AI enthusiasts across all sectors are finding innovative ways to use artificial intelligence’s predictive analytics, modelling and modelling capabilities to mitigate global warming. What are some examples of industries where an effective installation has yielded results?
Smart Grid Management in Energy Sector
“Urban planners are working with electricians and engineers to increase the grid’s resilience and capacity to support modern generators and demands.”
AI is crucial for this, as the workforce only knows the grid’s requirements with big data.
Combining AI models with sensors, they can discover patterns of demand and predict future resource optimization. Models do this by simulating renewable energy and considering their potential expansion.
Innovation in the AI field is crucial for achieving balance. By 2030, AI and data centers will account for 8% of the electricity consumed in the U.S. Microsoft and Google are experimenting with new ways to reduce energy consumption or match it with zero-carbon energy. To make the marriage between AI and the grid work on the long-term, contributors will need to reduce AI energy needs while maximizing the grid’s capabilities.
Precision farming and food safety in agriculture
Climate change is affecting agriculture the most, especially at a time when food is in short supply. Farmers can create models that show how the upcoming seasons will look for their staff by comparing the growth cycles of crops to market demands. AI could help farmers digitize and automate crops, and monitor them to increase yields and provide the most food for communities.
“AI drones can drop seeds to plant climate resilient crops or reforest a region to defend against rising water.”
The Environmental Protection Agency can improve its water contamination detection capabilities by 600% using machine learning algorithms. This will help agriculture remain healthy. AI air monitors could be used in hydroponic environments to determine the impact of indoor air quality on output. Here are some other ways that a predictive AI can help farmers through connected smart devices.

Weather and natural disasters forecasting
Soil monitoring
Livestock health surveillance
Identification of diseases and invasive species
Water distribution and consumption
Pest control dispersal

Fleet Optimization in Transportation
Logistics managers, supply chain and transportation organizations will electrify in order to reduce one of the most prominent categories of carbon emissions. An AI could connect with a carbon ledger, tracking emissions while fleets optimize.
Route optimization is another fleet optimization hack that drivers can use in real-time. AI in vehicles could help drivers save energy by rerouting to a route that requires fewer miles and wear on the vehicle. While a single reroute might not seem like a huge reduction in emissions in the short-term, it can save on vehicle maintenance and battery power wasted from sitting in stop-and go traffic.
When it comes to maintenance, predictive analytics is the best option. AI models get to know individual vehicles, allowing for better maintenance scheduling.
AI’s Role in Climate Change Mitigation
AI is a versatile technology. It has the processing power and decision-making ability to provide climate insights for humanity. It can collect data and use it to teach workers how to act, or connect with other devices to automate processes. AI could help all sectors to understand their impact more precisely, and take action that reduces emissions and wastes fewer resources.
Also read Leveraging Artificial Intelligence to Reduce Plastic Waste
Robotics