The four tech giants, namely Microsoft, Alphabet, Meta, and Amazon, have reaffirmed their massive AI spending plans for the year, as indicated by their latest earnings reports. With a combined market capitalization of approximately $12 trillion, these companies are poised to spend around $650 billion on AI infrastructure in 2026. Although most of them did not provide a detailed breakdown of their AI expenditures in their recent earnings reports, it is clear that they are on track to meet their AI spending targets. This has significant implications for the digital asset sector, particularly for bitcoin miners who are increasingly shifting their focus from mining to hosting AI computing services.
The miners are leveraging their existing data centers to diversify their revenue streams, as they face reduced margins due to lower bitcoin prices and increased competition. The AI-driven investments have a notable impact on bitcoin mining stocks, such as IREN, TeraWulf, and Cipher Digital, which have seen fluctuations in their stock prices. Meanwhile, the tech giants' stock prices have also been affected, with Microsoft down 2.4%, Alphabet up 6%, Meta down 6.6%, and Amazon down 3.7% in after-hours trading. The upcoming earnings report from chipmaker Nvidia on May 20 is expected to be a crucial test of overall market sentiment and miners' performance.
In their earnings reports, the tech giants highlighted their AI-driven growth and investments. Microsoft reported a 123% year-over-year increase in its AI business, with revenue of $37 billion.
Alphabet's AI investments were cited as a key driver of growth, with Google Cloud revenue rising 63% to $20 billion. Amazon's infrastructure spending surge was primarily driven by its AI investments, with a year-over-year increase of $59.3 billion in purchases of property and equipment.
Meta pointed to rising AI infrastructure costs as a key driver of spending, with capital expenditures of $19.84 billion for the quarter. The company raised its full-year outlook to $125-145 billion, reflecting higher component pricing and additional data center costs to support future capacity.