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Why The World's Richest People Want You To Stop Coding

Subject: The $4 trillion CEO just told students to quit programming. Here's why.

You're about to make the biggest mistake of your career.

And you don't even know it yet.

While you're grinding through Python tutorials and React bootcamps, the two most powerful people in tech just told the world to stop learning code.

Elon Musk. Jensen Huang.

Combined net worth? Over $300 billion.

Their message? Physics beats programming.

But here's what they're not telling you...

The Conversation That Changed Everything

July 12th, 2025. Telegram's CEO Pavel Durov drops this on Twitter:

"If you're a student choosing what to focus on, pick MATH."

Within hours, Elon Musk replies: "Physics (with math)."

Six days later, Jensen Huang—CEO of the world's most valuable company—tells students in Beijing:

"The 20-year-old Jensen would have probably chosen more of the physical sciences over the software sciences."

This isn't career advice. It's a warning.

Why Your Coding Skills Are About To Be Worthless

Here's what happened while you weren't paying attention.

AI learned to code.

Not just simple scripts. Everything.

Eric Schmidt, former Google CEO, predicts that within one year, most programming will be done by AI. Routine tasks? Gone. Debugging? Automated. Even complex applications? AI handles them now.

But you already knew this, didn't you?

You've seen ChatGPT write functions in seconds. You've watched GitHub Copilot complete entire files. The writing's on the wall.

And that's exactly why Huang says something that should terrify every programmer:

"Everyone can write code simply by prompting AI using natural language."

Think about that. Everyone can code now. What makes you special?

The $65 Million Problem (And How Physics Solved It)

Here's where it gets interesting.

Musk wanted to go to Mars. Rockets cost $65 million each. Impossible economics.

Most people would negotiate better prices. Find cheaper suppliers. Normal business thinking.

But Musk studied physics. So he asked different questions:

"What is a rocket made of? What do those materials actually cost?"

Answer: 2% of the selling price.

Result: SpaceX. 10x cost reduction. Mars suddenly possible.

This is called first principles thinking. Physics teaches it. Business school doesn't.

The Physical AI Revolution You Missed

While everyone's obsessing over ChatGPT, something bigger is happening.

AI is leaving the screen.

Huang calls it "Physical AI" - systems that understand friction, gravity, momentum. Real-world physics.

Think about it. Your laptop AI can write code. But can it catch a falling cup? Navigate around furniture? Understand that a ball rolling off a table doesn't just disappear?

No. And that's the trillion-dollar opportunity.

The Jobs Everyone's Fighting Over

Right now, manufacturing has 465,000 open positions. Can't fill them.

Why? They need people who understand both code AND physics.

• Robotics engineers: $95k-$150k

• Automation specialists: $80k-$130k

• AI systems designers: $120k-$200k

But here's the catch. These aren't just programming jobs. They're physics problems disguised as tech roles.

Companies like Foxconn and BYD are already using Nvidia's Isaac AI for robotic manufacturing. The robots need to understand force, balance, material properties.

Code? AI writes that. But understanding how things actually work? That's still human territory.

Why This Matters More Than You Think

Your car's autopilot needs to understand momentum and friction.

Your delivery drone needs aerodynamics and weather physics.

Your surgical robot needs to know tissue properties and force application.

Every "AI job" of the future is actually a physics job.

And most programmers have no clue.

The Uncomfortable Truth About STEM Jobs

Here's what the career counselors won't tell you.

STEM jobs are growing 8% annually vs 3.7% for everything else. But there's a problem.

Only 50% of US high schools offer calculus. Only 63% offer physics.

Translation: Most people can't compete for these roles.

But you can. If you start now.

What This Means For You

Two paths ahead:

Path 1: Keep learning JavaScript frameworks. Compete with millions of other programmers. Watch AI automate your skills one by one.

Path 2: Learn physics and math. Understand how things actually work. Build systems that AI can't replace because they require real-world understanding.

Jensen Huang sees a world where "everything is going to be robotic." But those robots need human designers who understand physics.

The question isn't whether you should learn physics.

The question is whether you want to design the future or get replaced by it.

What To Do Right Now

Don't drop everything and enroll in a physics PhD. That's not the point.

Start thinking like a physicist:

• Question basic assumptions about how things work

• Break complex problems into fundamental parts

• Understand the physical world your software lives in

Take a mechanics course. Study thermodynamics. Learn materials science.

Not to become a physicist. To become indispensable.

Because when AI can code anything, the real value is knowing what to build and why it'll work.

And that requires physics.

P.S. This shift is already happening. The companies investing billions in Physical AI aren't waiting for workers to catch up. Nvidia's Omniverse platform is already training thousands of virtual robots in physics simulations.

The question isn't if this changes everything.

The question is whether you'll be ready when it does.

Want more insights on the future of work? Hit reply and tell me what you're seeing in your industry.