Is the AI Bubble About to Burst? The Shocking Reason Half Its Execs Fled After a $2 Billion Investment #AITrends #Bitcoin #Entrepreneur
Is the AI Bubble About to Burst? The Shocking Reason Half Its Execs Fled After a $2 Billion Investment #AITrends #Bitcoin #Entrepreneur
Right now, all eyes are on the 'Davos Forum.' Davos used to be a place for sober discussions on topics like climate change and poverty, right? But this year, the atmosphere is completely different. It has turned into a giant tech octagon.
Big tech CEOs like Elon Musk, Jensen Huang, and Satya Nadella all gathered in one place, but far from exchanging pleasantries, they engaged in a verbal slugfest that was just short of a physical brawl. On the surface, they talked about a rosy future for AI, but underneath lay a battle to protect their own interests and a palpable fear of a potential bubble burst.
A particular highlight was when Anthropic's CEO, Dario Amodei, openly took a shot at Nvidia. Keep in mind, Anthropic is a key customer that buys a massive amount of Nvidia's GPUs, right? Yet, Amodei had this to say about Nvidia selling chips to China:
"An AI data center is like a country full of geniuses. Exporting those chips is like handing over that entire nation of geniuses to China and giving them control."
He lambasted them, touching on issues that went beyond technology to international politics and trade.
And what about Microsoft's Satya Nadella? He revealed his true colors by calling data centers 'token factories.' "Folks, if more people don't use AI, this will all turn into a bubble, and we're all going down together," he said, in a statement that sounded almost like he was begging for users. He framed it as a warning against AI being concentrated in a few wealthy nations, but it reeked of a desperate plea: "Please use our services more."
Nvidia's Jensen Huang was no different. "We're not investing enough yet. We need to pour in more money to keep this industry running," he cried out. On the surface, he talks about creating jobs, but underneath lies the anxiety that they need to grow the market before the bubble bursts.
What does all this mean? It's proof that the AI market is intensely competitive and, at the same time, built on a foundation of instability, with no one knowing when it might all come crashing down.
But this cutthroat atmosphere isn't just confined to Davos. According to a Korean article I referenced, the Korean business world is on high alert. An analysis of the New Year's address keywords from Korea's top 10 conglomerates revealed the most frequent word. What do you think it was? Yes, it was AI. A keyword that was outside the top 10 last year skyrocketed to first place this year, mentioned a total of 44 times. SK has declared it will create new business models with AI, and Samsung Electronics is also championing AX (AI Transformation) innovation.
Now, this is where we need to be level-headed. Behind the brawl at Davos and the desperate declarations from Korean giants, there lies one fundamental question:
"Who is actually trying to make real money?"
"And who can actually make it?"
AI startups are sprouting up everywhere. Legendary developers are starting companies, and billions in investment funds are pouring in. But when you look under the hood, it's often hard to tell if they're trying to build a real business or just have fun with research using investor money.
So today, I've brought a very interesting analytical framework: the 5-Level Scale of AI Ambition. Proposed by TechCrunch, this scale will help you distinguish the real players from the pretenders in the market. Investors and those preparing to work in the AI industry, you'll want to listen very carefully from this point on.
First, let me explain what these five levels are. They're not based on how much money a company is actually making, but on the strength of its ambition to make money.
Level 5 is the "We're already raking in huge sums of money daily, thank you" stage. Giants like OpenAI, Google, and Anthropic belong here. They already dominate the market and have solid, working revenue models.
Level 4 is the "We have a very specific, step-by-step plan to become the richest on Earth" stage. These are the companies that aren't quite raking it in like Level 5 yet, but are sprinting forward with a clear business roadmap.
Level 3 is the "Our idea is really great, but we'll figure out how to make money... eventually, right?" stage. The technology is good, but the picture of how to monetize it is still blurry, and while they have lots of product ideas, the release dates are TBD.
Level 2 is the "We at least have the outline of something that could be called a plan" stage. They're still in their infancy or more focused on the technology itself than the business.
Finally, Level 1 is the "True wealth is loving oneself" stage. Absurd, right? These are the pure academics whose goal is research itself, not making money. Investors basically tell them, "Okay, you just do the research, we'll provide the cash." But what's scary about them is that they have the potential to jump to Level 5 at any moment.
Alright, now let's use this scale to dissect four of the hottest AI labs right now with brutal honesty. These are the companies that are the talk of Silicon Valley.
First up is Humans&. They've received a lot of attention recently. Their vision is to create communication and collaboration tools that go beyond simple computation, using next-generation AI models. They say they'll build post-software to replace tools like Slack or Google Docs.
The problem is, despite all the media praise, it's completely unclear how they plan to make money. They say they'll build a product, but they're cagey about what exactly they'll sell. It's a classic Level 3 company: they say, "We're going to do something amazing," but have no visible business model. The tech is interesting, but it's the kind of company that makes investors scratch their heads.
Second is Thinking Machines Lab. Expectations were high for this one, as it was founded by Mira Murati, the former CTO of OpenAI. After all, Murati was a core figure at OpenAI. So until early 2026, everyone saw them as a Level 4 company with a solid roadmap. They even received a whopping $2 billion seed investment, which is over 2 trillion won.
But then something shocking happened in the last two weeks. Co-founder and CTO Barrett Zoph resigned, and five other key personnel followed him out the door. In just one year since its founding, half of the executive team is gone. The departing members said they were "concerned about the company's direction." What does this mean? It means they pretended to be Level 4 on the outside, but a look inside revealed nothing more than a flimsy, Level 2 or 3 plan. They essentially left saying, "We thought we were joining a world-class lab, but it turns out there's no plan?" This is a very dangerous signal to the market.
Third, the surprise hero: World Labs. This company was founded by the godmother of AI research, Professor Fei-Fei Li. Being founded by a titan of academia, everyone thought, "Oh, that must be a research lab run by professors. They'll be a Level 2 at best." Even when they received $230 million in funding, people were skeptical.
But boy, were they wrong. In just one year, they showed a completely different side. They didn't just stop at research; they commercialized a world-generating model for creating 3D spaces and released it as an actual product. Real demand is now exploding from the gaming and special effects industries. They've achieved something other major labs haven't yet. We thought she was an academic, but it turns out she's a true entrepreneur. World Labs is now a solid Level 4, and perhaps the strongest candidate to enter Level 5 soon.
Finally, we have Safe Superintelligence (SSI). This is the company founded by OpenAI's former chief scientist, Ilya Sutskever. Just look at the name: Safe Superintelligence. Doesn't exactly scream 'profit,' does it? They even turned down an acquisition offer from Meta and have no product launch plans, stating they will focus solely on superintelligence research. And yet, they've pulled in $3 billion in funding, nearly 4 trillion won. This is a classic Level 1.
But don't let your guard down. In a recent interview, Ilya Sutskever hinted that they "might change direction if the research takes longer than expected, or if a very powerful AI could have a major impact on the world." The AI world moves incredibly fast. This means that, depending on their research breakthroughs, a pure research institute could transform into a commercialization monster overnight.
So, why did I go through all of this?
The AI market right now is pure chaos. At the Davos Forum, big tech CEOs are practically grabbing each other by the collar, shouting, "Give us your money before the bubble bursts!" Korean conglomerates are chanting 'AI' for their very survival, and startups are walking a dangerous tightrope between ambition and reality.
If you're an investor, or someone who wants to work in this industry, you need to be able to see these levels. Don't be fooled by the dazzling investment figures or the big names of the founders.
You must distinguish who has a real business model, who is all flash and no substance, and who is sharpening their knives for the future.
Bubbles always burst eventually. What Satya Nadella said at Davos—"If you guys don't use more, we're all going down"—was not an empty statement. When the current hype cools down, only the Level 4 and 5 companies that are ready to make real money will survive. The rest will vanish into history.
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Originally published on YouTube: 2/25/2026