Meta to build C$13 billion Alberta data centre, its first in Canada
THE SO WHAT
A 1 GW, C$13 billion campus in Alberta is another proof point that hyperscale AI buildout is now constrained by power, land, and permitting, not just GPUs. If you’re planning large-scale AI workloads, you need a power and geography thesis — not just a cloud vendor shortlist.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIThe AI data center boom has led to surging demand for power transformers, with average lead times for orders, once measured in months, now stretching into years
Transformer lead times stretching from months to years turns grid interconnects into a gating factor for AI capacity — not just a procurement nuisance. If you’re planning new data centers or high-density AI clusters, lock in electrical infrastructure early or you’ll be GPU-rich and power-poor.
Jensen Huang says his software engineers prefer building agents to writing code
When senior engineers at a leading chip company prefer building agents over hand-writing code, that’s a cultural shift — not just a tooling upgrade. For engineering leaders, the question is no longer whether to allow agents, but how to govern them, measure impact, and redesign review loops.
Meta paused AI training on employee keystrokes after data was 'put in a place it wasn't supposed to go:' CTO
Pausing an internal keystroke-training initiative after data landed in the wrong place shows how quickly trust can erode when telemetry and AI training blur. If you’re rolling out similar programs, lock down data flows and consent upfront — retroactive fixes are reputationally expensive even when technically minor.
Applied AIRecruiters Shift Focus to Specialized AI Jobs to Stay Relevant
Recruiters pivoting to niche AI roles is a tell that generic hiring is commoditizing under AI screening and sourcing tools. For operators, the real constraint is now deep domain plus AI fluency — not headcount volume — so adjust your comp bands and role design accordingly.