šŸ˜° Nvidia Crashes 17% - Meta, Tesla, and Microsoft Report Earnings

Is the panic over DeepSeek overblown?

TOP STORY
šŸ˜° Nvidia Crashes 17% - Meta, Tesla, and Microsoft Report Earnings

šŸ¤Æ This week has already been jam-packed with major stock market news - from Nvidiaā€™s crash on Monday (due to the launch of DeepSeek), the Fedā€™s interest rates announcements yesterday, and Microsoft, Tesla, and Metaā€™s earnings reports last night.

šŸ So while this is the ā€˜Weeklyā€™ Buzz, Iā€™ve decided to write two editions this week to keep you updated on everything that's going on.

šŸ” Today weā€™ll focus on Nvidia, Microsoft, Meta and Tesla, and Sunday weā€™ll deep-dive into Apple (plus any other crazy news that happens between now and then).

šŸŽÆ But first off, hereā€™s how these stocks have performed so far this week (as of market open this morning):

šŸ¤æ Letā€™s dive into whatā€™s going on with these 4 popular tech stocksā€¦

šŸ¦ Touching quickly on the Fed - the Fed announced yesterday it will keep interest rates at the same level. While this is the first meeting without a cut since July, it was widely anticipated by the market so didnā€™t come as a huge surprise. If you want to dive deeper, check out Forbesā€™ coverage here.

šŸ“‰ Nvidia Down 14% This Week After DeepSeek Panics the Market

šŸ“‰ Youā€™ve probably seen the headlines already - Nvidia crashed 17% on Monday, setting the record for the worst single-day market cap drop in stock market history (falling $589 billion, more than double the previous record on Sep 3, 2024 which was also held by Nvidia).

šŸŽ¢ On Tuesday it made a +9% comeback as investors rushed to buy the dip, but fell another -5% yesterday. Other major AI players have also gotten hit:

šŸ‡ØšŸ‡³ The reason for all this chaos? DeepSeek, a Chinese competitor to OpenAI, released R1, a free AI model that it claims beats OpenAIā€™s $200/month o1 reasoning model on certain benchmarks.

šŸ’° But it wasnā€™t the claim that the model was better that shocked investors - it was the cost. DeepSeek said it spent just $5.6 million training the model - challenging the common knowledge that it costs billions (and a whole lot of expensive Nvidia GPUs) to make a model that good.

šŸ¤‘ For the past few years itā€™s been taken for granted that the AI revolution will cost billions, with the lions share of it going to Nvidia - and the spending was only accelerating. Just last week Trump announced Project Stargate, a $500B investment plan to build US AI infrastructure. 

ā‰ļø But DeepSeek has called into question whether all that money is really necessary. If itā€™s not, it could mean very bad news for Nvidia, whose valuation needs the endless AI money train to continue:

ā

ā€œThe concern for AI is whether the DeepSeek LLM approach causes a slowdown in hyperscaler AI capital expenditure.ā€

HSBC Analyst Frank Lee

šŸ›°ļø The impact this has had on the market has been massive, with many headlines calling it AIā€™s ā€˜Sputnik momentā€™ (referring to when the Soviets launched the worldā€™s first satellite, blowing past the US in the space race):

ā

ā€œThis is causing an existential crisis in the U.S. stock market. DeepSeek is a clear reminder that U.S. AI dominance cannot be taken for grantedā€

Kathleen Brooks, Research Director XTB-12

šŸ‘€ Now before you go and sell all your AI stocks, many experts are saying the concerns are being widely overblown... so letsā€™s dive deeper into just how big a threat DeepSeek really is to Nvidiaā€™s crownā€¦ šŸ‘‘

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TOP STORY CONTINUED
šŸ‘€ Just How Big of a Threat is DeepSeek to Nvidia?

šŸ¤” Thereā€™s been a ton of debate swirling around as to how much of a threat DeepSeek really is. The biggest point of contention? The claim that DeepSeek built the model for only $5.6 million.

ā

ā€œIt is categorically false that China duplicated OpenAI for $5 millionā€. ā€œThe figure is ā€˜deeply misleadingā€™ā€

Bernstein Analyst Stacy Rasgon and Technology Fund Manager Gavin Baker

šŸ’°The reason many are saying itā€™s misleading is the $6M figure thatā€™s been widely reported is just the cloud costs of the modelā€™s final training run and excludes costs related to ā€œprior research and ablation experiments on architectures, algorithms, or data.ā€

šŸ¤– Scale AI CEO Alexandr Wang told CNBC that he estimates DeepSeek used roughly 50,000 Nvidia H100 chips to build the model (which would cost over $1B) but says they didnā€™t disclose this because it would violate US export controls.

šŸ‡ØšŸ‡³ China also announced last week it would spend $137 billion on AI over the next few years - further evidence that the technology might not be as cheap to produce as DeepSeek claimed.

šŸšØ But while the $6M figure is being misrepresented, worries that DeepSeekā€™s breakthroughs might reduce training costs arenā€™t completely misguided - the modelā€™s new techniques are reportedly extremely efficient at ā€˜inferencing,ā€™ apparently reducing inference costs by 90%.

šŸ’” But just because AI is cheaper doesnā€™t necessarily mean there will be less demand for Nvidia GPUs. In response to the fears - Microsoft CEO Satya Nadella referenced an interesting principle in economics: The Jevons Paradox, which shows that as production becomes more efficient, consumption actually increases as additional use cases become economical and are discovered:

ā

ā€œAs AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just canā€™t get enough ofā€

Microsoft CEO Satya Nadella

The former CEO of Intel Pat Gelsinger shared a similar sentiment:

ā

ā€œComputing obeys the gas law. Making it dramatically cheaper will expand the market for it. The markets are getting it wrong, this will make AI much more broadly deployed.ā€

Former Intel CEO Pat Gelsinger

šŸ’” My Thoughts + Analyst and Blossom Reactions

šŸ‘Øā€šŸŽ“ Fun fact about me, I graduated with an honours degree in economics, so these arguments are right up my alley, and frankly, I find them very compelling.

šŸ¤” When I started writing this edition of the Buzz, the headlines (and what Iā€™d seen on social media) seemed very concerning, but after deeper research, I do feel that the market seems to be overreacting to the headlines and getting swept up in fear.

šŸ‘ Analysts seem to agree, with most Wall Street Analysts saying the selloff is an overreaction and Bank of America analysts telling clients they ā€œview the recent selloff as an enhanced buy opportunity.ā€

āœØ The Blossom community is also largely optimistic, with 3,314 buys compared to only 760 sells.

šŸ† Nvidia ranks as the #1 Most Visited and #1 Most Mentioned stock this week on Blossom and I highly reccommend you check out some of the great posts and discussions to see what other folks are saying (which you can find on the $NVDA stock page). One post in particular I want to call out was on the importance of not just ā€˜blindly buying the dipā€™:

ā€œToo many posts of either ā€˜buying a dipā€™ or ā€˜itā€™s all redā€™ are inherently wrong and bad advice. Like always, if youā€™re buying an index zoom our AND do your own researchā€¦ What were you planning? Did you want to buy this week anyways? Or are you just following a trend?

See full post here

@ronan on Blossom

EARNINGS WEEK
šŸ“Š Microsoft, Meta, and Tesla Report Earnings

šŸ—žļø The Nvidia/DeepSeek saga wasnā€™t the only big news this week - 3 of the Magnificent 7 (the seven largest tech stocks in the US) also reported earnings last night - hereā€™s the rundown.

šŸ“‰ Microsoft Falls 5.6% As Investors Push for a Clearer Roadmap for Returns on AI Investment

  • āœ… Earnings per share: $3.11, 4% higher than expected

  • āœ… Revenue: $69.63B, 12% higher than expected

šŸ’” Key Takeaways

  • While this quarterā€™s earnings and revenue beat expectations, Microsoftā€™s $67.7B forecast for next quarter is 3% weaker than expected

  • AI-driven Azure growth fell 3% short of expectations diven by ā€˜execution challengesā€™ and ā€˜capacity constraintsā€™

  • Investors are starting to push for a ā€˜clear roadmap to monetization for all the capital thatā€™s been invested,ā€™ putting more pressure on Microsoft to show results for the billions its investing into AI

  • Microsoft CEO Satya Nadella emphasized cost optimizations, saying costs were coming down as models were showing 10x better performance

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ā€œAs AI becomes more efficient and accessible, we will see exponentially more demandā€

Microsoft CEO Satya Nadella

šŸ“ˆ Meta Up 2.8% After Smashing Past Earnings Estimates and Reiterating AI Conviction

  • āœ… Earnings per share: $8.02, 18% higher than expected

  • āœ… Revenue: $43.39B, 3% higher than expected

šŸ’” Key Takeaways

  • CEO Mark Zuckerburg reiterated plans to invest $65B into AI infrastructure, saying its AI assistant is ā€˜going to be one of the most transformative products weā€™ve ever madeā€™ and announcing that it has surpassed 700 million monthly active users

  • Zuck also said 2025 will be the year the company ā€˜redefines its relationship with governmentsā€™

  • Ad impressions were up 6% and average price per ad was up 14% as analysts expects AI-driven advertising will provide a 2025 boost

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ā€œDeepSeekā€™s ā€œhas only strengthened our conviction that [AI] is the right thing for us to be focused on.ā€

Meta CEO Mark Zuckerburg

šŸ“ˆ Tesla Up 3.7% Despite Big Miss on Earnings and Revenue As Elon Gives Timeline for Full Self-Driving

  • āŒ Earnings per share: $0.73, 4% less than expected

  • āŒ Revenue: $25.71B, 6% less than expected

šŸ’” Key Takeaways

  • Automotive revenue fell 8% to $19.8B, and operating income declined 23% year over year driven by itā€™s Q4 delivery miss (which we covered a few weeks ago)

  • Elon Musk said paid, unsupervised full self-driving is coming to Austin, Texas in June

  • Elon did not reiterate the 20-30% sales growth goals mentioned in October but did say that Tesla 'ā€˜expects the vehicle business to return to growth in 2025ā€™

  • Teslaā€™s Energy Storage business was a shining star - reporting $3B in revenue for the quarter, up 113% from last year

Thank you for reading to the end! I (Max, the CEO of Blossom) write all these Weekly Buzz editions myself, and they take a LOT of time to put together so Iā€™m very grateful so many of you find them valuable (weā€™ve crossed over 60,000 weekly readers šŸ¤Æ)

As I also posted on Blossom, I want to also share a quick thank you to everyone whoā€™s given us a 5-star rating on the App Store - it helps us out a ton.

šŸ™‹ā€ā™‚ļø If you havenā€™t rated us yet and you find value from the Weekly Buzz or from the Blossom community, it would mean the world to me if you could take 1-minute and leave us a review on the App Store or Google Play šŸ„¹

Thanks again! See you soon on Sunday when there will be even more exciting stock market news to report onā€¦

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