Recent data from a16z reveals a Jevons paradox in the AI market, where the decline in token prices is outpaced by an increase in demand. This phenomenon suggests that lower costs for AI technology are stimulating demand more rapidly than the prices of essential components, such as H100 GPU rentals, which remain stable or even rise. It is crucial to consider the broader implications of this trend; should demand stabilize or decline, the entire supply chain, from chip manufacturers to cloud service providers, may experience significant repercussions. At this stage, it is important to note that while cheaper AI tokens present opportunities for growth, they also pose risks that warrant careful evaluation. A final assessment of this situation would be premature, as ongoing market dynamics will ultimately shape the future landscape.