Linking To And Embedding “AI for Physicians, Part 2: The $7 Trillion AI Stack Behind Every Tool”

Today, I review, link to, embed, and excerpt from “AI for Physicians, Part 2: The $7 Trillion AI Stack Behind Every Tool”.

All that follows is from the above resource.

AI for Physicians, Part 2: The $7 Trillion AI Stack Behind Every Tool

Dr. Dominique Monlezun | Responsible Health AI

Tech companies will spend $7 trillion building AI infrastructure by 2030 — more than the Apollo program, the first nuclear weapon, and the U.S. rail system combined.
In Part 2 of AI for Physicians, Dr. Dominique Monlezun breaks down what AI in medicine actually runs on: five interlocking layers — energy, chips, infrastructure, models, and applications — that together make up the full AI stack.
What you’ll learn in this video:
• The five layers of the AI stack — energy, chips, infrastructure, models, and applications — and why understanding all five separates a physician who uses AI from one who can lead it
• Why Microsoft, Amazon, Google, and Meta are all making nuclear power deals to keep AI running, because intelligence at scale is now an energy problem before it’s a software problem
• Why over 90% of the world’s most advanced AI chips are manufactured in a single country — and why that makes chip supply a matter of national security
• The $7 trillion infrastructure number, and how it compares to the Apollo program, the first nuclear weapon, and the entire U.S. national rail system
• The exact equity gap this stack already produces: 70%+ of U.S. hospitals use predictive AI-enabled EHRs, versus roughly 7.5% across Africa — and why that gap starts three layers below the app you’re using
This video is Part 2 of an 8-part series built from the first comprehensive, stacked AI Executive Certification and Master’s curriculum in graduate medical education — designed to equip physicians and health leaders to lead the responsible co-design, implementation, and governance of AI across the health ecosystem.
📺 The series:
Part 1 — AI Overview: History, Types, and the Race to Superintelligence
Part 3 (coming next) — The Health Stack: Healthcare, Public Health, and Global Health as One Ecosystem
About Dr. Dominique Monlezun:
Dr. Monlezun is the world’s first triple-doctorate-trained physician-data scientist and AI ethicist, and Mayo Clinic’s inaugural AI Associate Program Director. He is the founder, CEO, and Chief AI Officer of GSAS, advising healthcare systems, public health agencies, global health institutions, governments, and technology companies on scaling responsible AI across the enterprise — from the executive suite to the point of care.

 

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