The race metaphor is even less persuasive in the context of describing economic competition. The notion that “winning” the AI race will confer durable economic dominance misunderstands both the structure of technology markets and the specific characteristics of AI as a product.Various industry commentators, including Andrew Ng, have noted that “models are commoditizing the foundation-model layer.” A senior Google engineer drafted an internal memo titled “We Have no Moat, and Neither Does OpenAI.” The claim is that users increasingly treat models as interchangeable, switching between them based on cost and convenience rather than brand loyalty. Peter Salib and Simon Goldstein further argued recently that AI simply does not lend itself to becoming a natural monopoly. To be sure, there are strong arguments on both sides, and it is hard to know whether sustainable moats would emerge through differentiation on latency, cost, capability, or autonomy. However, in the present reality, where the labs reshuffle their positions on the leaderboards on a monthly basis, the potential commodification of AI should serve as caution against over-investment in an expropriable benefit.