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A few days ago, I came across a meme while scrolling through the internet.
"A Hilarious Prank: Spend 10 years studying, only to be entirely replaced by an AI machine."
It sounds like a dark joke. But in the IT industry right now, that punchline is becoming our reality.
Just three or four years ago, coding was practically synonymous with a guaranteed career. I was right there in the mix. I enrolled in a bootcamp with dreams of becoming a developer, and today I work as a network administrator at a tech company. Honestly, I was an opportunist riding a massive trend. Back then, bookstores were packed with titles promising a new life and instant wealth through coding.
Look at where we are now. A TikTok video went viral recently featuring a student who graduated with top honors in Computer Science from a prestigious U.S. university. Her reality check: "The only place that gave me an interview was Chipotle." Shortly after, another CS graduate shared that they were rejected by a local McDonald's for lacking experience. This is the hangover from the coding gold rush we all rushed into.
The Collapse of the Bootcamp Fantasy
The first casualties of this bubble bursting were people like me. Non-majors who bet their livelihoods on the coding dream.
Around 2022, IT academies were marketing themselves aggressively. The pitch was simple and seductive. Learn a few lines of code and tech companies will be lining up to hire you. Looking back, it sounds absurd.
Countless people signed up. For most, the outcome was devastating. Many who quit stable jobs to pursue developer courses are now unemployed or stuck in a cycle of short-term contracts and unpaid internships. The whisper going around the industry right now is grim.
"Even the top 1 to 2% of coding bootcamp graduates are barely scraping by to get hired."
That means 98 out of 100 are effectively facing failure. And whenever that kind of desperation fills a market, someone shows up to exploit it. In Korea, there was an infamous case where people could obtain a Level 1 Coding Instructor certificate by taking an exam that was a carbon copy of the practice questions. A predatory business model feeding on anxiety.
I'm not exempt from this. To land my current job, I memorized dump files just to pass my CCNA certification. Because I lacked the real fundamentals, I eventually had to go back and relearn everything from scratch. These educational shortcuts are like pouring gasoline on a burning house. For people who invested thousands of dollars and walked away from stable careers for what turned out to be a mirage, the damage is real and lasting.
The Invisible Wall of AI
So why did the corporate world turn its back on all these hopefuls?
The answer from hiring managers is consistent.
"Short-term training has serious limitations when it comes to practical capability and foundational computer science knowledge."
A crash course simply isn't enough to handle the complex, unpredictable problems that show up in the real world. And for someone without that foundational depth, a handful of certificates means nothing against what AI can now do. The era of non-majors easily pivoting into tech is effectively over.
But what about the actual Computer Science majors from top universities? The numbers there are equally sobering.
According to a report by the Federal Reserve Bank of New York, the unemployment rate for CS and Computer Engineering graduates is now higher than that of biology or performing arts majors. The degree that once represented the safest career path is now trailing behind liberal arts.
Inside Big Tech, the picture is even bleaker. An analysis by venture capital firm SignalFire shows that entry-level hiring at companies like Alphabet, Amazon, Apple, and Meta has dropped by more than half since 2022. The companies that built the modern internet have effectively shut the door on new graduates.
With nowhere to go, many are retreating to graduate school. San Jose State University, located right in the heart of Silicon Valley, recently recorded its highest incoming enrollment in history. Analysts aren't reading this as a surge in academic interest. It's a survival tactic. A way to buy time in a frozen job market.
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| Graduate school has become a survival shelter for many |
The Cruel Zero-Sum Game of Big Tech
Why is this happening? Generative AI is the obvious answer. But the real issue has shifted from technology to money.
Big Tech companies have completely restructured how they allocate their budgets. In the past, they hired and developed dozens of junior developers. Today, that same budget is being redirected toward a small number of elite AI researchers and large-scale infrastructure investment.
A recent survey found that 43% of working developers believe ChatGPT's coding ability already exceeds that of a human developer with one to three years of experience. Microsoft is now generating 30% of its internal code using AI. There is simply no financial incentive to pay a premium for an entry-level hire when AI can do the same work faster and cheaper.
The market has split into two extremes.
"On one end, Meta is reportedly offering $100 million to poach a single AI genius. On the other, Microsoft is laying off 17,000 employees."
Tens of thousands of ordinary developers are being pushed out to make room for one exceptional one. That's the math now.
The Ultimate Dilemma and Our Next Step
This isn't just a developer problem. It's a signal about where the entire job market is heading.
At a large career fair I attended last year, the message from corporate recruiters was unmistakable. They were hunting for STEM talent, specifically in semiconductors and IT. Among the students, a quiet consensus had formed. For humanities majors, adding a STEM double major was no longer a strategy. It felt like a matter of survival.
But here's the paradox. Even if you push through that and land a developer job, the next fear is already waiting. When will AI replace me?
Stay in the humanities and there are no jobs. Pivot to STEM and AI is already there ahead of you. It feels like a dead end no matter which direction you turn.
So where do we actually go from here?
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| A future where AI-driven basic income redefines the purpose of human work |
I found something close to an answer in a recent interview with Elon Musk, where he laid out a vision of a future where AI advancement leads society toward a universal basic income. A world where basic needs are covered and work becomes more of a choice than a necessity.
If that world is coming, maybe the question isn't which skill is most marketable right now. Maybe it's what you would actually choose to spend your time on if the pressure of survival weren't driving every decision.
That's the question I keep coming back to. And I don't think there's one right answer. But I do think it's worth sitting with.
Related Insight: [The CUDA Prison: Why Nvidia’s Software is the Real Monopoly]
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