Can you imagine a world where technology not only solves problems but also cares for our planet? Last month we had the privilege of taking part in #GoFest 2024 in Bogotá, a leading event for Colombia’s entrepreneurial ecosystem, where we were one of the three companies with the best Pitch.
This festival is a meeting point for innovation and business growth, where one trend became clear: artificial intelligence is transforming the way we address sustainability challenges. From startups to large corporations, everyone is looking for ways to harness the power of AI to create a more sustainable future, and it is an enabler for finding effective solutions to #ClimateChange in three key areas:
📝Providing people and organizations with better information to make more sustainable decisions,
🌦️Offering better predictions to help adapt to climate change, and
🌍Finding recommendations to optimize the management of high-impact climate action.
AI is establishing itself as an innovative tool in climate change mitigation. According to studies conducted by PricewaterhouseCoopers (PwC) and Boston Consulting Group (BCG), implementing AI as a tool in environmental management could significantly reduce global greenhouse gas (GHG) emissions. PwC estimates that these technologies could achieve a 4% reduction by 2030, equivalent to 2.4 gigatonnes of carbon dioxide. For its part, Boston Consulting Group suggests that companies can reduce their carbon footprint by between 5% and 10% by adopting artificial intelligence-based solutions (Dannouni B, et al., 2023).
Take control of your carbon footprint: Measure and manage all three scopes with CarbonBox
In addition, AI can optimize energy efficiency, improve weather forecasting and manage power grids more intelligently. Its application in sectors such as transport, agriculture and urban management makes it possible to reduce carbon emissions, optimize resources and create more resilient cities, transforming key sectors and helping to mitigate climate change (Chen, L. et al., 2023). Some of its applications are shown below.
Adapted from: Chen, L., Chen, Z., Zhang, Y. et al, 2023.
Process optimization and energy efficiency
One of the areas where artificial intelligence is demonstrating its potential is in optimizing energy consumption. Technology companies such as Google have used artificial intelligence to reduce energy use in their data centers by up to 40%. This has been achieved through algorithms that automatically adjust cooling systems based on environmental conditions and workloads (Evans and Gao, 2016). This kind of advancement not only means significant cost savings, but also contributes to reducing GHG emissions. In addition, advanced artificial intelligence technologies, such as AlphaZero and MuZero, are helping to design more efficient computer chips and to discover new algorithms that optimize digital systems, thereby reducing the associated environmental impact (Mankowitz et al., 2023).
Precision agriculture
AI also plays an important role in precision agriculture, an approach that is transforming the way natural resources are used in the agricultural sector. Currently, approximately 30% of GHG emissions caused by human activities come from global agri-food systems. Thanks to tools such as drones, sensors and intelligent algorithms, AI enables farmers to optimize the use of water, fertilizers and pesticides. This approach not only reduces the carbon footprint but also improves the resilience of crops in the face of changing climate conditions, creating more efficient and sustainable agriculture (Marwala, 2024).
Smart waste management and recycling
In the urban environment, AI is changing waste management and recycling. More and more cities are using machine learning algorithms to plan more efficient garbage collection routes and improve waste sorting. One example is the city of San Francisco, which has used artificial intelligence to optimize its waste collection routes, thereby reducing transport-related carbon dioxide emissions and improving recycling efficiency (San Francisco Department of the Environment, 2023). This kind of initiative highlights how artificial intelligence can be integrated into the daily life of cities to make them cleaner and more sustainable.
Challenges
Although the benefits of AI for sustainability are broad and tangible, its implementation also poses some challenges. These include the need for high-quality data, the ethical handling of information and the initial investment in developing these technologies. However, with a long-term vision and strategic planning, these challenges can be effectively addressed, ensuring a significant return on investment in terms of both cost savings and environmental benefits.
AI is charting a clear path toward sustainable solutions that can transform entire industries and generate a positive impact on the planet. At #CarbonBox, we are committed to innovation and to developing solutions that help companies reduce their carbon footprint in an effective and accessible way. If you are looking to implement advanced strategies to measure and reduce the environmental impact of your company, product or event, do not hesitate to contact ushere.
Bibliography
-
PwC UK. (2019). How AI can enable a Sustainable Future. Available at: https://www.pwc.co.uk/sustainability-climate-change/assets/pdf/how-ai-can-enable-a-sustainable-future.pdf
-
Boston Consulting Group. (2023). The Impact of AI on Climate Change. Available at: https://web-assets.bcg.com/72/cf/b609ac3d4ac6829bae6fa88b8329/bcg-accelerating-climate-action-with-ai-nov-2023-rev.pdf
-
The World Economic Forum. (2024). 9 ways AI is helping tackle climate change. Available at:https://www.weforum.org/agenda/2024/02/ai-combat-climate-
-
Chen, L., Chen, Z., Zhang, Y. et al. Artificial intelligence-based solutions for climate change: a review. Environ Chem Lett 21, 2525–2557 (2023).https://doi.org/10.1007/s10311-023-01617-ychange/#:~:text=The%20use%20of%20artificial%20intelligence,the%20World%20Economic%20Forum%20says.
-
Mankowitz, DJ, Michi, A., Zhernov, A. et al. Faster sorting algorithms discovered using deep reinforcement learning. Nature618, 257–263 (2023). https://doi.org/10.1038/s41586-023-06004-9
-
Marwala Tshilidzi. “Artificial Intelligence Can Transform Global Food Security and Climate Action,” United Nations University, UNU Centre, 2024-07-01, https://unu.edu/article/artificial-intelligence-can-transform-global-food-security-and-climate-action
-
San Francisco Department of the Environment (2023). Smart Waste Management using AI. Available at: sfenvironment.org
-
Dannouni B, Deutscher S, Dezzaz G, Elman A, Gawel A, et al, 2023. Accelerating Climate Action with AI. Boston Consulting Group (BCG). Available at: https://www.gstatic.com/gumdrop/sustainability/accelerating-climate-action-ai.pdf