COP29: How Data and AI Will Drive Climate Action

The discussions and agreements reached from COP29 provide a roadmap for addressing climate change. Here’s a roundup of significant takeaways from the summit – and where data and AI comes in to support the transition. 

Commitment to a $300bn climate finance deal 

A major outcome of COP29 was the pledge to mobilise $300 billion annually by 2035 to assist developing nations in tackling climate challenges. This fund is designed to support transitions to sustainable energy systems and improve resilience against the growing negative impacts of climate change. Although this has tripled finance to developing countries, the deal has received mixed responses, with UN Secretary-General António Guterres stating, “I had hoped for a more ambitious outcome – on both finance and mitigation – to meet the great challenge we face. But this agreement provides a base on which to build.”  

To fully maximise the potential of the climate fund, efficient allocation of this capital will depend on tools that can identify high-impact projects and monitor their progress. Data analytics and AI can make this process more intuitive and impactful – for example, by analysing climate risks and simulating energy transition scenarios, these tools can help pinpoint where investments will yield the greatest benefits. AI models can forecast long-term impacts of funding decisions, ensuring that money flows to projects with proven potential. Meanwhile, cloud platforms provide the backbone to manage and share this data securely across stakeholders on a global scale. 

Balancing AI’s impact with its energy footprint 

AI was both celebrated and scrutinised at COP29. Sessions highlighted how predictive AI models and geospatial data systems can optimise energy systems, predict climate patterns and develop early warning systems for natural disasters – all major advancements with an undoubtedly positive effect. However, AI’s energy consumption – especially in large-scale data centres – was called into question. 

This presents a challenging scenario. AI’s ability to forecast and adapt energy use in real-time will reduce waste and optimise renewable energy utilisation, accelerating the route to net zero. Yet the mass energy consumption in running large-scale AI programs is counterproductive, and as AI models continually improve, this demand will continue to surge.  

The more immediate steps in solving this problem are making data centres more energy efficient, powered by renewables. On a broader scale, as organisations we must consider where and when it’s appropriate to use AI for maximum impact. Switching on LLMs and AI models without clear direction and assessment can be costly to organisations and the planet. This is why it’s crucial to work with a technology partner that understands your unique challenges and how to utilise AI models efficiently and effectively.

Launch of the AI for Climate Action Innovation Factory 

The AI for Climate Action Innovation Factory, launched earlier this year at the AI for Good Summit in Geneva, was an impressive showcase of what AI can do in solving core environmental issues. This initiative is a collaborative effort among UN bodies that acts as an acceleration platform for start-ups providing AI-powered solutions to combat climate change. The shortlisted organisations presented their solutions at COP29, and although the details on the exact use cases are limited, the general themes include: 

• Emission reduction 
• Renewable energy integration and efficiency 
• Adaptation and monitoring climate change impact through nuclear science 
• Advancing sustainable agriculture. 

This initiative is a powerful example of how cross-sector partnerships can leverage AI and data science to address environmental challenges at scale, demonstrating how existing innovations can align with global climate goals. The AI use cases showcased at COP29 highlight AI’s potential and offer a compelling case to influence broader climate strategies and encourage wider AI adoption on the route to net zero. 

What’s next? 

COP29 reaffirmed the urgency of climate action while recognising the pivotal role of technology in achieving these goals. Data and AI are positioned as key enablers and the outcomes from this year’s conference highlight a growing reliance on digital tools, offering a path forward for integrating sustainability into technology and energy practices. It will be interesting to see how this year’s announcements develop. 

Hypercube is an energy technology partner with deep expertise in the energy sector. We combine industry knowledge with advanced data, AI and cloud capabilities to address the complex challenges of the energy market. Contact our team to realise the value of your data project in supporting the clean energy transition.