Silicon Valley AI Leadership Map

Who funded whom. Who trained whom. Who cofounded what.
See the structure behind AI success.

Silicon Valley AI Leadership Map showing 473 people and their connections across frontier AI companies, labs, and investors
473
People
1,794
Public Ties
12
Relationship Types
6
Recurring Patterns

What this is

We mapped 473 people and 1,794 public ties across the AI industry. Then we looked at how their work became influence, how they are connected, how their companies depend on one another, and where they disagree. The interactive map and the companion book let you explore those patterns yourself.

Designed for students, researchers, founders, operators, investors, journalists, and career changers. Start with the Preface.

▶ Peer Review · Ayman Chit · ML & Software Architect

"The framing does what I hadn't done on my own. I knew most of these people and most of the moves, but never as a coherent map. Putting it in one structured form with explicit edge types, tiers, and connectors makes the field readable in a way no amount of LinkedIn-skimming ever did."

"I ran Louvain community detection on the dataset. Most of the top communities reproduce things the book already covers. The book gets there via narrative; the algorithm gets there via edge density. Convergent results, which says good things about how the underlying data is constructed."

Serial Founder · ML & Software Architect · Autonomous Pipelines

▶ Profile Verifications

People named in the book who reviewed their own profiles and provided corrections or confirmations. 65 invited to review · no factual objections received to date · 1 profile publicly verified.

✓ Victoria Krakovna · Google DeepMind · May 2026
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