Alphabet reported a 25 percent rise in total revenue to $127.6 billion, driven largely by Google Cloud, whose earnings more than doubled to roughly $31 billion. Despite the top-line growth, net profit slipped 25 percent and the company posted a free-cash-flow deficit exceeding $9 billion, nearly twice the shortfall recorded three months earlier. The combined effect pushed Alphabet’s market value down to $3.46 trillion.
Google disclosed that AI-generated summaries appearing in search results are cannibalising its traditional ad placements, the core of its business model. The revelation sent the stock to a six-month low, a decline of almost 13 percent on the day. Forrester principal analyst Tracy Woo said the outcome “highlights the challenge of funding massive AI investments while maintaining the strength of established businesses.” Google chief business officer Phillip Schindler later described his outlook as “very good about our trajectory.”
Amazon posted an 11 percent increase in quarterly revenue to $201 billion, yet its cash-flow statement showed a loss of $42 billion, a six-fold jump from the prior quarter. Chief executive Andy Jassy linked the outflow to investments in two prospective trillion-dollar businesses: the design and sale of proprietary silicon chips and the Bedrock AI developer platform that aggregates major models for paying customers. He acknowledged that spreading the spend over 25 years would be easier, but insisted the current pace was necessary.
Microsoft’s quarterly revenue rose 19 percent to $92.3 billion, with its cloud segment expanding 30 percent to $63 billion. The firm reported a modest share-price dip of less than one percent after announcing a $5 billion reduction in AI-related capital spending and a plan to trim thousands of jobs to curb costs. CEO Satya Nadella highlighted that usage of the Copilot AI assistant had nearly doubled since July, and daily active users had surged 500 percent year over year.
Wall Street’s reaction across the three tech giants underscores the tension between aggressive AI spending and the preservation of cash-generating operations. Tracy Woo observed that while enterprise demand for AI remains robust, the sector still faces a fundamental question about which companies will ultimately capture the bulk of AI-driven value. The mixed earnings releases suggest that investors are weighing short-term cash-flow pressures against long-term strategic bets on artificial-intelligence capabilities.