podcast suggestions or topics you'd like covered? Just hit reply to this email and let us know!
We're listening.

Until Tomorrow,
Podcast Diary 📙