Artificial intelligence has created a new arms race among technology companies. Most investors focus on chips, power and data centers. But another resource is quickly emerging as a critical battleground: water. Amazon.com Inc. revealed this week that its data centers consumed approximately 2.5 billion gallons of water in 2025, while achieving what the company says is a water usage efficiency rate of just 0.12 liters per kilowatt-hour. According to Amazon, that compares with an industry average of 0.84 liters per kilowatt-hour, noted I/O Fund's Lead Tech Analyst Beth Kindig. The figures suggest Amazon's facilities use roughly 86% less water than the industry benchmark, highlighting a growing competitive advantage that could become increasingly important as artificial intelligence infrastructure expands.

AI’s Next Resource Constraint

For the past two years, the AI conversation has centered on NVIDIA Corp., graphics processors and soaring demand for computing power. More recently, investors have shifted their attention to electricity. Technology giants, including Amazon, Microsoft Corp., Alphabet Inc., Meta Platforms Inc. and Oracle Corp. have collectively committed hundreds of billions of dollars toward AI infrastructure, while racing to secure access to power generation and grid capacity.

Yet water may be becoming just as important. Large data centers rely on sophisticated cooling systems to keep servers operating efficiently. As AI clusters grow larger and more power-hungry, cooling requirements are increasing as well. That has drawn growing scrutiny from regulators, environmental groups and local communities concerned about water availability.

Why Amazon’s Numbers Matter

Amazon's disclosure arrives at a time when investors are paying closer attention to the environmental footprint of artificial intelligence. While Amazon's use of approximately 2.5 billion gallons may sound enormous, the company argues its facilities are significantly more efficient than industry averages when measured by the amount of computing power delivered.

If accurate, the comparison suggests Amazon may have built an advantage that extends beyond cloud market share and AI chips. Efficient cooling systems can lower operating costs, reduce environmental concerns and potentially make it easier to win approval for future data center projects. In an industry increasingly constrained by physical resources, efficiency may become just as valuable as scale.

The AI Race Is Expanding Beyond Chips

For investors, the bigger takeaway may be that the AI infrastructure story continues to evolve. First, it was chips. Then it was power. Now water is entering the conversation. Companies capable of delivering AI computing while minimizing electricity consumption, cooling requirements and water usage could gain an edge as competition intensifies.

That means investors evaluating AI winners may eventually need to look beyond Nvidia and cloud revenues. The next competitive battleground could be the resources required to keep those AI systems running. And according to Amazon's latest figures, water efficiency is becoming one of them.

Amazon.com Inc. is exploring the sale of its proprietary Trainium artificial intelligence chips to external companies, marking a strategic expansion beyond its Amazon Web Services (AWS) ecosystem. The initiative aims to compete directly with NVIDIA Corp. in the AI infrastructure market by leveraging custom silicon designed for specific cloud and AI workloads. This move could establish a new revenue stream for Amazon while addressing growing demand for sovereign AI infrastructure outside the United States.

Amazon AI chief Peter DeSantis confirmed that discussions with potential customers have begun, though specific partners were not disclosed. "We view AI infrastructure as rapidly evolving," DeSantis said. "And we're constantly looking at ways to get to more customers." He noted that selling Trainium chips outside AWS would not cannibalize the cloud business due to significant "underconsumption in AI."

Chip Availability and Customer Interest

The company reported strong demand for its hardware, with third-generation Trainium chips already "largely sold out." Customer interest is reportedly building for the fourth-generation chips expected next year. Current users of Trainium technology through AWS include OpenAI, Anthropic, and Uber Technologies. The expansion targets third-party data centers, positioning Amazon as an alternative to NVIDIA's general-purpose offerings.

Market and Technical Context

The announcement coincided with a broader rally in technology stocks, which saw the Nasdaq Composite gain 2.3% and the S&P 500 advance 0.8%. Amazon shares rose 2.55% to $243.56 on the news. Despite the positive sentiment, technical indicators present a mixed picture; the stock trades above its 100-day and 200-day moving averages but remains below its 20-day and 50-day averages. Analysts maintain a consensus Buy rating with an average price target of $320.86.

Upcoming Earnings and Analyst Actions

Amazon is scheduled to report second-quarter results on July 30. Wall Street projects earnings of $1.81 per share on revenue of $196.03 billion, up from $1.68 per share and $167.70 billion respectively a year prior. Recent analyst adjustments include Truist Securities raising its price target to $320, Wells Fargo lowering its target to $312, and TD Cowen maintaining a $350 target.