Google and Amazon released their annual sustainability reports last week, revealing significant emissions increases driven by investments in artificial intelligence. Google's total carbon emissions rose 25% year-over-year, while Amazon's increased 16%. Microsoft is expected to show a similar trend in its upcoming report. All three companies have pledged to achieve net-zero carbon emissions, but their AI ambitions are making those goals harder to reach.
Rising Emissions from AI Data Centers
The reports attribute the emissions surge to the construction of new data centers, fuel used for deliveries, and expanding electricity usage. Google acknowledged the challenge, stating: "The environmental footprint of the data centers that power AI is growing, creating a dual challenge: managing that environmental footprint while simultaneously building infrastructure to meet growing demand and realize AI's full potential." Amazon similarly noted: "We recognize that the path to being a more sustainable company is not a straight line. Though our emissions increased in 2025, we remain steadfast in our commitment to sustainability."
Microsoft's 2025 sustainability report documented a 23% increase in emissions compared with a 2020 baseline. The company's investment in AI infrastructure has expanded since last year, suggesting 2026's disclosures will likely reveal a similar or larger spike. Meta's 2025 report showed emissions jumped 64% year-over-year despite a pledge of net-zero emissions by 2030.
Fossil Fuels Power AI Growth
All four companies have turned to fossil fuels to provide additional power for AI data centers, signing contracts for large amounts of gas-generated electricity in Texas, Indiana, and Louisiana. The non-profit Environmental Integrity Project released a report reviewing plans for 74 gas-fired power plants catering to data centers across the US. The group estimates these facilities could emit upwards of 660 million tons of greenhouse gas pollution per year—equivalent to the entire country of Australia.
Google has noted increased emissions every year since 2023, attributing the trend to data center energy consumption. By 2025, the company stopped speaking in terms of concrete goals for 2030 and instead framed its emissions ambitions as "climate moonshots," a term denoting speculative projects that may or may not come to fruition.
Meta's Frantic Search for New Revenue
Meta is facing a tumultuous year, with its stock down about 9% year-to-date. The company laid off about 10% of its global workforce in May, including over 2,000 workers at its Menlo Park headquarters. A messy AI-related reorganization led a top executive to admit internally that leadership did an "atrocious job explaining the vision" to employees. CEO Mark Zuckerberg conceded in a town hall that its plan to build AI agents wasn't progressing as hoped.
Meta is reportedly mulling a cloud computing business, selling AI computing power to developers similar to Amazon Web Services. Bloomberg reported that the company would enter the cloud computing market. Additionally, The New York Times reported that Meta is developing an internal app called "Arena" for prediction markets, similar to Polymarket and Kalshi. The app would be independent from Meta's existing products.
Mike Proulx, market research firm Forrester's VP research director, said the move came out of "Meta's familiar copycat playbook." He added: "Set aside the debate on whether prediction market apps are investing or gambling, they're habit-forming. And Meta is already facing high-profile litigation tied to concerns about addictive product design. The irony here is hard to miss and not a great look for a company already under scrutiny."
Impact on Climate Pledges
Google, Amazon, and Microsoft had positioned themselves as climate leaders in the tech sector during the previous decade, when investors prioritized ESG (environmental, social, and governance). Each set ambitious net-zero carbon goals and invested heavily in sustainable energy projects like wind and solar. However, the AI arms race has shifted priorities, with stock prices now dependent on AI integration, which requires substantial energy. Their desire for power has outstripped their sustainability commitments, leading to softened emissions promises.
