NVIDIA is one of the most valuable companies in human history. Its chips run the AI systems transforming everything from entertainment to warfare. But for years, almost nobody believed in co-founder Jensen Huang’s vision. Jensen spent nearly a decade pouring billions into a technology called CUDA, long before AI made it profitable.
In this deeply personal conversation, Jensen tells Guy why NVIDIA’s very first chip was a catastrophic failure … and how at one point, the company was 30 days away from going out of business.
Jensen also explains why he thinks fears about AI are overblown, and why he believes the next generation will have more opportunity — not less — because of AI.
What You’ll Learn:
Why NVIDIA nearly collapsed before becoming an AI giant
How researchers sparked the AI boom using NVIDIA gaming chips
How to lead through uncertainty when a huge bet hasn’t yet paid off
How Jensen approaches hard decisions like an engineer
We’re “doing ourselves a disservice” by being afraid: Jensen on AI and job loss
How Jensen defends his demanding management style
Why past failures still haunt him
Key Moments From the Interview:
— Jensen Huang’s childhood at an unusual Kentucky boarding school
— Why Jensen left a stable career to help start NVIDIA
— NVIDIA’s first failure: the NV1 disaster
— The desperate trip to Japan that gave the company a lifeline
— “The only idea we had” for prototyping: the emulator Hail Mary
— The book that shaped Jensen’s thinking about innovation
— Why NVIDIA kept investing in CUDA while Wall Street lost faith
— The moment AI researchers discovered the power of NVIDIA’s chips
— Jensen on fear of job loss from AI, and why America risks falling behind
— Knowing what he knows now, would he do it again? Yes — and no
This episode was researched and produced by Alex Cheng with music by Ramtin Arablouei. It was edited by Neva Grant. Our engineers were Patrick Murray and Robert Rodriguez.
Follow How I Built This:
Instagram → @howibuiltthis
X → @HowIBuiltThis
Facebook → How I Built This
Follow Guy Raz:
Instagram → @guy.raz
Youtube → guy_raz
X → @guyraz
Substack → guyraz.substack.com
Website → guyraz.com
Learn more about your ad choices. Visit podcastchoices.com/adchoices
In this deeply personal conversation, Jensen tells Guy why NVIDIA’s very first chip was a catastrophic failure … and how at one point, the company was 30 days away from going out of business.
Jensen also explains why he thinks fears about AI are overblown, and why he believes the next generation will have more opportunity — not less — because of AI.
What You’ll Learn:
Why NVIDIA nearly collapsed before becoming an AI giant
How researchers sparked the AI boom using NVIDIA gaming chips
How to lead through uncertainty when a huge bet hasn’t yet paid off
How Jensen approaches hard decisions like an engineer
We’re “doing ourselves a disservice” by being afraid: Jensen on AI and job loss
How Jensen defends his demanding management style
Why past failures still haunt him
Key Moments From the Interview:
— Jensen Huang’s childhood at an unusual Kentucky boarding school
— Why Jensen left a stable career to help start NVIDIA
— NVIDIA’s first failure: the NV1 disaster
— The desperate trip to Japan that gave the company a lifeline
— “The only idea we had” for prototyping: the emulator Hail Mary
— The book that shaped Jensen’s thinking about innovation
— Why NVIDIA kept investing in CUDA while Wall Street lost faith
— The moment AI researchers discovered the power of NVIDIA’s chips
— Jensen on fear of job loss from AI, and why America risks falling behind
— Knowing what he knows now, would he do it again? Yes — and no
This episode was researched and produced by Alex Cheng with music by Ramtin Arablouei. It was edited by Neva Grant. Our engineers were Patrick Murray and Robert Rodriguez.
Follow How I Built This:
Instagram → @howibuiltthis
X → @HowIBuiltThis
Facebook → How I Built This
Follow Guy Raz:
Instagram → @guy.raz
Youtube → guy_raz
X → @guyraz
Substack → guyraz.substack.com
Website → guyraz.com
Learn more about your ad choices. Visit podcastchoices.com/adchoices
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