The AI Energy Bottleneck
The next constraint on artificial intelligence may not be models or chips, but power. As frontier labs race to scale, the grid is emerging as the decisive variable of the decade.
AI, capital, energy and geopolitics — explained through the lens of long-term change.
The next constraint on artificial intelligence may not be models or chips, but power. As frontier labs race to scale, the grid is emerging as the decisive variable of the decade.
Compute is becoming a geopolitical asset class.
The struggle for chips, energy and data centers is becoming a new layer of global power.
Europe has talent, regulation and capital — but lacks the physical infrastructure of the AI age.
The biggest winners may not be the most obvious software companies.
Hyperscalers commit record capex to power procurement
Sovereign compute funds expand across the Gulf and Asia
Capital rotates from software multiples to physical AI
Nuclear restarts re-enter the data center conversation
Memory bandwidth becomes the new scarcity frontier
A framework for understanding the economic consequences of artificial intelligence — across capital allocation, energy systems, and the balance of geopolitical power.
Where the trillions of AI-era capital are flowing — and who absorbs the returns.
Power generation, grids and the physics that increasingly govern compute.
Chips, sovereignty and the contest to control the infrastructure of intelligence.
One sober briefing on the signals shaping AI, capital, energy and geopolitics. No noise. Read by operators, investors and policymakers.
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