According to @StockMarketNerd, Microsoft’s CFO said this quarter that depreciation schedules and GPU useful-life estimates are directly tied to contracted bookings, indicating AI infrastructure capex and depreciation are aligned with signed demand rather than speculative buildout (source: @StockMarketNerd). For equity traders, this linkage means depreciation expense timing will more closely track revenue visibility, directly impacting gross margin and operating income as assets enter service under U.S. GAAP (source: Microsoft FY2024 Form 10-K; U.S. GAAP). For crypto-focused traders, hyperscaler signals on AI compute deployment are monitored as inputs to AI-compute narratives that can influence sentiment across AI-related themes, making this update relevant for risk positioning even outside equities (source: @StockMarketNerd).

According to @KobeissiLetter, NVIDIA CEO Jensen Huang said he thinks OpenAI will be the next multi-trillion dollar hyperscale company in the context of NVIDIA’s reported $100B investment in OpenAI. source: The Kobeissi Letter on X For equity traders, MSFT is a key OpenAI partner via Azure cloud, linking Microsoft’s AI exposure to OpenAI’s growth narrative alongside NVDA in the AI trade basket. source: Microsoft company blog on the OpenAI partnership; OpenAI public partnership statements For crypto traders, AI narrative proxies include Render (RNDR) focused on decentralized GPU rendering and Fetch.ai (FET) focused on autonomous agents, which are commonly tracked during AI-driven headlines. source: Render Network documentation; Fetch.ai project documentation The $100B investment figure is attributed solely to the cited post and should be cross-checked against primary company disclosures before trading decisions. source: The Kobeissi Letter on X