Why Meta Data Centre Worth $9 Billion Will Use Electricity Equal to 8 Lakh Homes?

Meta Data Centre in Canada

What if I tell you that half of the electricity of your home will be transferred to an AI data centre for the advancement of technology? What will be your reaction? Households must be prioritized over giant companies. People across the North American continent are saying the same thing.

Artificial intelligence is becoming smarter every day, but powering it requires enormous amounts of electricity and water. Every chatbot, AI image generator, and coding assistant depends on massive data centres operating around the clock. 

Meta Data Centre in Canada

As AI infrastructure expands, so do concerns about its growing demand for natural resources. That debate has become even louder after the latest announcement on the Meta data centre. Meta announced a C$13 billion (about US$9 billion) AI data centre in Alberta, Canada, expected to consume electricity equivalent to nearly 8 lakh homes.

But why is this happening despite people’s protests? Let’s find out!

Why Meta Is Investing Billions in AI Infrastructure?

Artificial Intelligence has entered a new phase. Companies are no longer competing only on software features. They are competing on computing power.

Training large language models requires thousands of advanced graphics processing units working together for weeks or even months. Once those models are deployed, they continue processing billions of user requests every day. AI assistants, image generators, video creation tools, and cloud-based business services all depend on massive computing infrastructure.

That is why technology giants, including Meta, Google, Microsoft, Amazon, and OpenAI are investing billions in new AI data centre projects across the world. Owning more computing capacity has become one of the biggest competitive advantages in the AI race.

For Meta, expanding its Meta AI infrastructure is essential as it develops smarter AI models, integrates AI into Facebook, Instagram, WhatsApp, and other services, and competes for leadership in the next generation of digital technology.

Inside Meta’s $9 Billion Alberta Data Centre

The new Meta Canada data centre will be built in Sturgeon County, Alberta, making it the company’s first facility in Canada and its 33rd globally. According to Reuters, the project will begin with an initial capacity of 1 gigawatt, with room to expand to 1.8 gigawatts in the future as AI computing demand grows.

FeatureDetails
InvestmentC$13 billion (about US$9 billion)
LocationSturgeon County, Alberta
CountryCanada
Initial Capacity1 GW
Expansion PotentialUp to 1.8 GW
PurposeAI computing infrastructure
Expected Electricity UseEquivalent to nearly 8 lakh homes

Alberta was chosen for several practical reasons. The province offers abundant natural gas resources, relatively lower electricity costs, a cooler climate that reduces cooling expenses, and strong government support for attracting large technology investments. 

These advantages make the Meta Alberta data centre an attractive location for long-term AI infrastructure expansion.

Note: We have also covered “Taiwan Semiconductor Hub Supremacy: How Taiwan Became a Semiconductor Hub?” Go through the article for detailed info.

Why AI Data Centres Need So Much Electricity?

Meta Data Centre

Many people wonder why an AI facility needs as much electricity as an entire city.

The answer lies inside the servers.

Training AI models requires thousands of GPUs operating around the clock. Even after training is complete, AI services continue handling millions of requests every hour. These machines generate tremendous heat, meaning powerful cooling systems must also operate continuously.

To understand the scale, 1 gigawatt of electricity is enough to power hundreds of thousands of homes at the same time. Meta estimates that its Meta data centre electricity demand will eventually match the annual consumption of nearly 800,000 households.

This shows that AI computing is no longer just a software challenge. It has become an energy challenge.

How Meta Plans to Power the Facility?

Instead of relying entirely on Alberta’s existing electricity grid, Meta says it will support additional power generation and grid improvements.

The company has partnered with Pembina Pipeline, which is developing a natural gas-fired power plant in Sturgeon County. Until that project becomes operational later this decade, Capital Power will supply 250 megawatts of electricity from existing natural gas facilities.

Here’s the snapshot-

ComponentRole
Pembina PipelineDevelop natural gas-powered electricity generation
Capital PowerSupply interim 250 MW of electricity
Electricity GridPlanned upgrades and expansion
Renewable EnergyClean energy investments to offset electricity use

Meta says these investments will strengthen the regional electricity grid while supporting future AI growth.

What About Water Consumption?

Electricity is only part of the story.

AI servers generate significant heat, making cooling systems essential for reliable operations. Instead of traditional methods that consume large volumes of fresh water, Meta says the facility will use a closed-loop liquid cooling system that continuously recycles cooling liquid.

According to the company, total water consumption will remain lower than that of a typical golf course.

Even so, environmental experts say water use deserves careful monitoring. They argue that growing numbers of hyperscale AI facilities could place increasing pressure on local water supplies over time, particularly if similar projects continue expanding across North America.

Meta vs Amazon: Growing Environmental Concerns Around AI

The rapid growth of AI infrastructure has created a broader environmental debate.

Critics argue that increasingly powerful data centres could place additional pressure on electricity grids, increase carbon emissions if fossil fuels remain part of the energy mix, and consume valuable water resources.

Greenpeace Canada has called for stronger environmental safeguards before more mega data centres are approved.

These concerns extend beyond Meta.

Amazon recently disclosed that its global data centre operations withdrew around 2.5 billion gallons of water during 2025. The company also reported a 2% reduction in direct water use, expanded outside-air cooling, and increased the use of treated wastewater to reduce pressure on freshwater supplies.

Meta vs Amazon AI Infrastructure Sustainability

CompanyKey InitiativeWater StrategyEnergy Strategy
MetaClosed-loop liquid coolingRecycles cooling liquidGrid upgrades, natural gas, renewable energy offsets
AmazonOutside-air cooling and treated wastewaterReduced direct water use by 2%Improved efficiency and sustainability initiatives

The comparison shows that sustainability has become a major priority across the AI industry.

Why This Project Matters Beyond Meta?

The Meta data centre Canada project reflects a much bigger global trend.

Countries are competing to attract hyperscale AI infrastructure because these projects create jobs, strengthen local economies, and encourage investment in electricity networks and renewable energy.

Canada is increasingly positioning itself as an attractive destination for AI infrastructure thanks to its climate, skilled workforce, and energy resources.

At the same time, utilities must prepare for rapidly rising electricity demand as more companies build AI facilities capable of supporting cloud computing and advanced Artificial Intelligence.

Could AI Create an Energy Crisis?

There are two sides to this debate.

On one hand, larger AI infrastructure promises smarter digital assistants, faster scientific discoveries, economic growth, cloud expansion, and new employment opportunities.

On the other, the world must address rising electricity demand, environmental impacts, water availability, and the need for cleaner power generation.

The new Meta data centre in Alberta represents far more than another corporate investment. It shows how Artificial Intelligence is reshaping global energy infrastructure alongside digital innovation. 

As AI models become increasingly powerful, the greatest challenge may not be building smarter algorithms, but ensuring the world has enough sustainable electricity and water to keep them running responsibly!

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Published By: Supti Nandi
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