Some of the world’s largest technology companies are dramatically increasing their bets on carbon removal technologies, committing hundreds of millions of dollars to help scale an industry viewed as essential for meeting global climate goals.
The move comes along with a warning by a new study that the rapidly expanding data-center sector underpinning artificial intelligence faces growing threats from climate change itself.
Frontier, a carbon-removal coalition backed by major technology companies including Google, Stripe, and Shopify, announced Wednesday that it will inject an additional $915 million into the sector and welcomed AI company Anthropic as its newest participant.
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The latest commitment brings Frontier’s total funding pledges to $1.8 billion, making it one of the largest coordinated efforts globally to accelerate technologies designed to permanently remove carbon dioxide from the atmosphere.
The move comes as artificial intelligence companies race to build massive data centers, a trend that is driving a sharp increase in electricity consumption and placing climate concerns at the center of the industry’s long-term growth strategy.
Frontier was launched in 2022 with a simple but ambitious goal: to reduce the financial risks facing emerging carbon-removal companies by guaranteeing future purchases of carbon credits before the projects reach commercial scale.
The model mirrors the approach used by technology firms to support early-stage renewable energy markets, providing developers with predictable revenue streams that help attract investors and financing.
The coalition’s latest funding round will focus on technologies that many scientists believe could eventually remove billions of tons of carbon dioxide annually, including direct air capture, enhanced rock weathering, biomass-based carbon removal, and ocean alkalinity enhancement.
Each approach remains expensive and technologically challenging, but supporters argue that achieving global climate targets will be nearly impossible without large-scale carbon removal. Scientists see carbon removal as necessary because certain sectors of the economy, including aviation, shipping, heavy industry, and portions of manufacturing, remain difficult to fully decarbonize.
Even if renewable energy adoption accelerates, emissions from these sectors are expected to continue for decades, creating demand for technologies capable of extracting carbon already present in the atmosphere.
Frontier said it plans to make between 10 and 15 targeted investments through long-term offtake agreements lasting eight to ten years and extending as far as 2040. The long investment horizon reflects a growing recognition that carbon removal remains years away from becoming a mature industry.
The coalition did not disclose how much each participating company contributed.
Anthropic’s entry into Frontier is notable because it shows that artificial intelligence firms are increasingly becoming major players in climate-related investments. The AI sector’s explosive growth has created an environmental paradox. While AI promises to improve efficiency across industries, the infrastructure required to power advanced models is consuming enormous amounts of energy and water.
That challenge is becoming more urgent as data-center construction accelerates worldwide.
Research Supports the Move
A report released Thursday by climate risk analytics firm First Street found that 79% of global data-center capacity faces elevated exposure to acute climate hazards, including flooding, wildfires, and extreme wind events. The findings underscore a growing concern among investors and operators that climate risks could significantly affect the economics of AI infrastructure over the coming decades.
First Street analyzed 97 major global data-center markets and concluded that climate threats are becoming increasingly difficult to ignore.
“Most underwriting for real assets still uses historical data, but the climate is no longer behaving the way the historical record would predict,” said First Street CEO Matthew Eby.
The study found that more than half of global data-center capacity is also exposed to chronic climate stresses such as extreme heat, drought, and water shortages. Unlike hurricanes or floods, which can cause immediate damage, these chronic pressures gradually increase operating costs and reduce efficiency over time.
For data centers, which typically operate continuously and require enormous cooling capacity, rising temperatures can become a major financial burden.
Jeremy Porter, First Street’s chief economist, said investors are often underestimating the scale of the challenge because many existing risk models rely heavily on historical weather patterns that no longer accurately reflect future conditions.
As temperatures rise globally, heavier rainfall, stronger storms, and more frequent droughts are altering risk calculations for long-lived infrastructure assets. That matters because data centers are typically built with operating lives of 20 to 30 years, meaning facilities constructed today must withstand climate conditions that could look very different by the 2040s and 2050s.
The research also reveals a growing geographic mismatch between AI investment and climate resilience.
Asia-Pacific emerged as the most exposed region, with 89% of data-center capacity facing acute climate risks. The Americas recorded exposure of 50%, while Europe, the Middle East, and Africa registered 46%.
Several of the world’s fastest-growing data-center hubs also ranked among the most vulnerable. Northern Virginia, widely regarded as the world’s largest concentration of data centers, appeared alongside Malaysia’s Johor region and Marseille in France as markets facing significant climate exposure. Nordic countries, by contrast, recorded some of the lowest climate risks, reinforcing their growing appeal as destinations for energy-intensive AI infrastructure.
The findings arrive at a time when technology companies are spending unprecedented sums on artificial intelligence infrastructure.
Microsoft, Amazon, Google, Meta, Oracle, and OpenAI are collectively investing hundreds of billions of dollars in data centers, semiconductor facilities, and cloud-computing capacity. Those investments are transforming AI into one of the largest infrastructure buildouts in modern technology history.
The climate implications are becoming impossible to separate from the industry’s growth story.
Some operators are already adapting.
Digital Realty, one of the world’s largest data-center operators, has increasingly moved toward water-efficient cooling systems to reduce exposure to water shortages and drought risks.
Chief Executive Andrew Power said nearly all of the company’s global facilities now use either waterless cooling systems or closed-loop systems that minimize evaporation.
Still, experts caution that protecting individual buildings is only part of the solution.
Porter argues that climate resilience increasingly depends on broader community infrastructure, including power grids, transportation networks, water systems, and emergency-response capabilities. A data center may survive a storm, but operations can still be disrupted if the surrounding infrastructure fails.
As AI companies expand aggressively and build increasingly energy-intensive infrastructure, they are simultaneously becoming some of the largest backers of climate technologies designed to offset their environmental footprint.
Frontier’s expanded commitment indicates that Big Tech sees carbon removal not as a niche environmental initiative but as a necessity tied directly to the future of AI-driven growth.