By 2028, global AI investment could reach over US$600 billion, driven by generative and agentic AI.
As AI’s reach expands, so does its appetite for computational power – with serious implications for energy use, emissions and sustainability.
AI also offers powerful solutions to help Australia realise a more sustainable future through optimising energy grids, their management and forecasting demand, AI driven telemetry and monitoring systems and efficiency strategies.
AI for Climate Framework
The AI for Climate framework charts AI applications against the IPCC’s (Intergovernmental Panel on Climate Change) framework of Mitigation, Adaption and Restoration.
Developed by members of the CLC, this work highlights how cutting-edge AI technologies are being deployed to reduce greenhouse gas emissions, enhance climate resilience, and regenerate natural ecosystems. From optimising renewable energy and forecasting extreme weather patterns, to accelerating ecosystem restoration through machine learning, the framework showcases some of today’s most innovation and impactful AI-driven climate solutions.
We extend our thanks and gratitude to EY for their invaluable expertise and collaboration in supporting the development of the Solution Mapping Framework.
AI and Scope 3
The latest report from the CLC builds on previous Scope 3 work to offer practical guidance on how artificial intelligence (AI) can transform emissions management across complex value chains.
Scope 3 emissions are often the largest part of an organisation’s carbon footprint, but also the hardest to measure and reduce. Historically, managing them has required resource-intensive processes that strain internal capacity and limit impact. This report explores how AI can change that.
Through real-world insights from CLC members, the report identifies the most common pain points in Scope 3 reporting, from supplier data verification to regulatory compliance, and pinpoints where AI can offer the greatest value. It outlines how AI can:
- Automate data collection and mapping
- Enhance data quality and consistency
- Enable emissions forecasting and decarbonisation strategies
- Support target setting with precision and speed
It also offers a technical framework for AI adoption, a curated set of use cases, and a practical roadmap for implementation.
Whether you’re a business leader, sustainability expert or technology professional, the AI and Scope 3 report is designed to foster collaboration across teams and provide the strategic and technical insight needed to scale action.
AI alone won’t solve the Scope 3 challenge, but used responsibly, it can unlock new levels of efficiency, transparency and impact.
We extend our thanks and gratitude to EY for their invaluable expertise and collaboration in supporting the development of the report.
