According to @CNBC, Big Tech equity stakes in Anthropic and OpenAI inflate reported profits and volatility, complicating true AI operating performance.

According to @CNBC, Deutsche Bank says application software tied to AI workflows could cushion downside versus AI hardware cyclicality.

According to CNBC, Amazon and Microsoft earnings spiked AI spend optimism, sending Samsung and SK Hynix shares sharply higher in Seoul.

According to @CNBC, data center buildouts, AI chip demand, and tech earnings signal sustained AI infrastructure growth and capex opportunities.

According to @CNBC, Microsoft targets leading margins by 2030 via cloud gaming, AI personalization, and multiplatform strategy, per an internal memo.

According to @CNBC, Jim Cramer says forced selling is a clearing event that may mark a bottom in the AI trade, opening entry points for quality names.

According to @CNBC, analysts boosted views on Nvidia, AMD, Meta, Microsoft, and Arm, citing AI demand, cloud spending, and inference growth.

According to @CNBC, Microsoft jumped 8% while Meta fell 9% as AI monetization boosted Azure growth and raised questions on social AI ROI.

According to @CNBC, Microsoft beat earnings as AI cloud demand rose, while Meta faced investor patience questions over AI spend, per CNBC analysis.

According to @CNBC, Jim Cramer argues software’s 2024 rebound offers a playbook for an AI stock surge led by profits, adoption, and real ROI.

According to CNBC, Microsoft beat Q4 cloud estimates as Azure full-year revenue surpassed $100B, signaling strong AI workload demand and enterprise spend.

According to @CNBC, Jim Cramer says investors are rotating out of AI leaders into defense, energy, and healthcare names, signaling a tactical shift.

According to @CNBC, Microsoft short interest hit a decade high as investors question rising AI capex ahead of Q2 earnings, pressuring margins and cash flow.

According to The Rundown AI, Moonshot released Kimi K3 weights as Anthropic clarified open weights, while Microsoft unveiled a new cybersecurity model.

According to CNBC... Apple surpassed Nvidia in market cap, signaling shifting AI hardware demand and ecosystem bets, per CNBC’s Emily Tan.

According to @CNBC, Microsoft introduced a lower-cost AI model for cybersecurity to cut detection and response expenses for enterprises.

According to TheRundownAI, Microsoft’s MAI-Cyber-1-Flash hits 96% on CyberGym, beating Anthropic Mythos by 12 points at half cost in MDASH.

According to @CNBC, hyperscalers’ soaring AI capex is pressuring shares yet underpins the bull market, shifting spend to GPUs, data centers, and power.

According to satyanadella, MAI-Cyber-1-Flash with MDASH offers frontier-grade security at half the cost via Project Perception agentic workflows.

According to @CNBC, Nvidia, SpaceX, and Microsoft launched an AI safety initiative amid OpenAI cyber attack fallout, focusing on secure model deployment.