Amazon Reveals $15B AWS AI Run Rate, $20B Chip Revenue: CNBC

Amazon has disclosed that its cloud division AWS is generating an annual AI revenue run rate of more than $15 billion as of Q1 2026, while its in-house chip business has crossed $20 billion, according to CEO Andy Jassy’s annual shareholder letter cited by CNBC, providing investors with the clearest financial snapshot yet of its AI-driven growth.

The disclosure marks the first time the company has quantified its artificial intelligence revenue, offering concrete data points that analysts say could reshape investor sentiment amid Amazon’s aggressive capital spending strategy.

AWS AI Revenue Crosses $15 Billion

Jassy revealed that AWS’s AI-related services are now generating more than $15 billion in annualized revenue, a significant milestone for the company’s cloud business. The figure represents roughly 10% of AWS’s total annualized revenue run rate, which stands at approximately $142 billion.

The disclosure provides investors with a clearer understanding of how quickly AI is becoming a meaningful revenue contributor within AWS. Jassy noted that demand for AI services is accelerating rapidly, with growth described as “ascending” as enterprises expand adoption of generative AI and machine learning workloads.

Despite the growth, supply constraints remain a key challenge. AWS added 3.9 gigawatts of new power capacity in 2025 and plans to double its total capacity by 2027. However, some customers are still unable to secure the compute resources they require, highlighting ongoing infrastructure bottlenecks.

Chip Business Surpasses $20 Billion

In addition to AI services, Amazon disclosed that its chip segment, which includes Graviton, Trainium, and Nitro processors, is generating an annual revenue run rate exceeding $20 billion. The business is expanding at triple-digit growth rates year-on-year.

Jassy emphasized that the chip division is becoming a core driver of AWS economics, lowering costs and improving performance for cloud customers. He indicated that if Amazon commercialized its chips externally in a manner similar to other semiconductor firms, the segment could reach an estimated $50 billion annual revenue scale.

Demand for these chips remains strong. Trainium2 capacity has largely sold out, while Trainium3—launched in early 2026—is nearly fully subscribed. Even Trainium4, expected to be widely available in about 18 months, has already seen significant reservations.

Additionally, two major customers reportedly sought to purchase all available Graviton chip capacity for 2026, underscoring the strategic importance of Amazon’s custom silicon offerings.

$200 Billion Capex Backed by Customer Commitments

Amazon plans to invest approximately $200 billion in capital expenditures in 2026, largely directed toward AI infrastructure, data centers, and chip development. Jassy stated that this spending is supported by substantial customer commitments rather than speculative demand.

According to the company, a significant portion of the planned investment is already backed by existing agreements, with monetization expected to materialize between 2027 and 2028. Among these commitments is a deal with OpenAI valued at more than $100 billion.

Jassy argued that the scale of investment reflects a long-term opportunity in artificial intelligence, describing it as a transformative growth phase for the technology sector.

Demand Outpaces Supply in AI Infrastructure

The company highlighted that AI demand continues to outstrip available supply, particularly in compute capacity and advanced chip infrastructure. AWS is rapidly expanding its data center footprint and energy capacity to address this imbalance.

The addition of 3.9 gigawatts of power capacity in 2025 represents one of the largest infrastructure expansions in AWS history. However, even with these investments, the company acknowledged that customer demand for AI workloads remains higher than available resources.

This imbalance has reinforced Amazon’s decision to accelerate capital spending, as it seeks to capture market share in the rapidly expanding AI cloud segment.

Investor Sentiment Shifts on Greater Transparency

The detailed disclosures in Jassy’s letter appear to have positively influenced market sentiment, with Amazon shares rising following the announcement, CNBC reported. Analysts noted that the release of concrete financial data provides greater visibility into the company’s AI monetization strategy.

The combination of strong AI revenue growth, a rapidly expanding chip business, and large-scale customer commitments has strengthened the investment case for Amazon, particularly as it navigates a capital-intensive growth phase.

While the company remains in the midst of heavy spending, the latest disclosures suggest that key revenue streams are already scaling, offering investors clearer evidence of returns from its AI and infrastructure investments.