Why DELL Could Be a Big Winner in the AI Cloud Spending Boom

As the tech world grapples with the ebb and flow of generative AI hype, one thing remains clear: the major players are doubling down on their investments. Despite a nearly 15% drop in the Nasdaq since July’s highs and concerns about a potential repeat of the dot-com bubble, the tech giants aren’t flinching.

The second-quarter earnings season revealed that major technology companies like Amazon.com, Inc. (AMZN), Microsoft Corporation (MSFT), Alphabet Inc. (GOOGL), and Meta Platforms, Inc. (META) are more bullish than ever, continuing to fuel their AI ambitions with hefty investments. Together, these companies have poured around $40 billion into cloud computing, with a significant portion allocated for GPUs and other AI-related tech.

For example, the partnership between Microsoft and OpenAI has sparked a massive capital expenditure (CAPEX) buildout and triggered a surge in demand for GPUs. So far, enterprise adoption of generative AI has mostly involved exploratory projects within the public cloud.

Following the release of second-quarter results by these tech behemoths, Susquehanna analyst Mehdi Hosseini raised his 2024 global capital expenditure forecast for the top 12 cloud computing providers by 3%, bringing the total to $192 billion, up by 55% from last year. And if that wasn’t robust enough, Hosseini predicts spending will rise by another 40% to 42% in 2025.

Amid this surge in AI investment, Dell Technologies Inc. (DELL) is emerging as an unexpected contender. Traditionally recognized for its personal computing products, Dell is now aggressively expanding its footprint in AI and cloud computing. With the growing need for data centers and advanced cloud solutions, Dell’s strategic shift positions it well to benefit from this boom.

So, could DELL be a major winner in the AI revolution? Let’s find out.

Dell’s Strategic Position in the AI Server Market

Dell Technologies has evolved far beyond its origins as a producer of Windows-powered PCs. While high-end laptops and gaming stations remain significant, Dell’s focus has increasingly shifted toward becoming a leading player in the AI and cloud infrastructure space.

The company’s extensive portfolio includes everything from data centers to edge computing solutions, positioning it as a versatile player in the tech world. DELL’s infrastructure solutions are particularly noteworthy, as they cater to the growing demand for advanced AI computing power. The company has built a strong reputation for assembling efficient, high-performance data centers, a crucial asset as AI and machine learning drive demand for robust computing infrastructure.

Moreover, Dell’s partnerships with major cloud providers and tech giants like NVIDIA Corporation (NVDA) underscore its critical role in the AI ecosystem. NVDA’s endorsement of Dell as a premier solution for building data centers is a testament to its capabilities. The “AI Factory” initiative, highlighted by Nvidia CEO Jensen Huang, marks DELL as a leading player in the transition to AI-accelerated computing environments.

The company’s infrastructure solutions segment, which generated $4.3 billion in operating income last year, stands to benefit immensely from the accelerating demand for advanced AI computing systems. This growth potential is reinforced by the company’s strategic focus on high-performance servers and storage solutions tailored for AI applications.

In the first quarter ended May 3, 2024, DELL’s net revenue increased 6% year-over-year to $22.24 billion, exceeding the analysts’ expectations of $21.65 billion. Its Infrastructure Solutions Group’s (ISG) revenue stood at $9.23 billion, up 22% year-over-year. Thanks to strong demand across AI and traditional servers, the company’s servers and networking revenue grew 42% from the year-ago value to $5.47 billion.

On the bottom line, DELL’s net income and EPS came in at $955 million and $1.32, indicating an increase of 65% and 67% from the prior year. The company returned $1.10 billion to shareholders through share repurchases and dividends, ending the quarter with $7.30 billion in cash and investments.

Dell’s consistent ability to meet or exceed expectations, coupled with its aggressive cash returns to shareholders, has proven to be a winning strategy. This, along with its strong positioning in AI, has driven the stock price to more than double over the past twelve months. Shares of DELL have surged more than 45% year-to-date and nearly 95% over the past year.

As companies invest more in AI computing systems, the company’s infrastructure solutions are expected to see substantial growth. With tens of billions, potentially even hundreds of billions of dollars up for grabs, DELL is well-positioned to capture a significant share of this expanding market. If it continues to leverage its partnerships and infrastructure expertise, it could emerge as a major beneficiary of the AI boom, making it an intriguing stock for investors to consider.

NVDA’ Blackwell Delay: Is It Time to Rotate Into AMD?

NVIDIA Corporation (NVDA), the AI darling, recently hit a rough patch. A report from The Information revealed that Nvidia’s highly anticipated Blackwell series chips are delayed due to design flaws, causing a sharp 15% drop in the stock over the past week. Even with this dip, the stock is still up more than 170% over the past year, but as we know, past performance isn’t a guarantee of future returns.

So, what’s going on with Nvidia? And more importantly, is it time to consider alternatives?

Dark Clouds Are Looming Over the Future of Nvidia

Back in March, NVDA announced its Blackwell series, boasting capabilities that promised to build and operate real-time generative AI on trillion-parameter large language models at a fraction of the cost and energy consumption of its predecessor. But fast forward a few months, and the picture isn't as rosy.

According to the report, the company has informed major customers, including tech giants like Alphabet Inc. (GOOGL) and Microsoft Corporation (MSFT), that shipments of its Blackwell AI accelerator will be delayed by at least three months due to design flaws. It appears to involve Taiwan Semiconductor Manufacturing's new packaging technology, which NVDA is one of the first to use, and issues with the placement of bridge dies connecting two GPUs.

This isn’t just a minor hiccup. The delay could throw off the plans of customers such as Microsoft and Meta Platforms, Inc. (META), who have invested billions in Nvidia’s new GPUs to drive their AI services. The worry is that these delays might prevent these companies from deploying large clusters of the new chips in their data centers by the first quarter of 2025, as they had hoped.

Design flaws aren’t something that can be fixed overnight, which explains the significant delay. Nvidia, for its part, hasn’t outright confirmed or denied the delays but did say that “production is on track to ramp later in 2024.” However, with only a few months left in the year, this sounds more like an early 2025 release.

The delay has led tech companies to look for alternatives from NVDA’s competitors, such as Advanced Micro Devices, Inc. (AMD). MSFT and GOOGL, for example, are already working on next-generation products with AMD.

While Nvidia still dominates the data center GPU market, the Blackwell delay could weigh on its stock price and reputation. It’s arguably the most significant setback NVDA has faced since the AI boom began, and it might just be the moment for AMD to shine.

The Future of Advanced Micro Devices

With a market cap of $3.18 trillion, NVDA’s growth prospects seem more limited compared to AMD, which could see its valuation double from its current $250 billion as it gains momentum in the data center space.

In the second quarter, AMD’s data center revenue surged 115% year-over-year to $2.83 billion, accounting for nearly half of its total revenue. The Mi300 series brought in over $1 billion in quarterly revenue for the first time, with its customer base expanding as Microsoft became the first cloud provider to offer general availability for the Instinct Mi300X.

The significant increase in AMD’s data center sales, driven by AI applications, is expected to boost profits further, as this segment typically yields higher margins. Additionally, the company's recent acquisition of Silo AI, Europe's largest private AI lab, will enhance its capabilities in generative AI, including inference, training, and large language models.

Furthermore, Advanced Micro Devices’ client revenue rose 49% year-over-year to $1.49 billion, though with slimmer margins than its data center business. The recent drop in the gaming and embedded segments will likely bottom out soon, potentially lifting overall results. Even modest gains could significantly boost AMD's bottom line. The company reported net income of $265 million or $0.16 per share, up from $27 million or $0.20 per share recorded last year.

Investors are keen to see AMD challenge NVDA with its MI300X AI chip and demonstrate growth in its data center AI business. On the other hand, Street expects its revenue and EPS for the current year (ending December 2024) to increase 12.9% and 27.6% year-over-year to $25.62 billion and $3.38, respectively. If AMD can exceed expectations, the stock could experience significant gains in the coming months. Earlier this year, the company projected $4 billion in AI chip sales for 2024, representing about 15% of its expected revenue.

Is It Time to Ditch NVDA and Buy AMD?

Delays in Blackwell chip could impact NVDA’s market share and growth. If the delay is short, the stock might have minimal impact on its fiscal 2025 results. However, if it extends beyond three months, it could weigh heavily on the stock, especially as some analysts were anticipating a quicker resolution.

Additionally, concerns about whether the design flaw could lead to chip failures or affect production yields add to the uncertainty. Nvidia's decision to pause production and address the issue is a smart move, but it highlights the risks of its aggressive development timeline, which has been shortened from two years to one. While this strategy could pay off, it also increases the risk of errors or delays.

On the other hand, AMD is well-positioned to benefit from NVDA's ongoing headwinds. With its MI300X AI chip gaining traction and strong data center growth, Advanced Micro Devices could capture some market share from Nvidia. Given this backdrop, it might be the right time to consider rotating out of NVDA and into AMD, especially for investors looking to capitalize on the AI-driven growth in the semiconductor sector.

Big Tech’s In-House AI Chips: A Threat to Nvidia’s Data Center Revenue

Nvidia Corporation (NVDA) has long been the dominant player in the AI-GPU market, particularly in data centers with paramount high-compute capabilities. According to Germany-based IoT Analytics, NVDA owns a 92% market share in data center GPUs.

Nvidia’s strength extends beyond semiconductor performance to its software capabilities. Launched in 2006, CUDA, its development platform, has been a cornerstone for AI development and is now utilized by more than 4 million developers.

The chipmaker’s flagship AI GPUs, including the H100 and A100, are known for their high performance and are widely used in data centers to power AI and machine learning workloads. These GPUs are integral to Nvidia’s dominance in the AI data center market, providing unmatched computational capabilities for complex tasks such as training large language models and running generative AI applications.

Additionally, NVDA announced its next-generation Blackwell GPU architecture for accelerated computing, unlocking breakthroughs in data processing, engineering simulation, quantum computing, and generative AI.

Led by Nvidia, U.S. tech companies dominate multiple facets of the burgeoning market for generative AI, with market shares of 70% to over 90% in chips and cloud services. Generative AI has surged in popularity since the launch of ChatGPT in 2022. Statista projects the AI market to grow at a CAGR of 28.5%, resulting in a market volume of $826.70 billion by 2030.

However, NVDA’s dominance is under threat as major tech companies like Microsoft Corporation, Meta Platforms, Inc. (META), Amazon.com, Inc. (AMZN), and Alphabet Inc. (GOOGL) develop their own in-house AI chips. This strategic shift could weaken Nvidia’s grip on the AI GPU market, significantly impacting the company’s revenue and market share.

Let’s analyze how these in-house AI chips from Big Tech could reduce reliance on Nvidia’s GPUs and examine the broader implications for NVDA, guiding how investors should respond.

The Rise of In-house AI Chips From Major Tech Companies

Microsoft Azure Maia 100

Microsoft Corporation’s (MSFT) Azure Maia 100 is designed to optimize AI workloads within its vast cloud infrastructure, like large language model training and inference. The new Azure Maia AI chip is built in-house at Microsoft, combined with a comprehensive overhaul of its entire cloud server stack to enhance performance, power efficiency, and cost-effectiveness.

Microsoft’s Maia 100 AI accelerator will handle some of the company’s largest AI workloads on Azure, including those associated with its multibillion-dollar partnership with OpenAI, where Microsoft powers all of OpenAI’s workloads. The software giant has been working closely with OpenAI during the design and testing phases of Maia.

“Since first partnering with Microsoft, we’ve collaborated to co-design Azure’s AI infrastructure at every layer for our models and unprecedented training needs,” stated Sam Altman, CEO of OpenAI. “Azure’s end-to-end AI architecture, now optimized down to the silicon with Maia, paves the way for training more capable models and making those models cheaper for our customers.”

By developing its own custom AI chip, MSFT aims to enhance performance while reducing costs associated with third-party GPU suppliers like Nvidia. This move will allow Microsoft to have greater control over its AI capabilities, potentially diminishing its reliance on Nvidia’s GPUs.

Alphabet Trillium

In May 2024, Google parent Alphabet Inc. (GOOGL) unveiled a Trillium chip in its AI data center chip family about five times as fast as its previous version. The Trillium chips are expected to provide powerful, efficient AI processing that is explicitly tailored to GOOGL’s needs.

Alphabet’s effort to build custom chips for AI data centers offers a notable alternative to Nvidia’s leading processors that dominate the market. Coupled with the software closely integrated with Google’s tensor processing units (TPUs), these custom chips will allow the company to capture a substantial market share.

The sixth-generation Trillium chip will deliver 4.7 times better computing performance than the TPU v5e and is designed to power the tech that generates text and other media from large models. Also, the Trillium processor is 67% more energy efficient than the v5e.

The company plans to make this new chip available to its cloud customers in “late 2024.”

Amazon Trainium2

Amazon.com, Inc.’s (AMZN) Trainium2 represents a significant step in its strategy to own more of its AI stack. AWS, Amazon’s cloud computing arm, is a major customer for Nvidia’s GPUs. However, with Trainium2, Amazon can internally enhance its machine learning capabilities, offering customers a competitive alternative to Nvidia-powered solutions.

AWS Trainium2 will power the highest-performance compute on AWS, enabling faster training of foundation models at reduced costs and with greater energy efficiency. Customers utilizing these new AWS-designed chips include Anthropic, Databricks, Datadog, Epic, Honeycomb, and SAP.

Moreover, Trainium2 is engineered to provide up to 4 times faster training compared to the first-generation Trainium chips. It can be deployed in EC2 UltraClusters with up to 100,000 chips, significantly accelerating the training of foundation models (FMs) and large language models (LLMs) while enhancing energy efficiency by up to 2 times.

Meta Training and Inference Accelerator

Meta Platforms, Inc. (META) is investing heavily in developing its own AI chips. The Meta Training and Inference Accelerator (MTIA) is a family of custom-made chips designed for Meta’s AI workloads. This latest version demonstrates significant performance enhancements compared to MTIA v1 and is instrumental in powering the company’s ranking and recommendation ads models.

MTIA is part of Meta’s expanding investment in AI infrastructure, designed to complement its existing and future AI infrastructure to deliver improved and innovative experiences across its products and services. It is expected to complement Nvidia’s GPUs and reduce META’s reliance on external suppliers.

Bottom Line

The development of in-house AI chips by major tech companies, including Microsoft, Meta, Amazon, and Alphabet, represents a significant transformative shift in the AI-GPU landscape. This move is poised to reduce these companies’ reliance on Nvidia’s GPUs, potentially impacting the chipmaker’s revenue, market share, and pricing power.

So, investors should consider diversifying their portfolios by increasing their exposure to tech giants such as MSFT, META, AMZN, and GOOGL, as they are developing their own AI chips and have diversified revenue streams and strong market positions in other areas.

Given the potential for reduced revenue and market share, investors should re-evaluate their holdings in NVDA. While Nvidia is still a leader in the AI-GPU market, the increasing competition from in-house AI chips by major tech companies poses a significant risk. Reducing exposure to Nvidia could be a strategic move in light of these developments.

The Magnificent 7 Earnings: How to Position Your Portfolio

As earnings season ramps up, investors closely watch the “Magnificent Seven,” a group of high-profile tech companies that play a pivotal role in market dynamics. This week, three of these tech giants—Amazon.com, Inc. (AMZN), Apple Inc. (AAPL), and Meta Platforms, Inc. (META)—are set to report their quarterly earnings.

On July 30, the Nasdaq Composite declined sharply ahead of Microsoft Corporation (MSFT) earnings. Microsoft shares fell nearly 7% in extended trading on Tuesday as disappointing cloud results overshadowed better-than-expected revenue and earnings.

For the fourth quarter that ended June 30, 2024, MSFT’s revenue increased 15% year-over-year to $64.70 billion. That slightly surpassed the consensus revenue estimate of $64.44 billion. The company’s top segment, Intelligent Cloud, which includes its Azure services, reported $28.52 billion in revenue. It was up around 19% but fell short of analysts’ expectations of $28.68 billion.

Microsoft’s cloud business holds significant importance for Wall Street, as the company competes with Amazon Web Services and Google for AI workloads. All three firms heavily invest in enhancing AI capabilities, aiming to attract startups and large corporations as generative AI models advance rapidly.

In addition, MSFT posted fourth-quarter net income and earnings per share of $22 billion and $2.95, up 10% year-over-year. That compared to analysts’ EPS estimate of $2.94.

Mega-cap tech stocks had surged tremendously on high hopes for growth driven by artificial intelligence (AI). The upcoming earnings reports from major tech giants, including AMZN, AAPL, and META, will have far-reaching implications for the market. Positive results could reinvigorate confidence in Big Tech, while disappointing numbers might accelerate the shift to underperforming sectors like mid- and small-cap stocks.

Moreover, the earnings season coincides with a pivotal Federal Reserve meeting. Fed officials are expected to hold rates steady but may signal a potential rate cut in September following better news on inflation and signs the labor market is cooling. This decision will add another layer of complexity to market dynamics, influencing investor sentiment and market movements.

Key Earnings Reports: What to Watch For

Amazon.com, Inc. (AMZN)

With a $1.89 trillion market cap, Amazon.com, Inc. (AMZN) engages in the retail sale of consumer products, advertising, and subscription services via online and physical stores. The company operates through North America, International, and Amazon Web Services (AWS) segments.

Amazon’s second-quarter earnings, scheduled to be released on August 1, will shed light on consumer spending and enterprise cloud adoption. Investors will be keen to see how AWS is performing, as it is a significant revenue driver for the company. In the last reported first quarter, AWS segment sales rose 17% year-over-year to $25 billion.

“The combination of companies renewing their infrastructure modernization efforts and the appeal of AWS’s AI capabilities is reaccelerating AWS’s growth rate (now at a $100 billion annual revenue run rate); our Stores business continues to expand selection, provide everyday low prices, and accelerate delivery speed (setting another record on speed for Prime customers in Q1) while lowering our cost to serve; and, our Advertising efforts continue to benefit from the growth of our Stores and Prime Video businesses,” said Andy Jassy, AMZN’s President and CEO in first-quarter earnings release.

“It’s very early days in all of our businesses and we remain excited by how much more we can make customers’ lives better and easier moving forward,” Jassy added.

For the second quarter 2024 guidance, the tech giant’s net sales are expected to be between $144 billion and $149 billion, or grow between 7% and 11% compared to the second quarter of 2023. AMZN’s operating income is anticipated to be between $10 billion and $14 billion, compared with $7.7 billion in the second quarter of 2023.

Notably, on July 18, Amazon announced record-breaking sales for the 2024 Prime Day shopping event. During the 48-hour event, Prime members shopped millions of deals with over 35 categories and purchased more items than any prior Prime Day shopping event. Rufus, the company’s new AI-powered conversational shopping assistant, has assisted millions of customers quickly and easily navigating Amazon’s extensive selection.

Analysts appear bullish about the e-commerce giant’s prospects. Street expects AMZN’s revenue and EPS for the second quarter (ended June 2024) to increase 10.6% and 56.9% to $148.62 billion and $1.02, respectively. Moreover, the company topped consensus revenue and EPS estimates in all four trailing quarters, which is remarkable.

Shares of AMZN have surged about 14% over the past six months and more than 19% year-to-date. However, the stock has plunged around 6% over the past month.

Solid AWS growth in the second quarter and resilient consumer spending might justify increasing exposure to Amazon. However, slowing growth or rising costs could suggest reducing positions or hedging.

Apple Inc. (AAPL)

Apple Inc. (AAPL), valued at a $3.36 trillion market cap, is a global leader in consumer electronics, software, and services. Apple is renowned for its innovative products, including the iPhone, its flagship product which accounts for a significant portion of the company’s revenue, Mac computers, iPad, Apple Watch, AirPods, and services like the App Store, Apple Music, iCloud, and more.

AAPL’s third-quarter earnings, scheduled for August 1, will reflect the performance of its key product lines. For the second quarter that ended March 30, 2024, the company posted revenue of $90.75 billion, down 4% year-over-year. However, the revenue surpassed analysts’ estimate of $90.45 billion. Also, iPhone sales fell 10% year-over-year during the quarter. The company realized $5 billion in delayed iPhone 14 sales from Covid-based supply issues.

Furthermore, the company’s net income was $23.64 billion for the third quarter, down 2% from the prior year’s quarter. Apple reported quarterly earnings per share of $1.53, compared to the consensus estimate of $1.51.

In the last quarter, the company announced that its Board of Directors authorized $110 billion in share repurchases, an impressive 22% rise from last year’s $90 billion share authorization. It’s the largest buyback in the company’s history.

Apple did not offer formal guidance, but CEO Tim Cook told CNBC’s Steve Kovach that overall sales are expected to grow in the “low single digits” for the June quarter.

During an earnings call with analysts, AAPL CFO Luca Maestri indicated that the company will deliver double-digit year-over-year growth in iPad sales for the to-be-reported quarter. Additionally, he noted that the Services division is projected to continue growing at the current high rate observed over the past two quarters.

Analysts expect AAPL’s revenue and EPS for the third quarter to increase 3.2% and 6.5% to $84.38 billion and $1.34, respectively. Additionally, Apple surpassed consensus EPS estimates in each of the trailing four quarters.

Over the past month, AAPL’s stock has soared more than 2.5%. Further, the stock climbed approximately 16% over the past six months and around 13% year-to-date. Robust sales across key product lines could indicate solid consumer demand, driving Apple’s shares. However, updates on supply chain challenges and mitigation strategies will be crucial in the upcoming earnings report.

Meta Platforms (META)

With a market cap of $1.18 trillion, Meta Platforms, Inc. (META), formerly known as Facebook, Inc., is a tech conglomerate with key products, such as Facebook, Instagram, WhatsApp, and Messenger. It operates in two segments: Family of Apps and Reality Labs.

META is expected to report its second-quarter 2024 earnings on July 31 after the market closes. Meta’s first-quarter revenue was $36.46 billion, compared to the consensus estimate of $36.22 billion. Its revenue was up 27.3% year-over-year. The company’s ad impressions delivered across its Family of Apps grew by 20% year-over-year, and the average price per ad grew by 6%.

Further, the company reported an EPS of $4.71 for the March quarter, exceeding analysts’ expectations of $4.36 and being up 114% year over year.

Meta Platforms no longer provide data on daily active users (DAUs) and monthly active users (MAUs). Instead, it reports a consolidated figure called family daily active people (DAP). DAP was 3.24 billion on average for March, an increase of 7% year-over-year.

In the last earnings release, Meta’s founder and CEO, Mark Zuckerberg, said, “It's been a good start to the year. The new version of Meta AI with Llama 3 is another step towards building the world's leading AI. We're seeing healthy growth across our apps and we continue making steady progress building the metaverse as well.”

In April, META announced the latest version of Meta AI with Llama 3, one of the world’s leading AI assistants. This version is free and readily available in several countries. Meta AI is available across its apps, including Facebook, Instagram, WhatsApp, and Messenger, to get things done, learn, create, and access real-time information. The new advances in Meta AI with Llama 3 are expected to extend META’s market reach and boost its profitability.

For the second quarter of 2024, META expects sales between $36.50 billion to $39 billion. The midpoint of the range, $37.75 billion, will represent nearly 18% year-over-year growth. Meanwhile, analysts anticipate the company’s revenue for the June quarter to increase 19.7% year-over-year to $38.31 billion, and the consensus EPS estimate of $4.78 indicates an improvement of 60.5% year-over-year.

Meta has raised investor expectations due to its improved financial performance in recent quarters, leaving little room for error. The stock is up about 2% over the past five days and nearly 30% year-to-date. In February 2023, META CEO Mark Zuckerberg announced it would be the “year of efficiency,” which sparked the rally.

At that time, Zuckerberg stated that the company would focus on eliminating unnecessary projects and reducing bloat, aiming to transform Meta into a “stronger and more nimble organization.” Consequently, the company cut about 21,000 jobs in the first half of 2023, with Zuckerberg indicating in February this year that hiring would be “relatively minimal compared to historical levels.”

The headcount decreased by 10% in the first quarter of 2024 compared to the previous year, bringing it down to 69,329 employees.

Meta’s capital expenditures for fiscal 2024 are projected to be between $35 billion and $40 billion, up from a prior forecast of $30 billion to $37 billion. This increase is attributed to accelerated infrastructure investments to support the company’s artificial intelligence (AI) roadmap, META said.

Bottom Line

As earnings reports from tech giants, including META, AAPL, and AMZN, approach, investors should prepare for potential market shifts. Investors can better position their portfolios by closely monitoring these results and considering broader economic signals, such as the Federal Reserve’s actions. A balanced approach with diversification, sector rotation, and hedging can help manage risks and capitalize on opportunities in this critical earnings season.

Broadcom (AVGO) and Micron (MU): Top Picks for Data Center Investment Surge

The expected record spending on infrastructure by cloud computing leaders such as Microsoft Corporation (MSFT) and Amazon.com, Inc. (AMZN) this year highlights the escalating investments in artificial intelligence (AI) data centers, a trend likely to benefit chipmakers significantly.

Bank of America (BofA) analysts forecast that cloud service provider capital expenditures will reach $121 billion in the second half of 2024, bringing the total to a record $227 billion in 2024. This figure marks a 39% increase compared to the previous year.

c, Microsoft, and Meta Platforms, Inc. (META) are predicted to more than double their spending compared to 2020 levels, while Oracle Corporation (ORCL) is expected to increase its capital expenditure nearly sixfold. The proportion of this spending allocated to data centers is already around 55% and is anticipated to rise further, reflecting the critical role of data centers in supporting advanced AI applications.

While NVIDIA Corporation (NVDA) stands out as the dominant player in the AI GPU market, BofA analysts have highlighted Broadcom Inc. (AVGO) and Micron Technology, Inc. (MU) as compelling alternatives for investors seeking to benefit from this trend.

In this article, we will delve into why Broadcom and Micron are well-positioned to capitalize on growing investments by cloud service providers in AI data centers, evaluate their financial health and recent performance, and explore the potential headwinds and tailwinds they may encounter in the near future.

Broadcom Inc. (AVGO)

Valued at a $732.45 billion market cap, Broadcom Inc. (AVGO) is a global tech leader that designs, develops, and supplies semiconductor and infrastructure software solutions. Broadcom’s extensive portfolio of semiconductor solutions, including networking chips, storage adapters, and advanced optical components, makes it a critical supplier for data centers.

Moreover, Broadcom’s leadership in networking solutions, exemplified by its Tomahawk and Trident series of Ethernet switches, positions it as a critical beneficiary of increased AI data center spending.

In May, AVGO revolutionized the data center ecosystem with its latest portfolio of highly scalable, high-performing, low-power 400G PCIe Gen 5.0 Ethernet adapters. The latest products provide an improved, open, standards-based Ethernet NIC and switching solution to address connectivity bottlenecks caused by the rapid growth in XPU bandwidth and cluster sizes in AI data centers.

Further, Broadcom’s strategic acquisitions, such as the recent purchase of VMware, Inc., enhance its data center and cloud computing capabilities. With this acquisition, AVGO will bring together its engineering-first, innovation-centric teams as it takes another significant step forward in building the world’s leading infrastructure technology company. 

Broadcom’s solid second-quarter performance was primarily driven by AI demand and VMware. AVGO’s net revenue increased 43% year-over-year to $12.49 billion in the quarter that ended May 5, 2024. That exceeded the consensus revenue estimate of $12.01 billion. Revenue from its AI products hit a record of $3.10 billion for the quarter.

AVGO reported triple-digit revenue growth in the Infrastructure Software segment to $5.29 billion as enterprises increasingly adopted the VMware software stack to build their private clouds. Its gross margin rose 27.2% year-over-year to $7.78 billion. Its non-GAAP operating income grew 32% from the year-ago value to $7.15 billion. Its adjusted EBITDA was $7.43 billion, up 30.6% year-over-year.

Further, the company’s non-GAAP net income was $5.39 billion or $10.96 per share, up 20.2% and 6.2% from the prior year’s quarter, respectively. Cash from operations of $4.58 billion for the quarter, less capital expenditures of $132 million, resulted in free cash flow of $4.45 billion, or 36% of revenue.

When it posted solid earnings for its second quarter, Broadcom announced a ten-for-one stock split, which took effect on July 12, making stock ownership more affordable and accessible to investors.

Moreover, AVGO raised its fiscal year 2024 guidance. The tech company expects full-year revenue of nearly $51 billion. Broadcom anticipates $10 billion in revenue from chips related to AI this year. Its adjusted EBITDA is expected to be approximately 61% of projected revenue.

Analysts expect AVGO’s revenue for the third quarter (ending July 2024) to grow 45.9% year-over-year to $12.95 billion. The consensus EPS estimate of $1.20 for the ongoing quarter indicates a 14% year-over-year increase. Also, the company has surpassed the consensus revenue and EPS estimates in each of the trailing four quarters.

In addition, the company’s revenue and EPS for the fiscal year ending October 2024 are expected to increase 43.6% and 12.4% from the previous year to $51.44 billion and $4.75, respectively.

AVGO’s shares have gained more than 29% over the past six months and around 74% over the past year. Moreover, the stock is up nearly 40% year-to-date.

Micron Technology, Inc. (MU)

Another chipmaker that is well-poised to benefit from significant data center spending among enterprises is Micron Technology, Inc. (MU). With a $126.70 billion market cap, MU provides cutting-edge memory and storage products globally. The company operates through four segments: Compute and Networking Business Unit; Mobile Business Unit; Embedded Business Unit; and Storage Business Unit.

Micron’s role as a leading provider of DRAM and NAND flash memory positions it to capitalize on the surging demand for high-performance memory solutions. The need for advanced memory products grows as data centers expand to support AI and machine learning workloads. The company’s innovation in memory technologies, such as the HBM2E, aligns well with the performance requirements of modern data centers.

Also, recently, MU announced sampling its next-generation GDDR7 graphics memory with the industry’s highest bit density. The best-in-class capabilities of Micro GDDR7 will optimize AI, gaming, and high-performance computing workloads. Notably, Micron reached an industry milestone as the first to validate and ship 128GB DDR5 32Gb server DRAM to address the increasing demands for rigorous speed and capacity of memory-intensive Gen AI applications.

Further, MU’s strategic partnerships with leading tech companies like Nvidia and Intel Corporation (INTC) position the chipmaker at the forefront of technology advancements. In February, Micron started mass production of its HBM2E solution for use in Nvidia’s latest AI chip. Micron’s 24GB 8H HBM3E will be part of NVIDIA H200 Tensor Core GPUs, expected to begin shipping in the second quarter.

For the third quarter, which ended May 30, 2024, MU posted revenue of $6.81 billion, surpassing analysts’ expectations of $6.67 billion. That compared to $5.82 billion in the prior quarter and $3.75 billion for the same period last year. Moreover, AI demand drove 50% sequential data center revenue growth and record-high data center revenue mix.

MU’s non-GAAP gross margin was $1.92 billion, versus $1.16 million in the prior quarter and negative $603 million for the previous year’s quarter. Its non-GAAP operating income came in at $941 million, compared to $204 million in the prior quarter and negative $1.47 billion for the same period in 2023.

Additionally, the chip company reported non-GAAP net income and earnings per share of $702 million and $0.62 for the third quarter, compared to non-GAAP net loss and loss per share of $1.57 billion and $1.43 a year ago, respectively. Its EPS beat the consensus estimate of $0.53. Its adjusted free cash flow was $425 million during the quarter, compared to a negative $1.36 billion in the prior year’s quarter.

For the fourth quarter of fiscal 2024, Micron expects non-GAAP revenue of $7.60 million ± $200 million, and its gross margin is anticipated to be 34.5% ± 1%. Also, the company expects its non-GAAP earnings per share to be $1.08 ± 0.08.

Analysts expect AVGO’s revenue for the fourth quarter (ending August 2024) to increase 91.4% year-over-year to $7.68 billion. The company is expected to report an EPS of $1.14 for the current quarter, compared to a loss per share of $1.07 in the prior year’s quarter. Further, the company has surpassed the consensus revenue and EPS estimates in each of the trailing four quarters.

MU’s shares have surged over 30% over the past six months and approximately 75% over the past year.

Bottom Line

The substantial surge in capital expenditures by cloud computing giants like Microsoft, Amazon, and Alphabet highlights the importance of AI and data centers in the tech industry’s landscape. Broadcom and Micron emerge as two of the most promising chip stocks for investors seeking to benefit from this trend. Both companies offer solid financial health, significant market positions, and exposure to the expanding data center and AI markets.

While Broadcom’s diverse semiconductor solutions and Micron’s leadership in memory technology make them attractive investment opportunities, investors must remain mindful of potential headwinds, including market competition and geopolitical risks. By evaluating these factors and understanding the growth potential of these companies, investors can make informed decisions in the rapidly evolving technology sector.