Lex Fridman interview with Huang.
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Jensen Huang just told every college student on Earth the one thing that determines whether they get hired.
It is not their GPA.
It is not their degree.
It is not their internship.
Huang: “If I have a choice between two, I would hire the one who’s expert in using AI.”
He did not say prefer. He said hire.
One gets the job. One does not. The only variable is whether you learned to use the machine.
Then he went down the list.
Accountant. Hire the one who uses AI.
Lawyer. Hire the one who uses AI.
Marketing. Supply chain. Sales. Customer service.
Every function. Same answer.
The person who can command the model does not have an edge. They are the only candidate in the room.
Everyone else is applying for a job that no longer exists.
Huang: “If you’re a carpenter, if you’re an electrician, go use AI. If I were a farmer, I would absolutely use AI.”
That line should demolish every assumption about who this technology is for.
This is not a Silicon Valley tool for software engineers.
This is infrastructure for anyone who builds anything with their hands or their head.
A farmer who uses AI to optimize soil, predict weather, and manage yields is not competing with other farmers.
They are operating at a level that used to take an entire department.
An electrician who uses AI to model loads, simulate wiring, and quote jobs in seconds does not compete with other electricians.
They compete with firms.
One person with the model replaces the output of a team without it.
That is not a prediction. That is Tuesday.
Huang: “Every college student should graduate and be an expert in AI.”
Not familiar with it. Not aware of it. Expert.
The university system is still training students to execute the work.
The market already moved. It wants the person who directs the machine that executes it.
Four years of tuition. Thousands of hours of lectures.
And if you walk out the door without mastering the one tool that redefines every industry you could enter, you burned all of it.
Huang: “I want to see what it could do to elevate my job, so that I could be the innovator to revolutionize this industry myself.”
That is the part most people miss.
AI does not replace ambition. It multiplies it.
The carpenter who learns the model does not lose their craft. They scale it.
The pharmacist who learns the model does not become redundant. They become dangerous.
One person. Deep skill. Full command of the machine. That used to be called a company.
The question is no longer what do you know.
It is what can you build with the machine that knows everything.
And the people who cannot answer that are not falling behind.
They already fell.
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