AI Can Help Optimise Clean Energy Save Lives and Livelihoods: Ceew CEO

Why It Matters

The interview shows AI’s dual potential to accelerate climate mitigation while demanding sustainable compute, shaping policy, investment, and technology roadmaps worldwide.

Key Takeaways

• AI optimizes solar and wind integration into grids
• Predictive AI improves storm surge and flood warnings
• AI-driven agriculture boosts climate resilience and water efficiency
• Sustainable AI design reduces data‑center energy and water use
• India leads Global South in AI climate initiatives

Pulse Analysis

Artificial intelligence is rapidly moving from a theoretical tool to a practical engine for clean‑energy optimization. Machine‑learning models can ingest real‑time meteorological data, satellite imagery and grid demand signals to predict where solar irradiance or wind gusts will be strongest, allowing operators to dispatch renewable power more efficiently. By aligning generation with demand, AI reduces reliance on fossil‑fuel peaker plants, cuts emissions, and improves grid stability—benefits that resonate with utilities seeking to meet increasingly stringent renewable‑portfolio standards.

Beyond energy, AI’s predictive capabilities are reshaping disaster risk management and agricultural practices. Advanced neural networks can forecast storm surges and flash‑flood events days in advance, giving emergency responders critical lead time to protect lives and livelihoods. In the field, AI‑enabled decision support tools recommend crop varieties, irrigation schedules and soil‑health interventions that conserve water and boost yields under shifting climate patterns. These applications are especially vital for smallholder farmers in the Global South, where climate shocks can devastate food security.

The strategic importance of these advances is reflected in India’s role as the first Global South host of the Global AI Impact Summit. By convening policymakers, tech firms and climate experts, the summit aims to codify standards for low‑carbon AI infrastructure—optimizing compute workloads, improving data‑center cooling efficiency, and incentivizing renewable‑powered AI services. Such policy frameworks can steer private investment toward greener AI ecosystems, ensuring that the technology’s climate benefits are not offset by its own energy demands. Ultimately, the trajectory of AI in climate action will be defined by deliberate choices that balance innovation with sustainability.

AI can help optimise clean energy save lives and livelihoods: Ceew CEO

Source: ANI · Published on Feb 17, 2026 at 01:42 PM IST

Artificial Intelligence is a powerful tool helping to combat climate change.

In recent years AI has emerged as a powerful tool that helps in the fight against climate change. It enables computers to learn from data and make decisions or predictions. When applied to climate studies, AI systems analyse climate‑related data and provide solutions for improved climate modeling, optimized renewable energy generation, solutions for sustainable agriculture, and enhanced disaster resilience.

Anurabha Ghosh, CEO of Ceew, spoke about how an intersection of Artificial Intelligence and climate action can help meet present‑day environmental challenges head‑on, with the right intention paving the way for tech and environmental sustainability to go hand‑in‑hand.

In an exclusive conversation with ANI, Ghosh said:

“AI can help to optimise for clean energy—use the solar radiation or where the wind is blowing; use that more optimally so you're injecting more clean energy in the grid. It can help to predict storm surges and flooding events better so we can save lives and livelihoods. It can help to optimise for the kinds of agricultural practices that would make our farming more climate‑resilient and water‑efficient. But in order to do that, we have to be intentional about the resource footprint as well.”

She noted that, like environment, sustainability, and climate action, AI is also a general‑purpose technology. “We've got to make sure that these two intersect so that we are designing models in a way that is fit for purpose. We're not just competing for compute power, but for optimising for the energy requirement, water requirement for cooling the data centres.”

Ghosh called for an optimised approach to AI that accelerates climate action and drives a more sustainable AI story.

She added that the future of AI depends on the choices we make:

“Future of AI—It’s our choice. That’s the future.”

India is the first country from the Global South to host the Global AI Impact Summit, which brings together global leaders, policymakers, technology companies, innovators, and experts to showcase and deliberate on the transformative potential of AI across governance, innovation, and sustainable development.

India is advancing as a global leader in AI‑driven climate solutions. The country has made institutional innovations and strong multilateral partnerships. India now provides village‑level weather forecasts. India is proving that AI can be a powerful tool in fighting climate change. This is especially important for vulnerable communities in the Global South.