POINT OF VIEW · 2026 VOL. 2 · THE AI SUPPLY CHAIN

AI FACTORIES_

HOW DATA CENTERS CONVERT ELECTRONS INTO TOKENS

Every AI response is a product manufactured at a token factory: a data center. Data centers aren't just buildings; they are advanced machines. Electrical energy goes in, tokens and heat come out. Understand the machine and you understand the global supply chain underpinning the AI boom. Join us as we dissect the most powerful factories humans ever built.

FOLLOW THE ELECTRON
01
01_ GRID → CHIP

EnergyThe Foundation

"You can't create an industry without energy."
Jensen Huang · NVIDIA CEO

Every token begins with an electron. OpenAI's Stargate data center in Abilene, Texas will draw 1 gigawatt of power; enough to run the entire city of Seattle. Ahead: every bottleneck between the grid and the chip.

KEEP SCROLLING → THE NUMBERS

0 GW
Stargate's power draw. One data center, one Seattle.
0 kV
Voltage arriving from the grid, stepped down to ~1V at the chip.
0 YRS
How long a new power grid connection can take to be approved.

THE POWER CHAIN

Six StagesScroll to Energize

Follow the electron through every machine standing between the grid and the chip.

STAGE 01 / 06115–500 kV
Isometric illustration of high-voltage transmission towers

Transmission Lines

Transmission lines bring in electricity at very high voltages (115–500kV). Power grid connections can take 3 to 5 years to be approved.

LEAD TIME — 3–5 YEARS
STAGE 02 / 06→ 20 kV → 400 V
Isometric illustration of a high-voltage transformer

HV/MV Transformers

HV transformers step the grid voltage down to 20kV. MV transformers closer to the data halls step it down further to ~400V.

LEAD TIME — HV: 3–5 YRS · MV: 6–17 MOS
STAGE 03 / 06ROUTING
Isometric illustration of medium-voltage switchgear cabinets

Medium Voltage Switchgear

Routes power to individual data halls and includes circuit breakers.

LEAD TIME — 3–4 MONTHS
STAGE 04 / 06<20 ms
Isometric illustration of an automatic transfer switch

Auto Transfer Switch

Grid failure? Switches to backup power in under 20 milliseconds.

LEAD TIME — 12–18 MONTHS
STAGE 05 / 06BACKUP
Isometric illustration of a backup generator Isometric illustration of an uninterruptible power supply

Generators + UPS

UPS bridges the power gap during a grid outage and smooths out fluctuations while generators kick in around 90 seconds.

LEAD TIME — UPS: 2–3 MOS · GEN: 12–24 MOS
STAGE 06 / 06~400 V
Isometric illustration of a power distribution unit

Power Distribution Unit

The last stop: the PDU splits power to each individual rack at ~400V. From here, electrons meet silicon.

NEXT STOP — THE DATA HALL →
02
02_ RACKS → SERVERS → CHIPS

Data HallsWhere Compute Happens

"Compute" means mathematical work: trillions of operations per second run by GPUs and CPUs. AI workloads require 10–100x more compute per rack than traditional servers running search and streaming.

KEEP SCROLLING → THE FACTORY FLOOR

Isometric cutaway illustration of a data center with rows of server racks

THE TOKEN FACTORY FLOOR · RACKS → SERVERS → CHIPS · ELECTRONS IN, TOKENS AND HEAT OUT

100x in 8 years

RACK POWER BY NVIDIA GENERATION (kW) · 1 kW = ONE AVERAGE HOME
UNIT / RACK

Racks

Cabinets of servers that can already pull up to 120 kW today; enough to power roughly 120 homes.

UNIT / SERVER

Servers

Individual trays in each rack, packed with GPUs, CPUs, memory and networking hardware.

UNIT / CHIP · ~1 V

Chips

GPUs and CPUs doing the math at ~1V; where the electrons turn into tokens and heat.

03
03_ THERMODYNAMICS ALWAYS WINS

Cooling SystemIt's Getting Hot in Here

Every watt of electricity that goes in becomes a watt of heat. 100% of it. Cooling consumes up to 23% of the facility's total electricity usage, and the latest AI racks require liquid cooling; air cannot keep up.

0 WATT
Electricity in
0 WATT
Heat out · no exceptions
0%
Share of total facility electricity consumed by cooling alone.
LIQUID > AIR
The latest AI racks require liquid cooling. Air cannot keep up.
Isometric illustration of a coolant distribution unit
LOOP / EXTRACT

CDU / CRAH

Moves hot air or liquid away from racks using a Coolant Distribution Unit (CDU) or Computer Room Air Handler (CRAH). Returns cool liquid or air to the racks.

Isometric illustration of a chiller with cooling fans
LOOP / REJECT

Chiller

Cools hot coolant and air from the racks and releases the heat into the atmosphere.

04
04_ THE NEW INDUSTRIAL COMMODITY

TokensThe Primary Outputs

Just as oil output is measured in barrels, AI output is measured in tokens. Tokens are the new industrial commodity: sold by the millions, billed in cents, and generating real revenue. AI demand could more than triple by 2030.

KEEP SCROLLING → THE DEMAND CURVE

Global Data Center Demand

ACTUAL & FORECAST · GW BY WORKLOAD
20250 GW
38.3
20.9
23.1
2030 FORECAST0 GW
63.5
93.3
62.2
NON-AI
AI INFERENCE
AI TRAINING
WORKLOAD / LEGACY

Non-AI

Search, streaming, online software, gaming. Still 47% of today's capacity.

WORKLOAD / FASTEST-GROWING

AI Inference

Using the model. Every AI response requires inference and creates recurring token usage for every user's query, every day. Inference is the fastest-growing workload.

WORKLOAD / FRONTIER

AI Training

Teaching the model. The cost to train frontier LLM models has gone from ~$2M for GPT-3 to nearly $390M for the latest models. That's a lot of tokens.

What is a token?

A word, a pixel, an action. Every prompt in and response out is a stream of tokens: a fundamental unit measuring everything an AI model reads and writes. Tokens are priced and metered like electricity. More gigawatts = more tokens = more revenue.

The quick brown fox = 4 tokens
05
+_ WHAT THE FACTORY CONSUMES

The FootprintLand · Water · Minerals

0

Land Usage · Soccer Fields

With all the electrical, computing, and cooling equipment, data centers take up a lot of space. Stargate will take up as much space as 450 soccer fields.

0M

Water Usage · Gallons / Year

Data centers can "drink" up to 334 million gallons per year, primarily to stay cool; enough to fill over 500 Olympic-sized pools. Operators are chasing the cold in cooler climates, underwater, and even in... space.

0%

Critical Minerals · Imported

AI chips are built from imported minerals: gallium, germanium, indium, and tantalum, to name a few. The U.S. imports 100% of many of these.

ELECTRONS IN →
TOKENS OUT_

SOURCES: SEMIANALYSIS · McKINSEY · EPOCH AI · NVIDIA · MICROSOFT · GOOGLE · BLOOMBERGNEF · PAYDEN CALCULATIONS
ELECTRONS IN → TOKENS OUT. THE MOST POWERFUL FACTORIES HUMANS EVER BUILT.

AI FACTORIES_
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