# Meta’s First Canadian AI Campus Was Planned Around the Grid > Source: > Published: 2026-07-09 16:29:00+00:00 # Meta’s First Canadian AI Campus Was Planned Around the Grid Meta’s 1 GW Alberta campus reveals how hyperscalers now secure power and transmission years before announcing AI campuses. Meta’s first Canadian data center will rise in Sturgeon County, Alberta, marking a more than US$9 billion (roughly C$13 billion) investment in a 1 GW AI campus expected to employ roughly 3,000 construction workers at peak and more than 300 permanent employees once operational. The company also plans to invest approximately $42.3 million in local road and water infrastructure. On its own, the announcement represents one of the largest AI infrastructure investments disclosed this year. But the more revealing detail may be how Meta described preparing to build it. The company said it worked with Greenlight Limited Partnership, AltaLink, Capital Power, and the Alberta Electric System Operator “to plan for and meet our energy needs years in advance” of the data center coming online. That statement offers a glimpse into how hyperscalers are approaching the next generation of AI infrastructure. Rather than announcing campuses and then pursuing power, operators are increasingly securing generation, transmission capacity, and regulatory alignment before making projects public. As campuses scale from hundreds of megawatts to gigawatts, locking in electricity years in advance is emerging as a key advantage in site selection and delivery. Meta’s announcement comes as hyperscalers race to expand AI infrastructure to support increasingly compute-intensive models. Meta, [Microsoft](/build-design/chevron-lands-20-year-microsoft-deal-to-power-west-texas-ai-campus), [Amazon](/data-center-construction/amazon-s-200b-ai-bet-signals-shift-to-supply-led-data-center-buildout), [Google,](/data-center-construction/google-lays-out-9b-virginia-data-center-investment-plan) and [Oracle](/infrastructure/oracle-eyes-50-billion-for-ai-infrastructure-in-2026) have all announced multibillion-dollar AI infrastructure investments as they compete for power, transmission capacity, and development-ready sites. “The hyperscaler race is moving from site acquisition to power-path control,” said Neil Osnato, founder of Persistence Analytics Group. “For a 1 GW AI campus, land and GPUs are not enough. The advantage belongs to operators that can prove generation, transmission, interconnection, regulatory approvals, and community durability years before the project comes online.” Balaji Tammabattula, CEO of BaRupOn, said the industry's development timeline has fundamentally changed. “Grid interconnection and transmission upgrades are measured in years, and in some jurisdictions the queue itself is the bottleneck before a single permit is filed,” he said. “That's why you're seeing developers negotiate power agreements before they've finalized site plans.” ## Power Secured Years Before Build Osnato said gigawatt-scale AI campuses increasingly require developers to [coordinate with utilities](/energy-power-supply/ai-power-boom-rewrites-the-utility-playbook), transmission providers, regulators, and power suppliers well before projects become public, shifting competitive advantage from land acquisition to an executable power strategy. For developers, access to electricity has become the primary factor determining where and how quickly projects can proceed. Tammabattula said those conversations are beginning much earlier than they once did. “We've seen that engagement move from what used to be a six- to 12-month conversation right before construction, to something that now starts three to five years out, sometimes earlier for gigawatt-scale projects,” he said. “Developers who show up early with a credible plan and a real commitment get a seat at the table. Developers who show up late get put in line behind everyone else.” ## Addressing the Ratepayer Debate Meta devoted an unusual portion of its announcement to explaining how the Alberta campus will be powered and paid for. The company said it plans to add enough clean energy to Alberta’s grid to match 100% of the facility’s annual electricity use. Meta said it pays “the full costs of our data centers’ energy use so other consumers aren’t negatively impacted” and that it is “fully funding new generation and grid infrastructure in Alberta to support our data center,” adding that those investments “will improve reliability across the entire Alberta grid and benefit all consumers.” Those statements speak directly to one of the most contentious questions facing AI infrastructure: whether the rapid growth of data center loads shifts infrastructure costs onto other utility customers. ## Why Alberta’s Market Suits Hyperscale AI The announcement highlights Alberta’s emergence as a destination for large-scale AI infrastructure. The province’s competitive electricity market and its ability to accommodate large industrial loads have drawn increasing attention from hyperscalers seeking alternatives to more capacity-constrained US markets. Meta said its investment extends beyond the campus itself. In addition to funding roads and water infrastructure, the company said it is making “strategic network infrastructure investments” intended to help the region accommodate future large-scale developments. Meta said the campus will use a closed-loop liquid cooling system with dry cooling, eliminating operational water use for cooling. In this design, heat is rejected without evaporative water consumption under normal operations. Water will instead be used for construction, building operations, and fire protection systems. ## Why It Matters For data center operators, the announcement is significant not simply because Meta is entering Canada, but because it illustrates how the largest AI campuses are now being developed. While a public announcement may be the first visible milestone, the underlying work to secure generation, transmission, and regulatory support is taking place years in advance. As AI facilities push toward gigawatt scale, competitive advantage is increasingly defined by the ability to align generation, transmission, permitting, and regulatory approvals well before a campus is revealed. For the largest projects, the race is no longer just about deploying more GPUs; it’s about delivering the power systems that make those GPUs viable. Tammabattula said power has become the industry's defining constraint. “Power capacity cannot, not on the timelines this industry is moving at,” he said. “The companies willing to build or secure their own generation, and do the unglamorous work of transmission planning and regulatory coordination years ahead of need, are the ones who will be able to scale when everyone else is stuck waiting for interconnection.”