You look at a map of AI companies. They are concentrated. They are in Silicon Valley, London, Beijing, and a few other places. They are not everywhere. You wonder: why? Why is AI concentrated in certain cities? Why not others? The answer is physical. It is energy. It is cooling. It is talent. It is regulation.
This is the geography of intelligence. AI is not ethereal. It is physical. It is grounded.
The Energy Factor
AI consumes energy.
The Concept:
Training models consumes massive energy.
Inference consumes energy.
It is energy-intensive.
The Consequence:
AI is located near cheap energy.
It is located near renewable energy.
It is located near reliable energy.
A Contrarian Take: Energy Is Not the Only Factor. It Is a Factor.
Energy is not the only factor. It is a factor. There are others.
The geography is complex.
The Cooling Factor
AI generates heat.
The Concept:
Training models generates heat.
Inference generates heat.
It is heat-intensive.
The Consequence:
AI is located in cool climates.
It is located near water.
It is located in places with low cooling costs.
A Contrarian Take: Cooling Is Not the Only Factor. It Is a Factor.
Cooling is not the only factor. It is a factor. There are others.
The geography is complex.
The Talent Factor
AI requires talent.
The Concept:
AI requires skilled workers.
It requires researchers.
It requires engineers.
The Consequence:
AI is located near talent.
It is located near universities.
It is located near research institutions.
A Contrarian Take: Talent Is Not the Only Factor. It Is a Factor.
Talent is not the only factor. It is a factor. There are others.
The geography is complex.
The Regulation Factor
AI is regulated.
The Concept:
AI is subject to regulation.
It is subject to laws.
It is subject to policies.
The Consequence:
AI is located in favorable regulatory environments.
It is located in places with clear rules.
It is located in places with supportive policies.
A Contrarian Take: Regulation Is Not the Only Factor. It Is a Factor.
Regulation is not the only factor. It is a factor. There are others.
The geography is complex.
The Geography
The geography is concentrated.
The Centers:
Silicon Valley.
London.
Beijing.
Singapore.
Toronto.
The Trends:
AI is moving to new centers.
It is spreading.
It is diversifying.
A Contrarian Take: The Geography Is Not Fixed. It Is Dynamic.
The geography is not fixed. It is dynamic. It is changing.
New centers are emerging.
What This Means for You
You are part of the geography. You are a user.
- Be Aware:
Be aware of the geography.
Be aware of its implications.
- Be Strategic:
Consider the geography in your decisions.
Consider the location.
- Be Curious:
Explore the geography.
Understand the dynamics.
The Last Geography
The last geography is not a place. It is a connection.
You ask: "Where is AI going?"
The AI says: "It depends."
You realize: The geography is not a destination. It is a process.
If you could design a new center for AI, where would it be? And why?
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