The four tech giants, including Microsoft, Alphabet, Meta, and Amazon, have reported their quarterly earnings, indicating that they are still on track to meet their massive AI spending targets for the year. With a combined market capitalization of approximately $12 trillion, these companies are expected to spend around $650 billion on AI infrastructure in 2026, according to an analysis by Bridgewater Associates. Although most of them did not provide a detailed breakdown of their AI spending in their latest earnings reports, they appear to be proceeding with their AI investments as planned.
This has significant implications for the digital asset sector, particularly for bitcoin miners, who are increasingly diversifying their revenue streams by hosting AI computers. The miners already have the necessary data centers and infrastructure in place to support AI computing, and they are leveraging this to reduce their dependence on bitcoin mining. Stocks with exposure to AI-linked bitcoin mining and hyperscaler infrastructure deals, such as IREN, TeraWulf, and Cipher Digital, have seen fluctuations in their stock prices following the earnings reports. The next major test of market sentiment and the impact on miners will come when chipmaker Nvidia reports its earnings on May 20.
The tech giants' earnings reports and statements from their CEOs highlight the growing importance of AI in their business strategies. Microsoft reported fiscal Q3 2026 revenue of $82.9 billion, with its AI business generating $37 billion in revenue, up 123% year-over-year. Alphabet reported Q1 2026 revenue of $109.9 billion, with Google Cloud revenue rising 63% to $20 billion, driven in part by AI-driven demand.
Amazon reported Q1 2026 revenue of $181.5 billion, with AWS revenue coming in at $37.6 billion, and noted that its free cash flow fell sharply due to a surge in infrastructure spending on AI. Meta reported Q1 2026 revenue of $56.31 billion, with capital expenditures of $19.84 billion, and raised its full-year outlook to $125-145 billion, driven by higher AI infrastructure costs.