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AI Moat Lies in Context and Memory

by Brian Balfour on August 17, 2025

The emergence of ChatGPT as a new distribution platform follows historical patterns of platform cycles that create massive growth opportunities for early adopters.

The Four-Step Platform Cycle

Every new distribution platform follows a predictable four-step cycle:

  1. Step 0: Market Conditions

    • Consensus emerges about a new huge category (social, mobile, AI chat)
    • No clear winner yet, with 5-7 major players battling
    • Fierce competition with massive capital investment
  2. Step 1: Identifying the Moat

    • A player identifies what will create defensibility and escape velocity
    • They press this advantage as quickly as possible
    • They need an ecosystem to gather more of this moat
  3. Step 2: Opening the Platform

    • Company establishes a third-party platform with incentives
    • Value exchange: developers add use cases and engagement in exchange for distribution
    • Creates a gold rush of developers and applications
  4. Step 3: Closing for Control and Monetization

    • Platform begins locking down to monetize and prevent disruption
    • They either shut down third-party access, develop first-party applications for high-value use cases, or suppress organic distribution to push paid mechanisms

Historical Examples

  • Facebook Platform: Opened to developers with canvas apps and viral distribution, then gradually restricted access, took revenue cuts, and built first-party versions of successful features
  • Google Search: Incentivized web developers to optimize for their algorithms, then gradually increased ad real estate and absorbed high-value use cases
  • iOS App Store: Created distribution for mobile apps, then imposed restrictions and fees
  • LinkedIn: Boosted company pages then personal content, then restricted organic reach to push toward ads

Why ChatGPT Will Likely Be the Next Major Platform

  • The moat is context and memory: Models alone produce similar results, but context + model produces better outputs
  • ChatGPT leads in retention: Has significantly higher retention curves than competitors
  • Signals of platform launch: Hiring for "agent platform" roles and forming preferred partnerships
  • Massive user advantage: 10x more monthly active users than competitors like Claude

How to Play the Game

  • You can't opt out: If you don't participate, competitors will gain advantage and customer expectations will change

  • Place focused bets: Late-stage companies can spread bets across platforms, but startups must choose one and go all-in

  • Evaluate platforms based on:

    • Retention and depth of engagement (more important than MAUs)
    • User quality and monetization potential
    • The value exchange offered to developers
    • Scale and momentum
  • Plan your exit strategy: Immediately start thinking about how to exit when the platform eventually closes

    • Own important parts of the user experience
    • Accumulate specialized data the platforms don't have
    • Create micro network effects

The Opportunity Timeline

  • The cycles are getting shorter and shorter
  • ChatGPT is likely to launch a third-party platform within the next six months
  • They've already launched agent mode and are forming preferred partnerships
  • The window to capitalize will be brief but potentially transformative