Anthropic vs. Nvidia? The Real Story Behind Big Tech CEOs Clashing at Davos #aitrends #bitcoin #entrepreneur
Anthropic vs. Nvidia? The Real Story Behind Big Tech CEOs Clashing at Davos #aitrends #bitcoin #entrepreneur
Right now, all eyes are on the 'Davos Forum'. The Davos Forum used to be a place for civilized discussions on topics like climate change and poverty, right? 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 all gathered in one place, and instead of exchanging pleasantries, they engaged in a war of words that was just short of an all-out brawl. On the surface, they talked about the rosy future of AI, but underneath, it was all about protecting their own interests, and a deep-seated fear of a potential bubble burst.
The moment Anthropic's CEO, Dario Amodei, openly took a shot at Nvidia was particularly stunning. After all, Anthropic is 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 nation full of geniuses. Exporting chips is like handing over that entire nation of geniuses to China and giving them control."
He blasted, touching on issues of international politics and trade that go far beyond just technology.
And what about Microsoft's Satya Nadella? He revealed his blatant intentions by 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 sounded almost like begging for users. He packaged it as a warning against AI being concentrated in certain wealthy nations, but in the end, 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 going," he cried out. On the surface, he talks about creating jobs, but underneath lies the anxiety that they need to expand the game 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 collapse at any moment.
But this cutthroat atmosphere isn't just limited to Davos. According to a Korean article I referenced, the Korean business world is also on high alert. An analysis of the New Year's address keywords from Korea's top 10 conglomerates revealed the most frequently used word. Guess what it was? That's right, it was AI. A keyword that wasn't even in the top 10 last year was mentioned a total of 44 times this year, skyrocketing to first place. SK has declared it will create new business models with AI, and Samsung Electronics is also championing 'AX innovation'.
Now, this is where we need to be level-headed. The brawl at Davos, the desperate declarations from Korean chaebols. Behind all these phenomena lies one fundamental question.
"Who is actually trying to make real money?"
"And who can actually make real money?"
Right now, AI startups are popping up left and right. Legendary developers are starting companies, and billions in funding are pouring in. But when you look under the hood, it's often hard to tell if they're actually trying to build a business or just want to do interesting research with investor money.
That's why today, I've brought a very interesting analytical framework. It's the 5-Level AI Ambition Scale, a way to measure the ambitions of current AI companies. Using this scale, proposed by TechCrunch, I'll help you distinguish the real players from the fake ones in today's market. Investors and those preparing to enter the AI industry, you'll want to listen up carefully from this point on.
First, let me explain what these five levels are. This scale isn't based on how much money they're actually making, but on how strong their intention to make money is.
Level 5 is the "We're already raking in tens of millions of dollars 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 Earth" stage. They're not raking in money like Level 5 yet, but they have a clear business roadmap and are sprinting towards it like mad.
Level 3 is the "Our idea is really good, we'll make money someday, right?" stage. The technology is good, but the 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. They're still in the crawling phase, focusing more 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. These are the places where investors say, "Okay, 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.
Alright, then. Let's use this scale to dissect four of the hottest AI labs right now, in excruciating detail. These are the hottest topics in Silicon Valley recently.
First up is Humans&. They've received a lot of attention lately. Their vision is to create communication and collaboration tools that go beyond simple computation, using next-gen AI models. They say they're going to build 'post-software' to replace tools like Slack and 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 exactly they're going to sell. They just say, "We're going to do something amazing," but have no visible business model. A classic Level 3 company. The technology is interesting, but from an investor's perspective, it's a head-scratcher.
Second is Thinking Machines Lab. Expectations were high for this one, as it was founded by Mira Murati, the former CTO of OpenAI. Who is Mira Murati? She was a core figure at OpenAI. So, until early 2026, everyone saw them as a Level 4 company—one with a solid roadmap. After all, they received a seed investment of a whopping 2 billion dollars, which is over 2 trillion won.
But something shocking happened in the last two weeks. Co-founder and CTO Barrett Zoph left, and five other 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 essentially left saying, "We thought we were joining a world-class lab, but it turns out there's no plan." This sends a very dangerous signal to the market.
Third, the protagonist of a surprising twist, World Labs. This company was founded by Professor Fei-Fei Li, the godmother of AI research. Since it was founded by an academic giant, 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 accomplished something that other major labs haven't managed 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 is the strongest candidate to enter Level 5 soon.
Finally, we have Safe Superintelligence (SSI). This is the company founded by Ilya Sutskever, OpenAI's former chief scientist. Just look at the name: Safe Superintelligence. Doesn't smell like money at all, does it? They've rejected acquisition offers from Meta and have no plans to release a product, stating they will focus solely on superintelligence research. And yet, they've pulled in $3 billion in funding, nearly 4 trillion won. 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 can make an impact on the world, we might pivot." Because the world of AI moves so fast. This means that depending on their research breakthroughs, this pure research institute could turn into a commercial monster overnight.
So, why did I tell you this long story?
The AI market right now is pure chaos. At the Davos Forum, Big Tech CEOs are at each other's throats, 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 have to distinguish who has a real business model, who's 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—"If you don't use it more, we're toast"—wasn't just an empty threat. 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 disappear into history.
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Originally published on YouTube: 2/24/2026