Artificial intelligence is rapidly becoming the backbone of the digital economy. From chatbots to online payments, cloud computing and AI services run on a vast network of data centres spread across the world.
Every time someone asks an AI chatbot a question, a powerful data centre somewhere in the world processes that request within seconds.
India is now positioning itself as a major hub for this infrastructure as the country pushes to build more AI-ready data centres and attract billions of dollars in technology investment.
The expansion promises major benefits for India’s digital economy. Data centres support cloud computing, AI development, fintech services, streaming platforms and government digital services. But the rapid growth of AI infrastructure has also triggered an important global debate about its environmental footprint.
Across several regions in the United States, communities have begun protesting large data-centre projects, raising concerns about electricity consumption, water use and pressure on local infrastructure.
As India accelerates its own data-centre expansion, the global discussion highlights both the opportunities and the environmental questions surrounding the AI boom.
India’s AI infrastructure push
The summit, held in New Delhi in February 2026, brought together representatives from more than 100 countries, global technology executives, and policymakers to discuss the future of artificial intelligence. One of the biggest outcomes was the scale of investment commitments in AI infrastructure.
According to India’s Ministry of Electronics and Information Technology, infrastructure investment pledges linked to AI crossed $250 billion during the summit. These investments include data centres, semiconductor facilities, cloud infrastructure, and computing capacity required to train and run advanced AI models.
Several major announcements reflected this momentum. The Adani Group said it plans to invest $100 billion in renewable-energy powered AI data centres by 2035. Other collaborations included partnerships between technology firms and Indian companies to build large AI computing hubs and expand cloud infrastructure.
In Gujarat, for instance, a ₹25,000-crore hyperscale data centre project was announced in Dholera to support AI workloads and cloud services.
These developments highlight India’s strategy to become a major player in the global AI economy. Advanced AI systems require enormous computing power, and data centres form the backbone of that ecosystem.
How Data Centres Power AI
Data centres are essentially large industrial facilities filled with thousands of powerful servers that store and process data. AI systems such as the chatbot ChatGPT, developed by OpenAI, rely heavily on such infrastructure.
When users interact with AI systems, their requests are processed by high-performance servers inside these centres. Training large AI models requires even more computing power because massive datasets must be processed repeatedly to improve the system’s accuracy.
This intense computing activity requires a continuous supply of electricity and cooling systems to prevent the hardware from overheating. As AI adoption increases, the demand for large and energy-intensive data centres is rising around the world.
Rising Energy Demand
One of the biggest environmental concerns linked to AI infrastructure is electricity consumption. Data centres require power around the clock to run servers, storage systems and cooling equipment.
According to estimates cited by energy researchers, a typical large AI data centre can consume as much electricity as around 100,000 households.
Globally, data centres already account for a growing share of electricity use. Recent estimates suggest they consumed around 176 terawatt-hours of electricity in 2023, and demand is expected to increase sharply as AI workloads expand.
Researchers warn that generative AI tools can require far more energy than traditional computing tasks. Some studies suggest that certain AI systems may use up to 33 times more energy to complete tasks compared with conventional software processes.
As more companies adopt AI tools and cloud computing services, electricity demand from data centres is expected to continue rising.
Water Use and Cooling
Another key environmental issue is water consumption. Data centres generate significant heat because thousands of servers operate simultaneously. Cooling systems are therefore essential to keep the equipment running safely.
Many facilities use water-based cooling systems that absorb heat from the servers. Research shows that large data centres can use enormous quantities of water for this purpose.
Some large facilities may consume up to five million gallons of water per day, roughly comparable to the daily water use of a small town.
Water is also used indirectly through electricity generation and semiconductor manufacturing. The chips that power data-centre servers require highly purified water during the production process, adding another layer to the industry’s overall water footprint.
Researchers estimate that producing ultrapure water for semiconductor manufacturing can require roughly 1,500 gallons of regular water to generate 1,000 gallons of purified water.
These factors together make AI infrastructure both energy- and water-intensive.
Protests in the United States
The rapid expansion of AI data centres has already sparked protests in several parts of the United States. Community groups and environmental organisations have raised concerns about how these projects could affect local resources.
In some regions, residents fear that large data-centre clusters could strain electricity grids, increase energy prices and consume significant amounts of water.
Virginia, one of the world’s largest data-centre hubs, has become a focal point of these debates. Dozens of activist groups have formed coalitions to slow or regulate new projects, arguing that the environmental and infrastructure costs must be carefully assessed.
Environmental organisations have also urged the US government to introduce stronger oversight of the industry. More than 200 groups have called for a pause on new data-centre construction until clearer environmental regulations are established.
These protests highlight the growing public debate about balancing technological growth with environmental sustainability.
The AI Footprint
AI itself has a complex environmental footprint that goes beyond individual data centres. Training large AI models requires enormous computing resources, which can translate into higher energy consumption and carbon emissions.
Studies have estimated that the global carbon footprint of AI systems could reach tens of millions of tonnes of emissions as the technology scales.
Even everyday interactions with AI tools have a cumulative impact. While a single ChatGPT query uses relatively small amounts of electricity, billions of such requests across the world add up to substantial energy consumption.
Researchers also point out that the environmental effects of AI extend across the entire technology supply chain, including chip manufacturing, server production and power generation.
Climate Goals & Infra Growth
India has committed to ambitious climate goals, including achieving net-zero carbon emissions by 2070 and expanding renewable energy capacity significantly over the coming decades.
At the same time, the country is building the digital infrastructure needed to support artificial intelligence and the broader digital economy. Data centres, cloud computing hubs and semiconductor facilities are all part of this expansion.
Experts say the key challenge will be ensuring that the growth of AI infrastructure aligns with sustainability goals. That could involve powering data centres with renewable energy, improving energy efficiency and developing advanced cooling technologies that reduce water consumption.
Some technology companies have already begun experimenting with alternative cooling systems and closed-loop water systems that recycle water instead of evaporating it. Such innovations could help reduce the environmental impact of future data centres.
Balancing Growth and Sustainability
The global expansion of AI infrastructure is creating both opportunities and challenges. For countries like India, new data-centre investments can boost economic growth, support digital services and strengthen technological capabilities.
At the same time, the environmental footprint of AI infrastructure is becoming an increasingly important topic in policy discussions worldwide. Energy use, water consumption and carbon emissions are now part of the broader conversation about the future of artificial intelligence.
The experience of communities in the United States shows that these concerns can become a significant public issue as the industry grows. For policymakers and technology companies, the challenge will be to ensure that the expansion of AI infrastructure remains compatible with long-term environmental sustainability.
As artificial intelligence becomes more integrated into everyday life, the systems powering it will continue to grow. Managing that growth responsibly will be essential for ensuring that technological progress and environmental protection move forward together.
The Logical Indian’s Perspective
India’s push to expand AI infrastructure reflects the country’s growing role in the global technology landscape. However, technological progress must move hand in hand with environmental responsibility. As data centres expand, transparent policies, sustainable energy use, and community awareness will be essential.
A balanced approach that encourages innovation while safeguarding natural resources can ensure that India’s AI ambitions contribute to long-term development without compromising environmental well-being.
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