Building the Global AI Companies Infrastructure of Tomorrow
By Aiman JoeHanz
Length4h 31m
About this audiobook
The companies building machine intelligence look like software firms but run like heavy industry: fabs, campuses, power contracts, and decade-scale capital beneath a chat interface. This guide walks the machine from the atoms up - the silicon chokepoints, the campus checklist, the energy bargain, the data pyramid, the training run, the capital machine, the fragmenting geopolitical map, and the operating discipline that holds it together. A systems blueprint for understanding who builds intelligence and what it actually costs.
Audiobook details
GenreEducation and Learning
Length4 hrs 31 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateSep 20, 2026
LanguageEnglish
Table of contents
1Title Page
2Introduction
3Chapter 1: The Industrial Turn — What a Global AI Company Actually Is
4Chapter 2: The Machine Layer — Silicon, Wafers, and the Chips That Carry the Frontier
5Chapter 3: The Factory Floor — Campuses, Land, Cooling, and the Built Machine
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6Chapter 4: Energy — The Grid as the Binding Constraint
7Chapter 5: The Data Layer — Corpora, Curation, and the Raw Material of Intelligence
8Chapter 6: The Model Layer — Training Runs, Scaling, and the Frontier Lab as Institution
9Chapter 7: The Capital Machine — Funding, Depreciation, and the Accounting of Acceleration
10Chapter 8: The Geography of Intelligence — Export Controls, Sovereign AI, and the Fragmenting Map
11Chapter 9: The Ecosystem Around the Frontier — Open Weights, Toolmakers, and the Applied Layer
12Chapter 10: Operating the Machine — Talent, Safety, and the Honest Ledger
13Frequently Asked Questions
14Glossary
15Copyright
16About the Author
17About this Series
18Connect
Series
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