Affordable AI Development is Key: Insights from Energy Bureau Official
Synopsis
Key Takeaways
New Delhi, April 16 (NationPress) India's journey in artificial intelligence (AI) must prioritize affordability and accessibility, emphasized Ravi Shankar Prajapati, the Joint Director at the Bureau of Energy Efficiency, during a keynote address on Thursday.
He spoke at a policy roundtable entitled “Roadmap for AI and Sustainability in India,” hosted by the Chintan Research Foundation in collaboration with The Dialogue.
Prajapati indicated that India's aspirations in AI are at a pivotal juncture, uniquely benefiting from its extensive data generation capabilities.
However, he pointed out that AI's future in India will depend not only on algorithms and applications but also on the infrastructure that enables large-scale computations, including its design, location, and sustainability.
The roundtable convened policymakers, experts, and industry representatives to discuss how AI development can align with sustainability objectives. Dr. Debajit Palit, the Centre Head at the Centre for Climate Change and Energy Transition at CRF, opened the discussion by reiterating the importance of balancing energy demands with AI.
"India needs to develop a 'virtuous cycle' where AI enhances energy efficiency, and in return, energy systems sustainably facilitate the growth of AI," he commented.
Shreeppriya Gopalakrishnan, DGM Policy at IndiaAI under the Ministry of Electronics and IT, added that AI infrastructure should be regarded as an integrated ecosystem.
She highlighted that this ecosystem encompasses hardware, software, data, energy, and institutional frameworks, making it crucial to adopt a comprehensive strategy that aligns AI ambitions with real-world resource limitations.
Participants concurred that data centers and AI-capable computing resources should be recognized as strategic infrastructure rather than mere digital assets.
They underscored that such infrastructure has significant implications for energy systems, regional development, digital sovereignty, and sustained economic growth.
Simultaneously, experts identified various structural challenges that could influence India's AI trajectory, including the concentration of data centers in a limited number of metropolitan areas, restricted grid capacity, water scarcity, climate risks, and increasing energy demands. Addressing these challenges is essential for the sustainable scaling of AI throughout the nation.