This chart shows where every $100 of AI infrastructure spending could flow across the supply chain (Save this).
The biggest allocation goes to semiconductors, which receive approximately $50 of every $100 spent.
Within semiconductors, accelerators receive $25, memory ICs receive $15, and CPUs, other chips, and server production receive $10.
NVIDIA is the clearest beneficiary of accelerator spending because its GPUs power many of the AI systems being built today.
Memory companies such as Micron, SK Hynix, and Samsung could benefit from the $15 allocated to memory ICs.
This is a broader memory opportunity because AI systems require HBM, conventional DRAM, and enterprise SSDs, not just one type of memory.
HBM supports high performance accelerators, DRAM supports system memory, and NAND flash supports data storage for AI workloads.
Networking equipment receives approximately $15 of every $100.
Broadcom and Marvell could benefit from network processors, while Arista and Cisco could benefit from switches and datacenter networking equipment.
Optical transceiver suppliers could also benefit because AI data centers need faster connections between thousands of GPUs.
Power receives approximately $20 of every $100, making electricity one of the largest parts of the AI infrastructure buildout.
Constellation Energy, Vistra, and Talen Energy could benefit from rising demand for reliable nuclear power and other forms of electricity generation.
Companies such as GE Vernova, Eaton, and Quanta Services could benefit from turbines, transformers, power management equipment, grid connections, and transmission infrastructure.
Cooling receives approximately $7.50 of every $100 because AI servers generate significant amounts of heat.
Vertiv, Modine, and Johnson Controls could benefit from cooling systems, chillers, cooling towers, and other thermal-management equipment.
Facilities and construction receive another $7.50 of every $100.
Data center developers, construction companies, and materials suppliers could benefit from land acquisition, building shells, structural work, interior fit-outs, and facility support.
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