🚨 AI CAPEX COULD REACH $1.58 TRILLION IN 2027 Morgan Stanley Maps the Biggest AI Infrastructure Beneficiaries WHO IS FUNDING THE AI BOOM? $GOOGL — $375B $AMZN — $270B $META — $221B $MSFT — $209B $SPCX — $132B $ORCL — $97B $CRWV — $47B $NBIS — $37B Plus $195B in lease-related CapEx. WHERE WILL THE MONEY FLOW? 1. SEMICONDUCTORS & SERVERS — $672B $NVDA $AMD $AVGO $MRVL $DELL $HPE $SNPS $CDNS AI accelerators, custom silicon, servers, and chip-design software form the largest spending category. 2. NETWORKING & OPTICAL COMMUNICATIONS — $215B $ANET $CSCO $CLS $CIEN $COHR $LITE $AAOI $GLW Rising bandwidth demands and the transition toward 800G/1.6T optical technology drive networking investment. 3. DATA CENTER INFRASTRUCTURE — $119B $VRT $ETN $GEV $BE $CARR $CAT $CMI $FIX $EME Power generation, electrical equipment, cooling, and construction remain critical to expanding AI capacity. 4. U.S. MEMORY & STORAGE — $217B $MU $SNDK $WDC $STX HBM, enterprise SSDs, and high-capacity storage support growing AI computing and data requirements. 5. INTERNATIONAL SUPPLY CHAIN — $511B Samsung, SK hynix $SKHY, Foxconn, Quanta, Wistron, and leading Asian optical suppliers could capture significant demand. THE BIGGER PICTURE: Morgan Stanley estimates that approximately 65% of AI infrastructure spending could translate into S&P 500 company revenue, supporting roughly 25% of the index's projected sales growth in 2027. KEY TAKEAWAY: The AI investment cycle is expanding beyond GPUs into networking, optical components, memory, power, and cooling. The next opportunity may depend less on who spends the most and more on which suppliers can overcome infrastructure bottlenecks.