Faisal Ibrahim
๐™๐™ค๐™ฅ ๐Ÿญ๐Ÿฌ ๐™ฅ๐™ช๐™—๐™ก๐™ž๐™˜ ๐™˜๐™ค๐™ข๐™ฅ๐™–๐™ฃ๐™ž๐™š๐™จ ๐™ฅ๐™ง๐™ค๐™›๐™ž๐™ฉ๐™ž๐™ฃ๐™œ ๐™›๐™ง๐™ค๐™ข ๐˜ผ๐™„ (๐™ง๐™–๐™ฃ๐™ ๐™š๐™™ ๐™—๐™ฎ ๐™ข๐™–๐™ง๐™ ๐™š๐™ฉ ๐™˜๐™–๐™ฅ ๐™–๐™จ ๐™ค๐™› ๐˜ผ๐™ฅ๐™ง๐™ž๐™ก ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ, ๐™›๐™ค๐™˜๐™ช๐™จ๐™š๐™™ ๐™ค๐™ฃ ๐™ฉ๐™๐™ค๐™จ๐™š ๐™ฌ๐™ž๐™ฉ๐™ ๐™™๐™ž๐™ง๐™š๐™˜๐™ฉ ๐˜ผ๐™„-๐™™๐™ง๐™ž๐™ซ๐™š๐™ฃ ๐™ง๐™š๐™ซ๐™š๐™ฃ๐™ช๐™š ๐™ค๐™ง ๐™ž๐™ฃ๐™›๐™ง๐™–๐™จ๐™ฉ๐™ง๐™ช๐™˜๐™ฉ๐™ช๐™ง๐™š ๐™š๐™ญ๐™ฅ๐™ค๐™จ๐™ช๐™ง๐™š): ๐Ÿ”น $NVDA (NVIDIA Corporation) (NVIDIA) - $4.47T mkt cap. AI GPU/data center revenue ~$62B in latest quarter alone; FY2026 total rev $216B, overwhelmingly AI-powered (up 65% YoY). The clear picks-and-shovels leader. ๐Ÿ”น $GOOG (Alphabet) (Alphabet) - $3.85T. Google Cloud AI services surging (48%+ growth in recent reports); DeepMind and Gemini driving enterprise adoption. ๐Ÿ”น $AAPL (Apple) (Apple) - $3.82T. Integrating AI (Apple Intelligence) across devices, though more consumer-focused than pure infrastructure play. ๐Ÿ”น $MSFT (Microsoft) (Microsoft) - $2.77T. Azure AI/cloud growth ~39% recently; OpenAI partnership and Copilot monetization adding billions in AI-attributable revenue (projected ~$26B in 2026 for Azure AI). ๐Ÿ”น $AMZN (Amazon.com Inc) (Amazon) - $2.51T. AWS AI services and custom chips (Trainium/Inferentia) accelerating cloud growth; heavy capex on AI infra. ๐Ÿ”น $TSM (Taiwan Semiconductor Manufacturing Co Ltd - ADR) (TSMC) - $1.90T. Foundry King is manufacturing AI chips for NVIDIA, $AMD (Advanced Micro Devices Inc), Broadcom, and hyperscalers. ๐Ÿ”น $AVGO (Broadcom Inc) (Broadcom) - $1.68T. Custom AI ASICs for Google/Meta + networking; AI revenue expected to double and become massive portion of total. ๐Ÿ”น $META (Meta Platforms Inc) (Meta Platforms) - $1.59T. Heavy investment in AI for ads recommendation, Llama models, and efficiency; strong cloud/AI infrastructure spend. ๐Ÿ”น $MU (Micron Technology, Inc.) (Micron) - $475B. High-bandwidth memory (HBM) exploding for AI training/inference; one of the top recent performers. ๐Ÿ”น $AMD - $386B. MI series GPUs are challenging NVIDIA in data centers; AI chip revenue is growing fast. ๐™†๐™š๐™ฎ ๐™˜๐™–๐™ซ๐™š๐™–๐™ฉ: "Profiting" here blends market cap (proxy for investor belief in AI upside), direct AI revenue where reported, and infrastructure exposure. Pure plays like $NVDA dominate hardware; hyperscalers ($MSFT, $GOOGL (Alphabet Inc Class A) $AMZN, $META) profit via cloud/services but spend massively on capex. Private players (OpenAI, Anthropic) generate big revenue but aren't publicly traded.
Not investment advice. The author may have financial interests in the mentioned instruments.