The Chilling Truth About the $2B AI Startup (And How to Spot the Fakes) #aitrends #bitcoin #entrepreneur
The Chilling Truth About the $2B AI Startup (And How to Spot the Fakes) #aitrends #bitcoin #entrepreneur
Right now, all eyes are on the 'Davos Forum'. The Davos Forum used to be a place for genteel discussions on topics like climate change or poverty, didn't it? But this year, the atmosphere is completely different. It's basically turned into a giant tech octagon.
Big tech CEOs like Elon Musk, Jensen Huang, and Satya Nadella gathered in one place, but instead of exchanging pleasantries, they engaged in a war of words that was just short of a physical brawl. On the surface, they talked about the rosy future of AI, but underneath, there was a palpable fear—a scramble to protect their own interests and anxiety about a potential bubble burst.
The highlight was when Anthropic's CEO, Dario Amodei, openly took a shot at Nvidia. Anthropic is, in fact, a key customer that buys a massive number of GPUs from Nvidia, right? Despite this, Amodei had this to say about Nvidia selling chips to China.
"An AI data center is like a country full of geniuses. Exporting chips is like handing over that entire nation of geniuses to China and giving them control."
He unleashed a fierce criticism, touching not just on technology but also on international politics and trade issues.
And what about Microsoft's Satya Nadella? He revealed his candid thoughts, calling data centers 'token factories'. "Folks, if more people don't start using AI, this will all become a bubble and we'll all go down together," he said, in a statement that was almost like begging for users. He framed it as a warning against AI being concentrated in certain wealthy nations, but ultimately, it reeked of a desperate plea: "Please use our services more."
Nvidia's Jensen Huang was no different. "We're still not investing enough. We need to pour in more money to keep this industry going," he cried out. On the surface, he talks about creating jobs, but underneath lies the anxiety that they need to grow the pie bigger before the bubble bursts.
What does all this mean? It's proof that the AI market is incredibly competitive and, at the same time, built on a foundation of instability that could shatter at any moment.
But this cutthroat atmosphere isn't just confined to Davos. According to a domestic article I referenced, the Korean business world is also on high alert. When I analyzed the keywords from the New Year's addresses of Korea's top 10 conglomerates, what do you think was the most frequent word? Yes, it was AI. A keyword that was outside the top 10 last year shot up 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. The brawl at Davos, the desperate declarations from Korean conglomerates— behind all these phenomena lies one fundamental question.
"Who is actually trying to make money?"
"And who can actually make money?"
AI startups are popping up like mushrooms after rain. Legendary developers are starting companies, and trillions of won in investment are pouring in. But when you look under the hood, it's often impossible to tell if they're trying to build a real business or just doing interesting research with investor money.
So today, I've brought a very interesting framework: the 5-Level AI Ambition Scale, which measures the ambition of current AI companies. Using this scale proposed by TechCrunch, I'll help you distinguish the real players from the fakes in the market. Investors and those preparing to work in the AI industry, you'll want to listen closely from this point on.
First, let me explain what these 5 levels are. They're not based on how much money is actually being made, but on how strong the ambition to make money is.
Level 5 is the "We're already raking in tens of millions of dollars daily, thank you" stage. Giants like OpenAI, Google, and Anthropic belong here. They already dominate the market and have a solid, functioning revenue model.
Level 4 is the "We have a very specific, step-by-step plan to become the richest on Earth" stage. They may not be raking in as much as Level 5 yet, but they're sprinting like mad with a clear business roadmap.
Level 3 is the "Our idea is really great, we'll probably make money someday, right?" stage. The technology is good, but the specific picture of how to monetize it is still blurry, and while they have many product ideas, the release dates are TBD.
Level 2 is the "We at least have the rough outline of a plan" stage. It's for companies still in their infancy or more focused on the technology itself than on 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 rather than making money. Investors also tell them, "Sure, you just focus on research, we'll provide the money." But what's scary about them is their potential to jump to Level 5 at any moment.
Alright, then. Let's use this scale to dissect four of the hottest AI labs right now. These are the talk of the town in Silicon Valley recently.
First up is Humans&. They've been getting a lot of attention lately. Their vision is to use next-gen AI models to create tools for communication and collaboration that go beyond simple computation. They say they're building 'post-software' to replace Slack or Google Docs.
The problem is, despite the media praise, it's completely unclear how they plan to make money. They say they'll build a product, but they're tight-lipped about what they'll actually sell. This is a classic Level 3 company. The technology is intriguing, but from an investor's perspective, it makes you scratch your head.
Second is Thinking Machines Lab. Expectations were high for this one, as it was founded by Mira Murati, the former CTO of ChatGPT. Who is Mira Murati? She was a core figure at OpenAI. So until early 2026, everyone saw it as a Level 4 company—one with a solid roadmap. After all, they received a staggering seed investment of $2 billion, which is over 2 trillion won.
But something shocking happened in the last two weeks. Co-founder and CTO Barrett Zoph left, and five key employees followed him out the door. Within a year of its founding, half of the executive team was gone. The departing employees said they were "concerned about the company's direction." What does this mean? It means that while they pretended to be Level 4 on the outside, a look inside revealed they only had a flimsy plan at the Level 2 or 3 stage. They left thinking, "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 protagonist of a surprising twist, is World Labs. This company was founded by the godmother of AI research, Professor Fei-Fei Li. Since it was founded by a giant of academia, everyone thought, "Oh, that must be a research lab run by professors. It'll be a Level 2 at best." Even when they received $230 million in funding, people were skeptical.
But what a surprise! In just one year, they showed a completely different side. They didn't just stop at research; they commercialized a world-generating model that creates 3D spaces and released it as an actual product. Real demand is exploding from the gaming and special effects industries. They achieved something that other major labs haven't yet. We thought they were scholars, but they turned out to be real entrepreneurs. World Labs is now a definite Level 4, and perhaps the strongest candidate to enter Level 5 soon.
Finally, we have Safe Superintelligence (SSI). This is the company founded by Ilya Sutskever, former Chief Scientist at OpenAI. Just look at the name: Safe Superintelligence. Doesn't exactly smell like money, does it? They rejected an acquisition offer from Meta and have no plans to release a product, stating they will focus solely on superintelligence research. And yet, they pulled in nearly $3 billion, almost 4 trillion won, in funding. This is a classic Level 1.
But we shouldn't let our guard down. In a recent interview, Ilya Sutskever hinted, "If the research takes longer than expected, or if a very powerful AI could have a major impact on the world, we might pivot." The AI world moves so fast, after all. It means that depending on their research results, a pure research institute could turn into a commercial monster overnight.
So, why have I told you this long story?
The AI market right now is pure chaos. At the Davos Forum, big tech CEOs are grabbing each other by the collar, shouting "Give us the money before the bubble bursts!" Korean conglomerates are chanting 'AI' for their 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 flashy funding amounts or the big names of the founders.
You must distinguish who has a real business model, who is all sizzle and no steak, and who is sharpening their knives for the future.
The bubble will burst someday. What Satya Nadella said at Davos—"Folks, if you don't use it more, we're doomed"—wasn't just an empty threat. When the current hype cools down, only the Level 4 and 5 companies that are truly ready to make money will survive. The rest will fade into history.
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Originally published on YouTube: 2/23/2026