AI spending

Meta is expected to report its fastest revenue growth since 2021 in upcoming earnings, with investors focused on the company's significant AI infrastructure spending levels. This matters because Meta's AI capital expenditure intensity signals broader market demand for data center hardware and semiconductor components needed for AI training and inference.

With 90% of AI projects failing despite $2.52 trillion in forecast spending by 2026, Gartner recommends focusing on capacity building and partnerships over random exploration. This highlights massive capital inefficiency in AI investments that could impact tech sector valuations and resource allocation.