My FYP has been full of warnings lately – videos saying that AI is coming for our jobs. And maybe that sounds dramatic, but it’s not hard to see why people are anxious, since all this comes after some big tech companies have announced massive layoffs.
Then I saw a clip that summed it up perfectly: “They didn’t fire those people to replace them with AI. They fired them so they could pay for AI.”
And that, I think, is where the real story starts. Microsoft, Google, and Meta have already laid off a significant number of people between 2023 and 2024, all while announcing record investments in AI infrastructure.
What’s really happening right now
The cost of building and maintaining AI systems is skyrocketing. Chips – the literal hardware brains behind AI – are expensive and increasingly scarce. Companies like Amazon, Google, and Microsoft are pouring billions into this race. And when growth slows, investors get nervous, and costs rise – well, something has to give. So they cut the costs where they can. Not because AI is replacing workers (yet), but because the promise of AI is expensive to chase.
So yes, AI is taking jobs – but not in the way we imagined. Not because machines are doing our work better, but because companies are trying to fund the dream that one day, they will. That’s what makes me think the AI bubble is on the verge of popping.
We’ve seen this before
And I think I’m not the only one. I got a message the other day: “I think the AI bubble is about to pop.” My response? “Well… it happened in the ’70s, the ’80s, and the 2000s. It was just a matter of time.”
The bubble popping I’m referring to is what researchers are calling AI winters. The first one hit in the 1970s after the Lighthill Report in the UK declared limited progress; the second, in the late 1980s, followed the collapse of Japan’s Fifth Generation Computing project – and a quieter third, more of a cooldown than a winter, arrived in the early 2000s, when optimism faded after the dot-com crash and funding for AI research stalled once again.
Every major AI boom follows the same pattern: big promises, massive funding, and then reality catching up. Expectations crumble, money dries out, and the cycle resets. And right now, the signs are all there:
– Overvalued startups with no real business model.
– Big players quietly pausing projects.
– Investors pulling back.
– Economic tightening that always hits overhyped sectors first.
However, there’s also a notable difference this time: unlike past bubbles, AI is already deeply integrated into various infrastructure components, including cloud, chips, automation, and advertising. So, it might not be a burst, but rather a deflation of hype, where weaker projects die out while core technologies mature.
What the “AI bubble” actually means
Before we continue, I think we need to see what AI bubble actually is. When people talk about an AI bubble, they don’t mean that artificial intelligence will suddenly disappear. A bubble happens when excitement outpaces reality – when investors, companies, and the public all start believing that a technology can do everything, faster than it really can.
Right now, we’re in that stage:
– Startups are raising billions with little to show beyond fancy demos.
– Tech giants are spending heavily, even as profits slow and hardware costs soar.
– The market is saturated with AI-powered “solutions” that all do the same thing, just dressed differently.
Eventually, the hype cools. People realize that AI can’t live up to every promise, funding tightens, and only the projects with real value survive. That’s the AI bubble “popping” – not an explosion, but a quiet correction. AI doesn’t vanish; it simply shifts from being seen as magic to being treated as a tool.
It’s dot-com bubble all over again
If that sounds familiar, it should. The current AI hype has strong echoes of the dot-com bubble. Back then, everyone was racing to stick “.com” on their company name – now it’s “AI.” The hype inflated faster than the infrastructure could keep up. Then, just like now, everyone thought “this changes everything.” It did – but not instantly, and not for everyone.
Then came the crash: 90% of startups vanished. Investors lost billions. And yet, from those ashes came Google, Amazon, PayPal – the foundations of the modern internet. Destruction first, transformation second.
So maybe the same will happen here. If history repeats, this “AI bubble” popping could actually be a good thing: it’ll weed out the noise and leave space for genuine innovation to breathe again.
The real question: what happens to us?
Because if the AI bubble deflates, what does that mean for the job market? That’s where things get interesting – and maybe a little uncomfortable.
Short-term: contraction
We’ll see layoffs, hiring freezes, and the quiet death of AI startups that had no real plan beyond “build something with ChatGPT.” The loudest buzzwords will fall silent first.
Medium term: evolution
The survivors will be the ones who learn to use AI rather than chase it. Automation specialists. AI-literate project managers. People who connect systems and humans instead of competing with machines. This is the era of implementation, not invention. McKinsey’s 2024 report The State of AI in Business echoed this, predicting a demand surge for “AI translators” – people who bridge technical tools and human teams.
Long term: integration
Eventually, AI will fade into the background – the same way the internet did. We’ll stop calling it “AI tools” and just call them “tools.” The most valuable professionals will be the ones who pair human depth (creativity, empathy, strategy) with technical fluency.
In other words: We’ll lose a generation of “AI visionaries,” but gain a workforce of AI-empowered humans. This isn’t the end of the AI boom – it’s the end of the illusion that everyone needs to chase it blindly.
So, should we really be afraid we’ll need to compete against machines? Yes – but not in the apocalyptic “robots replace us all” way people imagined. It’s more subtle. AI isn’t taking jobs so much as it’s rewriting them mid-sentence. Whole roles are mutating before people realize it’s happening.
What this bubble reveals
Every bubble is a mirror. It shows what we wanted technology to be – and what we feared it could become. AI’s illusion was that it could replace complexity with clarity, inefficiency with perfection. But as the hype fades, we’re reminded: innovation always costs something. Sometimes it’s money. Sometimes it’s jobs. Sometimes it’s just our illusions of control.
This isn’t the end of the AI boom. It’s the end of the fantasy that progress would be linear – that we could automate the human out of it and call it efficiency.
Maybe this bubble needs to burst. So we could stop chasing magic, and start building meaning again.
In The quiet revolution: when technology magnifies our humanity I wrote about how technology mirrors our collective emotions – connection, chaos, and care. But if that was the emotional pulse of this moment, this post looks at its financial heartbeat – the rhythm (and risks) of endless growth.