Global Experts Call for Unified AI Policies to Accelerate Decarbonisation and Climate Action – EQ
In Short : Experts have urged stronger global policy synchronisation to harness artificial intelligence for decarbonisation and climate action. They emphasised that coordinated regulations, data sharing, and ethical frameworks are essential to scale AI-driven solutions in energy, industry, and infrastructure, ensuring that technological innovation supports climate goals while avoiding fragmented and unequal progress.
In Detail : Experts from across technology, energy, and climate policy communities have highlighted the need for global coordination in using artificial intelligence to support decarbonisation efforts. They argue that without aligned international policies, the full potential of AI in tackling climate change will remain underutilised.
Artificial intelligence is increasingly being deployed to optimise energy systems, improve industrial efficiency, and support climate modelling. From smart grids and renewable forecasting to emissions monitoring and resource management, AI is becoming a powerful tool in accelerating the transition to low-carbon economies.
However, experts caution that the benefits of AI are currently unevenly distributed due to fragmented regulatory frameworks and varying levels of digital maturity across countries. This lack of policy alignment creates barriers to cross-border collaboration, technology transfer, and large-scale deployment.
One major concern is the absence of shared standards for data governance and interoperability. Climate-focused AI applications rely heavily on large datasets, and inconsistent data policies can limit the effectiveness of global climate models and digital energy platforms.
Another challenge is balancing innovation with ethical and environmental responsibility. While AI can support decarbonisation, it also drives increased energy consumption through data centres and computing infrastructure. Experts stress the need for policies that promote energy-efficient AI and low-carbon digital systems.
Global policy synchronisation is also seen as critical for enabling investment and financing. Clear and consistent regulatory signals can encourage private sector participation in AI-driven climate technologies, reducing risks and supporting long-term capital flows.
Experts further emphasise the importance of collaboration between developed and developing countries. Shared frameworks can help ensure that emerging economies gain access to AI tools for climate resilience, adaptation, and sustainable development.
In addition, international cooperation can accelerate research and innovation by pooling expertise across disciplines. Joint platforms for AI and climate research can lead to more robust solutions in areas such as carbon tracking, climate risk assessment, and energy optimisation.
Overall, experts conclude that artificial intelligence can become a major enabler of global decarbonisation, but only if supported by harmonised policies and collective action. A coordinated global approach is essential to ensure that AI contributes meaningfully to climate goals and delivers equitable and sustainable outcomes.
