9 days ago
TechCrunch Jul 30, 2026

Investors love AI, as long as you’re a cloud host

Amazon’s latest earnings report for the second quarter of 2026 impressed investors with a 20% increase in net sales and particularly strong cloud revenue from its AWS division. The company’s stock jumped nearly 10% in after-hours trading. Despite expectations that investors might balk at rising expenses, Amazon’s capital expenditures surged to $173 billion for the fiscal year ending June 30, up significantly from the previous year, with plans to increase the 2026 capital spending forecast from $200 billion to $220 billion.

This aggressive investment focuses heavily on data center infrastructure including GPUs, energy solutions, and physical properties to support cloud computing and AI services. Although Amazon’s free cash flow turned negative for the first time in 2026, the 37% yearly growth in AWS revenue to $42 billion reassures investors that demand keeps pace with the expanded supply. Amazon is also developing proprietary chips like the Trainium TPU and Graviton processors to boost cloud margins, signaling a multifaceted AI strategy beyond just data center expansion.

Similar trends appear at other major tech companies such as Microsoft and Google, which also reported strong cloud revenue growth driving their stock prices up. In contrast, companies like Meta that continue to spend heavily on AI without a clear, profitable cloud revenue stream faced investor skepticism, with Meta’s shares dropping 8% after its earnings release. This contrast highlights that investors currently favor AI plays tied directly to cloud hosting rather than speculative AI lab projects.

Overall, the market sentiment underscores that cloud infrastructure providers are viewed as the most stable beneficiaries of AI’s economic growth at present. However, these cloud giants’ fortunes depend on sustained AI demand because the revenues they earn come from AI companies and their customers. If the broader AI market struggles, it could negatively impact these infrastructure providers as well, posing a critical question about whether AI’s rapid expansion can justify the enormous investments being made.

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