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Cathie Wood Just Went Bargain Hunting: 2 Artificial Intelligence (AI) Chip Stocks She Just Scooped Up (Hint: Nvidia Isn’t One of Them)

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As CEO and chief investment officer of Ark Invest, Cathie Wood might be best known for her high conviction in speculative opportunities across industries such as genomics and cryptocurrency.

When it comes artificial intelligence (AI), many of Ark’s biggest positions are in volatile stocks such as Tesla and Palantir Technologies. Over the last couple of months, however, Wood has quietly been rounding out her exchange-traded funds (ETFs) with semiconductor stocks.

Let’s explore two AI chip stocks that have recently become rising stars in the Ark portfolio. Is now the time to follow Wood’s moves? Read on to find out.

1. Advanced Micro Devices

While Advanced Micro Devices (AMD -0.45%) has been part of Ark’s portfolio for quite some time, the investment firm began aggressively adding to its position throughout late April and most of May.

According to public trading data, Ark added approximately 800,000 shares of AMD between June 17 and 30. The position is spread across the Ark Autonomous Technology & Robotics ETF, Ark Next Generation Internet ETF, Ark Fintech Innovation ETF, and Ark Innovation ETF. As of this writing, AMD has now become the 11th biggest position for Ark Invest overall.

In fairness, AMD’s rise at Ark has been influenced by some pronounced share price gains in recent weeks too. Since Ark began adding to its AMD position in late April, shares have gained roughly 61%.

In my eyes, AMD’s recent gains can be tied to the company’s accelerating data center business as well as bullish anticipation for its new AI accelerators during the second half of this year.

Data by YCharts.

Nevertheless, even with such a massive move in the share price, AMD trades for roughly 36 times forward earnings. Although this isn’t exactly cheap, shares of AMD are well within their usual valuation range.

My hunch is that AMD is still being discounted by some investors, primarily due to the enormous competitive threat the company faces from Nvidia.

Considering how much momentum is fueling AMD stock right now, I think I’d sit on the sidelines for the time being. To me, the company’s long-term prospects are somewhat ambiguous so long as Nvidia remains king of the chip industry. While there is likely still good money to be made in AMD stock, there are more reasonable price points to build a position.

AI-powered chip in a GPU cluster.

Image source: Getty Images.

2. Taiwan Semiconductor Manufacturing

Ark complemented its AMD purchases with some exposure to Taiwan Semiconductor Manufacturing (TSM 0.75%) back in May. The firm doubled down on this decision by adding over 190,000 shares of TSMC throughout June.

I see TSMC as the most interesting opportunity within the broader chip landscape. Unlike Nvidia, AMD, Broadcom, or the cloud hyperscalers, TSMC doesn’t specialize in designing its own chipsets. Rather, the company offers industry-leading fabrication services that bring semiconductor designs to life.

This puts TSMC in a unique position as the company stands to benefit from rising spend in AI infrastructure over the coming years, regardless of which specific chipsets are witnessing the most demand.

Looked at another way, investors in TSMC need not overanalyze which chip company will sell the most graphics processing units (GPUs). Rather, an investment in TSMC could be viewed similarly to a call option on ongoing investment in data center infrastructure and AI chips for the long term.

TSM PE Ratio (Forward) Chart

Data by YCharts.

While TSMC has witnessed some notable valuation expansion throughout the AI revolution, the company’s forward price-to-earnings (P/E) multiple of 25 is still reasonable. Unlike AMD, I do not think rising competition is what concerns investors over a position in TSMC, though.

Rather, it’s geopolitical tensions with China that give way to uncertainty over TSMC’s growth prospects. Given the company’s ongoing investments in geographic expansion, though, I think the concerns over China are exaggerated and likely baked into the stock at this point.

As I wrote a few weeks ago, TSMC might be the best bargain in the AI market right now. Compelling secular tailwinds, combined with an industry-leading position in the fabrication market, strong institutional backing, and a reasonable valuation, make TSMC a no-brainer for long-term investors.

Adam Spatacco has positions in Nvidia, Palantir Technologies, and Tesla. The Motley Fool has positions in and recommends Advanced Micro Devices, Nvidia, Palantir Technologies, Taiwan Semiconductor Manufacturing, and Tesla. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.



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As the artificial intelligence (AI) craze drives the expansion of data center investment, leading U…

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Seeking a Breakthrough in AI Infrastructure Market such as Heywell and Genrack “Over 400 Billion KRW in Data Center Infrastructure Investment This Year”

What Microsoft Data Center looks like [Photo = MS]

As the artificial intelligence (AI) craze drives the expansion of data center investment, leading U.S. manufacturing companies are entering this market as new growth breakthroughs.

The Financial Times reported on the 6th (local time) that companies such as Generac, Gates Industrial, and Honeywell are targeting the demand for hyperscalers with special facilities such as generators and cooling equipment.

Hyperscaler is a term mainly used in the data center and cloud industry, and refers to a company that operates a large computing infrastructure designed to quickly and efficiently handle large amounts of data. Representatively, big tech companies such as Amazon, Microsoft (MS), Google, and Meta can be cited.

Generac is reportedly the largest producer of residential generators, but it has jumped into the generator market for large data centers to recover its stock price, which is down 75% from its 2021 high. It recently invested $130 million in large generator production facilities and is expanding its business into the electric vehicle charger and home battery market.

Gates, who was manufacturing parts for heavy equipment trucks, has also developed new cooling pumps and pipes for data centers over the past year. This is because Nvidia’s latest AI chip ‘Blackwell’ makes liquid cooling a prerequisite. Gates explained, “Most equipment can be relocated for data centers with a little customization.”

Honeywell, an industrial equipment giant, started to target the market with its cooling system control solution. Based on this, sales of hybrid cooling controllers have recorded double-digit growth over the past 18 months.

According to market research firm Gartner, more than $400 billion is expected to be invested in building data center infrastructure around the world this year. More than 75% of them are expected to be concentrated on hyperscalers such as Amazon, Microsoft, Meta, and Google.



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OpenAI says GPT-5 will unify breakthroughs from different models

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OpenAI has again confirmed that it will unify multiple models into one and create GPT-5, which is expected to ship sometime in the summer.

ChatGPT currently has too many capable models for different tasks. While the models are powerful, it can be confusing because all models have identical names.

But another issue is that OpenAI maintains an “o” lineup for reasoning capabilities, while the 4o and other models have multi-modality.

With GPT-5, OpenAI plans to unify the breakthrough in its lineup and deliver the best of the two worlds.

“We’re truly excited to not just make a net new great frontier model, we’re also going to unify our two series,” says Romain Huet, OpenAI’s Head of Developer Experience.

“The breakthrough of reasoning in the O-series and the breakthroughs in multi-modality in the GPT-series will be unified, and that will be GPT-5. And I really hope I’ll come back soon to tell you more about it.”

OpenAI previously claimed that GPT-5 will also make the existing models significantly better at everything.

“GPT-5 is our next foundational model that is meant to just make everything our models can currently do better and with less model switching,” Jerry Tworek, who is a VP at OpenAI, wrote in a Reddit post.

Right now, we don’t know when GPT-5 will begin rolling out to everyone, but Sam Altman suggests it’s coming in the summer.

While cloud attacks may be growing more sophisticated, attackers still succeed with surprisingly simple techniques.

Drawing from Wiz’s detections across thousands of organizations, this report reveals 8 key techniques used by cloud-fluent threat actors.



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Puck hires Krietzberg to cover artificial intelligence

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Ian Krietzberg

Puck has hired Ian Krietzberg to cover artificial intelligence, primarily through a twice-weekly newsletter.

He previously was editor in chief of The Daily View, which produces a daily newsletter on artificial intelligence.

Before that, Krietzberg was a staff writer at TheStreet.com cover tech and trending news.

He is a graduate of the College of New Jersey.





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