A warning sign about AI’s real cost, courtesy of Google and Amazon. Posted on : Jul 03 - 2026

Artificial intelligence has become one of the most resource-intensive technologies ever developed, consuming vast amounts of energy and water. Recent sustainability reports from Google and Amazon offer a sobering look at the environmental costs associated with the rapid expansion of AI.

This week, both companies published updated sustainability reports, and the findings underscore the growing challenge of balancing AI innovation with climate commitments. Google's carbon emissions increased by 25% compared to the previous year, while Amazon reported a 16% rise. Both companies remain committed to achieving net-zero emissions, but the accelerating demand for AI infrastructure is making those targets significantly more difficult to reach.

While neither company explicitly attributes the increase in emissions to AI, the underlying data strongly suggests that AI-related investments are a major factor.

AI's Expanding Energy Footprint

Google and Amazon both acknowledge that their energy consumption has grown substantially as AI adoption accelerates. They also highlight improvements in carbon intensity—the amount of emissions generated relative to revenue growth. However, lower carbon intensity does not change the fact that total emissions continue to rise.

The reports also emphasize AI's potential to contribute to environmental solutions, but a closer examination reveals the significant environmental costs associated with building and operating AI systems.

Notably, emissions from direct energy consumption are not the primary issue. Years of investments in renewable energy have helped both companies limit operational emissions. However, growing AI demand is increasingly pushing major technology firms toward additional power sources, including natural gas, to support expanding data center operations.

The Growing Impact of Scope 3 Emissions

The largest contributor to rising emissions for both companies is "Scope 3" emissions—indirect emissions generated across supply chains, including manufacturing, construction, and purchased goods and services.

For Google, much of the increase appears to stem from capital investments, particularly data center expansion. The company's Scope 3 emissions rose by approximately 2.1 million metric tons last year and have now doubled compared to its 2019 baseline.

Amazon faces a similar challenge. Its increased emissions are largely tied to capital expenditures, fuel consumption, and energy-related activities. The company's aggressive expansion of data center infrastructure is a significant factor. Amazon noted that in 2025 it added more global data center capacity than any other company, including more than 1.2 gigawatts of capacity during the fourth quarter alone.

AI Is Reshaping the Path to Net Zero

For years, technology companies were able to offset much of their operational carbon footprint through renewable energy purchases. The explosive growth of AI has fundamentally changed that equation.

The construction of AI data centers requires enormous quantities of steel and cement—industries that remain among the world's largest sources of carbon emissions. Although low-carbon alternatives are being developed, they have not yet reached the scale required to support the current pace of AI infrastructure expansion.

The AI hardware supply chain presents another challenge. Manufacturing advanced GPUs and memory chips requires substantial amounts of energy, and many leading semiconductor fabrication facilities operate in regions where electricity grids remain heavily dependent on fossil fuels. In addition, some of the industrial gases used in semiconductor manufacturing have global warming effects thousands of times greater than carbon dioxide.

The Challenge Ahead

These obstacles are significant but not insurmountable. To meet their net-zero commitments, companies such as Google and Amazon will likely need to accelerate investments in renewable energy, support the commercialization of low-carbon industrial materials, and significantly expand their use of carbon removal technologies.

The AI revolution promises enormous technological and economic benefits. However, the latest sustainability reports from Google and Amazon serve as a reminder that the environmental costs of building the infrastructure behind AI are becoming increasingly difficult to ignore.