Google’s and Amazon’s sustainability numbers rise as AI demand grows, according to new disclosures

Alphabet’s Google and Amazon have both pointed to commitments to reach net-zero carbon emissions in the coming years, but new sustainability reporting is showing how difficult that path may be as artificial intelligence drives higher electricity demand, according to coverage of the companies’ latest disclosures.

In the reporting discussed by TechCrunch, both companies said their energy use increased significantly over the last year as AI usage rose. The article links those shifts to changes in carbon footprint measures, including “carbon intensity,” a metric used to describe how much pollution a company generates relative to the revenue it brings in.

The same analysis said Google’s total carbon emissions were up 25% since the prior year, while Amazon’s were up 16%. Neither company was described as directly blaming AI for the increases, but the reporting argues the connection is visible through the companies’ discussion of higher energy usage tied to AI operations.

TechCrunch also reported that both companies appear to be managing emissions associated with energy purchases better than their overall footprint, suggesting a role for renewable procurement in keeping “energy purchase” related emissions from rising as fast. The article cautions, however, that future power sourcing could become more complicated if AI-driven demand forces utilities and data center operators to rely more heavily on non-renewable generation.

A central theme in the coverage is that AI is not just a software shift. The argument is that AI is consuming additional resources in the real world, including electricity and associated infrastructure, and that those costs do not always show up evenly across the environmental accounting categories companies use.

Both Google and Amazon, the article said, devote substantial space to explaining how AI can benefit environmental outcomes. TechCrunch’s framing is that those sections read like a counterweight to rising reported emissions, implying a tension between using AI to pursue climate solutions and using AI systems that increase operational energy needs.

The coverage also described the companies investing in natural gas power plants to meet AI-related demand, which could affect emissions trajectories. Because the analysis focused on interpreting sustainability reports and did not claim that all emissions growth is solely an AI effect, it underscores that the companies’ disclosures do not provide a single, simple cause.

For observers, the immediate takeaway is that net-zero timelines may face cost and operational pressure even for companies that have spent years buying renewable power and setting ambitious targets. In coming quarters, investors and customers will likely look for whether Google and Amazon adjust their emissions plans, power procurement strategies, and data center efficiency goals in response to the new reporting figures.