
Tech • IA • Crypto
Big Tech earnings highlight surging cloud growth, resilient core businesses, and diverging strategies in the race to monetize artificial intelligence.
Alphabet delivered standout results, with its stock rising about 10% after earnings. Core search revenue grew 19% year over year, countering fears that AI chatbots would erode its main business. Google Cloud surged 63%, reaching roughly $20 billion in revenue, while backlog nearly doubled to over $460 billion, with more than half expected to convert within two years.
Across major players, cloud growth dominated investor focus. AWS grew 28%, Azure about 40%, and Google Cloud 63%, underscoring intense demand for AI infrastructure. Analysts increasingly prioritize cloud metrics over broader company performance, reflecting the sector’s role as the backbone of AI deployment.
Microsoft reported revenue of $82.9 billion, up 18%, with solid but unspectacular market reaction. Adoption of Copilot reached about 20 million users, still small compared to its 450 million enterprise seats. Changes to its partnership with OpenAI, including the loss of Azure exclusivity, create tension between cloud growth and equity upside from OpenAI’s expansion.
Amazon posted $181.5 billion in quarterly revenue, up 17%, with AWS outperforming expectations. Its AI strategy emphasizes infrastructure scale and partnerships with firms like OpenAI and Anthropic, supporting continued heavy capital expenditures. Advertising also remained strong, generating $17.2 billion.
Meta reported $56.3 billion in revenue, up 33%, but shares fell nearly 10% after raising capital expenditure guidance to as high as $145 billion annually. Investors remain uncertain how its AI investments will translate into returns without a large cloud business. Daily active users declined sequentially for the first time, though disruptions in Iran and Russia were cited as causes.
The earnings cycle revealed distinct approaches: Google as a full-stack AI platform, Microsoft focused on enterprise adoption, Amazon on infrastructure and partnerships, and Meta on advertising optimization and long-term bets on advanced AI. This fragmentation marks a shift from a unified “spend big on AI” narrative to more differentiated strategies.
Despite heavy AI spending, valuation metrics for major firms remain relatively restrained. Price-to-earnings ratios sit around 16–25x for Meta, Google, Amazon, and Microsoft, far below dot-com era extremes that exceeded 200x for some companies. However, pockets of higher-risk valuations persist in smaller or newer firms.
Industry leaders argue AI will expand economic activity rather than destroy jobs, citing productivity gains and increased demand. Critics remain concerned about near-term disruption, but current corporate behavior suggests companies are using AI to grow output rather than simply cut costs.
The latest earnings confirm that AI is driving massive investment and growth, but companies are pursuing increasingly distinct paths, leaving markets to judge which strategies will deliver sustainable returns.