Amazon cuts about 14,000 corporate jobs to accelerate its AI push and streamline layers, following earlier reports that as many as 30,000 corporate roles were under review. Leadership framed this as reallocating spend to AI, AWS, and data center infrastructure rather than simple cost cutting. WINNERS -AI infrastructure and acceleratorsReason: More spend on model training and inference lifts demand for GPUs, networking, and custom silicon as Amazon shifts resources into AI. NVIDIA - $NVDABroadcom - $AVGOData center REITs and operatorsReason: Capital is moving into new U.S. data centers to power AI workloads (Amazon has flagged multi-billion investments in new facilities), supporting colocation and interconnection demand. Equinix - $EQIXDigital Realty - $DLRAI-native cloud software on AWSReason: As AWS becomes the priority growth engine, observability, data, and AI platform partners tied to cloud usage can see tailwinds from heavier AI adoption. Datadog - $DDOGSnowflake - $SNOWLOSERS -HR tech and recruiting platformsReason: Large-scale corporate headcount cuts reduce hiring volumes and seat expansion at enterprise customers. Amazon’s move underscores a broader efficiency trend across Big Tech. ZipRecruiter - $ZIPUpwork - $UPWKWest Coast office landlords exposed to techReason: Leaner HQ footprints and slower rehiring can pressure occupancy and pricing in tech-heavy office markets. Boston Properties - $BXPKilroy Realty - $KRCIT services and staff-augmentation consultantsReason: When enterprises automate back-office work with AI and flatten management layers, external project work and seat-based contracts can come under pressure. Accenture - $ACNCognizant - $CTSH#StockMarket #Trading #Investing #DayTrading #SwingTrading #AI #AWS #Semiconductors #DataCenters #Cloud #REITs #HRtech #TechStocks

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“What did the council decide on item 42?” — answered with the speaker and the moment.