Hyperscaler

Hyperscalers build and run massive networks of data centers offering computing, storage, networking and software services to businesses and consumers. The term most often refers to Amazon Web Services, Microsoft Azure and Google Cloud, and is often extended to Meta and Oracle given the scale of their infrastructure. They design custom chips, servers and networking, and secure power and land years in advance.

Hyperscalers are the largest buyers of AI chips and data center capacity, so their capital expenditure plans are a primary driver of the AI supply chain, from semiconductors to power equipment. Investors track their capex, cloud revenue growth, backlog and depreciation to judge returns on AI investment. Their scale gives them cost advantages, but heavy spending can pressure free cash flow.

For allocators, hyperscaler guidance is one of the most important signals for AI infrastructure demand. Example: when a hyperscaler raises its annual capex forecast on an earnings call, shares of chip, networking and power equipment suppliers often move in response.