And the conclusion is clear: The strongest growth in the S&P 500 is still concentrated around AI infrastructure. Not consumer apps. Not speculative software. Infrastructure. ⚡ The screen focuses on companies expected to deliver >10% annual revenue growth from 2024–2028. The biggest projected winners for 2026? ➡️ Memory ➡️ Compute ➡️ Servers ➡️ Cooling ➡️ Storage ➡️ Networking Here’s where the growth is clustering: • Micron ($MU): +230% expected revenue growth AI demand is reshaping the memory cycle. High-bandwidth memory (HBM) and advanced packaging are becoming strategic bottlenecks. • Broadcom ($AVGO): +74% Custom AI chips, optical networking, VMware integration — one of the most diversified AI infrastructure plays. • Nvidia ($NVDA): +71% Still the dominant compute layer powering enterprise AI deployment at scale. But the AI stack goes far beyond semiconductors: • Super Micro ($SMCI): +68% AI server density demand remains explosive, despite profitability concerns. • Vertiv ($VRT): +33% Cooling and power are now mission-critical as GPU clusters scale. • Seagate ($STX): +29% AI creates massive storage demand through training data, inference logs, and cloud archives. • Arista Networks ($ANET): +27% Networking becomes essential as large-scale AI clusters increasingly rely on high-performance Ethernet fabrics. What stands out most: AI is no longer just a software story. The real bottlenecks — and the strongest projected growth — sit inside the physical infrastructure layer powering the AI economy. Goldman’s screen also highlights a second theme: Platform + healthcare compounders. • DoorDash ($DASH) → logistics scale • Axon ($AXON) → public safety software • Meta ($META) → AI-driven ad monetization • Eli Lilly ($LLY) & Insulet ($PODD) → durable healthcare demand The market narrative may evolve. But for now, capital expenditure still follows one core reality: No AI revolution without infrastructure. Source: Sergey