“Can India develop a large AI and data-centre economy without creating unacceptable pressure on electricity, water and the environment?”

 What is a Data Centre?
A data centre is a specialised facility containing servers, storage systems, networking equipment, power systems and cooling systems that store and process enormous quantities of digital information.
A simple chain is:
User → Internet → Data Centre → Computing/Storage → Response → User
For example, when you use an AI service, search engine, cloud storage or digital banking, the required computing may happen inside a data centre.
2. Why are Data Centres expanding so rapidly?
AI is now a major driver.
Globally, the IEA projects data-centre electricity consumption to more than double to around 945 TWh by 2030. AI-oriented computing is growing particularly rapidly. �
IEA +1
India is also expanding quickly. Government data says India's data-centre capacity increased from approximately 375 MW in 2020 to around 1,500 MW in 2025. �
Press Information Bureau
One 2026 Wood Mackenzie projection is even more ambitious, forecasting India's operational capacity could reach 12 GW by 2030. �
Wood Mackenzie
3. ๐ŸŒฑ GOOD IMPACTS
A. Digital transformation
Data centres make possible:
AI and machine learning
Digital education
Telemedicine
Digital banking and UPI
E-governance
Cloud computing
Online businesses
Scientific research
Satellite and weather-data processing
B. Economic development
They attract large investments in:
Land → buildings → electricity → telecom → cooling → hardware → software → skilled employment
India is positioning itself as an important digital and AI infrastructure hub.
C. Research and innovation
This is particularly interesting for education.
Universities, startups and students can obtain access to powerful computing without purchasing their own expensive supercomputers.
India's AI compute programme, for example, had onboarded about 38,231 GPUs through 14 empanelled providers/data centres, according to the Government of India. �
Press Information Bureau
D. Better utilisation of renewable energy
Data centres can potentially become large customers for:
☀️ Solar
๐ŸŒฌ️ Wind
๐Ÿ’ง Hydro
⚛️ Nuclear
๐Ÿ”‹ Battery storage
The IEA expects renewables to provide a substantial share of the additional electricity needed for global data-centre growth. �
IEA
4. ⚠️ BAD / CHALLENGING IMPACTS
This is where our research becomes really interesting.
① Electricity consumption
Data centres operate 24 × 7.
Servers produce heat → cooling is required → cooling requires electricity → more electricity is required.
So:
More computing → more electricity → more heat → more cooling → additional electricity
This creates an important sustainability challenge.
② Water consumption
Some cooling systems consume significant quantities of water.
This becomes particularly important when a data centre is located in a water-stressed region.
A 2026 CEEW analysis estimates India's data centres used approximately 150 billion litres of water annually in 2025, with demand expected to more than double by 2030. �
CEEW
However, this figure should be interpreted carefully because water consumption varies enormously depending on cooling technology, climate and electricity source.
India's government says newer approaches such as direct-to-chip liquid cooling, immersion cooling and adiabatic cooling are being adopted to improve water efficiency. �
Press Information Bureau
③ Carbon emissions
If the electricity comes from coal or other fossil fuels:
Data centre → electricity demand → fossil-fuel generation → CO₂ emissions
Therefore, the environmental impact depends not only on the data centre's efficiency but also on where its electricity comes from.
④ Local environmental pressure
Large facilities can require:
considerable land
transmission infrastructure
backup power systems
cooling infrastructure
water supply
construction materials
Therefore, a data centre may have relatively small global impacts compared with the whole economy, but large local impacts if concentrated in one area.
⑤ E-waste
Servers and electronic equipment eventually become obsolete.
This produces:
Servers → replacement → electronic waste → recycling/disposal challenge
Responsible recycling and recovery of metals therefore become important.

Global data-centre distribution
The 2026 Stanford AI Index, using Cloudscene data for 2025, lists 11,700+ operational data centres worldwide. The United States dominates with 5,427 facilities, followed by Germany, UK and China. The report explicitly cautions that a facility count does not indicate its size or computing capacity. �
Stanford HAI +1
Rank
Country
Centres
1
๐Ÿ‡บ๐Ÿ‡ธ USA
5,427
2
๐Ÿ‡ฉ๐Ÿ‡ช Germany
529
3
๐Ÿ‡ฌ๐Ÿ‡ง UK
523
4
๐Ÿ‡จ๐Ÿ‡ณ China
449
5
๐Ÿ‡จ๐Ÿ‡ฆ Canada
337
6
๐Ÿ‡ซ๐Ÿ‡ท France
322
7
๐Ÿ‡ฆ๐Ÿ‡บ Australia
314
8
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands
298
9
๐Ÿ‡ท๐Ÿ‡บ Russia
251
10
๐Ÿ‡ฏ๐Ÿ‡ต Japan
222
11
๐Ÿ‡ง๐Ÿ‡ท Brazil
197
12
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico
173
13
๐Ÿ‡ฎ๐Ÿ‡น Italy
168
14
๐Ÿ‡ฎ๐Ÿ‡ณ India
153
15
๐Ÿ‡ต๐Ÿ‡ฑ Poland
144

2. ๐ŸŒ Global electricity
The IEA estimates that data centres consumed approximately 415 TWh of electricity in 2024, about 1.5% of global electricity consumption. Its base case projects approximately 945 TWh by 2030. �
IEA +1
If we use:
11,700 centres + 415 TWh/year
then the simple arithmetic average is:
≈35.5 GWh/year per centre
or approximately:
3. ๐Ÿ”ฅ Heat generation

 The hypothetical global-average centre is approximately:
4 MW of continuous heat generation
Annual heat energy:
≈35.5 GWh/year
or approximately:
128 TJ/year
That is why cooling is such a fundamental part of data-centre engineering.
The IEA notes that cooling can represent around 7% of electricity consumption in efficient hyperscale facilities but over 30% in less-efficient enterprise facilities. �

4. ๐Ÿ’ง Water calculation
Here we need to be particularly careful.
Water consumption cannot reliably be calculated simply from the number of centres.
The industry uses:
WUE = Water Usage Effectiveness
measured in:
litres/kWh
As an illustrative scenario, let's use 0.27 L/kWh, approximately the FY2025 global WUE reported by Microsoft for its data-centre.
5. Country-wise MODEL

hypothetical 35.5 GWh/centre/year to every country. This is deliberately a normalised model, not a claim that each country's centres actually consume this amount.
Country
Centres
Model electricity/year
Model continuous load
Model heat
Water @0.27 L/kWh
๐Ÿ‡บ๐Ÿ‡ธ USA
5,427
192.7 TWh
22.0 GW
22.0 GW
52.0 billion L
๐Ÿ‡ฉ๐Ÿ‡ช Germany
529
18.8 TWh
2.14 GW
2.14 GW
5.07 B L
๐Ÿ‡ฌ๐Ÿ‡ง UK
523
18.6 TWh
2.12 GW
2.12 GW
5.01 B L
๐Ÿ‡จ๐Ÿ‡ณ China
449
15.9 TWh
1.82 GW
1.82 GW
4.30 B L
๐Ÿ‡จ๐Ÿ‡ฆ Canada
337
12.0 TWh
1.37 GW
1.37 GW
3.23 B L
๐Ÿ‡ซ๐Ÿ‡ท France
322
11.4 TWh
1.30 GW
1.30 GW
3.09 B L
๐Ÿ‡ฆ๐Ÿ‡บ Australia
314
11.1 TWh
1.27 GW
1.27 GW
3.01 B L
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands
298
10.6 TWh
1.21 GW
1.21 GW
2.86 B L
๐Ÿ‡ท๐Ÿ‡บ Russia
251
8.91 TWh
1.02 GW
1.02 GW
2.41 B L
๐Ÿ‡ฏ๐Ÿ‡ต Japan
222
7.88 TWh
0.90 GW
0.90 GW
2.13 B L
๐Ÿ‡ง๐Ÿ‡ท Brazil
197
6.99 TWh
0.80 GW
0.80 GW
1.89 B L
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico
173
6.14 TWh
0.70 GW
0.70 GW
1.66 B L
๐Ÿ‡ฎ๐Ÿ‡น Italy
168
5.96 TWh
0.68 GW
0.68 GW
1.61 B L
๐Ÿ‡ฎ๐Ÿ‡ณ India
153
5.43 TWh
0.62 GW
0.62 GW
1.47 B L
๐Ÿ‡ต๐Ÿ‡ฑ Poland
144
5.11 TWh
0.58 GW
0.58 GW
1.38 B L

The IEA gives actual regional electricity consumption. In 2024:
๐Ÿ‡บ๐Ÿ‡ธ USA = 45%
๐Ÿ‡จ๐Ÿ‡ณ China = 25%
๐Ÿ‡ช๐Ÿ‡บ Europe = 15%
of global data-centre electricity consumption. �
IEA
Therefore:
USA ≈ 186.8 TWh/year
China ≈ 103.8 TWh/year
Europe ≈ 62.3 TWh/year


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