30 March 2023

OpenAI Launches The ChatGPT AppStore (#105)

2Frameworks

8Insights

Frameworks in this episode

Strategy7 steps

AI Adoption Operating Cadence

Turn AI uncertainty into a governed pipeline of experiments, learning, and investment.

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Innovation6 steps

AI Green-Space Opportunity Test

Find newly viable opportunities by revisiting what was once impossible or too costly.

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 3

Hot Take01:30

ChatGPT Is Becoming the Everything App

Kieran argues that plugins transform ChatGPT from a conversational tool into an operating layer where users can invoke external products without leaving the chat interface. As the interface mediates more tasks, the underlying software becomes less visible and potentially more commoditized.

Plugins give ChatGPT app-like functionality.
Users can book travel, operate software, and write code through chat.
The chat interface becomes the customer-facing software layer.
Users care about completed work more than which plugin performs it.

“ChatGPT became the everything app.”
Kieran Flanagan · 01:30

“you just care that the work's getting done within the chat interface.”
Kieran Flanagan · 02:30

#chatgpt#plugins#platforms#software

Hot Take12:00

Pre-AI Market Leaders Are Guaranteed Nothing

Kieran compares the emerging AI transition with the internet's reshuffling of the Fortune 500. Companies optimized for stable systems may struggle because every organization must reconsider products, operations, and competitive advantages amid persistent ambiguity.

AI creates a divide between pre-AI and post-AI companies.
Past market leadership does not guarantee future relevance.
Established companies must learn to operate amid rapid change.
People who prefer optimization over ambiguity may find the transition difficult.

“And if you do not enjoy chaos, you're not gonna enjoy the next couple of years.”
Kieran Flanagan · 12:00

“And if you were a winner pre AI, just like the pre-internet companies, you're guaranteed nothing.”
Kieran Flanagan · 13:00

#disruption#competition#change#strategy

Hot Take16:00

Microsoft Is Operating Like the World's Largest Startup

The hosts observe that Microsoft was releasing AI products at a pace unusual for an incumbent of its scale. They interpret this as organizational reinvigoration and an attempt to challenge Google by changing the competitive rules rather than merely defending an existing position.

Microsoft was shipping major products on a rapid cadence.
AI appears to have reinvigorated the company.
The company combines startup-like speed with incumbent scale.
Changing the rules creates an opportunity to attack Google.

“Microsoft, the world's largest startup.”
Kipp Bodnar · 16:00

“They're running like a startup.”
Kieran Flanagan · 16:00

#microsoft#startups#product#competition

Explainer· 1

Explainer08:00

Why AI Could Produce More Profitable Micro-Companies

Lower software-development and service costs could let one- or two-person companies profitably serve markets that were previously too small. The hosts suggest that customer experience and early niche ownership may matter more than mass-market distribution in these businesses.

Small teams can support narrowly tailored applications.
Markets of ten or twenty thousand customers may become viable.
Niche specialization can reduce direct platform competition.
Customer experience may serve as a moat.
Investors may aggregate portfolios of micro-niche AI companies.

“You can build a $10 million business with like two people.”
Kipp Bodnar · 08:30

“The future is more small companies.”
Kipp Bodnar · 09:30

#solopreneurs#niches#startups#ai

Story· 1

Story13:30

GPT-4 Gives 100,000 Prospects a Custom Product Idea

The hosts recount a software agency's outreach campaign to Shopify businesses. GPT-4 generated a tailored application concept for each prospect and continued handling responses until a human sales conversation became necessary.

The agency assembled data on one hundred thousand Shopify sites.
GPT-4 generated a custom app idea for each business.
Each idea was included in a personalized cold email.
AI continued prospect engagement until human intervention was valuable.
Mass outreach gained characteristics of a concierge sales experience.

“he has GPT4 come up with a custom app idea for each of those hundred thousand companies.”
Kipp Bodnar · 14:00

“you can give everyone a concierge experience.”
Kieran Flanagan · 15:00

#sales#personalization#outreach#gpt4

Tool· 1

Tool10:30

Turn Company Filings Into an Interactive Research Interface

Kieran describes loading company reports into ChatGPT so an investor can request highlights and ask targeted follow-up questions. The approach replaces linear reading with interactive querying, comparison, and explanation.

Upload relevant company reports into the model context.
Request a summary before asking detailed questions.
Query forecasts, product releases, and management commentary.
Use follow-up questions to clarify complex financial concepts.

“So ChatGPT will give you the highlights, but then you can actually just query on that report so you don't have to read it.”
Kieran Flanagan · 10:30

“Like, tell me what they said about this, tell me what they said about new product releases. Tell me what they said about forecast.”
Kieran Flanagan · 10:30

#investing#filings#research#chatgpt

Takeaway· 2

Takeaway11:00

AI Compresses the Cost and Time of Learning Complex Subjects

The hosts argue that conversational AI can make sophisticated explanations, comparisons, summaries, charts, and models broadly accessible. Curiosity becomes especially valuable because learners can interrogate difficult material at their own pace and request repeated clarification.

AI can summarize and explain complex source material.
Learners can compare, contrast, map, and chart information conversationally.
Expensive educational support becomes more accessible.
Curiosity determines how much value a person extracts from these tools.

“it has never been easier to understand really complex things in a short period of time.”
Kipp Bodnar · 11:00

“You can have a Stanford level graduate, just to explain everything to you, summarize things, compare things, contrast things, map things, chart things”
Kieran Flanagan · 11:30

#learning#curiosity#education#ai

Takeaway20:30

AI's First-Mover Advantage Has an Expiration Date

The hosts predict that early AI-driven personalization could sharply increase marketing conversion rates, but the advantage will erode as competitors adopt the same capabilities. That creates a limited period in which urgent experimentation may generate unusually large returns.

Early adoption may produce outsized conversion gains.
The benefit declines as AI-enabled tactics become standard.
Normalized competition will eventually push performance back down.
The potential for a six- to eighteen-month advantage can justify reprioritization.

“it's the earlier you are, the bigger the benefit that erodes over time”
Kieran Flanagan · 20:30

“There's never been a bigger first mover advantage than with artificial intelligence.”
Kipp Bodnar · 21:30

#first-mover#conversion#marketing#timing