UN report highlights dual role of artificial intelligence in enabling climate resilience and emissions reduction, while urging better climate policy updates and inclusive digital governance. ESG BROADCAST shares key takeaways.
Regulatory Extract:
A new technical paper launched by the Technology Executive Committee (TEC) under the UNFCCC’s Technology Mechanism on 11 July 2025 explores the intersection of artificial intelligence (AI) and climate action in developing nations. The release, announced at the AI for Good Summit in Geneva, marks a strategic step in the #AI4ClimateAction initiative. Developed in collaboration with the United Nations Industrial Development Organization (UNIDO) and supported by the Korea International Cooperation Agency, the report analyses how AI can contribute to climate mitigation and adaptation, especially in Least Developed Countries (LDCs) and Small Island Developing States (SIDS).
Artificial Intelligence, the paper notes, has vast potential as a climate tool—capable of forecasting demand, optimising renewable energy deployment, and reducing emissions through smarter industrial and transport systems. But this promise is tempered by real-world limitations: digital infrastructure gaps, data accessibility, and algorithmic fairness.
The report calls for bridging this digital divide, strengthening AI governance, and ensuring inclusive climate tech solutions to meet both sustainability and equity goals.
The TEC’s paper presents detailed use cases. In mitigation, AI-powered systems can identify emission hotspots in industries and optimise power distribution, energy efficiency, and traffic flows to curb fossil fuel usage. In adaptation, AI strengthens disaster risk management by predicting extreme weather events like hurricanes and droughts, enabling more targeted and timely responses. Satellite-assisted AI applications are also proving valuable in biodiversity monitoring and sustainable land and water management.
However, the deployment of AI in developing regions is constrained by persistent barriers. The paper outlines key risks including algorithmic bias, exclusionary design, and the high energy and water consumption of large-scale AI models—raising fresh sustainability regulation concerns in areas already experiencing resource stress. Compounding this is the limited availability of high-resolution, localised climate data, which hampers AI model accuracy and effective decision-making.
To address these challenges, the paper outlines priority policy and governance measures. These include investing in foundational digital infrastructure, building national AI capacities, and improving open access to climate datasets. The TEC also recommends embedding transparency, accountability, and inclusivity in AI regulatory frameworks under the UNFCCC. Further, it calls for cross-sector collaboration to harmonise standards and accelerate equitable AI development, especially for vulnerable populations.
“AI can be an enabler of responsible business and climate resilience—provided it is governed with fairness and equity in mind,” said Dietram Oppelt, TEC Chair, during the summit address. The committee stresses that AI’s environmental benefits must not come at the cost of deepening social inequalities or new climate risks.
Strategic significance lies in integrating AI into national climate policy updates in a way that balances innovation with just transition goals. For ESG stakeholders, this translates into emerging opportunities for investment in green digital infrastructure, partnerships with public AI governance bodies, and new ESG compliance pathways linked to data transparency and climate risk disclosure. Developing economies, particularly LDCs and SIDS, stand to benefit from early alignment with these frameworks to access climate finance and technical support.
ESG BROADCAST will continue monitoring the updates related to this topic. Stay tuned to be updated on the related policy and pivotal regulatory shift.
