Milk Man and analyst Vincent examine how cheaper open-weight and specialized models are taking token share from frontier AI providers such as OpenAI and Anthropic. Because those frontier companies are expected to remain major buyers of compute, any sustained slowdown in their growth could pressure AI infrastructure stocks and trigger short-term volatility.
The longer-term case for compute rests on AI agents, whose inference needs could expand demand even if today’s leading model providers lose ground. The discussion shifts toward companies using AI to improve operations or products, with proprietary data and management commitment highlighted as key advantages.
Vincent also argues that blockchain rails and stablecoins could serve AI agents that transact continuously, offering another potential expression of the adoption theme. The broader takeaway is that investors may need to look beyond the infrastructure bottlenecks that led the first phase of the AI trade and focus on businesses turning AI into measurable utility.
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