AI is not a bubble, but the construction project of the century

🤖 Everyone says: “AI is a bubble.” Too much money, startups without revenue, valuation on valuation, and it’s all going to collapse any moment.
Okay. Let’s assume that… But here’s the nuance: governments have entered this “bubble.” States do not play in speculation.

They don’t buy dogecoin for fun or make bets to show off on Reddit. They invest where their position in the world will be determined tomorrow. If they go into AI with billions and decade-long strategies, it is no longer “inflation.” It’s construction.

Infrastructure has simply changed form.
19th-century roads → 20th-century power grids → 2000s internet → now computational networks and robots.
The road is no longer asphalt. The road is compute.

When the US allocates hundreds of billions for chips, nuclear energy, and data centers, it’s not an attempt to resell assets at a higher price. It’s an effort not to end up a relic in the face of a global automation tsunami.
When the UAE builds AI campuses and buys tens of thousands of GPUs, it’s not hype; it’s a purchase of the future.
When China closes its technological loop, it’s not a “startup incubator.” It’s a direct analog of 20th-century industrialization.

AI is not an industry. AI is the new foundation of all industries.

Just as electricity once stopped being a “tech toy” and became the oxygen of the economy.
Just as railways reshaped trade, and the internet reshaped communication.
AI reshapes everything: manufacturing, medicine, data security, education, defense, logistics.
This is not a “bubble.” It’s a change in the material base of civilization.

The key point:
Today, compute is the new GDP.
A country with cheap energy + access to models + sovereign data centers = produces more, faster, cheaper.
A country without it is, at best, a periphery, at worst, a digital colony.

In the 20th century, without electricity, you were poor.
In the 21st century, without the internet.
In the 25th century, without AI.

That’s why governments don’t pour money into “apps.” They pour money into pipes:
chips, factories, data centers, hydrogen, cooling, optics, new energy generation, robots.
Because the next Google, Siemens, Pfizer, Toyota will be built on this foundation.
Whoever controls compute dictates the rules.

Yesterday — oil.
Today — computation.
Tomorrow — autonomous systems.

And yes, there will be a lot of garbage. Startups will die, memes will fade, valuations will fall.
Normal. Every construction site has a trash bin.
But the main road will remain. And along it, the next 30 years of economic growth will travel.

So what?

For states:
Compute becomes the new GDP.
Cheap energy + models + data centers = strategic power.
Importing models = importing dependency. Sovereign capabilities are not a luxury; they are a condition of competitiveness.

For business:
The best place is not on display, but in infrastructure.
Shovels and rails for AI: HBM, packaging, cooling, power grids, optics, interconnects, inference chips.
These are the segments insured by budgets, not venture moods.

For investors:
The horizon is not a quarter, but a decade.
The basket “energy → cooling → optics → packaging → inference management” exposes the most reliable demand: state demand.

For companies and startups:
Those without access to cheap energy and cooling — inference margins will burn in electricity bills.
The window of opportunity has already opened. And it will not wait.