Why is AI a threat to the climate, but also a profitable business commodity?

Have you ever thought about how much energy one response from artificial intelligence consumes and who ultimately pays for this growing climate burden? While the world is fascinated by the capabilities of new models, a massive construction of data centers is taking place in the background, requiring unimaginable amounts of electricity and water. Technology giants plan to invest nearly $700 billion into this infrastructure, which raises a fundamental question: “How to maintain climate commitments under such extreme growth in consumption?”

Energy perspective

The rapid expansion of artificial intelligence is fundamentally changing the rules of global energy. The massive construction of AI infrastructure creates unprecedented pressure on resources, making the original environmental targets of companies like Google, Amazon, and Microsoft increasingly difficult to achieve. For these “hyperscalers,” it is no longer just about switching to renewable sources. The reality is that without actively removing carbon from the atmosphere, achieving their commitments is practically impossible. This is where a new and highly lucrative market opportunity emerges, connecting technology with ecology.

Exponential growth

Data on purchases of so-called permanent carbon credits reveal a remarkable trend. While in 2022 only about 14,200 of these credits were traded, in 2024 it was already 24.4 million. At a significantly faster pace, specifically by 181 percent, the value in 2025 rose to an astonishing 68.4 million credits. Each such credit essentially represents one ton of CO₂ that has been verifiably removed from the atmosphere. This sharp increase in demand clearly reflects that carbon offsets are becoming a strategic commodity whose value will likely continue to grow with the development of AI.

First place

In this new segment, Microsoft has emerged as the dominant player. The company, which aims to become “carbon negative” by 2030, is increasing its investments in atmospheric cleaning at a record pace. Between 2023 and 2024 alone, their purchases of credits increased by an incredible 337 percent. However, Microsoft is not only buying – it is actively investing in companies such as Sublime Systems or Stegra, which develop low-carbon infrastructure. From an investment perspective, this situation can be seen as one of the world’s largest technology players betting its future on the idea that cleaning the planet will become an integral part of the digital business.

The end of the era of cheap promises

The period when carbon credits were criticized as a tool for “greenwashing” or cheap masking of emissions is gradually coming to an end. We are moving towards technologies such as Direct Air Capture (direct capture from the air) or advanced biological methods of storing carbon in soil and forests. These solutions are more expensive but offer a permanent result required by international climate reports, IPCC. Although market transparency is still not 100 percent, pressure on quality and the real contribution of projects is constantly increasing, making this sector an increasingly professional investment environment.

Are you tracking the right numbers?

Artificial intelligence is not only a revolution in how we work, but also the largest driver in the history of the carbon removal market. We are witnessing the emergence of a new industry that will need to grow as fast as the performance of the chips themselves. The world is changing, and with it the nature of safe and promising investments. As an investor, will you continue to focus only on the growth of technology company stocks, or will you start looking for opportunities in the infrastructure without which this growth would not be possible?

This text constitutes marketing communication. It is not any form of investment advice or investment research or an offer for any transactions in financial instrument. Its content does not take into consideration individual circumstances of the readers, their experience or financial situation. The past performance is not a guarantee or prediction of future results.

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