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Power · Kardashev

Type I civilization, and the 30× problem.

A simple scale, a humbling number, and the reason every serious AI-and-energy conversation eventually circles back to the same constraint.

The scale

Nikolai Kardashev proposed the scale in 1964. Carl Sagan extended it with a continuous interpolation a decade later. The full scale has three rungs:

  • Type I — planetary: a civilization that captures and uses all the power its planet receives from its star. For Earth, that is roughly 1016 W. The civilization controls its weather.
  • Type II — stellar: a civilization that captures all the power its star emits. ~1026 W. Indestructible.
  • Type III — galactic: a civilization that captures the power of an entire galaxy. ~1036 W. Indistinguishable from gods.

Where we sit

Sagan's formula gives a continuous score:

K = (log₁₀ P − 6) / 10
where P is total power in watts

Plug in P = 19.9 TW:

  • log10(1.99) ≈ 0.299
  • log10(1013) = 13
  • log10 P ≈ 13.3
  • K = (13.3 − 6) / 10 = 0.73

Humanity sits at Type 0.73. Planetary adolescent. We have not finished extracting energy from the rug we are standing on, let alone reached the windows.

The 30× problem

Type I requires 10,000 TW — ~500× today's total power and ~3,000× today's electric grid. That is not happening this century. The realistic ask, the one a working strategist plans against, is much smaller and still hard:

  • Today's electric grid: 3.2 TW.
  • Decarbonized today: ~12 TW (after the electrification dividend).
  • Abundant electric civilization (still well short of Type I): ~100 TW.

That is the 30× problem: grow the grid by a factor of 30 to support a civilization that no longer burns things. Beyond that, the math becomes the territory of Dyson swarms and stellar engineering — not a planning horizon any current institution can hold.

Two views of the same chart

Plotted linearly, with Type I at the top, today is a pebble at the foot of a skyscraper. The takeaway: we are extremely small.

Plotted logarithmically — wood, coal, oil, nuclear — the trend line meets Type I in roughly 300 years. The takeaway: small, but moving.

Both views are correct. Strategy lives between them.

Why this matters for AI

AI compute is the fastest-growing demand line on the existing grid. A frontier training run that wants 1 GW of continuous power is asking for 1 / 3,200 of the entire planetary grid. By 2030, the largest training clusters are projected to want 5–10 GW — somewhere between 0.15% and 0.3% of the grid each.

At Type 0.73, that demand has nowhere to hide. Every dispatcher, every regional ISO, every interconnection queue feels it. The constraint that limits frontier AI in the late 2020s is not silicon. It is that we are still adolescents on this scale, and the next decade of AI demand will land on a grid that was sized for the previous generation of civilization.

Solving it — growing the grid 3× toward decarbonization, then 30× toward abundance — is what the rest of this section explores.