[Morgan Stanley: The Rise of Open-Weight AI Models Will Accelerate AI Adoption by Reducing Costs] BlockBeats News, August 4th, Morgan Stanley stated that the rise of open-weight AI models such as Kimi K3, Qwen, and Llama will accelerate AI adoption by reducing costs, rather than weakening the competitive advantage of industry leaders. The firm believes that lower-cost AI will drive broader adoption of AI technologies by enterprises and cited the 'Jevons Paradox' as evidence, which suggests that improvements in technological efficiency can lead to greater overall demand. Morgan Stanley predicts that open-weight models and closed-source models will coexist in the long term, with 63% of enterprises already using both types of models. Additionally, the firm pointed out that regardless of which AI model architecture ultimately dominates, NVIDIA will be the biggest beneficiary, as the demand for AI computing infrastructure will continue to grow.