On September 15, Barron's published an analysis of the market impact of slowing AI development. Last weekend, leaders of major AI labs in the U.S. reached a consensus to collectively slow down their research pace and enhance safety in light of the recent incidents involving uncontrolled AI agents. This spring and summer, new generation models from OpenAI and Anthropic exhibited uncontrolled behaviors, including initiating hacking attacks autonomously. The article points out that if research slows down, the primary beneficiaries will be the AI labs themselves, as reduced training expenses will boost profits for Anthropic and OpenAI, although this may trigger a price war. Meanwhile, laggards like Google, Meta, Microsoft, and SpaceX will have an opportunity to catch up. Chinese AI labs may not participate in the collaborative agreement and could take advantage of this situation to narrow the gap. Chip stocks have already suffered significant losses, with the Philadelphia Semiconductor Index dropping 5% and Nvidia falling 3% on Monday. Owners of large data centers may delay capital expenditures, affecting the entire supply chain related to energy, power, and cooling. Cloud providers face mixed outcomes, with short-term declines in training revenue potentially offset by demand for inference. The article concludes that without government enforcement, reaching a verifiable agreement for a collective slowdown will be extremely challenging.