Transcript
Courtney Reagan (0:00)
Learn how to use AI to be more successful with CNBC make it's new online course.
Melissa Lee (0:05)
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Go to CNBC, make it.com AI and register now.
Tim Seymour (0:16)
Live from the NASDAQ markets in the heart of New York City's Times Square. This is fast money. Here's what's on tap tonight. AI in retreat. Claims of a cheaper, more powerful chat bought out of China sending big tech sinking and Nvidia to its worst day since the start of the pandemic. Are the concerns overdone or is the US In a trade? Is the US Trade in real danger? And out of energy, the once red hot nuclear energy stocks getting crushed on that same news today. Mr. Energy now negative for the year. Can the sector rebound? We'll debate that too. Plus a couple of market bright spots in today's sea of red. An activist investor tells US Steel to go it alone. And we count down to the first Fed meeting of the year, how the central bank is digesting all of this data, all the market moves and everything else that we're working our way through. I'm Courtney Reagan in this evening from Melissa Lee coming to you from Studio B at the nasdaq. On the desk tonight we have Tim Seymour, Carter Worth, Steve Grasso and Mike Ko. But we are going to start with the AI apocalypse. Maybe question mark. China's deep seek ravaging names like Nvidia, Broadcom, AMD, Palantir, Microsoft after its R1 reasoning model reportedly outperformed OpenAI and costs less than $6 million. Yes, million with an M to design now in video losing nearly $600 billion in market cap just today. That's the largest single day loss in dollar terms ever. That's more than the total valuation of names like MasterCard, UnitedHealth and Exxon Mobil. The nearly 17% drop in flagship AI stock was its worst day since 3-20-20 and sent it below its 200 day moving average for for the first time in over two years. The move in big Tech dragging the broader markets down with it. The Nasdaq seeing its worst day since December 18th. The S&P down percent and a half. Remarkably, the Dow managing to end the day in the green. Our Deirdre Bosa joins us now for more on how a company few people had heard of before today and I'm still trying to make sure I don't say wrong could have such a big impact on the market and how much merit there is to these claims. We all spent a lot of time this weekend and most of today trying to think it through, tell us what we've learned.
Deirdre Bosa (2:32)
Okay, so Apocalypse. Not so sure about that. But without a doubt this is a monumental shift in AI. What's real is its performance. We don't have to trust Deep Seek or the Chinese on that. This is an open source model so we can see inside of it and compare it using third party benchmarks. It is just as impressive as people say it is. Not only was it cheaper and quicker to build, but it's also cheaper and more efficient to run. So developers are adopting it en masse as well as American consumers pushing it to the top of the app store charts and dethroning chat GPT. Now it hit the markets hard today because it raises a ton of questions about the way American AI has developed OpenAI, Anthropic, Google, etc. Have raised and spent billions of dollars to create ever bigger and better models. Demand for Nvidia GPUs was insatiable. But late last year, and this really started before Deep Seek. Late last year, model advancements stalled at a new race, took off in reasoning or the inference phase. And that was deep seats opening to essentially jump to the frontier and build off what those American companies already achieved. And this is key. It open sourced it. Now it's not just Deep Sea creating competitive models at a fraction of the price. You've got bytedance releasing one last week. Berkeley researchers, they did something similar for $450 in 19 hours. So whether Deep Sea did it for $6 million or $60 million, that is now besides the point. It's called distillation. The most advanced models on the market right now, they don't need hundreds of millions of dollars in GPUs and infrastructure. And that is a massive paradigm shift for the trade as we've known it. Why the sell off today affected everything from chips to energy to mega caps. Now the saving grace for the bulls though, and what I hear from my network in Silicon Valley is that it's highly unlikely that American AI players are going to scale back their spend those billions of billions of dollars. The race only got that much more important and the pressure to stay ahead has intensified in the American companies. They're going to continue to throw money at this because it's existential for them.
