CoreWeave just paid $9B for a Bitcoin miner. [ANNOUNCEMENT]
Theyโre buying Core Scientific โ yes, the ๐๐ช๐ต๐ค๐ฐ๐ช๐ฏ ๐ฎ๐ช๐ฏ๐ช๐ฏ๐จ ๐จ๐ช๐ข๐ฏ๐ต โ in an all-stock deal to supercharge their AI data centre empire.
Over the past few months, the traditional crypto miners are pivoting into AI data centres. And, this is one of the biggest moves to power AI.
Letโs unpack.
The Bankruptcy-to-Billions Playbook
Core Scientific filed for Chapter 11 bankruptcy in December 2022. Eighteen months later, CoreWeaveโan AI cloud providerโjust bought them for $9B.
What changed? The infrastructure that made Core Scientific a failed Bitcoin miner makes it a perfect AI powerhouse.
The Deal:
$9B all-stock takeover
Core Scientificโs 1.3 GW power capacity across 11 U.S. sites is now under CoreWeaveโs control
Another 1+ gigawatts ready for expansion
$10B in lease savings (over 12 years), $500M in annual cost cuts by 2027
"This acquisition accelerates our strategy to deploy AI and HPC workloads at scale," said CoreWeave CEO Michael Intrator.
Translation: We just bought the power grid for the AI revolution.
The upside is massive:
AI data centre market projected to grow from $236B in 2025 to $934B by 2030
Over 40% of global data centre capacity will be AI-dedicated by 2025

Why Bitcoin miners?
Bitcoin mining and AI training share one critical requirement: massive amounts of electricity delivered to high-performance computing hardware.
The difference? The economics are night and day. And here's where it gets interesting:
HIVE Digital Technologies discovered something remarkable: 10 megawatts of NVIDIA H100 GPUs generate the same revenue as 100 megawatts of Bitcoin mining equipment.
That's 10x the revenue density.
The numbers tell the story:
AI workloads: Up to 90% EBITDA margins
Bitcoin mining: Cyclical, razor-thin returns that disappear when Bitcoin prices crash
The great mining migration
CoreWeave isn't alone. The entire Bitcoin mining industry is pivoting:
Galaxy Digital walked away from Bitcoin mining entirely, signing a $4.5B, 15-year deal with CoreWeave for AI infrastructure.
Northern Data, HIVE Digital Technologies, IREN, and Hut8 are all converting their mining rigs to AI workloads.
Global data centre investment jumped 51% year-over-year to $455B โdriven largely by AI demand.
Read our deep dive below:
The AI infrastructure arms race
Big tech giants and upstart AI firms are racing to build the next generation of โAI factoriesโ โ vast data hubs packed with powerful chips that can train and run models in real time. Theyโre pouring billions into these facilities, not just for raw storage but for nonstop, highโpower compute.
Take xAIโs Colossus site in Memphis: a 750,000โsquareโfoot former factoryโabout the size of 418 homesโthat went from empty shell to a fully live AI centre in just 122 days. Thatโs half the time it usually takes to build a single house in America, and a stark sign that the AI infrastructure race is speeding up far beyond expectations.
But behind the breakneck build times sits a complex financial engine. Upfront costs come from land, power hookups, advanced chips, and nextโlevel cooling systems. Ongoing costsโenergy bills and aroundโtheโclock maintenanceโare just as steep when clusters run at full tilt. Returns flow in the form of AIโpowered services, platform fees, or internal gains, yet breakโeven often stretches into years.
And letโs not forget the supply chain: transformers, substations, turbines, GPUs, and highโcapacity cables canโt be conjured on demand. Securing them takes planning, contracts, and sometimes sheer luck. In this landscape, data centres are more than buildings; theyโre strategic crossroads where real estate, power, logistics, and software profits meet.
AI workloads require 5-10 times more energy than traditional computing. A single AI training run can consume as much electricity as 100 homes use in a month.
Bitcoin miners solved this problem years ago. They built massive facilities in locations with cheap, abundant power. Now, AI companies are realising these "failed" crypto operations are exactly what they need.
CoreWeave's move represents a fundamental shift in cloud computing strategy. Instead of leasing capacity from data centre operators, they're buying the entire stack:
Before: Pay rent to the data centre operators
After: Own the power, own the facilities, own the margins
CoreWeave now controls 250,000 NVIDIA GPUs across 32 data centres. That's more specialised AI compute than most traditional cloud providers.
Amazon Web Services and Microsoft Azure have broader services but less specialized AI hardware. Google Cloud has advanced AI capabilities but limited GPU inventory.
Devilโs Advocate: CoreWeave came to market with huge debt and billions in lease payments. It faces significant risks:
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