Who's Real and Who's a Fraud? The 5-Level Rule for Spotting Fake AI Startups #AITrends #Bitcoin #Entrepreneur
Who's Real and Who's a Fraud? The 5-Level Rule for Spotting Fake AI Startups #AITrends #Bitcoin #Entrepreneur
Right now, all eyes are on the 'Davos Forum.' Davos used to be a place for staid discussions about things 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 gathered in one place, and instead of exchanging pleasantries, they engaged in a verbal brawl that was just short of a physical fight. On the surface, they talked about the rosy future of AI, but beneath it all lay a scramble to protect their own turf and a palpable fear of a potential bubble bursting.
The most telling moment was when Anthropic CEO Dario Amodei openly took a shot at NVIDIA. Isn't Anthropic a key customer that buys an enormous amount of NVIDIA's GPUs? Despite this, Amodei had this to say about NVIDIA selling chips to China:
"An AI data center is like a country full of geniuses. But exporting chips is like handing over that entire country 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 raw intentions by calling data centers "token factories." "Folks, if more people don't start using AI, this whole thing will become a bubble and we'll all go down together," he said, in a statement that sounded almost like begging for users. He framed it as a warning against AI being concentrated in certain wealthy nations, but in the end, it reeked of desperation: "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 going," he cried out. Ostensibly, he's talking about creating jobs, but the underlying sentiment is an anxiety to expand the market before the bubble pops.
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 that could crumble at any moment.
But this cutthroat atmosphere isn't confined to Davos. According to a domestic article I referenced, the Korean business world is also on high alert. An analysis of the New Year's addresses from Korea's top 10 conglomerates revealed the most frequently used keyword this year. What was it? Yes, it was AI. A keyword that was outside the top 10 last year skyrocketed to first place, mentioned a total of 44 times. SK Group declared it would build new business models with AI, and Samsung Electronics is championing its own AX (AI Experience) innovation.
Now, this is where we need to be level-headed. Behind the brawls at Davos and the desperate declarations from Korean corporations, there lies one fundamental question.
"Who is actually trying to make real money?"
"And who can actually make real 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 are trying to build a real business or just do interesting research with investor money.
So today, I've brought a fascinating analytical framework. It's the 5-Level AI Ambition Scale, which measures the ambition of current AI companies. Using this scale, proposed by TechCrunch, I will help you distinguish the real players from the fakes in today's market. Investors and those of you preparing to enter the AI industry, you'll want to listen closely.
First, let me explain these five levels. They're not based on how much money is actually being made, but on the strength of the intention to make money.
Level 5 is the "We're already raking in tens of millions every day, thank you" stage. Giants like OpenAI, Google, and Anthropic belong here. They already dominate the market and have solid, functioning revenue models.
Level 4 is the "We have a very specific, step-by-step plan to become the richest people on the planet" stage. They may not be raking in money like Level 5 yet, but they have a clear business roadmap and are sprinting towards it like crazy.
Level 3 is the "Our idea is really good, but we'll figure out how to make money someday, right?" stage. The technology is good, but the specific picture of how to monetize it is still blurry. They have many product ideas, but the release dates are TBD.
Level 2 is the "We have, at least, the outline of a plan" stage. This is the toddler stage, or a phase where the focus is more on the technology itself than the business.
Finally, Level 1 is the "True wealth is loving yourself" stage. Sounds absurd, right? These are the pure academics, whose goal is the research itself rather than making money. Even investors tell them, "Go ahead, you just do the research, we'll provide the money." But what's scary about them is their potential to jump to Level 5 at any moment.
Now, let's use this scale to dissect four of the hottest AI labs right now, the ones creating the most buzz in Silicon Valley lately.
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 with next-gen AI models. They claim they will build the post-software that replaces 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 are coy about what exactly they will sell. They are a classic Level 3 company, saying "We're going to do something amazing" without a visible business model. Their tech is interesting, but from an investor's perspective, they make you scratch your head.
Second is Thinking Machines Lab. This place had high expectations 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 them as a Level 4 company with a solid roadmap. After all, they received a seed investment of over $2 billion.
But something shocking happened in the last two weeks. Co-founder and CTO Barrett Zoph left, and five key personnel followed him out the door. Half of the executive team was gone within a year of its founding. 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 Level 2 or 3 plan. 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 comeback kid: 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's probably 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 been able to do yet. We thought she was a scholar, but it turns out she's a real 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. It doesn't smell like money at all, does it? They rejected an acquisition offer from Meta and have no product launch plans, stating they will focus solely on superintelligence research. And yet, they've raised nearly $3 billion in funding. A classic Level 1.
But don't let your guard down. In a recent interview, Ilya Sutskever hinted, "If the research takes longer than expected, or if a very powerful AI can have a major impact on the world, we might change direction." The AI world moves incredibly fast. This means that, depending on research outcomes, a pure research institute could transform 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, screaming *"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 investment figures or the founder's brand name.
You must be able to 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. Satya Nadella's words at Davos, "If you guys don't use it more, we're toast," were not an empty threat. When the current frenzy cools down, only the Level 4 and 5 companies that are ready to make real money will survive. The rest will fade into history.
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Originally published on YouTube: 2/26/2026