… build more
This article, “The AI power crisis has one obvious answer: build more” by Andrew Au, caught my attention — especially given the current discussion around AI, data centers, and grid constraints:
It is an interesting concept — this is actually already being tested with SPAN and Nvidia in new residential developments.
💡 The idea is to use unused grid connection capacity in homes for distributed compute instead of waiting years for new data center connections.
👉 We already see similar challenges in large PV and grid connection projects — it’s often not generation that’s the bottleneck, but getting capacity onto the grid in time.
There are a few important nuances though:
• “Unused capacity” doesn’t mean there is free energy available — it’s peak capacity that needs to be actively managed
• These systems rely on smart load control, buffering, and coordination with the grid
• They are likely better suited for inference and edge workloads than large-scale AI training
⚡ From an energy perspective, this looks less like a replacement for data centers and more like a way to use existing infrastructure more efficiently.
Definitely an interesting direction given that grid access is becoming the real bottleneck.
Content Creation💡Conceived and directed by me, 📝 in collaboration with AI
#EnergyTransition #AIInfrastructure #DataCenters #GridCapacity #RenewableEnergy #EdgeComputing #DigitalInfrastructure #EnergySystems #PV #FutureOfEnergy
