The AI bull run is just getting started and here is how you want to position before the biggest spending wave (Save this). The chart shows hyperscaler capital spending rising from $491 billion in 2025 to an estimated $950 billion in 2026 and $1.4 trillion in 2027 and by 2030, spending could reach approximately $3 trillion. The right side of the chart is especially important because analysts have continued raising their estimates. The 2026 forecast increased from $731 billion to $950 billion, while the 2027 estimate rose from $833 billion to $1.4 trillion which suggests the AI infrastructure buildout is happening faster and at a larger scale than previously expected. Now here is how you can benefit from all of this. Nvidia is the obvious beneficiary but investors should also look at the companies supplying the less visible parts of the AI ecosystem. Credo Technology makes high speed connectivity products that allow AI chips, servers, and switches to communicate while Astera Labs provides connectivity solutions that link CPUs, GPUs, memory, and storage inside AI servers. As AI clusters become larger, these companies could benefit from the need to move data faster between processors. Celestica manufactures and integrates servers, networking systems, and other data center hardware for large technology customers while Fabrinet produces complex optical and electronic equipment for other companies. These businesses may benefit as hyperscalers outsource more of the manufacturing required to build AI infrastructure. Applied Optoelectronics is a more direct optical networking play and it has announced a volume order for 1.6T data-center transceivers, which are designed to move data between next-generation AI systems. Coherent and Lumentum also provide lasers, photonics, and optical components used in high-speed networks. Semtech supplies signal conditioning and connectivity technology that helps preserve data quality as transmission speeds increase while Arista Networks and Cisco could benefit from selling the switches and networking systems that connect AI servers across data centers. Marvell is exposed to custom AI chips, networking, and optical connectivity and ass cloud companies develop their own AI processors, Marvell could benefit from helping them design and connect those systems. The power side of the buildout could create another group of winners. Advanced Energy Industries supplies power conversion systems used in data centers and semiconductor equipment while Modine provides thermal management products, while Vertiv supplies cooling, power, and data center infrastructure. This is exactly why we’re positioned across the entire AI infrastructure stack at Milk Road, not just there big names. If you want to see the trades we’re making around this spending wave, join us using this link.