Amazon’s AWS Growth Hits Multi-Year High Amid $1 Trillion AI Spending Race
By TopHolding Editorial · Friday, July 31, 2026 at 7:01 AM

AWS revenue growth hits a five-year high as Big Tech's collective AI spending surpasses $1 trillion, despite significant corporate job cuts.
Amazon’s Cloud division, AWS, reported its fastest growth since 2021, fueled by an explosion in demand for artificial intelligence and proprietary silicon. The company revealed that its AI business and custom chips have each reached $25 billion in annualized revenue, effectively doubling from the previous year. AWS now accounts for nearly 61% of Amazon’s total operating profit, maintaining a healthy 36.8% operating margin.
The results highlight a broader 'arms race' among Big Tech firms, with Google, Amazon, Microsoft, and Meta collectively pushing their AI-related capital expenditure past the $1 trillion mark since the boom began in 2023. Microsoft recently reported over $100 billion in annual revenue from Azure and its cloud services, while Google Cloud revenue surged 82% to nearly $25 billion. These companies are racing to construct massive data centers equipped with the high-performance chips necessary to train and deploy generative AI models.
However, the aggressive spending is creating internal friction. Reports indicate that Amazon has identified instances where AI implementation led to 'runaway spending' on cloud resources, highlighting the difficulty of maintaining efficiency during rapid integration. Furthermore, while these giants are investing billions in hardware, they have simultaneously cut approximately 140,000 jobs over the past year. Amazon, Oracle, Meta, and Microsoft account for 50,000 of those reductions, as corporate workforces are 'right-sized' to offset the high costs of the AI buildout.
Investors are now questioning which tech giant will be the first to blink on capital expenditure. Meta recently saw its stock drop 10% after forecasting steeper-than-expected AI costs and a missed forecast. While the cloud units are seeing record growth, the pressure to prove that these trillion-dollar investments will lead to sustainable long-term profits is mounting as the 'AI utility' era begins to mature.