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Artificial intelligence (AI) is evolving at an unprecedented pace, rapidly transforming industries across the globe. From healthcare to finance, AI’s capabilities are revolutionising how we work, live, and innovate.
Close-up of a man using a tablet in a tree nursery, with tree seedlings growing in the background. AI generated picture.
Tools like ChatGPT, autonomous drones, and advanced image recognition software have moved from research labs to everyday applications, reshaping both human productivity and decision-making. However, as this technological advancement accelerates, its environmental footprint grows exponentially.
While conservation efforts can greatly benefit from AI, AI’s intensive energy consumption and reliance on vast data centres raise critical questions about how we can mitigate its environmental impact.
Carbon compensation is a promising solution that can offset the environmental costs of AI, enabling its immense potential to thrive in an environmentally responsible way.
Calculate your carbon footprint with DGB
As AI reshapes industries, its potential to drive positive change in nature restoration is becoming more and more evident. In environmental conservation, AI is a powerful tool that enhances efficiency and effectiveness, tackling challenges that once seemed insurmountable.
Drone monitoring wildlife in African forest. AI generated picture.
For instance, AI-powered drones can map deforested areas and monitor wildlife in real time, enabling conservationists to respond quickly to illegal logging activities or poaching incidents. AI-driven predictive models can forecast environmental changes, giving organisations the ability to pre-emptively address threats to ecosystems, such as floods, droughts, or the spread of invasive species.
Read more: Why is environmental sustainability essential?
In 2024, AI continues to revolutionise the carbon compensation space, playing a critical role in improving the precision and management of carbon capture efforts. AI systems can analyse vast datasets from reforestation, soil carbon, and marine ecosystems, making it easier to monitor progress and predict outcomes.
By providing real-time insights, AI-powered tools help project managers optimise resource use, ensuring that the highest possible level of carbon sequestration is achieved. AI technology can also provide predictive models for how environmental factors—such as soil moisture or temperature—will impact a project’s carbon capture potential, allowing conservation efforts to be more targeted and efficient.
Companies like Treefera are using AI to improve the accuracy of carbon compensation, reducing uncertainty, and making it easier for buyers to verify the impact of their carbon units. This kind of technology empowers organisations like DGB Group to ensure that nature restoration projects not only meet their goals but also exceed expectations in terms of their environmental impact.
DGB has long recognised the significant benefits AI brings to nature-based projects and is leveraging cutting-edge technology for nature restoration and ecosystem expansion. We have created and built our own AI platform, which specialises in geospatial data analysis, enabling us to track, count, and monitor tree growth across vast landscapes.
This platform uses machine learning to improve its accuracy over time, refining its ability to detect man-made objects and changes in ecosystems. The continuous learning process allows us to gain deeper insights into biodiversity and its progression, ensuring our efforts in nature restoration are data-driven and impactful.
Lastly, our AI tools play a crucial role in maintaining the integrity of our projects by providing a transparent and verifiable transaction log. Through advanced geographic information systems (GIS) and cutting-edge computational languages, our platform allows us to track all activities related to conservation and reforestation projects, ensuring data consistency and accountability. Each piece of data, from tree planting to biodiversity changes, is recorded.
Drone photo of newly planted forest in Kenya. Hongera Reforestation Project, DGB.
By harnessing AI's potential in these ways, we are not only enhancing our nature-based solutions but also setting a precedent for how technology can be used responsibly for the greater good of our planet.
Read more: How to reduce your business’ travel emissions through nature
AI holds the potential to contribute to positive environmental impact, but the energy consumption of the technology itself presents a significant challenge. From the materials needed to build AI infrastructure to the energy demands of the vast data centres that power AI systems, the environmental impact is enormous.
The development of AI technology requires substantial resources. Building and maintaining data centres, which house the hardware necessary for AI operations, demands considerable amounts of raw materials. These materials, including metals and minerals, often have a significant environmental footprint due to the mining and processing involved.
One of the most pressing environmental issues associated with AI is the substantial energy consumption of data centres. These centres operate around the clock, and the energy required to power and cool their equipment is immense. How much energy does AI consume? According to researchers, its carbon footprint is already equivalent to half that of the entire aviation industry.
Read more: Overcoming sustainability challenges: practical solutions for your business
As AI models become more advanced, the computational power required grows, leading to even greater energy demands. A recent study on AI energy consumption and carbon emissions revealed that generating a single image with a powerful AI model uses as much energy as fully charging a smartphone. Training a model like ChatGPT produces around 500 tonnes of CO₂ emissions, equivalent to 1,000 cars each driving 1,000 kilometres. This high energy consumption significantly contributes to the carbon footprint, particularly in regions where the electricity grid is powered by fossil fuels.
The environmental conditions in which AI operates are also affected. Data centres are often situated in locations with adequate cooling resources, such as cooler climates or near bodies of water. However, the extensive energy usage can strain local resources and contribute to regional environmental stress. Additionally, the development and expansion of data centres can lead to habitat disruption and altered local ecosystems.
Many leading AI companies are already committed to investing in carbon units (also known as carbon credits) to mitigate their environmental impact. For instance, Microsoft recently entered into a significant carbon credit agreement, valued at hundreds of millions of dollars. This deal aims to compensate for the tech giant’s rising emissions, partly driven by its expanding AI operations.
As AI continues to evolve and make strides across industries, addressing its environmental footprint is crucial not only for major players but also for companies across other sectors. DGB provides businesses with comprehensive solutions to compensate for hard-to-abate emissions within their value chain. By adopting effective carbon compensation strategies through nature-based projects—such as reforestation, soil restoration, and biodiversity conservation—businesses can ensure that technological progress aligns with environmental stewardship.
Read more: The power of sustainability: Why investing in sustainability drives faster company growth
Forward-thinking companies understand that sustainability is essential for long-term success. By taking proactive steps to reduce your environmental impact, you’re not just contributing to a healthier planet—you’re also enhancing your business. Becoming sustainable through nature presents opportunities for increased revenue, reduced costs, and strengthened stakeholder engagement, all while minimising risks tied to environmental regulations and consumer expectations.
Close-up of a DGB team member planting a tree seedling. Hongera Reforestation Project, DGB.
At DGB, we make it easier for companies to take these important steps. By offering comprehensive carbon reduction and compensation solutions, we can help you manage your environmental ambitions and become a leader in sustainability.
Read more: Sustainability simplified: Carbon footprinting for beginners
One of the most effective ways to offset the environmental impact of your AI operations is by investing in high-quality carbon units. DGB provides verified carbon units validated by third-party standards such as the Verified Carbon Standard (VCS) by Verra and the Gold Standard. Each carbon unit represents one metric tonne of CO₂ reduced or removed, enabling you to create a measurable and positive impact on both the environment and society. Our projects remove carbon from the atmosphere while also enhancing biodiversity and supporting local communities, helping you meet your sustainability and social responsibility objectives.
Read more: Sustainability simplified II: Carbon units for beginners
Becoming sustainable is easier than you think, and DGB is here to guide you every step of the way. Start by calculating your carbon footprint using our easy-to-use carbon footprint calculator. Once you understand your emissions, you can immediately begin compensating through our certified carbon units, ensuring your operations are balanced right away. Together with compensation, we’ll also help you create a reduction strategy to minimise emissions over time. Lastly, you can showcase your positive impact to customers, stakeholders, and the broader community.
Calculate your carbon footprint with DGB
Now is the time to take responsibility for your environmental impact. Download our brochure today to learn how DGB’s ready-to-buy carbon units can help you make a difference. Together, we can create a meaningful environmental impact while supporting your business’ growth and success.
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