How Is AI From Google And Microsoft Tackling Climate Change?

Technology firms are increasingly directing artificial intelligence towards environmental problems, even as the energy consumption of machine learning systems faces examination from researchers and regulators.

For the telecommunications sector, it presents a major opportunity as companies like Microsoft and Google deploy AI models that rely on robust connectivity to address emissions reduction, weather forecasting and waste management.

These initiatives, which handle real-world environmental data, highlight the critical role of network infrastructure in enabling climate solutions.

A tangible example is Google's CircularNet, an open-source AI model designed to identify materials in waste streams to enhance sorting accuracy in recycling facilities.

Such a system depends on a network of sensors and cameras transmitting large volumes of data for real-time analysis, a process reliant on high-speed, low-latency connectivity that modern telecommunications networks provide.

Kate Brandt, Chief Sustainability Officer at Google, says on LinkedIn that doubling the global recycling rate “could save more than 10 gigatons of carbon over the next 30 years”.

A start-up utilising the model has reported detection accuracy above 90%. Kate explains this “has improved the purity of their recyclables by approximately 60%, leading to a 6x increase in material value and diverting more than 50,000 metric tonnes of waste from landfills every month”.

Connectivity for climate monitoring

The successful deployment of AI-powered environmental systems is intrinsically linked to the capability of the underlying telecommunications infrastructure.

For AI models to function effectively, they require constant streams of data from connected devices, often in remote or challenging locations.

This is where advanced networks, including 5G and the Internet of Things (IoT), become essential, providing the bandwidth and reliability needed to power systems that monitor and manage our environment. Telecommunication companies are, therefore, foundational to scaling these climate technologies.

Google has also applied its NeuralGCM weather prediction system to assist Indian farmers in forecasting monsoon patterns essential for crop planning.

Meanwhile, Microsoft is financing AI-powered environmental monitoring through its Climate Innovation Fund. Melanie Nakagawa, CSO at Microsoft, says the fund supports Vibrant Planet, a company that analyses vast datasets to predict and manage wildfire threats.

These applications depend on aggregating data from satellites, on-the-ground sensors and climate models.

Telco networks are the conduit for this information flow and are vital for disseminating early warnings to communities in affected areas.

Melanie says: “Vibrant Planet’s models integrate observational data, global and regional climate models and ecosystem models to provide more accurate predictions and effective interventions for wildfires”.

AI-powered environmental prediction

The ability of AI to analyse complex datasets is creating new possibilities for predictive environmental management.

From forecasting extreme weather events to modelling the spread of wildfires, these technologies could offer critical foresight.

The effectiveness of these predictive models hinges on the rapid transmission of data from countless sources.

Telecommunication providers supply the essential infrastructure for this data collection and for the subsequent distribution of alerts and interventions, making them central to the operational success of these climate solutions.

However, the growing use of AI raises questions about energy consumption and security. A United Nations Framework Convention on Climate Change report notes AI can be a tool for reducing greenhouse gas emissions by optimising energy grids and transport networks.

Yet training and operating these large models demands significant computational power. This presents a challenge that the telecommunications industry is already addressing through the development of energy-efficient data centres and network hardware.

Furthermore, as AI controls more environmental infrastructure, security becomes paramount. The telecommunications sector’s expertise in cybersecurity is crucial for protecting these systems from potential threats.

Through partnerships with companies creating AI solutions, Melanie says Microsoft is working to “accelerate the transition to net zero”, a goal that aligns with the broader push for sustainable and secure technological development.