Tag:

Western Digital Corp

Business

Jim Cramer: New AI Stocks Leading the Shift

by Chief Editor
written by Chief Editor

Wall Street is shifting its focus from artificial intelligence spenders to AI infrastructure suppliers. According to CNBC’s Jim Cramer, the “Magnificent Seven” tech group shed roughly $2.3 trillion in market value during June as investors questioned whether massive AI investments will produce sufficient earnings and free cash flow to justify the cost.

Why are the Magnificent Seven losing market value?

The Magnificent Seven—consisting of Apple, Alphabet, Amazon, Microsoft, Meta, Nvidia, and Tesla—faced a significant downturn in June. Investors are increasingly concerned about the return on investment for the massive capital expenditures required to build AI capabilities.

The largest spenders in this group, often referred to as “hyperscalers,” include Amazon, Alphabet, Microsoft, and Meta. These companies are pouring billions into AI data centers. Cramer noted that these hyperscalers have become victims of their own ambitions because the demand for compute infrastructure has outstripped the available supply.

This supply shortage has driven up the prices of essential components, specifically memory chips and networking equipment. Consequently, the companies footing the bill for AI development are facing higher costs, while the companies providing the hardware are seeing increased profits.

Did you know? The Magnificent Seven collectively lost approximately $2.3 trillion in market capitalization in a single month during the summer.

Who are the winners in the AI “picks and shovels” trade?

While the major tech customers face high costs, the suppliers of AI “picks and shovels” are seeing different results. Cramer stated that the biggest gainers in the current market are the exact opposite of the Magnificent Seven, producing products that are in short supply with “off the charts” demand.

Cramer identified several companies that have seen strong earnings growth and analyst upgrades due to this supply-demand imbalance:

  • Micron and Sandisk: Memory chipmakers.
  • Intel: A chipmaker.
  • Marvell Technology: A company that has seen strong earnings growth and analyst upgrades.
  • AMD: A company that has seen strong earnings growth and analyst upgrades.

Nvidia remains a central figure in the AI compute supply chain. However, Cramer noted that the stock has entered a “laggard camp” recently. This shift is driven by investor concerns regarding custom chip competition.

How is Intel positioned for future semiconductor demand?

Cramer singled out Intel as a top pick within the semiconductor sector. He attributed the company’s revitalization to the leadership of CEO Lip-Bu Tan. According to Cramer, Intel is strategically positioned to benefit from three specific growth drivers:

How is Intel positioned for future semiconductor demand?

1. Rising CPU Demand

As AI workloads expand, the demand for central processing units remains a critical component of data center architecture.

2. Advanced Chip Packaging

The complexity of modern AI chips requires sophisticated packaging technologies to ensure performance and efficiency.

3. Domestic Manufacturing

Intel’s focus on domestic semiconductor manufacturing aligns with shifting geopolitical and supply chain priorities.

Jim Cramer highlights the stock market's 'Magnificent Seven' outperforming stocks

Cramer referred to Intel as a “national treasure” during his analysis. His Charitable Trust, which manages the portfolio for CNBC’s Investing Club, currently holds shares in the company.

Pro Tip: When analyzing the AI trade, distinguish between the “hyperscalers” (the customers paying for infrastructure) and the “suppliers” (the companies selling the hardware).

Will the supply-demand imbalance continue?

The current market dynamic favors suppliers as long as the demand for AI infrastructure continues to outpace the ability to produce it. Cramer suggested that while some investors may view the market’s preference for suppliers over customers as unfair, the market has already established this trend.

The Investing Club continues to own six of the Magnificent Seven constituents, with Tesla being the only exception in that group. The strategy remains focused on the companies providing the essential tools for the AI boom rather than those attempting to build the end-user applications.

Frequently Asked Questions

What are the “Magnificent Seven” stocks?
The Magnificent Seven refers to a group of high-performing tech stocks: Apple, Alphabet, Amazon, Microsoft, Meta, Nvidia, and Tesla.

What is meant by “picks and shovels” in the AI trade?
This term refers to companies that provide the essential tools and components—such as memory chips and networking equipment—needed to build AI, rather than the companies building the AI software itself.

Why is Nvidia facing competition?
Nvidia faces potential competition from companies developing their own custom chips.

What is your outlook on the AI hardware sector?

Leave a comment below with your thoughts, or subscribe to our newsletter for more deep dives into market trends.

0 comments
0 FacebookTwitterPinterestEmail
Business

Tech Stocks Rebound as Samsung Surges 9%

by Chief Editor
written by Chief Editor

Asia’s technology stocks staged a broad rebound on Wednesday following a period of intense volatility in global markets. Shares of major South Korean chipmakers, including Samsung Electronics and SK Hynix, rose by 9% and 2.7% respectively, recovering from double-digit losses in the previous session. According to CNBC, this shift reflects a stabilization in investor sentiment after a sharp selloff triggered by concerns over semiconductor demand and broader economic headwinds.

Why are technology stocks rebounding?

The recent rally in Asian markets suggests that investors are distinguishing between temporary market corrections and long-term industry fundamentals. While the Nasdaq Composite dropped 2.2% during the latest Wall Street session, analysts argue that the underlying demand for artificial intelligence remains robust. Dan Ives of Wedbush Securities stated that channel checks across the Asian supply chain show “no cracks in the armor” for AI-driven growth.

Did you know?

The Philadelphia Semiconductor Index serves as a key barometer for the industry. When this index slides, as it did following recent selloffs, it often signals a broader reassessment of risk among institutional investors holding AI-linked assets.

How does market performance vary across regions?

Market reactions have remained fragmented across different global hubs. While South Korean constituents of the Kospi Index saw gains exceeding 3%, Japanese chip-equipment manufacturers faced mixed results. According to market data, Advantest shares fell 0.51% and Tokyo Electron dropped 3%, highlighting how specific domestic factors influence equity performance even during a regional recovery.

How does market performance vary across regions?

European markets also mirrored this cautious optimism. Companies such as ST Microelectronics and ASML recorded gains of 1.73% and 0.72% respectively. This contrast between the sharp declines seen in U.S. chipmakers like Micron Technology—which dropped 13%—and the steady performance of European suppliers illustrates the varying exposure firms have to current AI investment cycles.

Is the AI investment cycle slowing down?

Financial analysts view the recent fluctuations as a natural cooling-off period rather than a structural collapse. Dan Ives characterized the selloff in South Korean tech stocks as a “pause” following a nearly 100% rally in the Kospi index earlier this year. This perspective suggests that the current volatility is a valuation adjustment rather than a decline in the technological utility of semiconductors.

Pro Tip:

Investors tracking the semiconductor sector should monitor the Philadelphia Semiconductor Index alongside regional indices to distinguish between global sector trends and localized market corrections.

Frequently Asked Questions

Why did Samsung Electronics and SK Hynix stock prices drop so sharply before the rebound?

The stocks fell by more than 12% in a single session due to a broader global selloff in technology and AI-linked equities, which was exacerbated by negative sentiment on Wall Street.

Samsung Electronics Stock Analysis: KRW 43.6T 2025 Profit Signals Turnaround

What role does AI demand play in current market volatility?

According to Wedbush Securities, strong enterprise AI demand remains a core driver of the industry, suggesting that recent price drops are market-driven adjustments rather than fundamental issues with supply chain health.

Are European chip manufacturers performing differently than those in Asia?

Yes, European chip stocks such as ASML and Infineon have remained relatively steady compared to the high volatility seen in South Korean and U.S. markets, reflecting different investor risk appetites.

Stay informed on the latest shifts in the global semiconductor market. Subscribe to our newsletter for daily analysis on tech stocks and economic trends.

0 comments
0 FacebookTwitterPinterestEmail
Business

Beyond Hyperscalers: What’s Next for the AI Trade?

by Chief Editor
written by Chief Editor

The Hardware Bottleneck: Why Hyperscalers Are Struggling to Scale AI

The Hardware Bottleneck: Why Hyperscalers Are Struggling to Scale AI

The rapid expansion of artificial intelligence is hitting a physical wall as Amazon, Alphabet, Microsoft, and Meta Platforms face a critical shortage of specialized hardware. While these hyperscalers possess massive capital, they are constrained by the limited supply of high-bandwidth memory (HBM) chips and the capacity of fabrication plants. According to market data, memory stocks have surged 41% over the past month, while hyperscaler equities have declined, signaling that the real value in the AI supply chain has shifted from the software providers to the hardware manufacturers.

Why Is High-Bandwidth Memory (HBM) Creating a Market Bottleneck?

Why Is High-Bandwidth Memory (HBM) Creating a Market Bottleneck?

HBM is a specialized form of dynamic random access memory (DRAM) that serves as the backbone for AI computing performance. The market is highly concentrated, with SK Hynix holding approximately 60% of the share, while Samsung and Micron each control roughly 20%, according to industry analysis.

This concentration creates an unavoidable bottleneck for tech giants. Apple has already acknowledged that price increases for its products are linked to memory manufacturers prioritizing HBM production over consumer-grade DRAM. Because these chips are sold in business-to-business contexts, the pricing structures remain opaque, making it difficult for investors to gauge the full extent of the capital expenditure (capex) burden on companies like Microsoft and Meta. Both firms identified rising component costs as a primary driver for their recent, record-setting capex figures.

Did you know?
The “memory complex”—including storage firms like Seagate and Western Digital—has outperformed traditional tech giants recently, as their specialized hardware remains essential regardless of which AI model eventually wins the market.

Are Capital Equipment Firms the Real Winners of the AI Boom?

The HBM War of 2026: Why SK Hynix Earns a 72% Margin and Everyone Is Sold Out to 2030

The true intellectual property behind the AI surge lies not with the hyperscalers, but with the capital equipment companies that build the machines used to fabricate chips. Applied Materials, Lam Research, and KLA Corp are the primary entities driving the industry’s potential for output.

While some analysts feared these companies might face shortfalls, Applied Materials CEO Gary Dickerson reported “unprecedented visibility” regarding customer demand last month. Unlike the hyperscalers, which are currently locked in a fierce, costly battle for AI dominance, these equipment manufacturers are critical to the entire ecosystem. Their ability to deliver on orders determines the pace at which the hyperscalers can actually build their infrastructure.

How Are Custom AI Chips Reshaping the Nvidia Stranglehold?

How Are Custom AI Chips Reshaping the Nvidia Stranglehold?

Hyperscalers are attempting to bypass the high costs and supply constraints of Nvidia’s hardware by partnering with semiconductor designers like Marvell Technology and Broadcom. These partnerships aim to develop custom silicon tailored for specific cloud workloads.

* Amazon: Claims that its internal chip business would represent a $50 billion annual revenue run rate if it were a standalone entity.
* Marvell: Has seen its stock price triple this year, with Nvidia CEO Jensen Huang publicly identifying the firm as a potential “trillion-dollar company,” despite Marvell’s work with Amazon to challenge Nvidia’s market position.
* Broadcom: Despite a recent 22% post-earnings slide, the company continues to collaborate with Google to break the reliance on standard industry chips.

Pro Tip:
When evaluating tech stocks during periods of high capex, look at the supply chain suppliers (like Corning for fiber or Qnity for packaging) rather than just the service providers. These “around-the-edges” winners often capture value without the volatility of the model-building wars.

Frequently Asked Questions

Why are hyperscalers spending so much on AI?
Microsoft, Meta, Google, and Amazon are in a race to build the infrastructure required to host generative AI. This requires massive investments in data centers, cooling, and specialized semiconductors.

Is the memory shortage going to end soon?
According to industry reports, fabrication plants cannot be brought online fast enough to meet the current surge in demand. The bottleneck is expected to persist as long as HBM remains the primary constraint on chip production.

Why are some analysts shifting focus from hyperscalers to suppliers?
Hyperscalers face the pressure of proving profitability on their AI investments. Suppliers, such as those in the semiconductor equipment and storage sectors, provide the essential materials needed by all competitors, making them less vulnerable to the success or failure of a single AI model.

***

*Are you tracking the shift from software to hardware in your portfolio? Subscribe to our newsletter for weekly updates on the AI supply chain and market trends.*

0 comments
0 FacebookTwitterPinterestEmail