20260324_ai_bubble_8gb_en

The article discusses the AI bubble collapse discourse, focusing on the risks of API price spikes, service shutdowns, and model quality stagnation. However, it argues that these risks are limited to data-center-scale economics and don't apply to local LLMs. The author suggests that a bubble bursting in the local LLM world would be a capital flow problem upstream, not a problem with inference pipelines. This is demonstrated by the existence of local model inventory, which would not be affected by the shutdown of a cloud service.