Thu Sep 25 00:00:00 UTC 2025: Here’s a summary of the article and a rewritten version as a news article:
**Summary:**
The article discusses the growing dilemma in India and worldwide regarding the energy demands of AI and data centers. While AI offers potential solutions for optimizing energy delivery, increasing efficiency, and promoting renewable energy adoption, the massive data centers required to power AI systems are projected to place a significant strain on global and Indian power grids. The article highlights projections from various reports estimating a substantial increase in data center energy consumption by 2030. It also addresses the concerns about water usage for cooling data centers and the potential increase in carbon emissions. The article further explores how AI is being utilized in India to enhance energy efficiency, promote sustainable real estate practices, manage grids, and detect power theft. It concludes by emphasizing the need for a transition to more sustainable power sources for data centers and the role of government nudging in this process.
**News Article:**
**AI Boom in India Sparks Energy Consumption Concerns Amidst Promise of Sustainable Solutions**
**NEW DELHI, September 25, 2025** – As India embraces artificial intelligence (AI) across various sectors, a crucial question arises: Will AI be a catalyst for a greener future or will it burden the nation’s power grid with its insatiable energy appetite?
A new report highlights the paradox of AI. While AI offers the potential to revolutionize energy management and optimize renewable energy sources, the data centers that fuel AI are projected to dramatically increase energy consumption. International Energy Agency (IEA) reports project that data center demand will double worldwide to 945TWh by 2030 and that AI would be the principal driver. McKinsey estimates annual global demand for data centre capacity could rise at 19-22% from 2023 to 2030, reaching 171-219 GW, against the total current demand of 60 GW.
India is projected to see a significant surge in data center demand, rising from 1.2 GW in 2024 to 4.5 GW by 2030, largely driven by AI and digital adoption. These AI-driven data centers could consume an additional 40-50 TWh of electricity annually.
“The increasing adoption of AI and digital technologies in India is contributing to a significant rise in energy demand,” said Vimal Nadar of Colliers.
Experts are also concerned about the increasing demand for freshwater needed to cool data center servers.
However, the article also highlights how AI is being deployed to improve energy efficiency. AI is being used to manage grids, optimize solar-wind-battery plants, and detect power theft. The real estate sector is also leveraging AI for smart lighting, predictive HVAC optimization, and building controls, leading to potential energy savings.
“AI is playing a pivotal role in transforming how energy is delivered, utilised, and managed, both globally and within India,” Mr. Nadar said.
Initiatives like the Energy Conservation Building Code and the National Smart Grid Mission are integrating AI to promote sustainable building design and enhance grid reliability.
Despite these advancements, concerns remain about meeting the growing energy demand solely through renewable sources. Some experts argue that carbon emissions could increase despite efforts to adopt sustainable practices.
Anwesha Sen of Takshashila University said, “As the race to build the most capable AI systems has got companies investing in massive data centres, a transition of the energy grid itself to use more sustainable power sources is required and might need some nudging by governments.”
The future of AI in India hinges on striking a balance between harnessing its potential for sustainable development and mitigating its impact on the country’s energy resources.
First Piper 