Düsseldorf – A significant shift in investor sentiment towards artificial intelligence (AI) stocks appears to be underway, spurred by the recent publication of Anthropic’s IPO prospectus. This development has injected renewed optimism into the market, with AI-related equities once again attracting considerable investor interest. Anthropic, the creator of the advanced AI model Claude, has demonstrated dynamic growth, signaling robust potential in the rapidly evolving AI landscape. This renewed focus comes after a period where AI stocks faced considerable pressure, leading some analysts to believe that current market valuations present a compelling entry point for investors.

Handelsblatt, in collaboration with insights from Goldman Sachs, has identified five key AI stocks that are frequently held by US hedge funds. These companies, despite experiencing significant pullbacks of at least 20% from their yearly highs, are largely recommended for purchase by a substantial majority of analysts, who collectively foresee an average upside potential of at least 30%. This consensus suggests that the recent market downturn may have created an opportune moment to invest in fundamentally strong AI companies.

Alphabet: Navigating the AI Investment Landscape

The AI Nexus of Alphabet: As the parent company of Google, Alphabet is deeply entrenched in the AI revolution. The integration of its sophisticated AI assistant, Gemini, into the widely used Google Search engine is a pivotal development. This strategic move not only enhances user experience but also bolsters Alphabet’s core advertising revenue streams, which continue to show consistent growth. Beyond search, Alphabet’s cloud computing division is experiencing an explosive expansion. In the second quarter, this segment witnessed an impressive 82% year-over-year revenue increase, now accounting for a significant 20% of the company’s total revenue. Furthermore, Alphabet’s proactive development of its own proprietary AI chips underscores its commitment to building a comprehensive AI ecosystem, positioning it as a key player in the foundational infrastructure of artificial intelligence.

Reasons for the Stock’s Decline: The rapid scaling of AI capabilities necessitates substantial investments in computing infrastructure. Alphabet’s management has projected capital expenditures for the entire year 2026 to range between $195 billion and $205 billion, representing a doubling compared to 2025. These enormous investments, particularly in building out data center capacity, have had a short-term impact on the company’s financial metrics. In the second quarter, Alphabet reported a negative free cash flow for the first time since its IPO in 2004, a key indicator of the company’s cash generation after accounting for all expenses. This metric highlights the significant capital outlay required to maintain its competitive edge in the AI race. Moreover, recurring concerns about the potential disruption of its core internet search business by advanced AI chatbots and agents continue to cast a shadow over investor confidence, fueling anxieties about future revenue models.

Analyst Optimism Amidst Concerns: Despite these short-term financial pressures and market concerns, analysts remain largely optimistic about Alphabet’s long-term prospects. The upcoming quarterly results, scheduled for October 28th, are anticipated to provide crucial clarity and potentially assuage investor uncertainties. Analysts point to the robust and, importantly, profitable growth within the cloud computing segment. The operating income in this division more than tripled in the second quarter, outpacing revenue growth and demonstrating its increasing contribution to profitability. Ingo Wermann, an analyst at DZ Bank, reiterated his buy recommendation last week, stating, "We have factored in the excellent prospects in our valuation model and determined a fair value of $420." Currently, the stock is trading around $321. Thomas Kurian, CEO of Google Cloud, recently addressed the high expenditure by noting that AI servers are expected to amortize within two years, and the chips themselves within one year. If this timeline holds, the AI infrastructure could become largely self-financing, leading to a swift turnaround in free cash flow.

Broadcom: Powering the AI Revolution with Advanced Chip Technology

Broadcom’s Role in the AI Ecosystem: Broadcom stands as a titan in the semiconductor industry, alongside Nvidia, recognized as one of the world’s foremost chip developers. This prominent position makes the US-based conglomerate a significant beneficiary of the ongoing AI boom, which is driving an unprecedented expansion of global computing power. The relentless demand for more powerful and efficient AI processing has directly translated into substantial growth for companies like Broadcom, which are at the forefront of supplying the essential hardware.

Market Expectations and Stock Performance: The market’s expectations for AI-driven growth are exceptionally high, with much of this anticipated expansion already factored into current stock prices. Broadcom’s stock, for instance, has surged by nearly 280% over the past three years, reflecting strong investor confidence in its future performance. However, concerns have emerged regarding the sustainability of the massive AI investments being made by major tech corporations. Investors are questioning how long these tech giants can continue to escalate their AI spending at the current pace, potentially leading to a saturation point or a recalibration of investment strategies.

Analyst Confidence in Continued AI Investment: Despite these market jitters, analysts maintain a positive outlook on Broadcom’s prospects, largely due to its robust order books. The stock is currently trading at a level last seen in August 2025, suggesting a consolidation phase after a period of rapid ascent. Crucially, Broadcom has projected a doubling of its AI chip sales for each of the next two fiscal years, a testament to the sustained demand it anticipates. This optimistic forecast underpins the current buy recommendations from analysts, positioning Broadcom as a strategic bet on the enduring strength of the AI investment cycle.

The Rise of Custom AI Chips: A particularly significant growth area highlighted by market research firm Omdia is the increasing demand for custom-designed AI chips. Projections indicate that by 2028, custom AI chips will surpass general-purpose graphics processing units (GPUs) in terms of shipments for the first time. This trend suggests a shift towards more specialized and efficient AI hardware, a market segment where Broadcom is well-positioned to capitalize.

Core Scientific: A Pivot to AI Infrastructure

From Bitcoin Mining to AI Services: Core Scientific, originally a prominent Bitcoin miner, has undergone a strategic transformation. The company’s initial business model involved providing computational power to validate and secure cryptocurrency transactions, a venture heavily reliant on the volatile price of Bitcoin. This dependence led to financial difficulties, culminating in a bankruptcy filing in 2022. However, Core Scientific has successfully reinvented itself as a critical provider of AI infrastructure. The company now specializes in leasing high-density data centers, along with essential services such as power, cooling, and security, to clients engaged in AI and machine learning applications. This new business model now accounts for an impressive 83% of its total revenue, signaling a successful pivot towards a more stable and high-growth market.

Capital-Intensive Expansion and Debt Concerns: The company’s new business model is intrinsically linked to the burgeoning AI sector, making it highly dependent on the sustained growth of the AI boom. To meet the anticipated surge in demand for computational resources, Core Scientific is actively expanding its data center capacity. This expansion, however, is capital-intensive. In the second quarter alone, investments in new facilities reached nearly $800 million, a significant figure when compared to the approximately $729 million invested in property, plant, and equipment throughout the entire year 2025. This aggressive expansion strategy inevitably leads to an increase in debt levels before the newly established data centers can generate substantial revenue, creating a short-term financial overhang.

Analyst Views on Valuation and Risk: Analyst Nick Giles from the financial services firm BRC Group notes that the market currently prices Core Scientific’s contracted capacity at lower multiples and assigns a reduced value to its pipeline capacity. This suggests a cautious approach from investors, who are weighing the company’s growth potential against its current debt burden and the inherent risks associated with a capital-intensive expansion. Despite these concerns, the stock is already trading at a premium when measured by its price-to-earnings (P/E) ratio, indicating that a significant portion of its future growth may already be priced in.

Micron Technology: Essential Memory for AI’s Computational Demands

The Crucial Role of Memory Chips: While Graphics Processing Units (GPUs) perform the core computational tasks in AI, they are heavily reliant on high-speed memory chips to process the immense volumes of data required for parallel processing. This is where Micron Technology, a leading US-based manufacturer of memory and storage solutions, plays a vital role in the AI ecosystem.

Market Dominance and Profitability: The market for these essential memory chips is largely dominated by three key players: Samsung and SK Hynix from South Korea, and Micron from the United States. The recent surge in demand for AI-driven computing has directly translated into significantly increased profits for these companies. As AI models become more complex and data-intensive, the need for advanced and high-capacity memory solutions continues to grow, creating a fertile ground for companies like Micron.

Reasons for the Stock’s Recent Decline: Like many other companies in the semiconductor sector, Micron experienced a significant sell-off as part of a broader market correction that impacted the entire chip industry. Investors are grappling with questions about the long-term sustainability of the current pace of AI investment by major technology corporations. Furthermore, reports suggesting advancements in China’s domestic memory chip development have added another layer of concern, potentially intensifying competition in the global market.

Potential for Oversupply and Cyclicality: The semiconductor industry is historically known for its cyclical nature, characterized by periods of rapid demand growth followed by potential oversupply. If the pace of AI investment slows or if competition intensifies, the significant capacity expansions undertaken by memory chip manufacturers could lead to an oversupply situation. This cyclical pattern, if it materializes, could put downward pressure on prices and profitability.

Analyst Optimism Driven by Strong Fundamentals: Despite the recent market turbulence, analysts remain optimistic about Micron’s prospects, largely buoyed by its recent financial performance. The company’s reported quarterly earnings at the end of September significantly exceeded analyst expectations, with revenue increasing fivefold and adjusted earnings multiplying elevenfold. Moreover, Micron’s forecast for the fiscal years 2026/27 also surpassed projections.

A Robust Order Backlog: A key indicator of Micron’s strong position is its current order backlog, which stands at approximately $150 billion. This figure not only exceeds the company’s projected total revenue for fiscal year 2026 ($133 billion) but also covers over 35% of its estimated revenue for 2030. This substantial backlog provides a strong foundation for future growth and revenue stability.

Bob O’Donnell, an analyst at Technalysis Research, commented that "Micron’s outstanding results and outlook should definitively silence the remaining doubvers of the AI buildout’s sustainability." The company’s valuation is also considered attractive, with many of the potential negative developments appearing to be already priced into the stock.

Vistra: The Power Behind the AI Boom

Supplying the Energy Demands of AI: The insatiable appetite for computational power fueled by AI technologies necessitates the expansion of existing data centers and the construction of new ones. This surge in demand directly benefits energy companies like Vistra, which are responsible for supplying the essential electricity required to power these massive facilities.

Existing Infrastructure and Strategic Partnerships: Vistra possesses a substantial portfolio of power generation assets, including a significant number of nuclear power plants. This existing infrastructure allows the company to offer supply contracts without needing to build entirely new capacity from scratch, providing a competitive advantage. Key clients of Vistra include major technology companies such as Meta Platforms (formerly Facebook) and Amazon, underscoring its critical role in supporting the infrastructure of the digital economy.

Stock Performance and Market Sentiment: Vistra’s business is inherently tied to the success of AI investments made by major tech corporations. A slowdown in AI development or a reduction in the demand for computational power would directly impact Vistra’s revenue and profitability. Consequently, the company’s stock performance is closely linked to prevailing market sentiment regarding the AI sector.

Dividend Yield and Valuation: While Vistra’s stock has shown significant appreciation over the past five years, rising by over 600%, its dividend yield currently stands at a modest 0.7%. This compares unfavorably to some European energy providers, such as RWE, which offers a dividend yield of 2.2%. The relatively low dividend yield, coupled with the stock’s strong past performance, suggests that much of its growth potential may have already been realized, making it a less attractive option for income-focused investors.

Analyst Expectations for Continued Growth: Analysts are banking on the continued expansion of the AI boom to drive sustained demand for reliable energy. They anticipate that the increasing electricity requirements of AI data centers, combined with the broader trend of electrification, will lead to higher demand for dependable energy supplies. This scenario, they believe, will enable Vistra to further increase its profits.

Capital Structure Simplification: A recent positive development for Vistra was the simplification of its capital structure in early October. The company repurchased all outstanding Series A preferred stock for $1 billion, eliminating dividend payments associated with this class of shares. This strategic move frees up capital that can be allocated to dividends for common shareholders, debt reduction, or investment in new power generation projects, enhancing shareholder value and potentially improving the company’s financial flexibility.

Note: This article was first published on October 26, 2026, at 3:58 PM. This article does not constitute investment advice and is intended for discussion purposes only. It may serve as a starting point for further research.