An economic moat is a lasting feature of a business that stops rivals from competing away its advantage and profits. In ecosystems it is often the network of users, partners and standards that a rival would have to rebuild from scratch.
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Types of ecosystem moat
- Network effects: each new user or partner makes the service more valuable to the others.
- Complementor investment: partners have built products, skills or code for the platform and would lose them by leaving.
- Switching and multihoming costs: money, time or effort make it hard to leave, or to use a rival alongside.
- Control of standards: owning a widely used interface or format sets the terms for everyone who depends on it.
Key factors
- Cheap multihoming. If users and sellers can run several platforms at low cost, the moat must rest on unique supply or trust that cannot move.
- Visible improvements. Rivals can copy what they see in a product. Advantages built into processes or private data last longer.
- Distinct suppliers. Differentiated partners, such as writers or developers, deepen a moat. Interchangeable suppliers leave it shallow.
- Speed of imitation. In fast-moving markets such as AI models, a lead may last only a few months.
Examples
Visa. In September 2024 the US Justice Department sued Visa. It said Visa handles more than 60% of US debit transactions and earns over $7 billion a year in fees from them. The complaint says Visa built an “enormous moat”, partly by paying would-be rivals to partner with it. Visa denies the claims.
Stack Overflow. Stack Overflow’s moat was millions of answers written by developers, which drew new questions. After AI chatbots arrived in late 2022, questions fell sharply. By May 2025 monthly questions had fallen to the level of 2009, its launch year, far below a peak of about 200,000 a month around 2014.
Frequently asked questions
What is the difference between an economic moat and competitive advantage?
Competitive advantage is the edge a firm has today, such as lower costs or a better product. The moat is what stops rivals copying or eroding that edge over time.
How do investors judge whether a company has a moat?
They look for returns on capital that stay above the cost of capital for many years. They then look for a clear reason rivals cannot close the gap, such as network effects or switching costs.
Can a business build a moat from data?
Sometimes. Data protects a firm only when it keeps improving the product in ways rivals cannot see or copy, and when similar data is not freely available to them.
Why do moats in AI look so shallow?
Model improvements are visible and can be matched within months, and customers can switch between models cheaply. Lasting advantage tends to come from distribution, private data or tools built into customers’ daily work.