Opinion: Most moats in the AI era are just fuel
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Some argue that as intelligence itself becomes a commodity, the things often listed as moats in the AI era—capital allocation, execution speed, distribution channels, audience, economies of scale—are actually just fuel for growth and stop providing protection once investment ceases. The argument holds that a true moat should be something that still keeps competitors at bay when no additional resources are committed, such as strong brands and licensed authorization. It cites Epic as an example, saying that Mayo Clinic spent more than $1 billion over five years migrating to Epic.
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- Hacker News AIMost of AI moats are just fuel
The author argues that intelligence has become a commodity and that context and know-how are fuel rather than moats, since competitors using the same models can eventually catch up. He defines a moat as something that protects a business even if no new resources are added, and contends that most items on common AI-moat lists—capital, distribution, audience, scale economies, and technology—are fuel, while reinforcing loops such as network effects and data effects can become genuine moats. He also suggests subsidised AI subscriptions are fuel spent to start a data loop, with user corrections improving models that attract more users.
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