India's emergence as a key player in AI brings forth the challenge of balancing energy demands with sustainable solutions. Ann Dunkin, a former CIO at the US energy department, highlighted the importance of leveraging renewable resources like wind, geothermal, solar, clean hydrogen, and nuclear power for a robust energy strategy to support the AI infrastructure. Despite the predominance of coal in India's electricity generation, businesses are increasingly turning to solar and wind power for data centre operations. Companies like Hiranandani Group's Yotta and CtrlS are aiming for high percentages of renewable energy consumption, aligning with a global shift towards sustainability. In Jamnagar, Reliance Group's ambitious data centre project aims to rely heavily on renewable energy sources, including a green energy complex with solar, wind, and hydrogen projects. The industry's growth prompts a focus on optimizing energy and water usage while reducing AI's energy footprint through hardware and software innovations. Besides energy concerns, India emphasizes AI governance, stressing data security, unbiased datasets, and tech alignment with diverse backgrounds. Prime Minister Modi highlighted the need for quality, bias-free datasets and secure AI models. Dunkin underlined the importance of personal AI models for user data privacy, aligning with India's focus on digital sovereignty. As India navigates the AI landscape, it aims to build frameworks that reflect its diverse culture and linguistic landscape, ensuring inclusivity and effectiveness.