Mike Litman
The Megawatt Thesis
LEOPOLD ASCHENBRENNER / SITUATIONAL AWARENESS LP

The Megawatt
Thesis

How a 24-year-old turned $225M into $5.5B by betting on the one thing AI actually needs.

THE PERSON

Leopold Aschenbrenner

19
Columbia University valedictorianTop of his class.
22
OpenAI Superalignment teamHelping lead the effort to align superintelligent AI.
23
Fired. Published a 165-page manifesto.Raised safety concerns. OpenAI showed him the door.
24
Running one of the most aggressive hedge funds in AI.Zero prior fund management experience.
WHY HE'S CREDIBLE

He didn't read about
AI infrastructure.
He built it.

Working inside OpenAI's Superalignment team gave him direct sight of the actual compute requirements at the frontier. He didn't make a financial bet on a trend. He translated what he'd seen from the inside into a portfolio thesis.

Backed by

Patrick & John Collison
Founders, Stripe
Nat Friedman
Former CEO, GitHub
Daniel Gross
Co-founder, Pioneer
THE TRADE

He sold every share of Nvidia and Broadcom. Then bought fuel cells, Bitcoin miners, and power companies.

While AI funds were stacking Nvidia at 30x revenue, Leopold built the exact opposite portfolio.

165
THE ARGUMENT

A 165-page essay.
AGI by 2027.

Written in 2024, while he was building his fund. Specific, dated, unflinching. Not a vague prediction — a roadmap with a delivery estimate.

SITUATIONAL AWARENESS PUBLISHED 2024 AGI TARGET: 2027
THE INSIGHT

You can order 100,000 GPUs and take delivery in six months. You cannot add 500 megawatts to the grid in six months.

The binding constraint on who builds AGI first is watts per rack.

THE MATH

AI compute scales
every 12–18 months.

2022
10 MW
GPT-4 training cluster. Cost: ~$500M.
2024
100 MW
100,000 high-end GPUs. Billions to build.
2026
1 GW
Right now. Output of a large nuclear reactor.
2028
10 GW
More electricity than most US states generate in total.
2030
100 GW
The trillion-dollar cluster. 20% of all US electricity. One data centre.
AND THAT'S JUST THE TRAINING

Inference runs on top.
Continuously. For everyone.

Training
1 GW
A single training run. Intensive, then done. The number everyone talks about.
Inference
Multiples
on top
The continuous compute required to run AI products for hundreds of millions of users. Every query, every response, every agent action. Running 24/7.

The power problem is not just about building AGI. It's about running it once you have it.

5%
THE PROBLEM

US electricity production
grew 5% in a decade.

The grid was not built for this. Transformer shortages. Switchgear backorders. Cancelled data centre projects. These are not teething problems — they are the first visible symptoms of a power system hitting a wall.

GRID INTERCONNECTION: 2–3 YEARS HALF OF ALL PLANNED US DATA CENTRES STALLED
THE BOTTLENECK

The bottleneck is not the models. Not the chips. Not the software. The bottleneck is whether civilisation can generate enough electricity to run the machines fast enough to matter.

55
THE BET

Bloom Energy.
Power in 55 days.

Solid oxide fuel cells that generate electricity directly at the data centre site. No grid connection required. While competitors wait 2–3 years for grid interconnection, Bloom delivers a fully operational system in under two months. Oracle's 1.2 GW deal closed because Bloom beat its own schedule by a month.

55 DAYS TO LIVE VS 2–3 YEARS ON GRID BYPASSES GRID ENTIRELY
THE GAP

Two curves.
One widening gap.

GPU Supply
Expanding on a known curve.
Delivery timelines are predictable. Manufacturing scales. You can plan around it.
Electricity Supply
Stuck.
The grid is constrained. Interconnection queues are years long. You cannot accelerate it with money alone.

Leopold bet his entire net worth on the gap between those two curves. So far, the gap is only getting wider.

THE POSITION
$876M
Bloom Energy position, entering 2026
15% of the fund. The largest single holding.
~$2B
Current estimated value
After Oracle's 2.8 GW fuel cell deal. The position more than doubled.

He also holds Core Scientific and other former Bitcoin miners — betting they have the plugs AI needs to grow.

THE FUND — SITUATIONAL AWARENESS LP
$225M
Starting equity, 2024
Zero prior fund management experience. The Collison brothers, Nat Friedman, and Daniel Gross backed him anyway.
$5.5B
Equity exposure, Q4 2025
Beat the S&P by 47% in its first six months.
2.8
THE VALIDATION

Oracle. 2.8 gigawatts.
The thesis confirmed.

Oracle contracted 1.2 GW of Bloom fuel cells immediately, with a pipeline to 2.8 GW total. They chose Bloom because it delivered a fully operational system in 55 days — a month ahead of schedule. Grid interconnection would have taken three years. Oracle needed power yesterday.

+24% IN ONE SESSION 1.2 GW SIGNED IMMEDIATELY 2.8 GW PIPELINE
THE TIMELINE
Now
Smarter than most graduatesModels already outperform across most standard benchmarks.
2027
Expert-level AIAs capable as the best professionals in any field. Not a chatbot — a drop-in remote worker that runs autonomously for hours.
2028
The "unhobbling"Agents use computers freely, run long-horizon tasks without checkpoints. Economic value unlocks almost overnight.
2030
The trillion-dollar cluster100 GW. 20% of all US electricity. One training run. The AGI threshold.
THE TAKEAWAY

He did not buy a power company because he liked the chart. He bought it because he ran the math on what AGI physically requires to exist — and concluded that electricity is the asset class of the decade.

His own timeline says the demand that drove this trade is just getting started.

Mike Litman

PRESENTED BY

Mike Litman

mikelitman.me · hello@mikelitman.me

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