AI in 2025: Climate & Environmental Science

Published: May 2025 | Author: Nkosinathi Ngcobo

Image: Satellite-based environmental AI model (Source: Unsplash)

1. AI for Climate Modeling

Machine learning models trained on decades of weather data are now more accurately predicting long-term climate changes. DeepMind’s GraphCast and similar tools generate 10-day weather forecasts in seconds and simulate global warming effects on sea levels and ecosystems.

2. Forest Monitoring & Deforestation Alerts

Platforms like Global Forest Watch and Earth Blox use AI-powered satellite analysis to detect illegal logging in near-real time. These tools help countries like Brazil and Indonesia enforce conservation laws more effectively.

3. AI in Renewable Energy Optimization

GridAI, Siemens, and IBM use AI to balance solar and wind energy production with national power grids. These systems analyze weather, energy demand, and load in real-time to optimize efficiency and cut carbon emissions across Europe and Asia.

4. Ocean & Biodiversity Intelligence

AI drones now track ocean acidification, coral bleaching, and marine biodiversity health. Organizations like OceanScan and NOAA use these systems to prevent ecological collapse in critical zones like the Great Barrier Reef.

5. Pollution Detection & Waste Reduction

Computer vision systems analyze street camera feeds and satellite imagery to detect urban air and water pollution. AI is also used by recycling companies to sort waste faster and reduce contamination, improving global circular economy goals.

6. Global Climate Policy & AI Ethics

Governments are integrating AI into climate policy tools to simulate emissions targets and evaluate net-zero scenarios. However, concerns about data transparency, model bias, and environmental justice are driving calls for AI climate governance frameworks.

Next in the Series: Part 9 – The Future of Education with AI

Explore the full AI 2025 series on Nathi RSA Blog.