
- AI incumbents erase weak moats instantly — the hierarchy determines what survives once Google, Microsoft, Meta, Amazon, and Apple fully activate.
- Survival is not a function of innovation quality, but structural advantage under pressure.
- Only the top two levels (Moderate + Strong) withstand platform-scale replication and distribution shock.
- The hierarchy is non-linear: each level increases survival probability by an order of magnitude.
- Most AI startups today operate in Level 0 or Level 1 without realizing it.
Level 3 — Strong Moat
Data Network Effects • Compounding Advantage
This is the only moat that grows stronger as incumbents grow stronger.
User interactions compound, personalization deepens, proprietary data becomes irreplaceable.
Characteristics
- Flywheel becomes self-reinforcing
- Unique data not replicable by incumbents
- Personalization loops deepen switching costs
- Every new user increases defensibility
Survival Probability:
~70%+ — the only long-term defendable position
Examples
Vertical tools with workflow-specific data feedback loops.
Level 2 — Moderate Moat
Switching Costs • Workflow Integration
Integration friction buys survival time.
Users must retrain, reconfigure, rebuild — providing real, but not absolute, protection.
Characteristics
- Deep workflow embedding
- Organizational lock-in
- Multiple dependent components
- High migration friction
Survival Probability:
~40% — survive with excellence and iteration speed
Examples
Products tightly embedded in daily operations or enterprise workflows.
Level 1 — Weak Moat
First-Mover Advantage • Brand Recognition
Early traction creates awareness, but not protection.
Incumbents absorb novelty, outspend you, and commoditize features.
Characteristics
- Temporary UX advantage
- Early users, hype cycles
- Social visibility
- No structural lock-in
Survival Probability:
~15% — acqui-hire or slow decline
Examples
Novel interfaces, early wrappers, rapid-growth PLG tools.
Level 0 — No Moat
Feature Parity • ChatGPT Wrapper
The most dangerous category.
If your differentiation is UI, workflow shortcuts, or repackaged LLM output, incumbents copy instantly.
Characteristics
- Zero switching costs
- Replaceable in hours
- Pure feature layer
- Dependent on upstream providers
Survival Probability:
~0% — immediate collapse under incumbent focus
Examples
General-purpose chatbots, repackaged model outputs, Chrome extensions, thin utilities.
Strategic Interpretation
- Levels 0–1 are not startups — they are temporary arbitrage.
- Level 2 is where 90 percent of durable AI startups will live.
- Level 3 is the only path to independence, valuation multiples, and market power.
- Every founder must move up the hierarchy quarter by quarter — or die when incumbents converge.
- The hierarchy is not descriptive; it is prescriptive. It tells you where you must build next.








