As Tech Stocks Churn, Nvidia and Other Semiconductor Plays Look Cheap

Key Concepts

• AI Spending & ROI: Concerns surrounding the return on investment for massive capital expenditures (CAPEX) in Artificial Intelligence, particularly by hyperscalers like Google and Meta.
• Hyperscalers: Large-scale data centers and cloud computing providers (e.g., Google, Meta) driving significant demand for semiconductors.
• Server CPUs vs. GPUs: The interplay between demand for traditional server Central Processing Units (CPUs) and Graphics Processing Units (GPUs) in the context of AI workloads.
• Memory Shortage: A critical bottleneck in the semiconductor supply chain, impacting pricing and availability of DRAM and NAND flash memory.
• OpenAI & Google Gemini: Competition between OpenAI and Google in the AI model space, and the implications for their respective chip suppliers.
• CUDA Ecosystem: Nvidia’s proprietary parallel computing platform and programming model, a key advantage in the AI space.
• TPUs: Tensor Processing Units, custom AI accelerator chips developed by Google.
• Secular Trends in Automotive: Increasing semiconductor content in vehicles, driven by electrification, advanced driver-assistance systems (ADAS), and autonomous driving.

Semiconductor Market Analysis: Navigating AI Investment & Supply Chain Dynamics (February 5, 2024)

This discussion with Brian Kel, Senior Equity Analyst at Morningstar, analyzes the recent pullback in semiconductor and AI-related stocks, dissecting the underlying drivers and identifying potential investment opportunities. The conversation, timestamped February 5th, focuses on earnings disappointments, hyperscaler spending, competitive dynamics, and supply chain constraints.

I. Recent Market Pullback & Earnings Disappointments

The recent sell-off in tech stocks, extending beyond semiconductors to software and other AI-linked sectors, is attributed to a combination of overall market fear and specific earnings reports. Intel and AMD were highlighted as key disappointments, despite prior stock run-ups. Investors anticipated substantial revenue and earnings growth driven by strong demand for server CPUs, fueled by the expansion of AI workloads. However, both companies failed to meet these elevated expectations.

• Intel: Faced supply constraints due to in-house manufacturing limitations, hindering its ability to capitalize on demand.
• AMD: While experiencing growth, AMD’s performance fell short of the “smash hit” anticipated by investors.
• Memory Shortage: A significant bottleneck impacting the entire semiconductor ecosystem. Memory and hard disk drive manufacturers (SanDisk, Seagate, Western Digital, Micron) are benefiting from substantial price increases and shortages, expected to persist for 2-3 years. This shortage impacted PC and smartphone markets, potentially increasing prices for consumers.

Google’s announcement of $180 billion in CAPEX (almost double its 2025 spending) further fueled investor concerns about the ROI of AI investments, potentially leading to lower chip sales in the future. However, Nvidia and Broadcom saw gains due to immediate benefits from Google’s spending.

II. AI Bubble Concerns & Competitive Landscape

While concerns about an “AI bubble” have increased, Kel argues they are overblown, citing the massive spending commitments from hyperscalers like Meta ($600 billion over three years) and Google. The discussion shifted to the competitive dynamics between OpenAI and Google, specifically with the release of Google’s Gemini 3 model.

• Google vs. OpenAI: A strong Gemini 3 model poses a threat to OpenAI’s dominance, potentially impacting its suppliers (Nvidia, Microsoft, Oracle). However, Kel believes OpenAI will secure continued funding and maintain its position, supported by its large customer base (hundreds of millions of ChatGPT users) and the willingness of partners to invest.
• Shifting Investor Focus: The market is moving away from a “rising tide lifts all boats” mentality, with investors now focusing on specific companies, deals, and business lines.

III. Nvidia’s Position & Market Share Dynamics

The conversation highlighted a shift in the AI landscape, with investors scrutinizing individual company performance. While Nvidia remains a dominant player, its potential for complete market domination is being questioned.

• Nvidia’s Dominance: Nvidia’s CUDA ecosystem and full rack systems provide a significant competitive advantage. Despite concerns about Google’s in-house chip development and potential shifts in the OpenAI partnership, Kel believes Nvidia remains undervalued, with a fair value estimate of $240 (trading at $170 at the time of the discussion).
• Broadcom’s Role: Broadcom, a key supplier of TPUs to Google, is also considered undervalued, despite potential risks associated with Google’s increasing in-house chip development.
• AMD’s Challenges: AMD is heavily reliant on the OpenAI buildout, and a delay in GPU sales ramp-up (now expected in Q4 2026, pushed from H2 2026) contributed to its recent sell-off.

IV. Key Takeaways from Recent Earnings & Industry Trends

Recent earnings reports revealed several key insights:

• Hyperscaler Spending: Continued and accelerating CAPEX from hyperscalers confirms ongoing investment in AI.
• Server CPU Demand: Strong demand for server CPUs, coupled with supply constraints for Intel and AMD, presents both opportunities and challenges.
• Memory Market: The memory shortage is driving significant price increases and profitability for memory manufacturers.
• Analog & Industrial Semiconductors: A recovery in the analog and industrial semiconductor market is underway, driven by increasing chip content in automotive, industrial equipment, and IoT devices.
• PC & Smartphone Markets: Rising memory prices are expected to lead to higher prices for PCs and smartphones, potentially impacting unit sales.

Kel’s team’s fourth-quarter pulse report confirmed these trends, highlighting continued strong AI spending, recovery in server CPUs, and the impact of the memory shortage.

V. Investment Recommendations & Future Outlook

Kel identified several buying opportunities in the semiconductor sector:

• Nvidia: Undervalued due to concerns about competition and the OpenAI partnership, but still the backbone of AI.
• Broadcom: Attractive due to its relationship with Google, despite potential risks from in-house chip development.
• AMD: Oversold following its recent earnings report, presenting a potential entry point.
• NXP Semiconductor: A more conservative play focused on the automotive market, benefiting from increasing chip content in vehicles.

Despite macroeconomic concerns and the potential for a slowdown in electric vehicle adoption, Kel remains optimistic about the long-term outlook for the semiconductor industry, driven by secular trends in automotive, industrial automation, and the continued growth of AI.

Conclusion

The semiconductor market is undergoing a period of increased scrutiny and differentiation. While concerns about AI ROI and supply chain constraints persist, the underlying demand drivers remain strong. Investors are shifting their focus from broad-based AI exposure to specific companies and business lines. Nvidia, Broadcom, AMD, and NXP Semiconductor were identified as potential investment opportunities, offering a mix of growth potential and relative value. The key takeaway is that despite recent market volatility, the long-term outlook for the semiconductor industry remains positive.