The market has already painted trillions of future AI capitalization. But in reality, this story has an enemy that cannot be bypassed by optimizers and cannot be defeated by another model update.
⚠️ Electricity. Networks. Connections.
And Big Tech has started to talk about it openly.
1️⃣ The problem is no longer with the GPU
Microsoft CEO Satya Nadella directly acknowledged: the key limitation of AI is not the chip shortage, but the shortage of the ability to quickly deploy them in ready data centers with access to energy.
This is an important regime change:
earlier bottleneck = chip production
now bottleneck = infrastructure "plug-in entry"
2️⃣ Google confirmed the most painful fact: the network is falling behind
Reuters quotes Google's position: the American transmission system is the biggest challenge for connecting data centers, and connection times may exceed decades in certain areas.
And this is not "corporate complaints." This is a signal:
AI demand has become so great that it has started to break the rhythm of infrastructure.
3️⃣ Europe: restrictions are even stricter
The IEA states directly: in the EU, connection queues can last 2–10 years, while in key data center hubs FLAP-D — on average 7–10 years.
That is, even if there is money and land for the data center —
time becomes a scarcity no less than electricity.
4️⃣ Why this is a "red flag" for the market
The AI narrative in 2026 often sounds like "infinite demand."
But the physical reality is:
the demand for computing is growing exponentially
networks and permits are growing linearly
the energy system is inertial
This means that AI may enter a phase where growth does not stop, but becomes uneven and more expensive.
And the market that evaluates the "direct path to the sky" will suddenly receive a curve with delays.
5️⃣ How this reads through macro
If AI becomes an "infrastructure story," then the key beneficiaries are no longer just software and chips, but:
energy
network investment programs
data center construction
permitting reform (permitting)
And this very much resembles how the "digital" trend transforms into a "real" CAPEX cycle.
Conclusion from @MoonMan567
The AI revolution is not going anywhere. But its pace in 2026 may be determined not by code or GPU, but by what has always defined the real economy:
⚡ electricity
🏗️ infrastructure
🕰️ connection time
The market does not fear technologies.
The market fears delays.
👉 Subscribe to @MoonMan567 , if you want to see where the real boundary lies between hype and physics.
