EQIX Reddit Mentions | ChartExchange

Two quick caveats before diving in:
1. I’m skipping the deep dive into chip supply constraints and power grid buildouts (nuclear, gas peakers, etc.)—that’s way too much for one post.
2. I’m only looking at hard numbers from recent 10-Q filings. No futuristic projections, just what’s happening *right now*.
What originally caught my eye was **TeraWulf's (WULF)** latest segment results.
Last quarter, WULF pulled in $21M from HPC (High-Performance Computing) hosting and only $13M from actual bitcoin mining. A year ago? Their HPC revenue was zero. Their power consumption dropped 46% YoY, but that doesn't read like a decline. It’s a deliberate pivot. They figured out it's simply more profitable to lease out their electricity at high margins than to mine BTC with it.
And WULF isn't an anomaly here.
# The Trend Across the Board
Look at the pattern with these other miners:
* **APLD (Applied Digital):** Went from literally $0 in HPC hosting three quarters ago to $71M last quarter. That segment just turned operating profitable for the first time.
* **CORZ (Core Scientific):** Colocation revenue exploded from $8.5M to $77.5M YoY. That business now makes up 67% of their total revenue, while their self-mining margins actually went negative.
* **IREN:** Their AI Cloud Services jumped from 2% to 23% of revenue in just five quarters. Contracted future revenue shot up from $195M to $710M in two quarters.
Different fiscal years, different starting points, but the exact same direction: mining mix is shrinking, HPC is expanding, and profitability is following the pivot.
# Why is this happening now?
Big Tech (MSFT, GOOGL, META, AMZN) is dropping north of $700B on AI infrastructure this year. The bottleneck isn't getting GPUs anymore—it's plugging them in.
Grid wait times are insane. The PJM grid operator has 800+ projects in queue with an average wait time of 8 years. Transformer lead times are 2+ years. Meanwhile, power prices on the largest US grid jumped 76% YoY last quarter.
Miners already have what hyperscalers desperately need: energized, permitted, and connected infrastructure. Sure, retrofitting a mining facility for AI isn't cheap (roughly $1.5M-$3M per MW compared to just $200K-$500K for a fresh mining rig setup). But the time-to-power advantage is something hyperscalers simply can't replicate, and they'll happily pay 3-5x more per MW to skip the line.
# The Scale (This is the crazy part)
This is what made me sit back from the screen.
Between WULF, APLD, IREN, and CORZ, you’re looking at roughly 4.5 GW of buildable AI infrastructure capacity. Global AI demand today is around 23 GW.
That means \~20% of global AI capacity potential is concentrated in four mid-cap companies with a combined market cap under $30B.
Even if AI demand doubles to 45-50 GW by 2030, throw in guys like **HUT 8** (352 MW lease) and **Cipher Mining** (907 MW contracted), and former crypto miners could legitimately control 25-30% of global AI infrastructure. That's not a niche edge case. That's a structural shift.
# What if this actually plays out?
If you're looking for the upside, miners might be the cheapest publicly traded backdoor into the AI era's scarcest asset: ready-to-go power. Right now, miners trade at 5-8x EV/EBITDA. Mature data center REITs (like **DLR** or **EQIX**) trade at 20-25x. If the market starts pricing these miners as data centers, the multiple expansion alone is massive, even without huge operational tweaks.
**The Catch / The Risks:** It’s definitely not risk-free. Customer concentration in this space is brutal right now. WULF is heavily dependent on Core42 and Fluidstack. APLD relies on basically one hyperscaler. CORZ is practically CoreWeave’s infrastructure subsidiary at this point. If they lose those relationships, the whole thesis falls apart. Plus, paying for all those retrofits requires massive financing, so shareholder dilution is a very real risk.
# The Laggards
Not everyone is pivoting successfully, even when they make better or worse attempts in this direction. **MARA**, **RIOT**, and **CleanSpark** control massive MW capacity but are still treating AI as a side quest. MARA is still 99%+ mining revenue despite buying Exaion. CleanSpark openly calls themselves a "BTC cash cow." If they don't shift soon, they risk sitting on stranded mining assets while their peers monetize the exact same power at 3-5x the rate.
# AI Bubble or Dot-Com Replay?
Everyone keeps calling this an AI bubble. I think it plays out more like dot-com though - and not because AI demand isn't real. The fiber companies of 1999 weren't wrong about internet demand. They were wrong about timing. They built infrastructure 5 years before it could be monetized. Bankrupcy cycle hit, survivors got rich a decade later.
Money can buy GPUs. Money can buy land. Money can buy contracts. Money can't buy time.
# TL;DR / The Bigger Picture
The biggest risk in the AI space isn't whether demand exists; it's whether hyperscaler CapEx commitments will outpace physical infrastructure. If you build 3 GW of GPUs but the grid only delivers 1.5 GW in time, you have billions of dollars sitting dead in the water.
That timing mismatch actually makes the miner thesis stronger. The contracts are already signed. Revenue starts month one. Cash flow is protected for 10-15 years, regardless of whether broader AI CapEx needs a reality check later.
Q2 2026 is going to be the first real test to see who actually executes: WULF’s segment trajectory, CORZ leasing their remaining 685 MW, IREN's cloud ramp, and APLD's Polaris milestones. Keep an eye on it.