Amazon's cloud computing unit, Amazon Web Services (AWS), has reported an annualized AI revenue run rate exceeding $15 billion, CEO Andy Jassy revealed in his annual shareholder letter. This marks the first time the company has disclosed direct financial returns from its AI efforts, signaling a significant milestone in its long-term investment strategy.
The disclosure comes as Amazon prepares to spend $200 billion on capital expenditures in 2026, primarily focused on AI infrastructure, data centers, and custom chips. Jassy defended the aggressive spending, stating that the investments are backed by customer commitments and a once-in-a-generation technological shift. He emphasized that AWS's AI revenue is "ascending rapidly," though growth is constrained by industry-wide capacity limitations.
Deeper Dive & Context
AI Revenue and Growth
AWS's AI revenue represents roughly 10% of its $142 billion annualized revenue run rate, a substantial increase from near-zero three years ago. Jassy noted that without current capacity constraints, the cloud business would be growing even faster. He also reiterated a previous prediction that AI could help AWS reach $600 billion in annual sales, double his earlier estimate.
Custom Chip Business Expansion
Amazon's custom chip business, which includes Graviton processors and Trainium AI chips, has achieved an annual revenue run rate of over $20 billion, growing at triple-digit percentages year over year. Jassy highlighted that Trainium3, the latest AI chip, is 30-40% more price-performant than its predecessor and is nearly fully subscribed. He suggested that Amazon may sell racks of these chips to third parties in the future, increasing competition with Nvidia and AMD.
Investor Concerns and Market Response
Despite the positive outlook, Amazon shares have struggled this year, down more than 4% year-to-date, as investors question the company's aggressive AI spending. Jassy addressed these concerns by emphasizing that customer commitments cover a substantial portion of the planned expenditures, with much of the spending expected to be monetized in 2027-2028. He also pointed to a $100 billion deal with OpenAI as evidence of strong demand.
Workforce Adjustments
As Amazon invests heavily in AI, it has also cut around 30,000 jobs in recent months to streamline operations and reduce bureaucracy. The company aims to balance its spending with cost-cutting measures to maintain financial stability.
Industry Implications
The rapid growth of Amazon's AI and chip businesses underscores a broader industry shift toward custom silicon solutions. Jassy compared the current transition to Amazon's earlier success in challenging Intel's dominance in the CPU space with its Graviton chips. He argued that customers are increasingly seeking better price-performance ratios, driving demand for Amazon's custom solutions.