According to @timnitGebru, claims that data centers have no community impacts on water usage are misguided, highlighting active public dispute over water externalities tied to AI infrastructure. Source: @timnitGebru on X, Nov 20, 2025. The post amplifies a thread by Karen Hao and references an exchange with @kortizart, signaling ongoing scrutiny of data center water impacts that remains visible to industry observers. Source: @timnitGebru on X, Nov 20, 2025. For traders, this is a fresh ESG headline-risk datapoint around AI data centers that can inform risk monitoring across AI infrastructure narratives and crypto market sentiment linked to compute demand. Source: @timnitGebru on X, Nov 20, 2025.

According to Nic Carter, NVIDIA has exceeded market expectations due to the increasing demand for computational power driven by reasoning models. This surge in demand could influence NVIDIA's stock positively, making it a potentially favorable option for traders interested in technology and AI sectors.

According to Andrej Karpathy, Deep Learning models such as V3 and R1 have an immense demand for computational resources, which is a critical consideration for trading strategies involving AI-driven technologies. This demand can influence the cost structure and efficiency of AI-powered trading systems, potentially impacting profitability and operational scalability.